data_source
stringclasses 2
values | prompt
listlengths 2
2
| ability
stringclasses 1
value | reward_model
dict | extra_info
dict | metadata
null |
|---|---|---|---|---|---|
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Materialism: The French cleric Pierre Gassendi (1592-1665) represented the materialist tradition in opposition to the attempts of René Descartes (1596-1650) to provide the natural sciences with dualist foundations. There followed the materialist and atheist abbé Jean Meslier (1664-1729), Julien Offray de La Mettrie, the German-French Paul-Henri Thiry Baron d'Holbach (1723-1789), the Encyclopedist Denis Diderot (1713-1784), and other French Enlightenment thinkers; as well as (in England) John \"Walking\" Stewart (1747-1822), whose insistence in seeing matter as endowed with a moral dimension had a major impact on the philosophical poetry of William Wordsworth (1770-1850).",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1596-1650"
]
},
"style": "rule"
}
|
{
"index": "100",
"interaction_kwargs": {
"full_context": [
"Document 1: Materialism: The French cleric Pierre Gassendi (1592-1665) represented the materialist tradition in opposition to the attempts of René Descartes (1596-1650) to provide the natural sciences with dualist foundations. There followed the materialist and atheist abbé Jean Meslier (1664-1729), Julien Offray de La Mettrie, the German-French Paul-Henri Thiry Baron d'Holbach (1723-1789), the Encyclopedist Denis Diderot (1713-1784), and other French Enlightenment thinkers; as well as (in England) John \"Walking\" Stewart (1747-1822), whose insistence in seeing matter as endowed with a moral dimension had a major impact on the philosophical poetry of William Wordsworth (1770-1850).",
"Document 2: Cogito, ergo sum: Cogito ergo sum is a Latin philosophical proposition by René Descartes usually translated into English as ``I think, therefore I am ''. The phrase originally appeared in French as je pense, donc je suis in his Discourse on the Method, so as to reach a wider audience than Latin would have allowed. It appeared in Latin in his later Principles of Philosophy. As Descartes explained,`` we can not doubt of our existence while we doubt...'' A fuller form, penned by Antoine Léonard Thomas, aptly captures Descartes's intent: dubito, ergo cogito, ergo sum (``I doubt, therefore I think, therefore I am ''). The concept is also sometimes known as the cogito."
],
"ground_truth": [
"1596-1650"
],
"name": "graph_construction",
"question": "When did the person who said \"I think, therefore I am\" live?",
"sub_queries": [
"who said i think therefore i am quote Answer: René Descartes",
"René Descartes lived from what year to what year? Answer: 1596-1650"
],
"supporting_context": [
"Cogito, ergo sum: Cogito ergo sum is a Latin philosophical proposition by René Descartes usually translated into English as ``I think, therefore I am ''. The phrase originally appeared in French as je pense, donc je suis in his Discourse on the Method, so as to reach a wider audience than Latin would have allowed. It appeared in Latin in his later Principles of Philosophy. As Descartes explained,`` we can not doubt of our existence while we doubt...'' A fuller form, penned by Antoine Léonard Thomas, aptly captures Descartes's intent: dubito, ergo cogito, ergo sum (``I doubt, therefore I think, therefore I am ''). The concept is also sometimes known as the cogito.",
"Materialism: The French cleric Pierre Gassendi (1592-1665) represented the materialist tradition in opposition to the attempts of René Descartes (1596-1650) to provide the natural sciences with dualist foundations. There followed the materialist and atheist abbé Jean Meslier (1664-1729), Julien Offray de La Mettrie, the German-French Paul-Henri Thiry Baron d'Holbach (1723-1789), the Encyclopedist Denis Diderot (1713-1784), and other French Enlightenment thinkers; as well as (in England) John \"Walking\" Stewart (1747-1822), whose insistence in seeing matter as endowed with a moral dimension had a major impact on the philosophical poetry of William Wordsworth (1770-1850)."
]
},
"need_tools_kwargs": false,
"question": "When did the person who said \"I think, therefore I am\" live?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Ex-Sensitive: Ex-Sensitive is the second album by Scottish/American singer Ben Jelen and is his first release on Linda Perry's Custard Records. The first single, \"Where Do We Go\", failed to chart in the US.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Custard Records"
]
},
"style": "rule"
}
|
{
"index": "101",
"interaction_kwargs": {
"full_context": [
"Document 1: Ex-Sensitive: Ex-Sensitive is the second album by Scottish/American singer Ben Jelen and is his first release on Linda Perry's Custard Records. The first single, \"Where Do We Go\", failed to chart in the US.",
"Document 2: Linda Perry: Linda Perry (born April 15, 1965) is an American singer - songwriter, musician, and record producer. She first became known as the lead singer and primary songwriter of 4 Non Blondes and has since founded two record labels and composed and produced hit songs for several other artists. They include: ``Beautiful ''by Christina Aguilera;`` What You Waiting For?'' by Gwen Stefani; and ``Get the Party Started ''by P! nk. Perry has also contributed to albums by Adele, Alicia Keys, and Courtney Love, as well as signing and distributing James Blunt in the United States. Perry was also inducted into the Songwriters Hall of Fame in 2015."
],
"ground_truth": [
"Custard Records"
],
"name": "graph_construction",
"question": "What record label does the singer in 4 non blondes sign?",
"sub_queries": [
"who is the singer in 4 non blondes Answer: Linda Perry",
"Linda Perry >> record label Answer: Custard Records"
],
"supporting_context": [
"Linda Perry: Linda Perry (born April 15, 1965) is an American singer - songwriter, musician, and record producer. She first became known as the lead singer and primary songwriter of 4 Non Blondes and has since founded two record labels and composed and produced hit songs for several other artists. They include: ``Beautiful ''by Christina Aguilera;`` What You Waiting For?'' by Gwen Stefani; and ``Get the Party Started ''by P! nk. Perry has also contributed to albums by Adele, Alicia Keys, and Courtney Love, as well as signing and distributing James Blunt in the United States. Perry was also inducted into the Songwriters Hall of Fame in 2015.",
"Ex-Sensitive: Ex-Sensitive is the second album by Scottish/American singer Ben Jelen and is his first release on Linda Perry's Custard Records. The first single, \"Where Do We Go\", failed to chart in the US."
]
},
"need_tools_kwargs": false,
"question": "What record label does the singer in 4 non blondes sign?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Kirtland Records: In 2003, John Kirtland co-founded Kirtland Records with his wife, The Polyphonic Spree choir member Jenny Kirtland. Kirtland Records leveraged the Bush back catalog rights to secure a national distribution deal with RED Distribution, which remains the label's distributor. Kirtland Records went on to become the record label for a number of Texas-based indie bands, including the Burden Brothers, The Polyphonic Spree, Toadies, The Vanished, and Sarah Jaffe.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2003"
]
},
"style": "rule"
}
|
{
"index": "102",
"interaction_kwargs": {
"full_context": [
"Document 1: Kirtland Records: In 2003, John Kirtland co-founded Kirtland Records with his wife, The Polyphonic Spree choir member Jenny Kirtland. Kirtland Records leveraged the Bush back catalog rights to secure a national distribution deal with RED Distribution, which remains the label's distributor. Kirtland Records went on to become the record label for a number of Texas-based indie bands, including the Burden Brothers, The Polyphonic Spree, Toadies, The Vanished, and Sarah Jaffe.",
"Document 2: Buried in Your Black Heart: Due to the relative success of the album, the band began touring as opening acts for Velvet Revolver, Papa Roach, and Finger Eleven. This touring eventually led to the recording of a live DVD entitled RYFOLAMF. During this time, the band also recruited Casey Hess for remaining tour dates and future recordings. This album is one of Kirtland Records highest-selling albums to date."
],
"ground_truth": [
"2003"
],
"name": "graph_construction",
"question": "When was the record label that released Buried In Your Black Heart created?",
"sub_queries": [
"Buried in Your Black Heart >> record label Answer: Kirtland Records",
"When was Kirtland Records created? Answer: 2003"
],
"supporting_context": [
"Kirtland Records: In 2003, John Kirtland co-founded Kirtland Records with his wife, The Polyphonic Spree choir member Jenny Kirtland. Kirtland Records leveraged the Bush back catalog rights to secure a national distribution deal with RED Distribution, which remains the label's distributor. Kirtland Records went on to become the record label for a number of Texas-based indie bands, including the Burden Brothers, The Polyphonic Spree, Toadies, The Vanished, and Sarah Jaffe.",
"Buried in Your Black Heart: Due to the relative success of the album, the band began touring as opening acts for Velvet Revolver, Papa Roach, and Finger Eleven. This touring eventually led to the recording of a live DVD entitled RYFOLAMF. During this time, the band also recruited Casey Hess for remaining tour dates and future recordings. This album is one of Kirtland Records highest-selling albums to date."
]
},
"need_tools_kwargs": false,
"question": "When was the record label that released Buried In Your Black Heart created?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Caroline of Ansbach: Her father, Margrave John Frederick of Brandenburg-Ansbach, belonged to a branch of the House of Hohenzollern and was the ruler of a small German state, the Principality of Ansbach. Caroline was orphaned at a young age and moved to the enlightened court of her guardians, King Frederick I and Queen Sophia Charlotte of Prussia. At the Prussian court, her previously limited education was widened, and she adopted the liberal outlook possessed by Sophia Charlotte, who became her good friend and whose views influenced Caroline all her life.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"House of Hohenzollern"
]
},
"style": "rule"
}
|
{
"index": "103",
"interaction_kwargs": {
"full_context": [
"Document 1: Caroline of Ansbach: Her father, Margrave John Frederick of Brandenburg-Ansbach, belonged to a branch of the House of Hohenzollern and was the ruler of a small German state, the Principality of Ansbach. Caroline was orphaned at a young age and moved to the enlightened court of her guardians, King Frederick I and Queen Sophia Charlotte of Prussia. At the Prussian court, her previously limited education was widened, and she adopted the liberal outlook possessed by Sophia Charlotte, who became her good friend and whose views influenced Caroline all her life.",
"Document 2: Louise of Great Britain: Louise of Great Britain (originally Louisa; 18 December 1724 – 19 December 1751) was Queen of Denmark and Norway from 1746 until her death, as the first wife of King Frederick V. She was the youngest surviving daughter of King George II of Great Britain and Caroline of Ansbach."
],
"ground_truth": [
"House of Hohenzollern"
],
"name": "graph_construction",
"question": "What family does the mother of Louise of Great Britain belong to?",
"sub_queries": [
"The mother of Louise of Great Britain is whom? Answer: Caroline of Ansbach",
"Caroline of Ansbach >> family Answer: House of Hohenzollern"
],
"supporting_context": [
"Louise of Great Britain: Louise of Great Britain (originally Louisa; 18 December 1724 – 19 December 1751) was Queen of Denmark and Norway from 1746 until her death, as the first wife of King Frederick V. She was the youngest surviving daughter of King George II of Great Britain and Caroline of Ansbach.",
"Caroline of Ansbach: Her father, Margrave John Frederick of Brandenburg-Ansbach, belonged to a branch of the House of Hohenzollern and was the ruler of a small German state, the Principality of Ansbach. Caroline was orphaned at a young age and moved to the enlightened court of her guardians, King Frederick I and Queen Sophia Charlotte of Prussia. At the Prussian court, her previously limited education was widened, and she adopted the liberal outlook possessed by Sophia Charlotte, who became her good friend and whose views influenced Caroline all her life."
]
},
"need_tools_kwargs": false,
"question": "What family does the mother of Louise of Great Britain belong to?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Super Bowl XLII: Super Bowl XLII was an American football game between the National Football Conference (NFC) champion New York Giants and the American Football Conference (AFC) champion New England Patriots to decide the National Football League (NFL) champion for the 2007 season. The Giants defeated the Patriots by the score of 17 -- 14. The game was played on February 3, 2008, at University of Phoenix Stadium in Glendale, Arizona.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"October 6"
]
},
"style": "rule"
}
|
{
"index": "104",
"interaction_kwargs": {
"full_context": [
"Document 1: Super Bowl XLII: Super Bowl XLII was an American football game between the National Football Conference (NFC) champion New York Giants and the American Football Conference (AFC) champion New England Patriots to decide the National Football League (NFL) champion for the 2007 season. The Giants defeated the Patriots by the score of 17 -- 14. The game was played on February 3, 2008, at University of Phoenix Stadium in Glendale, Arizona.",
"Document 2: 2013 New York Giants season: Week Date Opponent Result Record Game site NFL.com recap September 8 at Dallas Cowboys L 31 -- 36 0 -- 1 AT&T Stadium Recap September 15 Denver Broncos L 23 -- 41 0 -- 2 MetLife Stadium Recap September 22 at Carolina Panthers L 0 -- 38 0 -- 3 Bank of America Stadium Recap September 29 at Kansas City Chiefs L 7 -- 31 0 -- 4 Arrowhead Stadium Recap 5 October 6 Philadelphia Eagles L 21 -- 36 0 -- 5 MetLife Stadium Recap 6 October 10 at Chicago Bears L 21 -- 27 0 -- 6 Soldier Field Recap 7 October 21 Minnesota Vikings W 23 -- 7 1 -- 6 MetLife Stadium Recap 8 October 27 at Philadelphia Eagles W 15 -- 7 2 -- 6 Lincoln Financial Field Recap 9 Bye 10 November 10 Oakland Raiders W 24 -- 20 3 -- 6 MetLife Stadium Recap 11 November 17 Green Bay Packers W 27 -- 13 4 -- 6 MetLife Stadium Recap 12 November 24 Dallas Cowboys L 21 -- 24 4 -- 7 MetLife Stadium Recap 13 December 1 at Washington Redskins W 24 -- 17 5 -- 7 FedExField Recap 14 December 8 at San Diego Chargers L 14 -- 37 5 -- 8 Qualcomm Stadium Recap 15 December 15 Seattle Seahawks L 0 -- 23 5 -- 9 MetLife Stadium Recap 16 December 22 at Detroit Lions W 23 -- 20 (OT) 6 -- 9 Ford Field Recap 17 December 29 Washington Redskins W 20 -- 6 7 -- 9 MetLife Stadium Recap"
],
"ground_truth": [
"October 6"
],
"name": "graph_construction",
"question": "When was the last time the team that beat the Patriots in the Super Bowl was 0-5?",
"sub_queries": [
"who did the patriots lose to in the super bowl Answer: The Giants",
"when was the last time the The Giants were 0-5 Answer: October 6"
],
"supporting_context": [
"Super Bowl XLII: Super Bowl XLII was an American football game between the National Football Conference (NFC) champion New York Giants and the American Football Conference (AFC) champion New England Patriots to decide the National Football League (NFL) champion for the 2007 season. The Giants defeated the Patriots by the score of 17 -- 14. The game was played on February 3, 2008, at University of Phoenix Stadium in Glendale, Arizona.",
"2013 New York Giants season: Week Date Opponent Result Record Game site NFL.com recap September 8 at Dallas Cowboys L 31 -- 36 0 -- 1 AT&T Stadium Recap September 15 Denver Broncos L 23 -- 41 0 -- 2 MetLife Stadium Recap September 22 at Carolina Panthers L 0 -- 38 0 -- 3 Bank of America Stadium Recap September 29 at Kansas City Chiefs L 7 -- 31 0 -- 4 Arrowhead Stadium Recap 5 October 6 Philadelphia Eagles L 21 -- 36 0 -- 5 MetLife Stadium Recap 6 October 10 at Chicago Bears L 21 -- 27 0 -- 6 Soldier Field Recap 7 October 21 Minnesota Vikings W 23 -- 7 1 -- 6 MetLife Stadium Recap 8 October 27 at Philadelphia Eagles W 15 -- 7 2 -- 6 Lincoln Financial Field Recap 9 Bye 10 November 10 Oakland Raiders W 24 -- 20 3 -- 6 MetLife Stadium Recap 11 November 17 Green Bay Packers W 27 -- 13 4 -- 6 MetLife Stadium Recap 12 November 24 Dallas Cowboys L 21 -- 24 4 -- 7 MetLife Stadium Recap 13 December 1 at Washington Redskins W 24 -- 17 5 -- 7 FedExField Recap 14 December 8 at San Diego Chargers L 14 -- 37 5 -- 8 Qualcomm Stadium Recap 15 December 15 Seattle Seahawks L 0 -- 23 5 -- 9 MetLife Stadium Recap 16 December 22 at Detroit Lions W 23 -- 20 (OT) 6 -- 9 Ford Field Recap 17 December 29 Washington Redskins W 20 -- 6 7 -- 9 MetLife Stadium Recap"
]
},
"need_tools_kwargs": false,
"question": "When was the last time the team that beat the Patriots in the Super Bowl was 0-5?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Linda Perry: Linda Perry (born April 15, 1965) is an American singer - songwriter and record producer. She first became known as the lead singer and primary songwriter of 4 Non Blondes and has since founded two record labels and composed and produced hit songs for several other artists. They include: ``Beautiful ''by Christina Aguilera;`` What You Waiting For?'' by Gwen Stefani; and ``Get the Party Started ''by P! nk. Perry has also contributed to albums by Adele, Alicia Keys, and Courtney Love, as well as signing and distributing James Blunt in the United States. Perry was also inducted into the Songwriters Hall of Fame in 2015.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Custard Records"
]
},
"style": "rule"
}
|
{
"index": "105",
"interaction_kwargs": {
"full_context": [
"Document 1: Linda Perry: Linda Perry (born April 15, 1965) is an American singer - songwriter and record producer. She first became known as the lead singer and primary songwriter of 4 Non Blondes and has since founded two record labels and composed and produced hit songs for several other artists. They include: ``Beautiful ''by Christina Aguilera;`` What You Waiting For?'' by Gwen Stefani; and ``Get the Party Started ''by P! nk. Perry has also contributed to albums by Adele, Alicia Keys, and Courtney Love, as well as signing and distributing James Blunt in the United States. Perry was also inducted into the Songwriters Hall of Fame in 2015.",
"Document 2: Ex-Sensitive: Ex-Sensitive is the second album by Scottish/American singer Ben Jelen and is his first release on Linda Perry's Custard Records. The first single, \"Where Do We Go\", failed to chart in the US."
],
"ground_truth": [
"Custard Records"
],
"name": "graph_construction",
"question": "What is the record label for the singer of 4 Non Blondes?",
"sub_queries": [
"who is the singer of 4 non blondes Answer: Linda Perry",
"Linda Perry >> record label Answer: Custard Records"
],
"supporting_context": [
"Linda Perry: Linda Perry (born April 15, 1965) is an American singer - songwriter and record producer. She first became known as the lead singer and primary songwriter of 4 Non Blondes and has since founded two record labels and composed and produced hit songs for several other artists. They include: ``Beautiful ''by Christina Aguilera;`` What You Waiting For?'' by Gwen Stefani; and ``Get the Party Started ''by P! nk. Perry has also contributed to albums by Adele, Alicia Keys, and Courtney Love, as well as signing and distributing James Blunt in the United States. Perry was also inducted into the Songwriters Hall of Fame in 2015.",
"Ex-Sensitive: Ex-Sensitive is the second album by Scottish/American singer Ben Jelen and is his first release on Linda Perry's Custard Records. The first single, \"Where Do We Go\", failed to chart in the US."
]
},
"need_tools_kwargs": false,
"question": "What is the record label for the singer of 4 Non Blondes?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Franklin Institute: The Franklin Institute is a science museum and the center of science education and research in Philadelphia, Pennsylvania. It is named after the American scientist and statesman, Benjamin Franklin, and houses the Benjamin Franklin National Memorial. Founded in 1824, the Franklin Institute is one of the oldest centers of science education and development in the United States.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1824"
]
},
"style": "rule"
}
|
{
"index": "106",
"interaction_kwargs": {
"full_context": [
"Document 1: Franklin Institute: The Franklin Institute is a science museum and the center of science education and research in Philadelphia, Pennsylvania. It is named after the American scientist and statesman, Benjamin Franklin, and houses the Benjamin Franklin National Memorial. Founded in 1824, the Franklin Institute is one of the oldest centers of science education and development in the United States.",
"Document 2: Frank P. Brown Medal: The Frank P. Brown Medal was formerly awarded by the Franklin Institute for excellence in science, engineering, and structures. It was established by the 1938 will of Franklin Pierce Brown, a member of the Master Plumbers Association."
],
"ground_truth": [
"1824"
],
"name": "graph_construction",
"question": "When did the organization that gives out the Frank P. Brown Medal open?",
"sub_queries": [
"Who gives out the Frank P. Brown Medal award? Answer: Franklin Institute",
"When did Franklin Institute open? Answer: 1824"
],
"supporting_context": [
"Franklin Institute: The Franklin Institute is a science museum and the center of science education and research in Philadelphia, Pennsylvania. It is named after the American scientist and statesman, Benjamin Franklin, and houses the Benjamin Franklin National Memorial. Founded in 1824, the Franklin Institute is one of the oldest centers of science education and development in the United States.",
"Frank P. Brown Medal: The Frank P. Brown Medal was formerly awarded by the Franklin Institute for excellence in science, engineering, and structures. It was established by the 1938 will of Franklin Pierce Brown, a member of the Master Plumbers Association."
]
},
"need_tools_kwargs": false,
"question": "When did the organization that gives out the Frank P. Brown Medal open?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Super Bowl XLII: Super Bowl XLII was an American football game between the National Football Conference (NFC) champion New York Giants and the American Football Conference (AFC) champion New England Patriots to decide the National Football League (NFL) champion for the 2007 season. The Giants defeated the Patriots by the score of 17 -- 14. The game was played on February 3, 2008, at University of Phoenix Stadium in Glendale, Arizona.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2011"
]
},
"style": "rule"
}
|
{
"index": "107",
"interaction_kwargs": {
"full_context": [
"Document 1: Super Bowl XLII: Super Bowl XLII was an American football game between the National Football Conference (NFC) champion New York Giants and the American Football Conference (AFC) champion New England Patriots to decide the National Football League (NFL) champion for the 2007 season. The Giants defeated the Patriots by the score of 17 -- 14. The game was played on February 3, 2008, at University of Phoenix Stadium in Glendale, Arizona.",
"Document 2: New York Giants: Year Coach Super Bowl Location Opponent Score Record 1986 Bill Parcells XXI Pasadena, CA Denver Broncos 39 -- 20 17 -- 2 1990 Bill Parcells XXV Tampa, FL Buffalo Bills 20 -- 19 16 -- 3 2007 Tom Coughlin XLII Glendale, AZ New England Patriots 17 -- 14 14 -- 6 2011 Tom Coughlin XLVI Indianapolis, IN New England Patriots 21 -- 17 13 -- 7 Total Super Bowls won: 4"
],
"ground_truth": [
"2011"
],
"name": "graph_construction",
"question": "when was the last Super Bowl won by the team the Patriots lost to in the Super Bowl?",
"sub_queries": [
"who did the patriots lose to in the super bowl Answer: The Giants",
"when was the last super bowl the The Giants won Answer: 2011"
],
"supporting_context": [
"New York Giants: Year Coach Super Bowl Location Opponent Score Record 1986 Bill Parcells XXI Pasadena, CA Denver Broncos 39 -- 20 17 -- 2 1990 Bill Parcells XXV Tampa, FL Buffalo Bills 20 -- 19 16 -- 3 2007 Tom Coughlin XLII Glendale, AZ New England Patriots 17 -- 14 14 -- 6 2011 Tom Coughlin XLVI Indianapolis, IN New England Patriots 21 -- 17 13 -- 7 Total Super Bowls won: 4",
"Super Bowl XLII: Super Bowl XLII was an American football game between the National Football Conference (NFC) champion New York Giants and the American Football Conference (AFC) champion New England Patriots to decide the National Football League (NFL) champion for the 2007 season. The Giants defeated the Patriots by the score of 17 -- 14. The game was played on February 3, 2008, at University of Phoenix Stadium in Glendale, Arizona."
]
},
"need_tools_kwargs": false,
"question": "when was the last Super Bowl won by the team the Patriots lost to in the Super Bowl?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Frédéric Chopin: In 1836, at a party hosted by Marie d'Agoult, Chopin met the French author George Sand (born [Amantine] Aurore [Lucile] Dupin). Short (under five feet, or 152 cm), dark, big-eyed and a cigar smoker, she initially repelled Chopin, who remarked, \"What an unattractive person la Sand is. Is she really a woman?\" However, by early 1837 Maria Wodzińska's mother had made it clear to Chopin in correspondence that a marriage with her daughter was unlikely to proceed. It is thought that she was influenced by his poor health and possibly also by rumours about his associations with women such as d'Agoult and Sand. Chopin finally placed the letters from Maria and her mother in a package on which he wrote, in Polish, \"My tragedy\". Sand, in a letter to Grzymała of June 1838, admitted strong feelings for the composer and debated whether to abandon a current affair in order to begin a relationship with Chopin; she asked Grzymała to assess Chopin's relationship with Maria Wodzińska, without realising that the affair, at least from Maria's side, was over.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Cosima Wagner"
]
},
"style": "rule"
}
|
{
"index": "108",
"interaction_kwargs": {
"full_context": [
"Document 1: Frédéric Chopin: In 1836, at a party hosted by Marie d'Agoult, Chopin met the French author George Sand (born [Amantine] Aurore [Lucile] Dupin). Short (under five feet, or 152 cm), dark, big-eyed and a cigar smoker, she initially repelled Chopin, who remarked, \"What an unattractive person la Sand is. Is she really a woman?\" However, by early 1837 Maria Wodzińska's mother had made it clear to Chopin in correspondence that a marriage with her daughter was unlikely to proceed. It is thought that she was influenced by his poor health and possibly also by rumours about his associations with women such as d'Agoult and Sand. Chopin finally placed the letters from Maria and her mother in a package on which he wrote, in Polish, \"My tragedy\". Sand, in a letter to Grzymała of June 1838, admitted strong feelings for the composer and debated whether to abandon a current affair in order to begin a relationship with Chopin; she asked Grzymała to assess Chopin's relationship with Maria Wodzińska, without realising that the affair, at least from Maria's side, was over.",
"Document 2: Cosima Wagner: Cosima Wagner (born Francesca Gaetana Cosima Liszt; 24 December 1837 – 1 April 1930) was the illegitimate daughter of the Hungarian pianist and composer Franz Liszt and Marie d'Agoult. She became the second wife of the German composer Richard Wagner, and with him founded the Bayreuth Festival as a showcase for his stage works; after his death she devoted the rest of her life to the promotion of his music and philosophy. Commentators have recognised Cosima as the principal inspiration for Wagner's later works, particularly \"Parsifal\"."
],
"ground_truth": [
"Cosima Wagner"
],
"name": "graph_construction",
"question": "Who is the child of the host of the gathering where Frédéric was introduced to George Sand?",
"sub_queries": [
"Who was the host of the gathering where Frédéric was introduced to George Sand? Answer: Marie d'Agoult",
"Marie d'Agoult >> child Answer: Cosima Wagner"
],
"supporting_context": [
"Frédéric Chopin: In 1836, at a party hosted by Marie d'Agoult, Chopin met the French author George Sand (born [Amantine] Aurore [Lucile] Dupin). Short (under five feet, or 152 cm), dark, big-eyed and a cigar smoker, she initially repelled Chopin, who remarked, \"What an unattractive person la Sand is. Is she really a woman?\" However, by early 1837 Maria Wodzińska's mother had made it clear to Chopin in correspondence that a marriage with her daughter was unlikely to proceed. It is thought that she was influenced by his poor health and possibly also by rumours about his associations with women such as d'Agoult and Sand. Chopin finally placed the letters from Maria and her mother in a package on which he wrote, in Polish, \"My tragedy\". Sand, in a letter to Grzymała of June 1838, admitted strong feelings for the composer and debated whether to abandon a current affair in order to begin a relationship with Chopin; she asked Grzymała to assess Chopin's relationship with Maria Wodzińska, without realising that the affair, at least from Maria's side, was over.",
"Cosima Wagner: Cosima Wagner (born Francesca Gaetana Cosima Liszt; 24 December 1837 – 1 April 1930) was the illegitimate daughter of the Hungarian pianist and composer Franz Liszt and Marie d'Agoult. She became the second wife of the German composer Richard Wagner, and with him founded the Bayreuth Festival as a showcase for his stage works; after his death she devoted the rest of her life to the promotion of his music and philosophy. Commentators have recognised Cosima as the principal inspiration for Wagner's later works, particularly \"Parsifal\"."
]
},
"need_tools_kwargs": false,
"question": "Who is the child of the host of the gathering where Frédéric was introduced to George Sand?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Prince George William of Great Britain: Prince George William of Great Britain (13 November 1717 – 17 February 1718) was an infant member of the British royal family, second son of King George II and Caroline of Ansbach who, at the time of his birth, were the Prince and Princess of Wales. He died aged 3 months, 4 days.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"House of Hohenzollern"
]
},
"style": "rule"
}
|
{
"index": "109",
"interaction_kwargs": {
"full_context": [
"Document 1: Prince George William of Great Britain: Prince George William of Great Britain (13 November 1717 – 17 February 1718) was an infant member of the British royal family, second son of King George II and Caroline of Ansbach who, at the time of his birth, were the Prince and Princess of Wales. He died aged 3 months, 4 days.",
"Document 2: Caroline of Ansbach: Her father, Margrave John Frederick of Brandenburg-Ansbach, belonged to a branch of the House of Hohenzollern and was the ruler of a small German state, the Principality of Ansbach. Caroline was orphaned at a young age and moved to the enlightened court of her guardians, King Frederick I and Queen Sophia Charlotte of Prussia. At the Prussian court, her previously limited education was widened, and she adopted the liberal outlook possessed by Sophia Charlotte, who became her good friend and whose views influenced Caroline all her life."
],
"ground_truth": [
"House of Hohenzollern"
],
"name": "graph_construction",
"question": "What is the family of Prince George William of Great Britain's mother",
"sub_queries": [
"Who is Prince George William of Great Britain's mother? Answer: Caroline of Ansbach",
"Caroline of Ansbach >> family Answer: House of Hohenzollern"
],
"supporting_context": [
"Caroline of Ansbach: Her father, Margrave John Frederick of Brandenburg-Ansbach, belonged to a branch of the House of Hohenzollern and was the ruler of a small German state, the Principality of Ansbach. Caroline was orphaned at a young age and moved to the enlightened court of her guardians, King Frederick I and Queen Sophia Charlotte of Prussia. At the Prussian court, her previously limited education was widened, and she adopted the liberal outlook possessed by Sophia Charlotte, who became her good friend and whose views influenced Caroline all her life.",
"Prince George William of Great Britain: Prince George William of Great Britain (13 November 1717 – 17 February 1718) was an infant member of the British royal family, second son of King George II and Caroline of Ansbach who, at the time of his birth, were the Prince and Princess of Wales. He died aged 3 months, 4 days."
]
},
"need_tools_kwargs": false,
"question": "What is the family of Prince George William of Great Britain's mother",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Anne, Princess Royal and Princess of Orange: Anne, Princess Royal and Princess of Orange (2 November 1709 – 12 January 1759) was the second child and eldest daughter of King George II of Great Britain and his consort Caroline of Ansbach. She was the spouse of William IV, Prince of Orange, the first hereditary stadtholder of all seven provinces of the Northern Netherlands. She was Regent of the Netherlands from 1751 until her death in 1759, exercising extensive powers on behalf of her son William V. She was known as an Anglophile, due to her English upbringing and family connections, but was unable to convince the Dutch Republic to enter the Seven Years' War on the side of the British. Princess Anne was the second daughter of a British sovereign to hold the title Princess Royal. In the Netherlands she was sometimes known as Anna van Hannover.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"House of Hohenzollern"
]
},
"style": "rule"
}
|
{
"index": "110",
"interaction_kwargs": {
"full_context": [
"Document 1: Anne, Princess Royal and Princess of Orange: Anne, Princess Royal and Princess of Orange (2 November 1709 – 12 January 1759) was the second child and eldest daughter of King George II of Great Britain and his consort Caroline of Ansbach. She was the spouse of William IV, Prince of Orange, the first hereditary stadtholder of all seven provinces of the Northern Netherlands. She was Regent of the Netherlands from 1751 until her death in 1759, exercising extensive powers on behalf of her son William V. She was known as an Anglophile, due to her English upbringing and family connections, but was unable to convince the Dutch Republic to enter the Seven Years' War on the side of the British. Princess Anne was the second daughter of a British sovereign to hold the title Princess Royal. In the Netherlands she was sometimes known as Anna van Hannover.",
"Document 2: Caroline of Ansbach: Her father, Margrave John Frederick of Brandenburg-Ansbach, belonged to a branch of the House of Hohenzollern and was the ruler of a small German state, the Principality of Ansbach. Caroline was orphaned at a young age and moved to the enlightened court of her guardians, King Frederick I and Queen Sophia Charlotte of Prussia. At the Prussian court, her previously limited education was widened, and she adopted the liberal outlook possessed by Sophia Charlotte, who became her good friend and whose views influenced Caroline all her life."
],
"ground_truth": [
"House of Hohenzollern"
],
"name": "graph_construction",
"question": "Which family is the mother of Anne, Princess Royal and Princess of Orange's a member of?",
"sub_queries": [
"Who is Anne, Princess Royal and Princess of Orange's mother? Answer: Caroline of Ansbach",
"Caroline of Ansbach >> family Answer: House of Hohenzollern"
],
"supporting_context": [
"Anne, Princess Royal and Princess of Orange: Anne, Princess Royal and Princess of Orange (2 November 1709 – 12 January 1759) was the second child and eldest daughter of King George II of Great Britain and his consort Caroline of Ansbach. She was the spouse of William IV, Prince of Orange, the first hereditary stadtholder of all seven provinces of the Northern Netherlands. She was Regent of the Netherlands from 1751 until her death in 1759, exercising extensive powers on behalf of her son William V. She was known as an Anglophile, due to her English upbringing and family connections, but was unable to convince the Dutch Republic to enter the Seven Years' War on the side of the British. Princess Anne was the second daughter of a British sovereign to hold the title Princess Royal. In the Netherlands she was sometimes known as Anna van Hannover.",
"Caroline of Ansbach: Her father, Margrave John Frederick of Brandenburg-Ansbach, belonged to a branch of the House of Hohenzollern and was the ruler of a small German state, the Principality of Ansbach. Caroline was orphaned at a young age and moved to the enlightened court of her guardians, King Frederick I and Queen Sophia Charlotte of Prussia. At the Prussian court, her previously limited education was widened, and she adopted the liberal outlook possessed by Sophia Charlotte, who became her good friend and whose views influenced Caroline all her life."
]
},
"need_tools_kwargs": false,
"question": "Which family is the mother of Anne, Princess Royal and Princess of Orange's a member of?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: 1794 and 1795 United States Senate elections: The United States Senate elections of 1794 and 1795 were elections that had the formation of organized political parties in the United States, with the Federalist Party emerging from the Pro Administration coalition, and the Democratic-Republican Party emerging from the Anti-Administration coalition.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Jefferson"
]
},
"style": "rule"
}
|
{
"index": "111",
"interaction_kwargs": {
"full_context": [
"Document 1: 1794 and 1795 United States Senate elections: The United States Senate elections of 1794 and 1795 were elections that had the formation of organized political parties in the United States, with the Federalist Party emerging from the Pro Administration coalition, and the Democratic-Republican Party emerging from the Anti-Administration coalition.",
"Document 2: Democratic-Republican Party: The party was strongest in the South and weakest in the Northeast. It demanded states' rights as expressed by the ``Principles of 1798 ''articulated in the Kentucky and Virginia Resolutions that would allow states to nullify a federal law. Above all, the party stood for the primacy of the yeoman farmers. Republicans were deeply committed to the principles of republicanism, which they feared were threatened by the supposed monarchical tendencies of the Hamiltonian Federalists. The party came to power in 1801 with the election of Jefferson in the 1800 presidential election. The Federalists -- too elitist to appeal to most people -- faded away and totally collapsed after 1815. Despite internal divisions, the Republicans dominated the First Party System until partisanship itself withered away during the Era of Good Feelings after 1816."
],
"ground_truth": [
"Jefferson"
],
"name": "graph_construction",
"question": "Who was the first president from the party following the Anti-Administration Party?",
"sub_queries": [
"Anti-Administration Party >> followed by Answer: Democratic-Republican Party",
"who was the first president from the newly evolved Democratic-Republican Party Answer: Jefferson"
],
"supporting_context": [
"Democratic-Republican Party: The party was strongest in the South and weakest in the Northeast. It demanded states' rights as expressed by the ``Principles of 1798 ''articulated in the Kentucky and Virginia Resolutions that would allow states to nullify a federal law. Above all, the party stood for the primacy of the yeoman farmers. Republicans were deeply committed to the principles of republicanism, which they feared were threatened by the supposed monarchical tendencies of the Hamiltonian Federalists. The party came to power in 1801 with the election of Jefferson in the 1800 presidential election. The Federalists -- too elitist to appeal to most people -- faded away and totally collapsed after 1815. Despite internal divisions, the Republicans dominated the First Party System until partisanship itself withered away during the Era of Good Feelings after 1816.",
"1794 and 1795 United States Senate elections: The United States Senate elections of 1794 and 1795 were elections that had the formation of organized political parties in the United States, with the Federalist Party emerging from the Pro Administration coalition, and the Democratic-Republican Party emerging from the Anti-Administration coalition."
]
},
"need_tools_kwargs": false,
"question": "Who was the first president from the party following the Anti-Administration Party?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Super Bowl XLII: Super Bowl XLII was an American football game between the National Football Conference (NFC) champion New York Giants and the American Football Conference (AFC) champion New England Patriots to decide the National Football League (NFL) champion for the 2007 season. The Giants defeated the Patriots by the score of 17 -- 14. The game was played on February 3, 2008, at University of Phoenix Stadium in Glendale, Arizona.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2011"
]
},
"style": "rule"
}
|
{
"index": "112",
"interaction_kwargs": {
"full_context": [
"Document 1: Super Bowl XLII: Super Bowl XLII was an American football game between the National Football Conference (NFC) champion New York Giants and the American Football Conference (AFC) champion New England Patriots to decide the National Football League (NFL) champion for the 2007 season. The Giants defeated the Patriots by the score of 17 -- 14. The game was played on February 3, 2008, at University of Phoenix Stadium in Glendale, Arizona.",
"Document 2: New York Giants: Year Coach Super Bowl Location Opponent Score Record 1986 Bill Parcells XXI Pasadena, CA Denver Broncos 39 -- 20 17 -- 2 1990 Bill Parcells XXV Tampa, FL Buffalo Bills 20 -- 19 16 -- 3 2007 Tom Coughlin XLII Glendale, AZ New England Patriots 17 -- 14 14 -- 6 2011 Tom Coughlin XLVI Indianapolis, IN New England Patriots 21 -- 17 13 -- 7 Total Super Bowls won: 4"
],
"ground_truth": [
"2011"
],
"name": "graph_construction",
"question": "When was the super bowl won by the team that the Patriots lost to?",
"sub_queries": [
"who did the patriots lose to in the super bowl Answer: The Giants",
"when did the The Giants win their last super bowl Answer: 2011"
],
"supporting_context": [
"New York Giants: Year Coach Super Bowl Location Opponent Score Record 1986 Bill Parcells XXI Pasadena, CA Denver Broncos 39 -- 20 17 -- 2 1990 Bill Parcells XXV Tampa, FL Buffalo Bills 20 -- 19 16 -- 3 2007 Tom Coughlin XLII Glendale, AZ New England Patriots 17 -- 14 14 -- 6 2011 Tom Coughlin XLVI Indianapolis, IN New England Patriots 21 -- 17 13 -- 7 Total Super Bowls won: 4",
"Super Bowl XLII: Super Bowl XLII was an American football game between the National Football Conference (NFC) champion New York Giants and the American Football Conference (AFC) champion New England Patriots to decide the National Football League (NFL) champion for the 2007 season. The Giants defeated the Patriots by the score of 17 -- 14. The game was played on February 3, 2008, at University of Phoenix Stadium in Glendale, Arizona."
]
},
"need_tools_kwargs": false,
"question": "When was the super bowl won by the team that the Patriots lost to?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Frédéric Chopin: In October 1810, six months after Fryderyk's birth, the family moved to Warsaw, where his father acquired a post teaching French at the Warsaw Lyceum, then housed in the Saxon Palace. Fryderyk lived with his family in the Palace grounds. The father played the flute and violin; the mother played the piano and gave lessons to boys in the boarding house that the Chopins kept. Chopin was of slight build, and even in early childhood was prone to illnesses.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1823 to 1826"
]
},
"style": "rule"
}
|
{
"index": "113",
"interaction_kwargs": {
"full_context": [
"Document 1: Frédéric Chopin: In October 1810, six months after Fryderyk's birth, the family moved to Warsaw, where his father acquired a post teaching French at the Warsaw Lyceum, then housed in the Saxon Palace. Fryderyk lived with his family in the Palace grounds. The father played the flute and violin; the mother played the piano and gave lessons to boys in the boarding house that the Chopins kept. Chopin was of slight build, and even in early childhood was prone to illnesses.",
"Document 2: Frédéric Chopin: From September 1823 to 1826 Chopin attended the Warsaw Lyceum, where he received organ lessons from the Czech musician Wilhelm Würfel during his first year. In the autumn of 1826 he began a three-year course under the Silesian composer Józef Elsner at the Warsaw Conservatory, studying music theory, figured bass and composition.[n 3] Throughout this period he continued to compose and to give recitals in concerts and salons in Warsaw. He was engaged by the inventors of a mechanical organ, the \"eolomelodicon\", and on this instrument in May 1825 he performed his own improvisation and part of a concerto by Moscheles. The success of this concert led to an invitation to give a similar recital on the instrument before Tsar Alexander I, who was visiting Warsaw; the Tsar presented him with a diamond ring. At a subsequent eolomelodicon concert on 10 June 1825, Chopin performed his Rondo Op. 1. This was the first of his works to be commercially published and earned him his first mention in the foreign press, when the Leipzig Allgemeine Musikalische Zeitung praised his \"wealth of musical ideas\"."
],
"ground_truth": [
"1823 to 1826"
],
"name": "graph_construction",
"question": "During what years did Frédéric take lessons at the academy where Chopin's father once had a teaching position?",
"sub_queries": [
"Where did Chopin's father get a teaching position? Answer: Warsaw Lyceum",
"During what years did Frédéric visit Warsaw Lyceum for lessons? Answer: 1823 to 1826"
],
"supporting_context": [
"Frédéric Chopin: In October 1810, six months after Fryderyk's birth, the family moved to Warsaw, where his father acquired a post teaching French at the Warsaw Lyceum, then housed in the Saxon Palace. Fryderyk lived with his family in the Palace grounds. The father played the flute and violin; the mother played the piano and gave lessons to boys in the boarding house that the Chopins kept. Chopin was of slight build, and even in early childhood was prone to illnesses.",
"Frédéric Chopin: From September 1823 to 1826 Chopin attended the Warsaw Lyceum, where he received organ lessons from the Czech musician Wilhelm Würfel during his first year. In the autumn of 1826 he began a three-year course under the Silesian composer Józef Elsner at the Warsaw Conservatory, studying music theory, figured bass and composition.[n 3] Throughout this period he continued to compose and to give recitals in concerts and salons in Warsaw. He was engaged by the inventors of a mechanical organ, the \"eolomelodicon\", and on this instrument in May 1825 he performed his own improvisation and part of a concerto by Moscheles. The success of this concert led to an invitation to give a similar recital on the instrument before Tsar Alexander I, who was visiting Warsaw; the Tsar presented him with a diamond ring. At a subsequent eolomelodicon concert on 10 June 1825, Chopin performed his Rondo Op. 1. This was the first of his works to be commercially published and earned him his first mention in the foreign press, when the Leipzig Allgemeine Musikalische Zeitung praised his \"wealth of musical ideas\"."
]
},
"need_tools_kwargs": false,
"question": "During what years did Frédéric take lessons at the academy where Chopin's father once had a teaching position?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Cosima Wagner: Cosima Wagner (born Francesca Gaetana Cosima Liszt; 24 December 1837 – 1 April 1930) was the illegitimate daughter of the Hungarian pianist and composer Franz Liszt and Marie d'Agoult. She became the second wife of the German composer Richard Wagner, and with him founded the Bayreuth Festival as a showcase for his stage works; after his death she devoted the rest of her life to the promotion of his music and philosophy. Commentators have recognised Cosima as the principal inspiration for Wagner's later works, particularly \"Parsifal\".",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Cosima Wagner"
]
},
"style": "rule"
}
|
{
"index": "114",
"interaction_kwargs": {
"full_context": [
"Document 1: Cosima Wagner: Cosima Wagner (born Francesca Gaetana Cosima Liszt; 24 December 1837 – 1 April 1930) was the illegitimate daughter of the Hungarian pianist and composer Franz Liszt and Marie d'Agoult. She became the second wife of the German composer Richard Wagner, and with him founded the Bayreuth Festival as a showcase for his stage works; after his death she devoted the rest of her life to the promotion of his music and philosophy. Commentators have recognised Cosima as the principal inspiration for Wagner's later works, particularly \"Parsifal\".",
"Document 2: Frédéric Chopin: In 1836, at a party hosted by Marie d'Agoult, Chopin met the French author George Sand (born [Amantine] Aurore [Lucile] Dupin). Short (under five feet, or 152 cm), dark, big-eyed and a cigar smoker, she initially repelled Chopin, who remarked, \"What an unattractive person la Sand is. Is she really a woman?\" However, by early 1837 Maria Wodzińska's mother had made it clear to Chopin in correspondence that a marriage with her daughter was unlikely to proceed. It is thought that she was influenced by his poor health and possibly also by rumours about his associations with women such as d'Agoult and Sand. Chopin finally placed the letters from Maria and her mother in a package on which he wrote, in Polish, \"My tragedy\". Sand, in a letter to Grzymała of June 1838, admitted strong feelings for the composer and debated whether to abandon a current affair in order to begin a relationship with Chopin; she asked Grzymała to assess Chopin's relationship with Maria Wodzińska, without realising that the affair, at least from Maria's side, was over."
],
"ground_truth": [
"Cosima Wagner"
],
"name": "graph_construction",
"question": "Who mothered the hostess of the party where Chopin met George Sand?",
"sub_queries": [
"Who hosted the party whre Chopin met George Sand? Answer: Marie d'Agoult",
"Marie d'Agoult >> child Answer: Cosima Wagner"
],
"supporting_context": [
"Frédéric Chopin: In 1836, at a party hosted by Marie d'Agoult, Chopin met the French author George Sand (born [Amantine] Aurore [Lucile] Dupin). Short (under five feet, or 152 cm), dark, big-eyed and a cigar smoker, she initially repelled Chopin, who remarked, \"What an unattractive person la Sand is. Is she really a woman?\" However, by early 1837 Maria Wodzińska's mother had made it clear to Chopin in correspondence that a marriage with her daughter was unlikely to proceed. It is thought that she was influenced by his poor health and possibly also by rumours about his associations with women such as d'Agoult and Sand. Chopin finally placed the letters from Maria and her mother in a package on which he wrote, in Polish, \"My tragedy\". Sand, in a letter to Grzymała of June 1838, admitted strong feelings for the composer and debated whether to abandon a current affair in order to begin a relationship with Chopin; she asked Grzymała to assess Chopin's relationship with Maria Wodzińska, without realising that the affair, at least from Maria's side, was over.",
"Cosima Wagner: Cosima Wagner (born Francesca Gaetana Cosima Liszt; 24 December 1837 – 1 April 1930) was the illegitimate daughter of the Hungarian pianist and composer Franz Liszt and Marie d'Agoult. She became the second wife of the German composer Richard Wagner, and with him founded the Bayreuth Festival as a showcase for his stage works; after his death she devoted the rest of her life to the promotion of his music and philosophy. Commentators have recognised Cosima as the principal inspiration for Wagner's later works, particularly \"Parsifal\"."
]
},
"need_tools_kwargs": false,
"question": "Who mothered the hostess of the party where Chopin met George Sand?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: National Archives and Records Administration: Originally, each branch and agency of the U.S. government was responsible for maintaining its own documents, which often resulted in records loss and destruction. Congress established the National Archives Establishment in 1934 to centralize federal record keeping, with the Archivist of the United States as chief administrator. The National Archives was incorporated with GSA in 1949; in 1985 it became an independent agency as NARA (National Archives and Records Administration).",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1985"
]
},
"style": "rule"
}
|
{
"index": "115",
"interaction_kwargs": {
"full_context": [
"Document 1: National Archives and Records Administration: Originally, each branch and agency of the U.S. government was responsible for maintaining its own documents, which often resulted in records loss and destruction. Congress established the National Archives Establishment in 1934 to centralize federal record keeping, with the Archivist of the United States as chief administrator. The National Archives was incorporated with GSA in 1949; in 1985 it became an independent agency as NARA (National Archives and Records Administration).",
"Document 2: National Archives and Records Administration: NARA also maintains the Presidential Library system, a nationwide network of libraries for preserving and making available the documents of U.S. presidents since Herbert Hoover. The Presidential Libraries include:"
],
"ground_truth": [
"1985"
],
"name": "graph_construction",
"question": "In what year did the agency that maintains the Presidential Library system become independent?",
"sub_queries": [
"What agency maintains the Presidential Library system? Answer: NARA",
"In what year did NARA become an independent agency? Answer: 1985"
],
"supporting_context": [
"National Archives and Records Administration: NARA also maintains the Presidential Library system, a nationwide network of libraries for preserving and making available the documents of U.S. presidents since Herbert Hoover. The Presidential Libraries include:",
"National Archives and Records Administration: Originally, each branch and agency of the U.S. government was responsible for maintaining its own documents, which often resulted in records loss and destruction. Congress established the National Archives Establishment in 1934 to centralize federal record keeping, with the Archivist of the United States as chief administrator. The National Archives was incorporated with GSA in 1949; in 1985 it became an independent agency as NARA (National Archives and Records Administration)."
]
},
"need_tools_kwargs": false,
"question": "In what year did the agency that maintains the Presidential Library system become independent?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Daewoo: It was founded on 22 March 1967 as \"Daewoo Industrial\" and was declared bankrupt on 1 November 1999, with debts of about US$50 billion (equivalent to $ billion in ). Prior to the Asian financial crisis, Daewoo was the second largest conglomerate in Korea after the Hyundai Group. There were about 20 divisions under the Daewoo Group, some of which survive today as independent companies.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1999"
]
},
"style": "rule"
}
|
{
"index": "116",
"interaction_kwargs": {
"full_context": [
"Document 1: Daewoo: It was founded on 22 March 1967 as \"Daewoo Industrial\" and was declared bankrupt on 1 November 1999, with debts of about US$50 billion (equivalent to $ billion in ). Prior to the Asian financial crisis, Daewoo was the second largest conglomerate in Korea after the Hyundai Group. There were about 20 divisions under the Daewoo Group, some of which survive today as independent companies.",
"Document 2: Warsaw: The FSO Car Factory was established in 1951. A number of vehicles have been assembled there over the decades, including the Warszawa, Syrena, Fiat 125p (under license from Fiat, later renamed FSO 125p when the license expired) and the Polonez. The last two models listed were also sent abroad and assembled in a number of other countries, including Egypt and Colombia. In 1995 the factory was purchased by the South Korean car manufacturer Daewoo, which assembled the Tico, Espero, Nubia, Tacuma, Leganza, Lanos and Matiz there for the European market. In 2005 the factory was sold to AvtoZAZ, a Ukrainian car manufacturer which assembled there the Chevrolet Aveo. The license for the production of the Aveo expired in February 2011 and has since not been renewed. Currently the company is defunct."
],
"ground_truth": [
"1999"
],
"name": "graph_construction",
"question": "In what year did the South Korean car manufacturer that purchased the factor in 1995 dissolve?",
"sub_queries": [
"What South Korean car manufacturer purchased the factor in 1995? Answer: Daewoo",
"What year did Daewoo dissolve? Answer: 1999"
],
"supporting_context": [
"Warsaw: The FSO Car Factory was established in 1951. A number of vehicles have been assembled there over the decades, including the Warszawa, Syrena, Fiat 125p (under license from Fiat, later renamed FSO 125p when the license expired) and the Polonez. The last two models listed were also sent abroad and assembled in a number of other countries, including Egypt and Colombia. In 1995 the factory was purchased by the South Korean car manufacturer Daewoo, which assembled the Tico, Espero, Nubia, Tacuma, Leganza, Lanos and Matiz there for the European market. In 2005 the factory was sold to AvtoZAZ, a Ukrainian car manufacturer which assembled there the Chevrolet Aveo. The license for the production of the Aveo expired in February 2011 and has since not been renewed. Currently the company is defunct.",
"Daewoo: It was founded on 22 March 1967 as \"Daewoo Industrial\" and was declared bankrupt on 1 November 1999, with debts of about US$50 billion (equivalent to $ billion in ). Prior to the Asian financial crisis, Daewoo was the second largest conglomerate in Korea after the Hyundai Group. There were about 20 divisions under the Daewoo Group, some of which survive today as independent companies."
]
},
"need_tools_kwargs": false,
"question": "In what year did the South Korean car manufacturer that purchased the factor in 1995 dissolve?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: William Pereira: William Leonard Pereira (April 25, 1909 – November 13, 1985) was an American architect from Chicago, Illinois, who was noted for his futuristic designs of landmark buildings such as the Transamerica Pyramid in San Francisco. Remarkably prolific, he worked out of Los Angeles, and was known for his love of science fiction and expensive cars, but mostly for his unmistakable style of architecture, which helped define the look of mid-20th century America.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Transamerica Pyramid"
]
},
"style": "rule"
}
|
{
"index": "117",
"interaction_kwargs": {
"full_context": [
"Document 1: William Pereira: William Leonard Pereira (April 25, 1909 – November 13, 1985) was an American architect from Chicago, Illinois, who was noted for his futuristic designs of landmark buildings such as the Transamerica Pyramid in San Francisco. Remarkably prolific, he worked out of Los Angeles, and was known for his love of science fiction and expensive cars, but mostly for his unmistakable style of architecture, which helped define the look of mid-20th century America.",
"Document 2: Chet Holifield Federal Building: The Chet Holifield Federal Building, colloquially known as \"the Ziggurat Building\", is a United States government building at 24000 Avila Road in Laguna Niguel, California built between 1968 and 1971, originally for North American Aviation/Rockwell International, and designed by William Pereira. It is managed by the General Services Administration."
],
"ground_truth": [
"Transamerica Pyramid"
],
"name": "graph_construction",
"question": "What was a notable work of the Chet Holifield Federal Building designer?",
"sub_queries": [
"The designer for Chet Holifield Federal Building was? Answer: William Pereira",
"William Pereira >> notable work Answer: Transamerica Pyramid"
],
"supporting_context": [
"William Pereira: William Leonard Pereira (April 25, 1909 – November 13, 1985) was an American architect from Chicago, Illinois, who was noted for his futuristic designs of landmark buildings such as the Transamerica Pyramid in San Francisco. Remarkably prolific, he worked out of Los Angeles, and was known for his love of science fiction and expensive cars, but mostly for his unmistakable style of architecture, which helped define the look of mid-20th century America.",
"Chet Holifield Federal Building: The Chet Holifield Federal Building, colloquially known as \"the Ziggurat Building\", is a United States government building at 24000 Avila Road in Laguna Niguel, California built between 1968 and 1971, originally for North American Aviation/Rockwell International, and designed by William Pereira. It is managed by the General Services Administration."
]
},
"need_tools_kwargs": false,
"question": "What was a notable work of the Chet Holifield Federal Building designer?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Frédéric Chopin: In October 1810, six months after Fryderyk's birth, the family moved to Warsaw, where his father acquired a post teaching French at the Warsaw Lyceum, then housed in the Saxon Palace. Fryderyk lived with his family in the Palace grounds. The father played the flute and violin; the mother played the piano and gave lessons to boys in the boarding house that the Chopins kept. Chopin was of slight build, and even in early childhood was prone to illnesses.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Warsaw University"
]
},
"style": "rule"
}
|
{
"index": "118",
"interaction_kwargs": {
"full_context": [
"Document 1: Frédéric Chopin: In October 1810, six months after Fryderyk's birth, the family moved to Warsaw, where his father acquired a post teaching French at the Warsaw Lyceum, then housed in the Saxon Palace. Fryderyk lived with his family in the Palace grounds. The father played the flute and violin; the mother played the piano and gave lessons to boys in the boarding house that the Chopins kept. Chopin was of slight build, and even in early childhood was prone to illnesses.",
"Document 2: Frédéric Chopin: In 1817 the Saxon Palace was requisitioned by Warsaw's Russian governor for military use, and the Warsaw Lyceum was reestablished in the Kazimierz Palace (today the rectorate of Warsaw University). Fryderyk and his family moved to a building, which still survives, adjacent to the Kazimierz Palace. During this period, Fryderyk was sometimes invited to the Belweder Palace as playmate to the son of the ruler of Russian Poland, Grand Duke Constantine; he played the piano for the Duke and composed a march for him. Julian Ursyn Niemcewicz, in his dramatic eclogue, \"Nasze Przebiegi\" (\"Our Discourses\", 1818), attested to \"little Chopin's\" popularity."
],
"ground_truth": [
"Warsaw University"
],
"name": "graph_construction",
"question": "What establishment today contains what was known as the place Chopin's father got a teaching position during that time?",
"sub_queries": [
"Where did Chopin's father get a teaching position? Answer: Warsaw Lyceum",
"What establishment today contains what was known as Warsaw Lyceum during that time? Answer: Warsaw University"
],
"supporting_context": [
"Frédéric Chopin: In October 1810, six months after Fryderyk's birth, the family moved to Warsaw, where his father acquired a post teaching French at the Warsaw Lyceum, then housed in the Saxon Palace. Fryderyk lived with his family in the Palace grounds. The father played the flute and violin; the mother played the piano and gave lessons to boys in the boarding house that the Chopins kept. Chopin was of slight build, and even in early childhood was prone to illnesses.",
"Frédéric Chopin: In 1817 the Saxon Palace was requisitioned by Warsaw's Russian governor for military use, and the Warsaw Lyceum was reestablished in the Kazimierz Palace (today the rectorate of Warsaw University). Fryderyk and his family moved to a building, which still survives, adjacent to the Kazimierz Palace. During this period, Fryderyk was sometimes invited to the Belweder Palace as playmate to the son of the ruler of Russian Poland, Grand Duke Constantine; he played the piano for the Duke and composed a march for him. Julian Ursyn Niemcewicz, in his dramatic eclogue, \"Nasze Przebiegi\" (\"Our Discourses\", 1818), attested to \"little Chopin's\" popularity."
]
},
"need_tools_kwargs": false,
"question": "What establishment today contains what was known as the place Chopin's father got a teaching position during that time?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Gerónimo Berroa: After the season, he signed as a free agent with the Oakland Athletics, and had his best years with that team. Berroa's best season was 1996 when he hit 36 home runs with 106 RBIs for the Athletics. He spent the next three seasons with the Baltimore Orioles, Cleveland Indians, Detroit Tigers, Blue Jays, and Los Angeles Dodgers.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1993"
]
},
"style": "rule"
}
|
{
"index": "119",
"interaction_kwargs": {
"full_context": [
"Document 1: Gerónimo Berroa: After the season, he signed as a free agent with the Oakland Athletics, and had his best years with that team. Berroa's best season was 1996 when he hit 36 home runs with 106 RBIs for the Athletics. He spent the next three seasons with the Baltimore Orioles, Cleveland Indians, Detroit Tigers, Blue Jays, and Los Angeles Dodgers.",
"Document 2: Toronto Blue Jays: In the late 1970s and early 1980s, the Blue Jays went through struggles typical of an expansion team, frequently finishing in last place in its division. In 1983, the team had its first winning season and two years later, they became division champions. From 1985 to 1993, they were an AL East powerhouse, winning five division championships in nine seasons, including three consecutive from 1991 to 1993. During that run, the team also became back - to - back World Series champions in 1992 and 1993, led by a core group of award - winning All - Star players, including Hall of Famer Roberto Alomar, Joe Carter, John Olerud, and Devon White. The Blue Jays became the first (and, to date, only) team outside the US to appear in and win a World Series, and the fastest AL expansion team to do so, winning in its 16th year. After 1993, the Blue Jays failed to qualify for the playoffs for 21 consecutive seasons, until clinching a playoff berth and division championship in 2015. The team clinched a second consecutive playoff berth in 2016, after securing an AL wild card position. Both years, the Jays won the AL Division Series but lost the AL Championship Series."
],
"ground_truth": [
"1993"
],
"name": "graph_construction",
"question": "When did the sports team having Gerónimo Berroa win their last world series?",
"sub_queries": [
"Gerónimo Berroa >> member of sports team Answer: Blue Jays",
"when did Blue Jays win their last world series Answer: 1993"
],
"supporting_context": [
"Gerónimo Berroa: After the season, he signed as a free agent with the Oakland Athletics, and had his best years with that team. Berroa's best season was 1996 when he hit 36 home runs with 106 RBIs for the Athletics. He spent the next three seasons with the Baltimore Orioles, Cleveland Indians, Detroit Tigers, Blue Jays, and Los Angeles Dodgers.",
"Toronto Blue Jays: In the late 1970s and early 1980s, the Blue Jays went through struggles typical of an expansion team, frequently finishing in last place in its division. In 1983, the team had its first winning season and two years later, they became division champions. From 1985 to 1993, they were an AL East powerhouse, winning five division championships in nine seasons, including three consecutive from 1991 to 1993. During that run, the team also became back - to - back World Series champions in 1992 and 1993, led by a core group of award - winning All - Star players, including Hall of Famer Roberto Alomar, Joe Carter, John Olerud, and Devon White. The Blue Jays became the first (and, to date, only) team outside the US to appear in and win a World Series, and the fastest AL expansion team to do so, winning in its 16th year. After 1993, the Blue Jays failed to qualify for the playoffs for 21 consecutive seasons, until clinching a playoff berth and division championship in 2015. The team clinched a second consecutive playoff berth in 2016, after securing an AL wild card position. Both years, the Jays won the AL Division Series but lost the AL Championship Series."
]
},
"need_tools_kwargs": false,
"question": "When did the sports team having Gerónimo Berroa win their last world series?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Toronto Blue Jays: In the late 1970s and early 1980s, the Blue Jays went through struggles typical of an expansion team, frequently finishing in last place in its division. In 1983, the team had its first winning season and two years later, they became division champions. From 1985 to 1993, they were an AL East powerhouse, winning five division championships in nine seasons, including three consecutive from 1991 to 1993. During that run, the team also became back - to - back World Series champions in 1992 and 1993, led by a core group of award - winning All - Star players, including Hall of Famer Roberto Alomar, Joe Carter, John Olerud, and Devon White. The Blue Jays became the first (and, to date, only) team outside the US to appear in and win a World Series, and the fastest AL expansion team to do so, winning in its 16th year. After 1993, the Blue Jays failed to qualify for the playoffs for 21 consecutive seasons, until clinching a playoff berth and division championship in 2015. The team clinched a second consecutive playoff berth in 2016, after securing an AL wild card position. Both years, the Jays won the AL Division Series but lost the AL Championship Series.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1993"
]
},
"style": "rule"
}
|
{
"index": "120",
"interaction_kwargs": {
"full_context": [
"Document 1: Toronto Blue Jays: In the late 1970s and early 1980s, the Blue Jays went through struggles typical of an expansion team, frequently finishing in last place in its division. In 1983, the team had its first winning season and two years later, they became division champions. From 1985 to 1993, they were an AL East powerhouse, winning five division championships in nine seasons, including three consecutive from 1991 to 1993. During that run, the team also became back - to - back World Series champions in 1992 and 1993, led by a core group of award - winning All - Star players, including Hall of Famer Roberto Alomar, Joe Carter, John Olerud, and Devon White. The Blue Jays became the first (and, to date, only) team outside the US to appear in and win a World Series, and the fastest AL expansion team to do so, winning in its 16th year. After 1993, the Blue Jays failed to qualify for the playoffs for 21 consecutive seasons, until clinching a playoff berth and division championship in 2015. The team clinched a second consecutive playoff berth in 2016, after securing an AL wild card position. Both years, the Jays won the AL Division Series but lost the AL Championship Series.",
"Document 2: Junior Félix: On May 4, 1989, Félix hit the first pitch he saw in the big leagues for a home run off Kirk McCaskill, but his Blue Jays lost 3–2 in 10 innings. He was the 27th American League player ever to homer in his first major league at-bat, and the 10th to do so on the first pitch."
],
"ground_truth": [
"1993"
],
"name": "graph_construction",
"question": "When did the sports team that Junior Félix played for win their last World Series?",
"sub_queries": [
"Junior Félix >> member of sports team Answer: Blue Jays",
"when did Blue Jays win their last world series Answer: 1993"
],
"supporting_context": [
"Toronto Blue Jays: In the late 1970s and early 1980s, the Blue Jays went through struggles typical of an expansion team, frequently finishing in last place in its division. In 1983, the team had its first winning season and two years later, they became division champions. From 1985 to 1993, they were an AL East powerhouse, winning five division championships in nine seasons, including three consecutive from 1991 to 1993. During that run, the team also became back - to - back World Series champions in 1992 and 1993, led by a core group of award - winning All - Star players, including Hall of Famer Roberto Alomar, Joe Carter, John Olerud, and Devon White. The Blue Jays became the first (and, to date, only) team outside the US to appear in and win a World Series, and the fastest AL expansion team to do so, winning in its 16th year. After 1993, the Blue Jays failed to qualify for the playoffs for 21 consecutive seasons, until clinching a playoff berth and division championship in 2015. The team clinched a second consecutive playoff berth in 2016, after securing an AL wild card position. Both years, the Jays won the AL Division Series but lost the AL Championship Series.",
"Junior Félix: On May 4, 1989, Félix hit the first pitch he saw in the big leagues for a home run off Kirk McCaskill, but his Blue Jays lost 3–2 in 10 innings. He was the 27th American League player ever to homer in his first major league at-bat, and the 10th to do so on the first pitch."
]
},
"need_tools_kwargs": false,
"question": "When did the sports team that Junior Félix played for win their last World Series?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Democratic-Republican Party: The party was strongest in the South and weakest in the Northeast. It demanded states' rights as expressed by the ``Principles of 1798 ''articulated in the Kentucky and Virginia Resolutions that would allow states to nullify a federal law. Above all, the party stood for the primacy of the yeoman farmers. Republicans were deeply committed to the principles of republicanism, which they feared were threatened by the supposed monarchical tendencies of the Hamiltonian Federalists. The party came to power in 1801 with the election of Jefferson in the 1800 presidential election. The Federalists -- too elitist to appeal to most people -- faded away and totally collapsed after 1815. Despite internal divisions, the Republicans dominated the First Party System until partisanship itself withered away during the Era of Good Feelings after 1816.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Jefferson"
]
},
"style": "rule"
}
|
{
"index": "121",
"interaction_kwargs": {
"full_context": [
"Document 1: Democratic-Republican Party: The party was strongest in the South and weakest in the Northeast. It demanded states' rights as expressed by the ``Principles of 1798 ''articulated in the Kentucky and Virginia Resolutions that would allow states to nullify a federal law. Above all, the party stood for the primacy of the yeoman farmers. Republicans were deeply committed to the principles of republicanism, which they feared were threatened by the supposed monarchical tendencies of the Hamiltonian Federalists. The party came to power in 1801 with the election of Jefferson in the 1800 presidential election. The Federalists -- too elitist to appeal to most people -- faded away and totally collapsed after 1815. Despite internal divisions, the Republicans dominated the First Party System until partisanship itself withered away during the Era of Good Feelings after 1816.",
"Document 2: Jeremiah Morrow: Jeremiah Morrow (October 6, 1771March 22, 1852) was a Democratic-Republican Party politician from Ohio. He served as the ninth Governor of Ohio, and the last Democratic-Republican to do so."
],
"ground_truth": [
"Jefferson"
],
"name": "graph_construction",
"question": "Who was the first president from the newly evolved political party Jeremiah Morrow was a member of?",
"sub_queries": [
"Jeremiah Morrow >> member of political party Answer: Democratic-Republican Party",
"who was the first president from the newly evolved Democratic-Republican Party Answer: Jefferson"
],
"supporting_context": [
"Jeremiah Morrow: Jeremiah Morrow (October 6, 1771March 22, 1852) was a Democratic-Republican Party politician from Ohio. He served as the ninth Governor of Ohio, and the last Democratic-Republican to do so.",
"Democratic-Republican Party: The party was strongest in the South and weakest in the Northeast. It demanded states' rights as expressed by the ``Principles of 1798 ''articulated in the Kentucky and Virginia Resolutions that would allow states to nullify a federal law. Above all, the party stood for the primacy of the yeoman farmers. Republicans were deeply committed to the principles of republicanism, which they feared were threatened by the supposed monarchical tendencies of the Hamiltonian Federalists. The party came to power in 1801 with the election of Jefferson in the 1800 presidential election. The Federalists -- too elitist to appeal to most people -- faded away and totally collapsed after 1815. Despite internal divisions, the Republicans dominated the First Party System until partisanship itself withered away during the Era of Good Feelings after 1816."
]
},
"need_tools_kwargs": false,
"question": "Who was the first president from the newly evolved political party Jeremiah Morrow was a member of?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Tim Christensen: Tim Christensen (born 2 July 1974 in Copenhagen) is a Danish singer-songwriter and multi-instrumentalist. He is both the singer, guitarist and songwriter of the Danish band Dizzy Mizz Lizzy (1988–1998, 2010, 2014–current) and a solo artists who has to date released four studio albums, two EPs and two live DVDs.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Copenhagen"
]
},
"style": "rule"
}
|
{
"index": "122",
"interaction_kwargs": {
"full_context": [
"Document 1: Tim Christensen: Tim Christensen (born 2 July 1974 in Copenhagen) is a Danish singer-songwriter and multi-instrumentalist. He is both the singer, guitarist and songwriter of the Danish band Dizzy Mizz Lizzy (1988–1998, 2010, 2014–current) and a solo artists who has to date released four studio albums, two EPs and two live DVDs.",
"Document 2: Honeyburst: Honeyburst is the second studio album by Danish singer-songwriter Tim Christensen, released on 1 September 2003 on CD and vinyl. The vinyl edition of the album was re-released through the record label Parlophone on April 19, 2014."
],
"ground_truth": [
"Copenhagen"
],
"name": "graph_construction",
"question": "Where was the artist of Honeyburst born?",
"sub_queries": [
"Who recorded Honeyburst? Answer: Tim Christensen",
"Tim Christensen >> place of birth Answer: Copenhagen"
],
"supporting_context": [
"Honeyburst: Honeyburst is the second studio album by Danish singer-songwriter Tim Christensen, released on 1 September 2003 on CD and vinyl. The vinyl edition of the album was re-released through the record label Parlophone on April 19, 2014.",
"Tim Christensen: Tim Christensen (born 2 July 1974 in Copenhagen) is a Danish singer-songwriter and multi-instrumentalist. He is both the singer, guitarist and songwriter of the Danish band Dizzy Mizz Lizzy (1988–1998, 2010, 2014–current) and a solo artists who has to date released four studio albums, two EPs and two live DVDs."
]
},
"need_tools_kwargs": false,
"question": "Where was the artist of Honeyburst born?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Bosko's Knight-Mare: Bosko's Knight-Mare is a 1933 \"Looney Tunes\" animated short film. The film was directed by Hugh Harman. The film score was composed by Frank Marsales.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Warner Bros."
]
},
"style": "rule"
}
|
{
"index": "123",
"interaction_kwargs": {
"full_context": [
"Document 1: Bosko's Knight-Mare: Bosko's Knight-Mare is a 1933 \"Looney Tunes\" animated short film. The film was directed by Hugh Harman. The film score was composed by Frank Marsales.",
"Document 2: Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters."
],
"ground_truth": [
"Warner Bros."
],
"name": "graph_construction",
"question": "Who published the work that Bosko is present in?",
"sub_queries": [
"Bosko >> present in work Answer: Looney Tunes",
"Who published Looney Tunes ? Answer: Warner Bros."
],
"supporting_context": [
"Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters.",
"Bosko's Knight-Mare: Bosko's Knight-Mare is a 1933 \"Looney Tunes\" animated short film. The film was directed by Hugh Harman. The film score was composed by Frank Marsales."
]
},
"need_tools_kwargs": false,
"question": "Who published the work that Bosko is present in?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Warner Bros."
]
},
"style": "rule"
}
|
{
"index": "124",
"interaction_kwargs": {
"full_context": [
"Document 1: Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters.",
"Document 2: Gopher Broke: Gopher Broke is a \"Looney Tunes\" cartoon animated short starring the Goofy Gophers and the Barnyard Dawg (in the last of four appearances without Foghorn Leghorn). Released November 15, 1958, the cartoon is directed by Robert McKimson. The voices are performed by Mel Blanc and Stan Freberg. The title is a pun on the phrase \"\"Go for Broke\"\"."
],
"ground_truth": [
"Warner Bros."
],
"name": "graph_construction",
"question": "What company published the cartoon that included Barnyard Dawg?",
"sub_queries": [
"Barnyard Dawg >> present in work Answer: Looney Tunes",
"Who published Looney Tunes ? Answer: Warner Bros."
],
"supporting_context": [
"Gopher Broke: Gopher Broke is a \"Looney Tunes\" cartoon animated short starring the Goofy Gophers and the Barnyard Dawg (in the last of four appearances without Foghorn Leghorn). Released November 15, 1958, the cartoon is directed by Robert McKimson. The voices are performed by Mel Blanc and Stan Freberg. The title is a pun on the phrase \"\"Go for Broke\"\".",
"Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters."
]
},
"need_tools_kwargs": false,
"question": "What company published the cartoon that included Barnyard Dawg?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Warner Bros."
]
},
"style": "rule"
}
|
{
"index": "125",
"interaction_kwargs": {
"full_context": [
"Document 1: Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters.",
"Document 2: A-Haunting We Will Go (1966 film): A-Haunting We Will Go is a 1966 theatrical \"Looney Tunes\" cartoon that was directed by Robert McKimson. As with the other Witch Hazel cartoons, June Foray voices Witch Hazel while Mel Blanc voices Speedy Gonzales, Daffy Duck, and Daffy's nephew."
],
"ground_truth": [
"Warner Bros."
],
"name": "graph_construction",
"question": "Who produced the series A-Haunting We Will Go was part of?",
"sub_queries": [
"A-Haunting We Will Go >> part of the series Answer: Looney Tunes",
"Who published Looney Tunes ? Answer: Warner Bros."
],
"supporting_context": [
"Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters.",
"A-Haunting We Will Go (1966 film): A-Haunting We Will Go is a 1966 theatrical \"Looney Tunes\" cartoon that was directed by Robert McKimson. As with the other Witch Hazel cartoons, June Foray voices Witch Hazel while Mel Blanc voices Speedy Gonzales, Daffy Duck, and Daffy's nephew."
]
},
"need_tools_kwargs": false,
"question": "Who produced the series A-Haunting We Will Go was part of?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Renzo Zorzi: Renzo Zorzi (12 December 1946, Ziano di Fiemme – 15 May 2015, Magenta, Lombardy) was a racing driver from Italy who participated in 7 Formula One Grands Prix between 1975 and 1977.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"comune"
]
},
"style": "rule"
}
|
{
"index": "126",
"interaction_kwargs": {
"full_context": [
"Document 1: Renzo Zorzi: Renzo Zorzi (12 December 1946, Ziano di Fiemme – 15 May 2015, Magenta, Lombardy) was a racing driver from Italy who participated in 7 Formula One Grands Prix between 1975 and 1977.",
"Document 2: Magenta, Lombardy: Magenta (, ) is a town and \"comune\" in the province of Milan in Lombardy, northern Italy. It is notable as the site of the Battle of Magenta. The color magenta is named after the battle, most likely referring to the uniforms used by Zouave French troops. Magenta is the birthplace of St. Gianna Beretta Molla."
],
"ground_truth": [
"comune"
],
"name": "graph_construction",
"question": "The town where Renzo Zorzi died is an instance of what?",
"sub_queries": [
"At what location did Renzo Zorzi die? Answer: Magenta",
"Magenta >> instance of Answer: comune"
],
"supporting_context": [
"Renzo Zorzi: Renzo Zorzi (12 December 1946, Ziano di Fiemme – 15 May 2015, Magenta, Lombardy) was a racing driver from Italy who participated in 7 Formula One Grands Prix between 1975 and 1977.",
"Magenta, Lombardy: Magenta (, ) is a town and \"comune\" in the province of Milan in Lombardy, northern Italy. It is notable as the site of the Battle of Magenta. The color magenta is named after the battle, most likely referring to the uniforms used by Zouave French troops. Magenta is the birthplace of St. Gianna Beretta Molla."
]
},
"need_tools_kwargs": false,
"question": "The town where Renzo Zorzi died is an instance of what?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Warner Bros."
]
},
"style": "rule"
}
|
{
"index": "127",
"interaction_kwargs": {
"full_context": [
"Document 1: Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters.",
"Document 2: Acme Animation Factory: The game is compatible with the Super NES Mouse in addition to the gamepad. The player is given a series of tools to create their own animated cartoons, using the Looney Tunes characters. The player can alter the graphics, music, and animation. When the cartoon has been created, it can be saved and replayed. Aside from that, card games such as \"Solitaire\" and \"Mix 'n' Match\" (a variation of the game \"Concentration\") are playable."
],
"ground_truth": [
"Warner Bros."
],
"name": "graph_construction",
"question": "Who produced the series Acme Animation Factory is part of?",
"sub_queries": [
"What series is Acme Animation Factory part of? Answer: Looney Tunes",
"Who published Looney Tunes ? Answer: Warner Bros."
],
"supporting_context": [
"Acme Animation Factory: The game is compatible with the Super NES Mouse in addition to the gamepad. The player is given a series of tools to create their own animated cartoons, using the Looney Tunes characters. The player can alter the graphics, music, and animation. When the cartoon has been created, it can be saved and replayed. Aside from that, card games such as \"Solitaire\" and \"Mix 'n' Match\" (a variation of the game \"Concentration\") are playable.",
"Looney Tunes: Looney Tunes is an American series of animated comedy short films produced by Warner Bros. from 1930 to 1969 during the golden age of American animation alongside its sister series \"Merrie Melodies\". It was known for introducing Bugs Bunny, Daffy Duck, Porky Pig, Elmer Fudd, Tweety, Sylvester, Granny, Yosemite Sam, Foghorn Leghorn, Marvin the Martian, Pepé Le Pew, Speedy Gonzales, Tasmanian Devil, Road Runner, Wile E. Coyote and many other cartoon characters."
]
},
"need_tools_kwargs": false,
"question": "Who produced the series Acme Animation Factory is part of?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Inside Out (2015 film): In late 2009, Docter noticed his pre-teen daughter, Elie, exhibiting similar shyness. \"She started getting more quiet and reserved, and that, frankly, triggered a lot of my own insecurities and fears,\" he said. He imagined what happens in the human mind when emotions set in. The idea to depict it through animation excited Docter, who felt it the ideal form to portray \"strong, opinionated, caricatured personalities\". He began researching information about the mind, alongside Jonas Rivera, a producer, and Ronnie del Carmen, a secondary director. They consulted Paul Ekman, a well-known psychologist who studies emotions, and Dacher Keltner, a professor of psychology at the University of California, Berkeley. Ekman had early in his career identified six core emotions—anger, fear, sadness, disgust, joy, and surprise. Docter found surprise and fear to be too similar, which left him with five emotions to build characters around. Other emotions considered for inclusion during the development process were schadenfreude, ennui, pride, and hope. Keltner focused on sadness being an emotion that strengthens relationships. Both emphasized how emotions organize social lives and the structuring of interpersonal interactions.The smash success of Docter's 2009 film Up encouraged those at Pixar to allow Docter to create another film with a more sophisticated story. Inside Out is the first Pixar film without input from co-founder and former Apple CEO Steve Jobs, who died in 2011. In addition, the film did not have as much input from chief creative officer John Lasseter, who was focused on restructuring Walt Disney Animation Studios in Burbank at the time of its production. Executives at Disney and Pixar were positive at the proposal of making Inside Out, but acknowledged it would be difficult to market.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2011"
]
},
"style": "rule"
}
|
{
"index": "128",
"interaction_kwargs": {
"full_context": [
"Document 1: Inside Out (2015 film): In late 2009, Docter noticed his pre-teen daughter, Elie, exhibiting similar shyness. \"She started getting more quiet and reserved, and that, frankly, triggered a lot of my own insecurities and fears,\" he said. He imagined what happens in the human mind when emotions set in. The idea to depict it through animation excited Docter, who felt it the ideal form to portray \"strong, opinionated, caricatured personalities\". He began researching information about the mind, alongside Jonas Rivera, a producer, and Ronnie del Carmen, a secondary director. They consulted Paul Ekman, a well-known psychologist who studies emotions, and Dacher Keltner, a professor of psychology at the University of California, Berkeley. Ekman had early in his career identified six core emotions—anger, fear, sadness, disgust, joy, and surprise. Docter found surprise and fear to be too similar, which left him with five emotions to build characters around. Other emotions considered for inclusion during the development process were schadenfreude, ennui, pride, and hope. Keltner focused on sadness being an emotion that strengthens relationships. Both emphasized how emotions organize social lives and the structuring of interpersonal interactions.The smash success of Docter's 2009 film Up encouraged those at Pixar to allow Docter to create another film with a more sophisticated story. Inside Out is the first Pixar film without input from co-founder and former Apple CEO Steve Jobs, who died in 2011. In addition, the film did not have as much input from chief creative officer John Lasseter, who was focused on restructuring Walt Disney Animation Studios in Burbank at the time of its production. Executives at Disney and Pixar were positive at the proposal of making Inside Out, but acknowledged it would be difficult to market.",
"Document 2: IPod: Apple did not develop the iPod software entirely in-house, instead using PortalPlayer's reference platform based on two ARM cores. The platform had rudimentary software running on a commercial microkernel embedded operating system. PortalPlayer had previously been working on an IBM-branded MP3 player with Bluetooth headphones. Apple contracted another company, Pixo, to help design and implement the user interface under the direct supervision of Steve Jobs. As development progressed, Apple continued to refine the software's look and feel. Starting with the iPod Mini, the Chicago font was replaced with Espy Sans. Later iPods switched fonts again to Podium Sans—a font similar to Apple's corporate font, Myriad. iPods with color displays then adopted some Mac OS X themes like Aqua progress bars, and brushed metal meant to evoke a combination lock. In 2007, Apple modified the iPod interface again with the introduction of the sixth-generation iPod Classic and third-generation iPod Nano by changing the font to Helvetica and, in most cases, splitting the screen in half by displaying the menus on the left and album artwork, photos, or videos on the right (whichever was appropriate for the selected item)."
],
"ground_truth": [
"2011"
],
"name": "graph_construction",
"question": "When did person who supervised the design and implementation of the iPod user interface die?",
"sub_queries": [
"Who supervised the design and implementation of the iPod user interface? Answer: Steve Jobs",
"When did Steve Jobs die? Answer: 2011"
],
"supporting_context": [
"IPod: Apple did not develop the iPod software entirely in-house, instead using PortalPlayer's reference platform based on two ARM cores. The platform had rudimentary software running on a commercial microkernel embedded operating system. PortalPlayer had previously been working on an IBM-branded MP3 player with Bluetooth headphones. Apple contracted another company, Pixo, to help design and implement the user interface under the direct supervision of Steve Jobs. As development progressed, Apple continued to refine the software's look and feel. Starting with the iPod Mini, the Chicago font was replaced with Espy Sans. Later iPods switched fonts again to Podium Sans—a font similar to Apple's corporate font, Myriad. iPods with color displays then adopted some Mac OS X themes like Aqua progress bars, and brushed metal meant to evoke a combination lock. In 2007, Apple modified the iPod interface again with the introduction of the sixth-generation iPod Classic and third-generation iPod Nano by changing the font to Helvetica and, in most cases, splitting the screen in half by displaying the menus on the left and album artwork, photos, or videos on the right (whichever was appropriate for the selected item).",
"Inside Out (2015 film): In late 2009, Docter noticed his pre-teen daughter, Elie, exhibiting similar shyness. \"She started getting more quiet and reserved, and that, frankly, triggered a lot of my own insecurities and fears,\" he said. He imagined what happens in the human mind when emotions set in. The idea to depict it through animation excited Docter, who felt it the ideal form to portray \"strong, opinionated, caricatured personalities\". He began researching information about the mind, alongside Jonas Rivera, a producer, and Ronnie del Carmen, a secondary director. They consulted Paul Ekman, a well-known psychologist who studies emotions, and Dacher Keltner, a professor of psychology at the University of California, Berkeley. Ekman had early in his career identified six core emotions—anger, fear, sadness, disgust, joy, and surprise. Docter found surprise and fear to be too similar, which left him with five emotions to build characters around. Other emotions considered for inclusion during the development process were schadenfreude, ennui, pride, and hope. Keltner focused on sadness being an emotion that strengthens relationships. Both emphasized how emotions organize social lives and the structuring of interpersonal interactions.The smash success of Docter's 2009 film Up encouraged those at Pixar to allow Docter to create another film with a more sophisticated story. Inside Out is the first Pixar film without input from co-founder and former Apple CEO Steve Jobs, who died in 2011. In addition, the film did not have as much input from chief creative officer John Lasseter, who was focused on restructuring Walt Disney Animation Studios in Burbank at the time of its production. Executives at Disney and Pixar were positive at the proposal of making Inside Out, but acknowledged it would be difficult to market."
]
},
"need_tools_kwargs": false,
"question": "When did person who supervised the design and implementation of the iPod user interface die?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: With Malice towards One and All: \"With Malice towards One and All\" was the weekly column series published by celebrated Indian author and journalist Khushwant Singh in the leading English language dailes of India, occupying two full length columns on the editorial page of the Saturday edition.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"English language"
]
},
"style": "rule"
}
|
{
"index": "129",
"interaction_kwargs": {
"full_context": [
"Document 1: With Malice towards One and All: \"With Malice towards One and All\" was the weekly column series published by celebrated Indian author and journalist Khushwant Singh in the leading English language dailes of India, occupying two full length columns on the editorial page of the Saturday edition.",
"Document 2: Train to Pakistan: Train To Pakistan is a historical novel by Khushwant Singh, published in 1956. It recounts the Partition of India in August 1947. Instead of depicting the Partition in terms of only the political events surrounding it, Singh digs into a deep local focus, providing a human dimension which brings to the event a sense of reality, horror, and believability."
],
"ground_truth": [
"English language"
],
"name": "graph_construction",
"question": "What language was used by the author of Train to Pakistan?",
"sub_queries": [
"who is the author of train to pakistan Answer: Khushwant Singh",
"Khushwant Singh >> languages spoken, written or signed Answer: English language"
],
"supporting_context": [
"With Malice towards One and All: \"With Malice towards One and All\" was the weekly column series published by celebrated Indian author and journalist Khushwant Singh in the leading English language dailes of India, occupying two full length columns on the editorial page of the Saturday edition.",
"Train to Pakistan: Train To Pakistan is a historical novel by Khushwant Singh, published in 1956. It recounts the Partition of India in August 1947. Instead of depicting the Partition in terms of only the political events surrounding it, Singh digs into a deep local focus, providing a human dimension which brings to the event a sense of reality, horror, and believability."
]
},
"need_tools_kwargs": false,
"question": "What language was used by the author of Train to Pakistan?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Dearborn Heights, Michigan: Dearborn Heights is a city in Wayne County, in the Detroit metropolitan area, in the State of Michigan. The population was 57,774 at the 2010 census.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Wayne County"
]
},
"style": "rule"
}
|
{
"index": "130",
"interaction_kwargs": {
"full_context": [
"Document 1: Dearborn Heights, Michigan: Dearborn Heights is a city in Wayne County, in the Detroit metropolitan area, in the State of Michigan. The population was 57,774 at the 2010 census.",
"Document 2: WNZK: WNZK is a radio station in Dearborn Heights, Michigan, United States. It began broadcasting October 12, 1985. It broadcasts in the AM radio band at 690 kHz during the daytime and at 680 kHz at night. This is to protect the nighttime pattern of Montreal, Quebec's CKGM, a clear-channel station on 690. WNZK is the only North American AM station to broadcast on two frequencies, at least according to the FCC online database."
],
"ground_truth": [
"Wayne County"
],
"name": "graph_construction",
"question": "The city where WNZK is located is in what county?",
"sub_queries": [
"What city is WNZK located? Answer: Dearborn Heights",
"Dearborn Heights >> located in the administrative territorial entity Answer: Wayne County"
],
"supporting_context": [
"WNZK: WNZK is a radio station in Dearborn Heights, Michigan, United States. It began broadcasting October 12, 1985. It broadcasts in the AM radio band at 690 kHz during the daytime and at 680 kHz at night. This is to protect the nighttime pattern of Montreal, Quebec's CKGM, a clear-channel station on 690. WNZK is the only North American AM station to broadcast on two frequencies, at least according to the FCC online database.",
"Dearborn Heights, Michigan: Dearborn Heights is a city in Wayne County, in the Detroit metropolitan area, in the State of Michigan. The population was 57,774 at the 2010 census."
]
},
"need_tools_kwargs": false,
"question": "The city where WNZK is located is in what county?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: The Householder (novel): The Householder is a 1960 English language novel by Ruth Prawer Jhabvala. It is about a young man named Prem who has recently moved from the first stage of his life, a student, to the second stage of his life, a householder. The book is a bildungsroman, which is a story where the protagonist develops mind and character as he passes from childhood (innocence) through various experiences usually through a spiritual crisis into maturity.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"English language"
]
},
"style": "rule"
}
|
{
"index": "131",
"interaction_kwargs": {
"full_context": [
"Document 1: The Householder (novel): The Householder is a 1960 English language novel by Ruth Prawer Jhabvala. It is about a young man named Prem who has recently moved from the first stage of his life, a student, to the second stage of his life, a householder. The book is a bildungsroman, which is a story where the protagonist develops mind and character as he passes from childhood (innocence) through various experiences usually through a spiritual crisis into maturity.",
"Document 2: Renana Jhabvala: Renana Jhabvala was born in Delhi to the Booker Prize winning novelist and screen-writer, Ruth Prawer Jhabvala, and well-known architect Cyrus S. H. Jhabvala. Her grandparents were active in public life during the early to mid part of the twentieth century. Her grandfather, Shavaksha Jhabvala, was active in the early Indian trade union movement, and her grandmother, Mehraben Jhabvala, in the emerging women's movement. In a February 2012 talk given at the India International Centre (Delhi), Renana spoke about the work of Mehraben, who was a dedicated organiser and advocate of women and the President of the All-India Women's Conference from 1965–68."
],
"ground_truth": [
"English language"
],
"name": "graph_construction",
"question": "What language was used by Renana Jhabvala's mother?",
"sub_queries": [
"Who was Renana Jhabvala's mother? Answer: Ruth Prawer Jhabvala",
"Ruth Prawer Jhabvala >> languages spoken, written or signed Answer: English language"
],
"supporting_context": [
"The Householder (novel): The Householder is a 1960 English language novel by Ruth Prawer Jhabvala. It is about a young man named Prem who has recently moved from the first stage of his life, a student, to the second stage of his life, a householder. The book is a bildungsroman, which is a story where the protagonist develops mind and character as he passes from childhood (innocence) through various experiences usually through a spiritual crisis into maturity.",
"Renana Jhabvala: Renana Jhabvala was born in Delhi to the Booker Prize winning novelist and screen-writer, Ruth Prawer Jhabvala, and well-known architect Cyrus S. H. Jhabvala. Her grandparents were active in public life during the early to mid part of the twentieth century. Her grandfather, Shavaksha Jhabvala, was active in the early Indian trade union movement, and her grandmother, Mehraben Jhabvala, in the emerging women's movement. In a February 2012 talk given at the India International Centre (Delhi), Renana spoke about the work of Mehraben, who was a dedicated organiser and advocate of women and the President of the All-India Women's Conference from 1965–68."
]
},
"need_tools_kwargs": false,
"question": "What language was used by Renana Jhabvala's mother?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Inside Out (2015 film): In late 2009, Docter noticed his pre-teen daughter, Elie, exhibiting similar shyness. \"She started getting more quiet and reserved, and that, frankly, triggered a lot of my own insecurities and fears,\" he said. He imagined what happens in the human mind when emotions set in. The idea to depict it through animation excited Docter, who felt it the ideal form to portray \"strong, opinionated, caricatured personalities\". He began researching information about the mind, alongside Jonas Rivera, a producer, and Ronnie del Carmen, a secondary director. They consulted Paul Ekman, a well-known psychologist who studies emotions, and Dacher Keltner, a professor of psychology at the University of California, Berkeley. Ekman had early in his career identified six core emotions—anger, fear, sadness, disgust, joy, and surprise. Docter found surprise and fear to be too similar, which left him with five emotions to build characters around. Other emotions considered for inclusion during the development process were schadenfreude, ennui, pride, and hope. Keltner focused on sadness being an emotion that strengthens relationships. Both emphasized how emotions organize social lives and the structuring of interpersonal interactions.The smash success of Docter's 2009 film Up encouraged those at Pixar to allow Docter to create another film with a more sophisticated story. Inside Out is the first Pixar film without input from co-founder and former Apple CEO Steve Jobs, who died in 2011. In addition, the film did not have as much input from chief creative officer John Lasseter, who was focused on restructuring Walt Disney Animation Studios in Burbank at the time of its production. Executives at Disney and Pixar were positive at the proposal of making Inside Out, but acknowledged it would be difficult to market.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2011"
]
},
"style": "rule"
}
|
{
"index": "132",
"interaction_kwargs": {
"full_context": [
"Document 1: Inside Out (2015 film): In late 2009, Docter noticed his pre-teen daughter, Elie, exhibiting similar shyness. \"She started getting more quiet and reserved, and that, frankly, triggered a lot of my own insecurities and fears,\" he said. He imagined what happens in the human mind when emotions set in. The idea to depict it through animation excited Docter, who felt it the ideal form to portray \"strong, opinionated, caricatured personalities\". He began researching information about the mind, alongside Jonas Rivera, a producer, and Ronnie del Carmen, a secondary director. They consulted Paul Ekman, a well-known psychologist who studies emotions, and Dacher Keltner, a professor of psychology at the University of California, Berkeley. Ekman had early in his career identified six core emotions—anger, fear, sadness, disgust, joy, and surprise. Docter found surprise and fear to be too similar, which left him with five emotions to build characters around. Other emotions considered for inclusion during the development process were schadenfreude, ennui, pride, and hope. Keltner focused on sadness being an emotion that strengthens relationships. Both emphasized how emotions organize social lives and the structuring of interpersonal interactions.The smash success of Docter's 2009 film Up encouraged those at Pixar to allow Docter to create another film with a more sophisticated story. Inside Out is the first Pixar film without input from co-founder and former Apple CEO Steve Jobs, who died in 2011. In addition, the film did not have as much input from chief creative officer John Lasseter, who was focused on restructuring Walt Disney Animation Studios in Burbank at the time of its production. Executives at Disney and Pixar were positive at the proposal of making Inside Out, but acknowledged it would be difficult to market.",
"Document 2: Macintosh: In early 2001, Apple began shipping computers with CD-RW drives and emphasized the Mac's ability to play DVDs by including DVD-ROM and DVD-RAM drives as standard. Steve Jobs admitted that Apple had been \"late to the party\" on writable CD technology, but felt that Macs could become a \"digital hub\" that linked and enabled an \"emerging digital lifestyle\". Apple would later introduce an update to its iTunes music player software that enabled it to burn CDs, along with a controversial \"Rip, Mix, Burn\" advertising campaign that some felt encouraged media piracy. This accompanied the release of the iPod, Apple's first successful handheld device. Apple continued to launch products, such as the unsuccessful Power Mac G4 Cube, the education-oriented eMac, and the titanium (and later aluminium) PowerBook G4 laptop for professionals."
],
"ground_truth": [
"2011"
],
"name": "graph_construction",
"question": "When did the person who admitted that Apple was late to the party with writeable CD technology die?",
"sub_queries": [
"Who admitted that Apple was late to the party with writable CD technology? Answer: Steve Jobs",
"When did Steve Jobs die? Answer: 2011"
],
"supporting_context": [
"Macintosh: In early 2001, Apple began shipping computers with CD-RW drives and emphasized the Mac's ability to play DVDs by including DVD-ROM and DVD-RAM drives as standard. Steve Jobs admitted that Apple had been \"late to the party\" on writable CD technology, but felt that Macs could become a \"digital hub\" that linked and enabled an \"emerging digital lifestyle\". Apple would later introduce an update to its iTunes music player software that enabled it to burn CDs, along with a controversial \"Rip, Mix, Burn\" advertising campaign that some felt encouraged media piracy. This accompanied the release of the iPod, Apple's first successful handheld device. Apple continued to launch products, such as the unsuccessful Power Mac G4 Cube, the education-oriented eMac, and the titanium (and later aluminium) PowerBook G4 laptop for professionals.",
"Inside Out (2015 film): In late 2009, Docter noticed his pre-teen daughter, Elie, exhibiting similar shyness. \"She started getting more quiet and reserved, and that, frankly, triggered a lot of my own insecurities and fears,\" he said. He imagined what happens in the human mind when emotions set in. The idea to depict it through animation excited Docter, who felt it the ideal form to portray \"strong, opinionated, caricatured personalities\". He began researching information about the mind, alongside Jonas Rivera, a producer, and Ronnie del Carmen, a secondary director. They consulted Paul Ekman, a well-known psychologist who studies emotions, and Dacher Keltner, a professor of psychology at the University of California, Berkeley. Ekman had early in his career identified six core emotions—anger, fear, sadness, disgust, joy, and surprise. Docter found surprise and fear to be too similar, which left him with five emotions to build characters around. Other emotions considered for inclusion during the development process were schadenfreude, ennui, pride, and hope. Keltner focused on sadness being an emotion that strengthens relationships. Both emphasized how emotions organize social lives and the structuring of interpersonal interactions.The smash success of Docter's 2009 film Up encouraged those at Pixar to allow Docter to create another film with a more sophisticated story. Inside Out is the first Pixar film without input from co-founder and former Apple CEO Steve Jobs, who died in 2011. In addition, the film did not have as much input from chief creative officer John Lasseter, who was focused on restructuring Walt Disney Animation Studios in Burbank at the time of its production. Executives at Disney and Pixar were positive at the proposal of making Inside Out, but acknowledged it would be difficult to market."
]
},
"need_tools_kwargs": false,
"question": "When did the person who admitted that Apple was late to the party with writeable CD technology die?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Dakota City, Nebraska: Dakota City is a city in Dakota County, Nebraska, United States. The population was 1,919 at the 2010 census. It is the county seat of Dakota County. Tyson Foods' largest beef production plant is located in Dakota City.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Dakota County"
]
},
"style": "rule"
}
|
{
"index": "133",
"interaction_kwargs": {
"full_context": [
"Document 1: Dakota City, Nebraska: Dakota City is a city in Dakota County, Nebraska, United States. The population was 1,919 at the 2010 census. It is the county seat of Dakota County. Tyson Foods' largest beef production plant is located in Dakota City.",
"Document 2: KZOI: KZOI (1250 AM) and its translator at 97.1 FM is a radio station licensed to serve Dakota City, Nebraska. The station is owned by John and Heidi Small, through licensee Cup O' Dirt LLC. It airs a regional Mexican format."
],
"ground_truth": [
"Dakota County"
],
"name": "graph_construction",
"question": "In which county is the city in which KZOI is licensed?",
"sub_queries": [
"What town is KZOI liscensed in? Answer: Dakota City",
"Dakota City >> located in the administrative territorial entity Answer: Dakota County"
],
"supporting_context": [
"KZOI: KZOI (1250 AM) and its translator at 97.1 FM is a radio station licensed to serve Dakota City, Nebraska. The station is owned by John and Heidi Small, through licensee Cup O' Dirt LLC. It airs a regional Mexican format.",
"Dakota City, Nebraska: Dakota City is a city in Dakota County, Nebraska, United States. The population was 1,919 at the 2010 census. It is the county seat of Dakota County. Tyson Foods' largest beef production plant is located in Dakota City."
]
},
"need_tools_kwargs": false,
"question": "In which county is the city in which KZOI is licensed?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Teesri Manzil: Teesri Manzil (English: \"Third Floor\") is a 1966 Indian musical thriller film directed by Vijay Anand and produced by Nasir Hussain. It starred Shammi Kapoor and Asha Parekh, along with Laxmi Chhaya, Premnath, Prem Chopra, Iftekhar, Helen, K. N. Singh and Salim Khan. The film became a hit at the box office. With the music and songs setting records, this movie is considered among the best offerings of R.D. Burman's career.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Hindi"
]
},
"style": "rule"
}
|
{
"index": "134",
"interaction_kwargs": {
"full_context": [
"Document 1: Teesri Manzil: Teesri Manzil (English: \"Third Floor\") is a 1966 Indian musical thriller film directed by Vijay Anand and produced by Nasir Hussain. It starred Shammi Kapoor and Asha Parekh, along with Laxmi Chhaya, Premnath, Prem Chopra, Iftekhar, Helen, K. N. Singh and Salim Khan. The film became a hit at the box office. With the music and songs setting records, this movie is considered among the best offerings of R.D. Burman's career.",
"Document 2: Ram Balram: Ram Balram () is a 1980 Hindi action film directed by Vijay Anand. It starred Dharmendra as \"Ram\" and Amitabh Bachchan as \"Balram\". Supporting cast included Zeenat Aman and Rekha. Ajit, Amjad Khan and Prem Chopra were the villains in the film. The film marked the third time in which Bollywood eternal superstars (Amitabh Bachchan and Dharmendra) came together after their previous successful ventures in \"Chupke Chupke\" and \"Sholay\". The movie had an awesome initial opening, to thunderous responses all over India with cinema houses packed full. However, proceeds from the movie started to drop by the 4th week and it then went on to surface as the third highest-grossing film of the year earning a \"Hit\" at the box office. It was termed disappointing since at that time, films of Dharmendra and Amitabh were expected to earn more, who were already the most popular stars at the time. However, some box office analysts rate it as a \"Superhit\" when taking into consideration its net proceeds."
],
"ground_truth": [
"Hindi"
],
"name": "graph_construction",
"question": "What language is spoken by the director of Teesri Manzil?",
"sub_queries": [
"What is the name of the director of Teesri Manzil? Answer: Vijay Anand",
"Vijay Anand >> languages spoken, written or signed Answer: Hindi"
],
"supporting_context": [
"Teesri Manzil: Teesri Manzil (English: \"Third Floor\") is a 1966 Indian musical thriller film directed by Vijay Anand and produced by Nasir Hussain. It starred Shammi Kapoor and Asha Parekh, along with Laxmi Chhaya, Premnath, Prem Chopra, Iftekhar, Helen, K. N. Singh and Salim Khan. The film became a hit at the box office. With the music and songs setting records, this movie is considered among the best offerings of R.D. Burman's career.",
"Ram Balram: Ram Balram () is a 1980 Hindi action film directed by Vijay Anand. It starred Dharmendra as \"Ram\" and Amitabh Bachchan as \"Balram\". Supporting cast included Zeenat Aman and Rekha. Ajit, Amjad Khan and Prem Chopra were the villains in the film. The film marked the third time in which Bollywood eternal superstars (Amitabh Bachchan and Dharmendra) came together after their previous successful ventures in \"Chupke Chupke\" and \"Sholay\". The movie had an awesome initial opening, to thunderous responses all over India with cinema houses packed full. However, proceeds from the movie started to drop by the 4th week and it then went on to surface as the third highest-grossing film of the year earning a \"Hit\" at the box office. It was termed disappointing since at that time, films of Dharmendra and Amitabh were expected to earn more, who were already the most popular stars at the time. However, some box office analysts rate it as a \"Superhit\" when taking into consideration its net proceeds."
]
},
"need_tools_kwargs": false,
"question": "What language is spoken by the director of Teesri Manzil?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Humboldt, Kansas: Humboldt is a city in Allen County, Kansas, United States. It is situated along the Neosho River. As of the 2010 census, the city population was 1,953.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Allen County"
]
},
"style": "rule"
}
|
{
"index": "135",
"interaction_kwargs": {
"full_context": [
"Document 1: Humboldt, Kansas: Humboldt is a city in Allen County, Kansas, United States. It is situated along the Neosho River. As of the 2010 census, the city population was 1,953.",
"Document 2: Brandon Teena: Brandon Teena (born Teena Renae Brandon; December 12, 1972 – December 31, 1993) was an American trans man who was raped and murdered in Humboldt, Nebraska. His life and death were the subject of the Academy Award-winning 1999 film \"Boys Don't Cry\", which was partially based on the 1998 documentary film \"The Brandon Teena Story\". Both films also illustrated that legal and medical discrimination contributed to Teena's violent death."
],
"ground_truth": [
"Allen County"
],
"name": "graph_construction",
"question": "In which county is the place where Brandon Teena died?",
"sub_queries": [
"In what place did Brandon Teena die? Answer: Humboldt",
"Humboldt >> located in the administrative territorial entity Answer: Allen County"
],
"supporting_context": [
"Humboldt, Kansas: Humboldt is a city in Allen County, Kansas, United States. It is situated along the Neosho River. As of the 2010 census, the city population was 1,953.",
"Brandon Teena: Brandon Teena (born Teena Renae Brandon; December 12, 1972 – December 31, 1993) was an American trans man who was raped and murdered in Humboldt, Nebraska. His life and death were the subject of the Academy Award-winning 1999 film \"Boys Don't Cry\", which was partially based on the 1998 documentary film \"The Brandon Teena Story\". Both films also illustrated that legal and medical discrimination contributed to Teena's violent death."
]
},
"need_tools_kwargs": false,
"question": "In which county is the place where Brandon Teena died?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Woodrow Wilson: Thomas Woodrow Wilson (December 28, 1856 -- February 3, 1924) was an American statesman and academic who served as the 28th President of the United States from 1913 to 1921. A member of the Democratic Party, Wilson served as the President of Princeton University from 1902 to 1910, and as Governor of New Jersey from 1911 to 1913, before winning the 1912 presidential election. As president, he oversaw the passage of progressive legislative policies unparalleled until the New Deal in 1933. He also led the United States during World War I, establishing an activist foreign policy known as ``Wilsonianism. ''He was one of the three key leaders at the 1919 Paris Peace Conference, where he championed a new League of Nations, but he was unable to win Senate approval for U.S. participation in the League.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Thomas Woodrow Wilson"
]
},
"style": "rule"
}
|
{
"index": "136",
"interaction_kwargs": {
"full_context": [
"Document 1: Woodrow Wilson: Thomas Woodrow Wilson (December 28, 1856 -- February 3, 1924) was an American statesman and academic who served as the 28th President of the United States from 1913 to 1921. A member of the Democratic Party, Wilson served as the President of Princeton University from 1902 to 1910, and as Governor of New Jersey from 1911 to 1913, before winning the 1912 presidential election. As president, he oversaw the passage of progressive legislative policies unparalleled until the New Deal in 1933. He also led the United States during World War I, establishing an activist foreign policy known as ``Wilsonianism. ''He was one of the three key leaders at the 1919 Paris Peace Conference, where he championed a new League of Nations, but he was unable to win Senate approval for U.S. participation in the League.",
"Document 2: Toilet (room): Indoor toilets were at first a luxury of the rich and only gradually spread to the lower classes. As late as the 1890s, building regulations in London did not require working - class housing to have indoor toilets; into the early 20th century, some English homes were built with an upstairs toilet for use by the owners and an outhouse for use by the servants. In some cases, there was a transitional stage where toilets were built into the house but accessible only from the outside. After World War I, all new housing in London and its suburbs had indoor toilets."
],
"ground_truth": [
"Thomas Woodrow Wilson"
],
"name": "graph_construction",
"question": "Who was president of the united states immediately following the first global war after which indoor toilets became common in America?",
"sub_queries": [
"when did indoor toilets become common in america Answer: After World War I",
"who was president of the united states immediately following After World War I i Answer: Thomas Woodrow Wilson"
],
"supporting_context": [
"Toilet (room): Indoor toilets were at first a luxury of the rich and only gradually spread to the lower classes. As late as the 1890s, building regulations in London did not require working - class housing to have indoor toilets; into the early 20th century, some English homes were built with an upstairs toilet for use by the owners and an outhouse for use by the servants. In some cases, there was a transitional stage where toilets were built into the house but accessible only from the outside. After World War I, all new housing in London and its suburbs had indoor toilets.",
"Woodrow Wilson: Thomas Woodrow Wilson (December 28, 1856 -- February 3, 1924) was an American statesman and academic who served as the 28th President of the United States from 1913 to 1921. A member of the Democratic Party, Wilson served as the President of Princeton University from 1902 to 1910, and as Governor of New Jersey from 1911 to 1913, before winning the 1912 presidential election. As president, he oversaw the passage of progressive legislative policies unparalleled until the New Deal in 1933. He also led the United States during World War I, establishing an activist foreign policy known as ``Wilsonianism. ''He was one of the three key leaders at the 1919 Paris Peace Conference, where he championed a new League of Nations, but he was unable to win Senate approval for U.S. participation in the League."
]
},
"need_tools_kwargs": false,
"question": "Who was president of the united states immediately following the first global war after which indoor toilets became common in America?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Red Army: In the late 1920s and throughout the 1930s, Soviet military theoreticians led by Marshal Mikhail Tukhachevsky developed the deep operations doctrine, a direct consequence of their Polish - Soviet War and Russian Civil War experiences. To achieve victory, deep operations envisage simultaneous corps - and army - size unit maneuvers of simultaneous parallel attacks throughout the depth of the enemy's ground forces, inducing catastrophic defensive failure. The deep battle doctrine relies upon aviation and armor advances in the hope that maneuver warfare offers quick, efficient, and decisive victory. Marshal Tukhachevsky said that aerial warfare must be ``employed against targets beyond the range of infantry, artillery, and other arms. For maximum tactical effect aircraft should be employed en masse, concentrated in time and space, against targets of the highest tactical importance. ''",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Marshal Mikhail Tukhachevsky"
]
},
"style": "rule"
}
|
{
"index": "137",
"interaction_kwargs": {
"full_context": [
"Document 1: Red Army: In the late 1920s and throughout the 1930s, Soviet military theoreticians led by Marshal Mikhail Tukhachevsky developed the deep operations doctrine, a direct consequence of their Polish - Soviet War and Russian Civil War experiences. To achieve victory, deep operations envisage simultaneous corps - and army - size unit maneuvers of simultaneous parallel attacks throughout the depth of the enemy's ground forces, inducing catastrophic defensive failure. The deep battle doctrine relies upon aviation and armor advances in the hope that maneuver warfare offers quick, efficient, and decisive victory. Marshal Tukhachevsky said that aerial warfare must be ``employed against targets beyond the range of infantry, artillery, and other arms. For maximum tactical effect aircraft should be employed en masse, concentrated in time and space, against targets of the highest tactical importance. ''",
"Document 2: Warsaw: By July 1944, the Red Army was deep into Polish territory and pursuing the Germans toward Warsaw. Knowing that Stalin was hostile to the idea of an independent Poland, the Polish government-in-exile in London gave orders to the underground Home Army (AK) to try to seize control of Warsaw from the Germans before the Red Army arrived. Thus, on 1 August 1944, as the Red Army was nearing the city, the Warsaw Uprising began. The armed struggle, planned to last 48 hours, was partially successful, however it went on for 63 days. Eventually the Home Army fighters and civilians assisting them were forced to capitulate. They were transported to PoW camps in Germany, while the entire civilian population was expelled. Polish civilian deaths are estimated at between 150,000 and 200,000."
],
"ground_truth": [
"Marshal Mikhail Tukhachevsky"
],
"name": "graph_construction",
"question": "Who led the force that later pushed deep into Polish territory?",
"sub_queries": [
"What army was pushing deep into Polish territory to pursue the Germans in 1944? Answer: the Red Army",
"who led the Red Army and made it an effective fighting force Answer: Marshal Mikhail Tukhachevsky"
],
"supporting_context": [
"Warsaw: By July 1944, the Red Army was deep into Polish territory and pursuing the Germans toward Warsaw. Knowing that Stalin was hostile to the idea of an independent Poland, the Polish government-in-exile in London gave orders to the underground Home Army (AK) to try to seize control of Warsaw from the Germans before the Red Army arrived. Thus, on 1 August 1944, as the Red Army was nearing the city, the Warsaw Uprising began. The armed struggle, planned to last 48 hours, was partially successful, however it went on for 63 days. Eventually the Home Army fighters and civilians assisting them were forced to capitulate. They were transported to PoW camps in Germany, while the entire civilian population was expelled. Polish civilian deaths are estimated at between 150,000 and 200,000.",
"Red Army: In the late 1920s and throughout the 1930s, Soviet military theoreticians led by Marshal Mikhail Tukhachevsky developed the deep operations doctrine, a direct consequence of their Polish - Soviet War and Russian Civil War experiences. To achieve victory, deep operations envisage simultaneous corps - and army - size unit maneuvers of simultaneous parallel attacks throughout the depth of the enemy's ground forces, inducing catastrophic defensive failure. The deep battle doctrine relies upon aviation and armor advances in the hope that maneuver warfare offers quick, efficient, and decisive victory. Marshal Tukhachevsky said that aerial warfare must be ``employed against targets beyond the range of infantry, artillery, and other arms. For maximum tactical effect aircraft should be employed en masse, concentrated in time and space, against targets of the highest tactical importance. ''"
]
},
"need_tools_kwargs": false,
"question": "Who led the force that later pushed deep into Polish territory?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Toilet (room): Indoor toilets were at first a luxury of the rich and only gradually spread to the lower classes. As late as the 1890s, building regulations in London did not require working - class housing to have indoor toilets; into the early 20th century, some English homes were built with an upstairs toilet for use by the owners and an outhouse for use by the servants. In some cases, there was a transitional stage where toilets were built into the house but accessible only from the outside. After World War I, all new housing in London and its suburbs had indoor toilets.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"First Battle of the Marne"
]
},
"style": "rule"
}
|
{
"index": "138",
"interaction_kwargs": {
"full_context": [
"Document 1: Toilet (room): Indoor toilets were at first a luxury of the rich and only gradually spread to the lower classes. As late as the 1890s, building regulations in London did not require working - class housing to have indoor toilets; into the early 20th century, some English homes were built with an upstairs toilet for use by the owners and an outhouse for use by the servants. In some cases, there was a transitional stage where toilets were built into the house but accessible only from the outside. After World War I, all new housing in London and its suburbs had indoor toilets.",
"Document 2: Western Front (World War I): The German Army came within 70 km (43 mi) of Paris but at the First Battle of the Marne (6 -- 12 September), French and British troops were able to force a German retreat by exploiting a gap which appeared between the 1st and 2nd Armies, ending the German advance into France. The German Army retreated north of the Aisne River and dug in there, establishing the beginnings of a static western front that was to last for the next three years. Following this German retirement, the opposing forces made reciprocal outflanking manoeuvres, known as the Race for the Sea and quickly extended their trench systems from the Swiss frontier to the North Sea. The territory occupied by Germany held 64 percent of French pig - iron production, 24 percent of its steel manufacturing and 40 percent of the coal industry -- dealing a serious blow to French industry."
],
"ground_truth": [
"First Battle of the Marne"
],
"name": "graph_construction",
"question": "where was the initial german offensive during the war just before toilets became common in London?",
"sub_queries": [
"when did indoor toilets become common in america Answer: After World War I",
"where was the initial german offensive on After World War I i western front stopped in september 1914 Answer: First Battle of the Marne"
],
"supporting_context": [
"Western Front (World War I): The German Army came within 70 km (43 mi) of Paris but at the First Battle of the Marne (6 -- 12 September), French and British troops were able to force a German retreat by exploiting a gap which appeared between the 1st and 2nd Armies, ending the German advance into France. The German Army retreated north of the Aisne River and dug in there, establishing the beginnings of a static western front that was to last for the next three years. Following this German retirement, the opposing forces made reciprocal outflanking manoeuvres, known as the Race for the Sea and quickly extended their trench systems from the Swiss frontier to the North Sea. The territory occupied by Germany held 64 percent of French pig - iron production, 24 percent of its steel manufacturing and 40 percent of the coal industry -- dealing a serious blow to French industry.",
"Toilet (room): Indoor toilets were at first a luxury of the rich and only gradually spread to the lower classes. As late as the 1890s, building regulations in London did not require working - class housing to have indoor toilets; into the early 20th century, some English homes were built with an upstairs toilet for use by the owners and an outhouse for use by the servants. In some cases, there was a transitional stage where toilets were built into the house but accessible only from the outside. After World War I, all new housing in London and its suburbs had indoor toilets."
]
},
"need_tools_kwargs": false,
"question": "where was the initial german offensive during the war just before toilets became common in London?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1970"
]
},
"style": "rule"
}
|
{
"index": "139",
"interaction_kwargs": {
"full_context": [
"Document 1: Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000.",
"Document 2: SS.11: SS.11 is the designation of the Nord Aviation MCLOS wire-guided anti-tank missile. In American service, the missile was designated the \"AGM-22\". The missile entered service with the French Army in 1956. Production of the SS.11/SS.12 series ceased some time in the 1980s, by which time over 170,000 had been sold. The price of the SS.11 in the late 1960s was stated at approximately $1,900 U.S. dollars."
],
"ground_truth": [
"1970"
],
"name": "graph_construction",
"question": "In which year did the company that made SS.11 end?",
"sub_queries": [
"Who made SS.11? Answer: Nord Aviation",
"Which year did Nord Aviation end? Answer: 1970"
],
"supporting_context": [
"SS.11: SS.11 is the designation of the Nord Aviation MCLOS wire-guided anti-tank missile. In American service, the missile was designated the \"AGM-22\". The missile entered service with the French Army in 1956. Production of the SS.11/SS.12 series ceased some time in the 1980s, by which time over 170,000 had been sold. The price of the SS.11 in the late 1960s was stated at approximately $1,900 U.S. dollars.",
"Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000."
]
},
"need_tools_kwargs": false,
"question": "In which year did the company that made SS.11 end?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1970"
]
},
"style": "rule"
}
|
{
"index": "140",
"interaction_kwargs": {
"full_context": [
"Document 1: Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000.",
"Document 2: SS.11: SS.11 is the designation of the Nord Aviation MCLOS wire-guided anti-tank missile. In American service, the missile was designated the \"AGM-22\". The missile entered service with the French Army in 1956. Production of the SS.11/SS.12 series ceased some time in the 1980s, by which time over 170,000 had been sold. The price of the SS.11 in the late 1960s was stated at approximately $1,900 U.S. dollars."
],
"ground_truth": [
"1970"
],
"name": "graph_construction",
"question": "In what year did the designer of SS.11 end?",
"sub_queries": [
"Who desigened SS.11? Answer: Nord Aviation",
"Which year did Nord Aviation end? Answer: 1970"
],
"supporting_context": [
"SS.11: SS.11 is the designation of the Nord Aviation MCLOS wire-guided anti-tank missile. In American service, the missile was designated the \"AGM-22\". The missile entered service with the French Army in 1956. Production of the SS.11/SS.12 series ceased some time in the 1980s, by which time over 170,000 had been sold. The price of the SS.11 in the late 1960s was stated at approximately $1,900 U.S. dollars.",
"Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000."
]
},
"need_tools_kwargs": false,
"question": "In what year did the designer of SS.11 end?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1970"
]
},
"style": "rule"
}
|
{
"index": "141",
"interaction_kwargs": {
"full_context": [
"Document 1: Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000.",
"Document 2: AA.20: The AA.20 was a French air-to-air missile, developed by Nord Aviation, and was one of the first of such missiles adopted into service in Western Europe. Production began at Chatillon, France in 1956. Approximately 6,000 missiles of the type were produced, remaining in service until 1960."
],
"ground_truth": [
"1970"
],
"name": "graph_construction",
"question": "When did the company that made the AA.20 end by merging?",
"sub_queries": [
"Which corporation created AA.20? Answer: Nord Aviation",
"Which year did Nord Aviation end? Answer: 1970"
],
"supporting_context": [
"AA.20: The AA.20 was a French air-to-air missile, developed by Nord Aviation, and was one of the first of such missiles adopted into service in Western Europe. Production began at Chatillon, France in 1956. Approximately 6,000 missiles of the type were produced, remaining in service until 1960.",
"Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000."
]
},
"need_tools_kwargs": false,
"question": "When did the company that made the AA.20 end by merging?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1970"
]
},
"style": "rule"
}
|
{
"index": "142",
"interaction_kwargs": {
"full_context": [
"Document 1: Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000.",
"Document 2: SS.11: SS.11 is the designation of the Nord Aviation MCLOS wire-guided anti-tank missile. In American service, the missile was designated the \"AGM-22\". The missile entered service with the French Army in 1956. Production of the SS.11/SS.12 series ceased some time in the 1980s, by which time over 170,000 had been sold. The price of the SS.11 in the late 1960s was stated at approximately $1,900 U.S. dollars."
],
"ground_truth": [
"1970"
],
"name": "graph_construction",
"question": "In which year did the SS.11 manufacturer end?",
"sub_queries": [
"SS.11 >> manufacturer Answer: Nord Aviation",
"Which year did Nord Aviation end? Answer: 1970"
],
"supporting_context": [
"SS.11: SS.11 is the designation of the Nord Aviation MCLOS wire-guided anti-tank missile. In American service, the missile was designated the \"AGM-22\". The missile entered service with the French Army in 1956. Production of the SS.11/SS.12 series ceased some time in the 1980s, by which time over 170,000 had been sold. The price of the SS.11 in the late 1960s was stated at approximately $1,900 U.S. dollars.",
"Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000."
]
},
"need_tools_kwargs": false,
"question": "In which year did the SS.11 manufacturer end?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Hudson Wasp: The Hudson Wasp is an automobile that was built and marketed by the Hudson Motor Car Company of Detroit, Michigan, from the 1952 through the 1956 model years. After Hudson merged with Nash Motors, the Wasp was then built by American Motors Corporation in Kenosha, Wisconsin, and marketed under its Hudson marque for model years 1955 and 1956.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1954"
]
},
"style": "rule"
}
|
{
"index": "143",
"interaction_kwargs": {
"full_context": [
"Document 1: Hudson Wasp: The Hudson Wasp is an automobile that was built and marketed by the Hudson Motor Car Company of Detroit, Michigan, from the 1952 through the 1956 model years. After Hudson merged with Nash Motors, the Wasp was then built by American Motors Corporation in Kenosha, Wisconsin, and marketed under its Hudson marque for model years 1955 and 1956.",
"Document 2: Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued."
],
"ground_truth": [
"1954"
],
"name": "graph_construction",
"question": "What year was the end of the manufacturer of the Hudson Wasp?",
"sub_queries": [
"Hudson Wasp >> manufacturer Answer: Hudson Motor Car Company",
"What year was the end of Hudson Motor Car Company ? Answer: 1954"
],
"supporting_context": [
"Hudson Wasp: The Hudson Wasp is an automobile that was built and marketed by the Hudson Motor Car Company of Detroit, Michigan, from the 1952 through the 1956 model years. After Hudson merged with Nash Motors, the Wasp was then built by American Motors Corporation in Kenosha, Wisconsin, and marketed under its Hudson marque for model years 1955 and 1956.",
"Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued."
]
},
"need_tools_kwargs": false,
"question": "What year was the end of the manufacturer of the Hudson Wasp?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1954"
]
},
"style": "rule"
}
|
{
"index": "144",
"interaction_kwargs": {
"full_context": [
"Document 1: Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued.",
"Document 2: Hudson Commodore: The Hudson Commodore is an automobile which was produced by the Hudson Motor Car Company of Detroit, Michigan between 1941 and 1952. During its time in production, the Commodore was the largest and most luxurious Hudson model."
],
"ground_truth": [
"1954"
],
"name": "graph_construction",
"question": "What was the last year of the company that made the Hudson Commodore?",
"sub_queries": [
"Hudson Commodore >> manufacturer Answer: Hudson Motor Car Company",
"What year was the end of Hudson Motor Car Company ? Answer: 1954"
],
"supporting_context": [
"Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued.",
"Hudson Commodore: The Hudson Commodore is an automobile which was produced by the Hudson Motor Car Company of Detroit, Michigan between 1941 and 1952. During its time in production, the Commodore was the largest and most luxurious Hudson model."
]
},
"need_tools_kwargs": false,
"question": "What was the last year of the company that made the Hudson Commodore?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1954"
]
},
"style": "rule"
}
|
{
"index": "145",
"interaction_kwargs": {
"full_context": [
"Document 1: Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued.",
"Document 2: Hudson Commodore: The Hudson Commodore is an automobile which was produced by the Hudson Motor Car Company of Detroit, Michigan between 1941 and 1952. During its time in production, the Commodore was the largest and most luxurious Hudson model."
],
"ground_truth": [
"1954"
],
"name": "graph_construction",
"question": "What year was the end of the company which made the Hudson Commodore?",
"sub_queries": [
"What company made Hudson Commodore? Answer: Hudson Motor Car Company",
"What year was the end of Hudson Motor Car Company ? Answer: 1954"
],
"supporting_context": [
"Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued.",
"Hudson Commodore: The Hudson Commodore is an automobile which was produced by the Hudson Motor Car Company of Detroit, Michigan between 1941 and 1952. During its time in production, the Commodore was the largest and most luxurious Hudson model."
]
},
"need_tools_kwargs": false,
"question": "What year was the end of the company which made the Hudson Commodore?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Hudson Wasp: The Hudson Wasp is an automobile that was built and marketed by the Hudson Motor Car Company of Detroit, Michigan, from the 1952 through the 1956 model years. After Hudson merged with Nash Motors, the Wasp was then built by American Motors Corporation in Kenosha, Wisconsin, and marketed under its Hudson marque for model years 1955 and 1956.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1954"
]
},
"style": "rule"
}
|
{
"index": "146",
"interaction_kwargs": {
"full_context": [
"Document 1: Hudson Wasp: The Hudson Wasp is an automobile that was built and marketed by the Hudson Motor Car Company of Detroit, Michigan, from the 1952 through the 1956 model years. After Hudson merged with Nash Motors, the Wasp was then built by American Motors Corporation in Kenosha, Wisconsin, and marketed under its Hudson marque for model years 1955 and 1956.",
"Document 2: Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued."
],
"ground_truth": [
"1954"
],
"name": "graph_construction",
"question": "What year was the end of the producer of the Hudson Wasp?",
"sub_queries": [
"The Hudson Wasp was produced by whom? Answer: Hudson Motor Car Company",
"What year was the end of Hudson Motor Car Company ? Answer: 1954"
],
"supporting_context": [
"Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued.",
"Hudson Wasp: The Hudson Wasp is an automobile that was built and marketed by the Hudson Motor Car Company of Detroit, Michigan, from the 1952 through the 1956 model years. After Hudson merged with Nash Motors, the Wasp was then built by American Motors Corporation in Kenosha, Wisconsin, and marketed under its Hudson marque for model years 1955 and 1956."
]
},
"need_tools_kwargs": false,
"question": "What year was the end of the producer of the Hudson Wasp?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Capitol Records"
]
},
"style": "rule"
}
|
{
"index": "147",
"interaction_kwargs": {
"full_context": [
"Document 1: Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists.",
"Document 2: Up on Cripple Creek: ``Up on Cripple Creek ''is the fifth song on The Band's eponymous second album, The Band. It was released as an (edited) single on Capitol 2635 in November 1969 and reached # 25 on the Billboard Hot 100.`` Up on Cripple Creek'' was written by Band guitarist and principal songwriter Robbie Robertson, with drummer Levon Helm singing lead vocal."
],
"ground_truth": [
"Capitol Records"
],
"name": "graph_construction",
"question": "What was the record label of the songwriter of Up on Cripple Creek?",
"sub_queries": [
"who wrote the song up on cripple creek Answer: Robbie Robertson",
"Robbie Robertson >> record label Answer: Capitol Records"
],
"supporting_context": [
"Up on Cripple Creek: ``Up on Cripple Creek ''is the fifth song on The Band's eponymous second album, The Band. It was released as an (edited) single on Capitol 2635 in November 1969 and reached # 25 on the Billboard Hot 100.`` Up on Cripple Creek'' was written by Band guitarist and principal songwriter Robbie Robertson, with drummer Levon Helm singing lead vocal.",
"Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists."
]
},
"need_tools_kwargs": false,
"question": "What was the record label of the songwriter of Up on Cripple Creek?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Gregory Pence: He graduated cum laude with a B.A. from William and Mary and a Ph.D. from New York University, writing under visiting Australian bioethicist Peter Singer. Professor Pence taught a required course in bioethics for thirty-four years to 165 medical students at the University of Alabama School of Medicine. In 2006, Samford University awarded him a Pellegrino Medal for achievement in medical ethics. In 2011, he switched from teaching in the medical school to chairing the UAB Department of Philosophy, which he did from 2012 to 2018, after which he continued to be a professor in the department. In 1995, he began to direct, and continues to direct now, UAB's EMSAP (Early Medical School Acceptance Program).",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"New York University"
]
},
"style": "rule"
}
|
{
"index": "148",
"interaction_kwargs": {
"full_context": [
"Document 1: Gregory Pence: He graduated cum laude with a B.A. from William and Mary and a Ph.D. from New York University, writing under visiting Australian bioethicist Peter Singer. Professor Pence taught a required course in bioethics for thirty-four years to 165 medical students at the University of Alabama School of Medicine. In 2006, Samford University awarded him a Pellegrino Medal for achievement in medical ethics. In 2011, he switched from teaching in the medical school to chairing the UAB Department of Philosophy, which he did from 2012 to 2018, after which he continued to be a professor in the department. In 1995, he began to direct, and continues to direct now, UAB's EMSAP (Early Medical School Acceptance Program).",
"Document 2: Utilitarianism: An article in the American journal for Economics has addressed the issue of Utilitarian ethics within redistribution of wealth. The journal stated that taxation of the wealthy is the best way to make use of the disposable income they receive. This says that the money creates utility for the most people by funding government services. Many utilitarian philosophers, including Peter Singer and Toby Ord, argue that inhabitants of developed countries in particular have an obligation to help to end extreme poverty across the world, for example by regularly donating some of their income to charity. Peter Singer, for example, argues that donating some of one's income to charity could help to save a life or cure somebody from a poverty - related illness, which is a much better use of the money as it brings someone in extreme poverty far more happiness than it would bring to oneself if one lived in relative comfort. However, Singer not only argues that one ought to donate a significant proportion of one's income to charity, but also that this money should be directed to the most cost - effective charities, in order to bring about the greatest good for the greatest number, consistent with utilitarian thinking. Singer's ideas have formed the basis of the modern effective altruist movement."
],
"ground_truth": [
"New York University"
],
"name": "graph_construction",
"question": "Who is the employer of the person who said the greatest good for the greatest number?",
"sub_queries": [
"who said the greatest good for the greatest number Answer: Peter Singer",
"Peter Singer >> employer Answer: New York University"
],
"supporting_context": [
"Utilitarianism: An article in the American journal for Economics has addressed the issue of Utilitarian ethics within redistribution of wealth. The journal stated that taxation of the wealthy is the best way to make use of the disposable income they receive. This says that the money creates utility for the most people by funding government services. Many utilitarian philosophers, including Peter Singer and Toby Ord, argue that inhabitants of developed countries in particular have an obligation to help to end extreme poverty across the world, for example by regularly donating some of their income to charity. Peter Singer, for example, argues that donating some of one's income to charity could help to save a life or cure somebody from a poverty - related illness, which is a much better use of the money as it brings someone in extreme poverty far more happiness than it would bring to oneself if one lived in relative comfort. However, Singer not only argues that one ought to donate a significant proportion of one's income to charity, but also that this money should be directed to the most cost - effective charities, in order to bring about the greatest good for the greatest number, consistent with utilitarian thinking. Singer's ideas have formed the basis of the modern effective altruist movement.",
"Gregory Pence: He graduated cum laude with a B.A. from William and Mary and a Ph.D. from New York University, writing under visiting Australian bioethicist Peter Singer. Professor Pence taught a required course in bioethics for thirty-four years to 165 medical students at the University of Alabama School of Medicine. In 2006, Samford University awarded him a Pellegrino Medal for achievement in medical ethics. In 2011, he switched from teaching in the medical school to chairing the UAB Department of Philosophy, which he did from 2012 to 2018, after which he continued to be a professor in the department. In 1995, he began to direct, and continues to direct now, UAB's EMSAP (Early Medical School Acceptance Program)."
]
},
"need_tools_kwargs": false,
"question": "Who is the employer of the person who said the greatest good for the greatest number?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Estonia: Most of the Estonian Defence Forces surrendered according to the orders of the Estonian government, believing that resistance was useless and were disarmed by the Red Army. Only the Estonian Independent Signal Battalion showed resistance to Red Army and Communist militia \"People's Self-Defence\" units in front of the XXI Grammar School in Tallinn on 21 June. As the Red Army brought in additional reinforcements supported by six armoured fighting vehicles, the battle lasted several hours until sundown. Finally the military resistance was ended with negotiations and the Independent Signal Battalion surrendered and was disarmed. There were two dead Estonian servicemen, Aleksei Männikus and Johannes Mandre, and several wounded on the Estonian side and about ten killed and more wounded on the Soviet side.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"the Red Army"
]
},
"style": "rule"
}
|
{
"index": "149",
"interaction_kwargs": {
"full_context": [
"Document 1: Estonia: Most of the Estonian Defence Forces surrendered according to the orders of the Estonian government, believing that resistance was useless and were disarmed by the Red Army. Only the Estonian Independent Signal Battalion showed resistance to Red Army and Communist militia \"People's Self-Defence\" units in front of the XXI Grammar School in Tallinn on 21 June. As the Red Army brought in additional reinforcements supported by six armoured fighting vehicles, the battle lasted several hours until sundown. Finally the military resistance was ended with negotiations and the Independent Signal Battalion surrendered and was disarmed. There were two dead Estonian servicemen, Aleksei Männikus and Johannes Mandre, and several wounded on the Estonian side and about ten killed and more wounded on the Soviet side.",
"Document 2: Estonia: The military of Estonia is based upon the Estonian Defence Forces (Estonian: Kaitsevägi), which is the name of the unified armed forces of the republic with Maavägi (Army), Merevägi (Navy), Õhuvägi (Air Force) and a paramilitary national guard organisation Kaitseliit (Defence League). The Estonian National Defence Policy aim is to guarantee the preservation of the independence and sovereignty of the state, the integrity of its land, territorial waters, airspace and its constitutional order. Current strategic goals are to defend the country's interests, develop the armed forces for interoperability with other NATO and EU member forces, and participation in NATO missions."
],
"ground_truth": [
"the Red Army"
],
"name": "graph_construction",
"question": "Who disarmed the combined body of all Estonia military?",
"sub_queries": [
"What name describes the combined body of all Estonia military? Answer: the Estonian Defence Forces",
"Who disarmed the Estonian Defence Forces ? Answer: the Red Army"
],
"supporting_context": [
"Estonia: The military of Estonia is based upon the Estonian Defence Forces (Estonian: Kaitsevägi), which is the name of the unified armed forces of the republic with Maavägi (Army), Merevägi (Navy), Õhuvägi (Air Force) and a paramilitary national guard organisation Kaitseliit (Defence League). The Estonian National Defence Policy aim is to guarantee the preservation of the independence and sovereignty of the state, the integrity of its land, territorial waters, airspace and its constitutional order. Current strategic goals are to defend the country's interests, develop the armed forces for interoperability with other NATO and EU member forces, and participation in NATO missions.",
"Estonia: Most of the Estonian Defence Forces surrendered according to the orders of the Estonian government, believing that resistance was useless and were disarmed by the Red Army. Only the Estonian Independent Signal Battalion showed resistance to Red Army and Communist militia \"People's Self-Defence\" units in front of the XXI Grammar School in Tallinn on 21 June. As the Red Army brought in additional reinforcements supported by six armoured fighting vehicles, the battle lasted several hours until sundown. Finally the military resistance was ended with negotiations and the Independent Signal Battalion surrendered and was disarmed. There were two dead Estonian servicemen, Aleksei Männikus and Johannes Mandre, and several wounded on the Estonian side and about ten killed and more wounded on the Soviet side."
]
},
"need_tools_kwargs": false,
"question": "Who disarmed the combined body of all Estonia military?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1970"
]
},
"style": "rule"
}
|
{
"index": "150",
"interaction_kwargs": {
"full_context": [
"Document 1: Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000.",
"Document 2: Nord 1500 Griffon: The Nord 1500 Griffon was an experimental ramjet-powered fighter aircraft designed and built in the mid-1950s by French state-owned aircraft manufacturer Nord Aviation. It was part of a series of competing programs to fill a French Air Force specification for a Mach 2 fighter."
],
"ground_truth": [
"1970"
],
"name": "graph_construction",
"question": "In which year did the manufacturer of the Nord 1500 Griffon end?",
"sub_queries": [
"Nord 1500 Griffon >> manufacturer Answer: Nord Aviation",
"Which year did Nord Aviation end? Answer: 1970"
],
"supporting_context": [
"Nord 1500 Griffon: The Nord 1500 Griffon was an experimental ramjet-powered fighter aircraft designed and built in the mid-1950s by French state-owned aircraft manufacturer Nord Aviation. It was part of a series of competing programs to fill a French Air Force specification for a Mach 2 fighter.",
"Nord Aviation: The company was based in the centre of France, on the site of Bourges airport, in the département of Cher. In 1970, Nord Aviation merged with Sud Aviation to create \"Société nationale d'industrie aérospatiale\" (SNIAS), later renamed Aérospatiale and ultimately merged into European aerospace corporation Airbus in 2000."
]
},
"need_tools_kwargs": false,
"question": "In which year did the manufacturer of the Nord 1500 Griffon end?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Saint Barthélemy: Other trees of note include the royal palm, sea grape trees in the form of shrubs on the beaches and as 5 to 7 m trees in the interior areas of the island, aloe or aloe vera (brought from the Mediterranean), the night blooming cereus, mamillaria nivosa, yellow prickly pear or barbary fig which was planted as barbed wire defences against invading British army in 1773, Mexican cactus, stapelia gigantea, golden trumpet or yellow bell which was originally from South America, bougainvillea and others.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1773"
]
},
"style": "rule"
}
|
{
"index": "151",
"interaction_kwargs": {
"full_context": [
"Document 1: Saint Barthélemy: Other trees of note include the royal palm, sea grape trees in the form of shrubs on the beaches and as 5 to 7 m trees in the interior areas of the island, aloe or aloe vera (brought from the Mediterranean), the night blooming cereus, mamillaria nivosa, yellow prickly pear or barbary fig which was planted as barbed wire defences against invading British army in 1773, Mexican cactus, stapelia gigantea, golden trumpet or yellow bell which was originally from South America, bougainvillea and others.",
"Document 2: Tanks in World War I: In Great Britain, an initial vehicle, nicknamed Little Willie, was constructed at William Foster & Co., during August and September 1915. The prototype of a new design that became the Mark I tank was demonstrated to the British Army on February 2 1916. Although initially termed ``Landships ''by the Landship Committee, production vehicles were named`` tanks'', to preserve secrecy. The term was chosen when it became known that the factory workers at William Foster referred to the first prototype as ``the tank ''because of its resemblance to a steel water tank."
],
"ground_truth": [
"1773"
],
"name": "graph_construction",
"question": "When did the force that brought the tank to the battlefields of world war I invade the island?",
"sub_queries": [
"the tank was introduced by to the battlefields of world war i by Answer: the British Army",
"When did the British Army invade the island? Answer: 1773"
],
"supporting_context": [
"Saint Barthélemy: Other trees of note include the royal palm, sea grape trees in the form of shrubs on the beaches and as 5 to 7 m trees in the interior areas of the island, aloe or aloe vera (brought from the Mediterranean), the night blooming cereus, mamillaria nivosa, yellow prickly pear or barbary fig which was planted as barbed wire defences against invading British army in 1773, Mexican cactus, stapelia gigantea, golden trumpet or yellow bell which was originally from South America, bougainvillea and others.",
"Tanks in World War I: In Great Britain, an initial vehicle, nicknamed Little Willie, was constructed at William Foster & Co., during August and September 1915. The prototype of a new design that became the Mark I tank was demonstrated to the British Army on February 2 1916. Although initially termed ``Landships ''by the Landship Committee, production vehicles were named`` tanks'', to preserve secrecy. The term was chosen when it became known that the factory workers at William Foster referred to the first prototype as ``the tank ''because of its resemblance to a steel water tank."
]
},
"need_tools_kwargs": false,
"question": "When did the force that brought the tank to the battlefields of world war I invade the island?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: NOS Audiovisuais: It was founded with the purpose of movie distribution, and had a very close relation with the biggest studios (it is currently the Portuguese licensee of United International Pictures, Walt Disney Studios Home Entertainment, Warner Home Video, Miramax Films, DreamWorks SKG, Warner Bros. Pictures (1923-2006, 2014–present) and Paramount Pictures Home Entertainment). In the 1980s Lusomundo started acquiring newspapers, including \"Comércio do Porto\", \"Diário de Notícias\" and \"Jornal de Notícias\". In the early 1990s, it acquired TSF Rádio Notícias and minority stakes of TVI.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Warner Bros."
]
},
"style": "rule"
}
|
{
"index": "152",
"interaction_kwargs": {
"full_context": [
"Document 1: NOS Audiovisuais: It was founded with the purpose of movie distribution, and had a very close relation with the biggest studios (it is currently the Portuguese licensee of United International Pictures, Walt Disney Studios Home Entertainment, Warner Home Video, Miramax Films, DreamWorks SKG, Warner Bros. Pictures (1923-2006, 2014–present) and Paramount Pictures Home Entertainment). In the 1980s Lusomundo started acquiring newspapers, including \"Comércio do Porto\", \"Diário de Notícias\" and \"Jornal de Notícias\". In the early 1990s, it acquired TSF Rádio Notícias and minority stakes of TVI.",
"Document 2: Turner Classic Movies: The TCM Vault Collection consists of several different DVD collections of rare classic films that have been licensed, remastered and released by Turner Classic Movies (through corporate sister Warner Home Video). These boxed set releases are of films by notable actors, directors or studios that were previously unreleased on DVD or VHS. The sets often include bonus discs including documentaries and shorts from the TCM library. The initial batch of DVDs are printed in limited quantities and subsequent batches are made-on-demand (MOD)."
],
"ground_truth": [
"Warner Bros."
],
"name": "graph_construction",
"question": "Which company owns the company through which the TCM Vault Collection was released?",
"sub_queries": [
"Through what company is the TCM Vault Collection released? Answer: Warner Home Video",
"Warner Home Video >> owned by Answer: Warner Bros."
],
"supporting_context": [
"Turner Classic Movies: The TCM Vault Collection consists of several different DVD collections of rare classic films that have been licensed, remastered and released by Turner Classic Movies (through corporate sister Warner Home Video). These boxed set releases are of films by notable actors, directors or studios that were previously unreleased on DVD or VHS. The sets often include bonus discs including documentaries and shorts from the TCM library. The initial batch of DVDs are printed in limited quantities and subsequent batches are made-on-demand (MOD).",
"NOS Audiovisuais: It was founded with the purpose of movie distribution, and had a very close relation with the biggest studios (it is currently the Portuguese licensee of United International Pictures, Walt Disney Studios Home Entertainment, Warner Home Video, Miramax Films, DreamWorks SKG, Warner Bros. Pictures (1923-2006, 2014–present) and Paramount Pictures Home Entertainment). In the 1980s Lusomundo started acquiring newspapers, including \"Comércio do Porto\", \"Diário de Notícias\" and \"Jornal de Notícias\". In the early 1990s, it acquired TSF Rádio Notícias and minority stakes of TVI."
]
},
"need_tools_kwargs": false,
"question": "Which company owns the company through which the TCM Vault Collection was released?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1954"
]
},
"style": "rule"
}
|
{
"index": "153",
"interaction_kwargs": {
"full_context": [
"Document 1: Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued.",
"Document 2: Hudson Greater Eight: The Hudson Greater Eight was a premium line of automobiles produced by the Hudson Motor Car Company of Detroit, Michigan during 1931 and 1932."
],
"ground_truth": [
"1954"
],
"name": "graph_construction",
"question": "What year was the end of the Hudson Greater Eight manufacturer?",
"sub_queries": [
"Hudson Greater Eight >> manufacturer Answer: Hudson Motor Car Company",
"What year was the end of Hudson Motor Car Company ? Answer: 1954"
],
"supporting_context": [
"Hudson Motor Car Company: The Hudson Motor Car Company made Hudson and other brand automobiles in Detroit, Michigan, from 1909 to 1954. In 1954, Hudson merged with Nash-Kelvinator to form American Motors Corporation (AMC). The Hudson name was continued through the 1957 model year, after which it was discontinued.",
"Hudson Greater Eight: The Hudson Greater Eight was a premium line of automobiles produced by the Hudson Motor Car Company of Detroit, Michigan during 1931 and 1932."
]
},
"need_tools_kwargs": false,
"question": "What year was the end of the Hudson Greater Eight manufacturer?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: NOS Audiovisuais: It was founded with the purpose of movie distribution, and had a very close relation with the biggest studios (it is currently the Portuguese licensee of United International Pictures, Walt Disney Studios Home Entertainment, Warner Home Video, Miramax Films, DreamWorks SKG, Warner Bros. Pictures (1923-2006, 2014–present) and Paramount Pictures Home Entertainment). In the 1980s Lusomundo started acquiring newspapers, including \"Comércio do Porto\", \"Diário de Notícias\" and \"Jornal de Notícias\". In the early 1990s, it acquired TSF Rádio Notícias and minority stakes of TVI.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Warner Bros."
]
},
"style": "rule"
}
|
{
"index": "154",
"interaction_kwargs": {
"full_context": [
"Document 1: NOS Audiovisuais: It was founded with the purpose of movie distribution, and had a very close relation with the biggest studios (it is currently the Portuguese licensee of United International Pictures, Walt Disney Studios Home Entertainment, Warner Home Video, Miramax Films, DreamWorks SKG, Warner Bros. Pictures (1923-2006, 2014–present) and Paramount Pictures Home Entertainment). In the 1980s Lusomundo started acquiring newspapers, including \"Comércio do Porto\", \"Diário de Notícias\" and \"Jornal de Notícias\". In the early 1990s, it acquired TSF Rádio Notícias and minority stakes of TVI.",
"Document 2: Scooby-Doo and the Ghoul School: Warner Home Video released \"Scooby-Doo and the Ghoul School\" on DVD in Region 1 on June 4, 2002. The film has also been released on DVD in Region 2."
],
"ground_truth": [
"Warner Bros."
],
"name": "graph_construction",
"question": "Who owns the studio which produced Scooby-Doo and the Ghoul School?",
"sub_queries": [
"What studio produced Scooby-Doo and the Ghoul School? Answer: Warner Home Video",
"Warner Home Video >> owned by Answer: Warner Bros."
],
"supporting_context": [
"NOS Audiovisuais: It was founded with the purpose of movie distribution, and had a very close relation with the biggest studios (it is currently the Portuguese licensee of United International Pictures, Walt Disney Studios Home Entertainment, Warner Home Video, Miramax Films, DreamWorks SKG, Warner Bros. Pictures (1923-2006, 2014–present) and Paramount Pictures Home Entertainment). In the 1980s Lusomundo started acquiring newspapers, including \"Comércio do Porto\", \"Diário de Notícias\" and \"Jornal de Notícias\". In the early 1990s, it acquired TSF Rádio Notícias and minority stakes of TVI.",
"Scooby-Doo and the Ghoul School: Warner Home Video released \"Scooby-Doo and the Ghoul School\" on DVD in Region 1 on June 4, 2002. The film has also been released on DVD in Region 2."
]
},
"need_tools_kwargs": false,
"question": "Who owns the studio which produced Scooby-Doo and the Ghoul School?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: 2008 Summer Olympics torch relay: Macao: The event was held in Macau on May 3. It was the first time that the Olympic torch had traveled to Macau. A ceremony was held at Macau Fisherman's Wharf. Afterward, the torch traveled through Macau, passing by a number of landmarks including A-Ma Temple, Macau Tower, Ponte Governador Nobre de Carvalho, Ponte de Sai Van, Macau Cultural Centre, Macau Stadium and then back to the Fisherman's Wharf for the closing ceremony. Parts of the route near Ruins of St. Paul's and Taipa was shortened due to large crowds of supporters blocking narrow streets. A total of 120 torchbearers participated in this event including casino tycoon Stanley Ho. Leong Hong Man and Leong Heng Teng were the first and last torchbearer in the relay respectively. An article published on Macao Daily News criticized that the list of the torchbearers could not fully represent the Macanese and that there were too many non-athletes among the torchbearers. (some of whom had already been torchbearers of other sporting events)",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Leong Hong Man"
]
},
"style": "rule"
}
|
{
"index": "155",
"interaction_kwargs": {
"full_context": [
"Document 1: 2008 Summer Olympics torch relay: Macao: The event was held in Macau on May 3. It was the first time that the Olympic torch had traveled to Macau. A ceremony was held at Macau Fisherman's Wharf. Afterward, the torch traveled through Macau, passing by a number of landmarks including A-Ma Temple, Macau Tower, Ponte Governador Nobre de Carvalho, Ponte de Sai Van, Macau Cultural Centre, Macau Stadium and then back to the Fisherman's Wharf for the closing ceremony. Parts of the route near Ruins of St. Paul's and Taipa was shortened due to large crowds of supporters blocking narrow streets. A total of 120 torchbearers participated in this event including casino tycoon Stanley Ho. Leong Hong Man and Leong Heng Teng were the first and last torchbearer in the relay respectively. An article published on Macao Daily News criticized that the list of the torchbearers could not fully represent the Macanese and that there were too many non-athletes among the torchbearers. (some of whom had already been torchbearers of other sporting events)",
"Document 2: Manuel John Johnson: He was born in Macao, China, the son of John William Roberts of the East India Company and was educated at Mr Styles' Classical Academy in Thames Ditton and at the Addiscombe Military Seminary for service in the East India Company (the HEIC)."
],
"ground_truth": [
"Leong Hong Man"
],
"name": "graph_construction",
"question": "Who was the first torchbearer in the place where Manuel John Johnson was born?",
"sub_queries": [
"Manuel John Johnson >> place of birth Answer: Macao",
"Who was the first torchbearer in Macao ? Answer: Leong Hong Man"
],
"supporting_context": [
"Manuel John Johnson: He was born in Macao, China, the son of John William Roberts of the East India Company and was educated at Mr Styles' Classical Academy in Thames Ditton and at the Addiscombe Military Seminary for service in the East India Company (the HEIC).",
"2008 Summer Olympics torch relay: Macao: The event was held in Macau on May 3. It was the first time that the Olympic torch had traveled to Macau. A ceremony was held at Macau Fisherman's Wharf. Afterward, the torch traveled through Macau, passing by a number of landmarks including A-Ma Temple, Macau Tower, Ponte Governador Nobre de Carvalho, Ponte de Sai Van, Macau Cultural Centre, Macau Stadium and then back to the Fisherman's Wharf for the closing ceremony. Parts of the route near Ruins of St. Paul's and Taipa was shortened due to large crowds of supporters blocking narrow streets. A total of 120 torchbearers participated in this event including casino tycoon Stanley Ho. Leong Hong Man and Leong Heng Teng were the first and last torchbearer in the relay respectively. An article published on Macao Daily News criticized that the list of the torchbearers could not fully represent the Macanese and that there were too many non-athletes among the torchbearers. (some of whom had already been torchbearers of other sporting events)"
]
},
"need_tools_kwargs": false,
"question": "Who was the first torchbearer in the place where Manuel John Johnson was born?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Capitol Records"
]
},
"style": "rule"
}
|
{
"index": "156",
"interaction_kwargs": {
"full_context": [
"Document 1: Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists.",
"Document 2: The Night They Drove Old Dixie Down: ``The Night They Drove Old Dixie Down ''is a song written by Robbie Robertson and originally recorded by the Canadian - American roots rock group the Band in 1969 and released on their eponymous second album. Levon Helm provided the lead vocals. The song is a first - person narrative relating the economic and social distress experienced by the protagonist, a poor white Southerner, during the last year of the American Civil War. Frequently appearing on lists of the best rock songs of all time, it has been cited as an early example of the genre known as roots rock."
],
"ground_truth": [
"Capitol Records"
],
"name": "graph_construction",
"question": "The writer of The Night They Drove Old Dixie Down falls under which record label?",
"sub_queries": [
"who wrote the night they drove ole dixie down Answer: Robbie Robertson",
"Robbie Robertson >> record label Answer: Capitol Records"
],
"supporting_context": [
"Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists.",
"The Night They Drove Old Dixie Down: ``The Night They Drove Old Dixie Down ''is a song written by Robbie Robertson and originally recorded by the Canadian - American roots rock group the Band in 1969 and released on their eponymous second album. Levon Helm provided the lead vocals. The song is a first - person narrative relating the economic and social distress experienced by the protagonist, a poor white Southerner, during the last year of the American Civil War. Frequently appearing on lists of the best rock songs of all time, it has been cited as an early example of the genre known as roots rock."
]
},
"need_tools_kwargs": false,
"question": "The writer of The Night They Drove Old Dixie Down falls under which record label?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Capitol Records"
]
},
"style": "rule"
}
|
{
"index": "157",
"interaction_kwargs": {
"full_context": [
"Document 1: Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists.",
"Document 2: The Night They Drove Old Dixie Down: ``The Night They Drove Old Dixie Down ''is a song written by Robbie Robertson and originally recorded by the Canadian - American roots rock group the Band in 1969 and released on their eponymous second album. Levon Helm provided the lead vocals. The song is a first - person narrative relating the economic and social distress experienced by the protagonist, a poor white Southerner, during the last year of the American Civil War, when George Stoneman was raiding southwest Virginia. Frequently appearing on lists of the best rock songs of all time, it has been cited as an early example of the genre known as roots rock."
],
"ground_truth": [
"Capitol Records"
],
"name": "graph_construction",
"question": "What record label is the musician who wrote the day they drove old dixie down affiliated?",
"sub_queries": [
"who wrote the day they drove old dixie down Answer: Robbie Robertson",
"Robbie Robertson >> record label Answer: Capitol Records"
],
"supporting_context": [
"Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists.",
"The Night They Drove Old Dixie Down: ``The Night They Drove Old Dixie Down ''is a song written by Robbie Robertson and originally recorded by the Canadian - American roots rock group the Band in 1969 and released on their eponymous second album. Levon Helm provided the lead vocals. The song is a first - person narrative relating the economic and social distress experienced by the protagonist, a poor white Southerner, during the last year of the American Civil War, when George Stoneman was raiding southwest Virginia. Frequently appearing on lists of the best rock songs of all time, it has been cited as an early example of the genre known as roots rock."
]
},
"need_tools_kwargs": false,
"question": "What record label is the musician who wrote the day they drove old dixie down affiliated?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: SA80: The SA80 is a British family of 5.56 × 45mm NATO small arms, all of which are selective fire, gas - operated assault rifle s. The L85 rifle variant of the SA80 family has been the standard issue service rifle of the British Armed Forces since 1987, replacing the L1A1 variant of the FN FAL. The first prototypes were created in 1976, with production ending in 1994. The A1 variant was significantly upgraded in the early 2000s by Heckler & Koch as the SA80A2 and remains in service as of 2017. In mid-2016 a prototype A3 variant was showcased which further improved on the weapon and is reportedly being considered to extend the out of service date beyond 2025.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1987"
]
},
"style": "rule"
}
|
{
"index": "158",
"interaction_kwargs": {
"full_context": [
"Document 1: SA80: The SA80 is a British family of 5.56 × 45mm NATO small arms, all of which are selective fire, gas - operated assault rifle s. The L85 rifle variant of the SA80 family has been the standard issue service rifle of the British Armed Forces since 1987, replacing the L1A1 variant of the FN FAL. The first prototypes were created in 1976, with production ending in 1994. The A1 variant was significantly upgraded in the early 2000s by Heckler & Koch as the SA80A2 and remains in service as of 2017. In mid-2016 a prototype A3 variant was showcased which further improved on the weapon and is reportedly being considered to extend the out of service date beyond 2025.",
"Document 2: Tanks in World War I: In Great Britain, an initial vehicle, nicknamed Little Willie, was constructed at William Foster & Co., during August and September 1915. The prototype of a new design that became the Mark I tank was demonstrated to the British Army on February 2 1916. Although initially termed ``Landships ''by the Landship Committee, production vehicles were named`` tanks'', to preserve secrecy. The term was chosen when it became known that the factory workers at William Foster referred to the first prototype as ``the tank ''because of its resemblance to a steel water tank."
],
"ground_truth": [
"1987"
],
"name": "graph_construction",
"question": "When did the military which introduced the tank to the battlefields of WWI start using the SA80?",
"sub_queries": [
"the tank was introduced by to the battlefields of world war i by Answer: the British Army",
"when did the British Army start using the sa80 Answer: 1987"
],
"supporting_context": [
"Tanks in World War I: In Great Britain, an initial vehicle, nicknamed Little Willie, was constructed at William Foster & Co., during August and September 1915. The prototype of a new design that became the Mark I tank was demonstrated to the British Army on February 2 1916. Although initially termed ``Landships ''by the Landship Committee, production vehicles were named`` tanks'', to preserve secrecy. The term was chosen when it became known that the factory workers at William Foster referred to the first prototype as ``the tank ''because of its resemblance to a steel water tank.",
"SA80: The SA80 is a British family of 5.56 × 45mm NATO small arms, all of which are selective fire, gas - operated assault rifle s. The L85 rifle variant of the SA80 family has been the standard issue service rifle of the British Armed Forces since 1987, replacing the L1A1 variant of the FN FAL. The first prototypes were created in 1976, with production ending in 1994. The A1 variant was significantly upgraded in the early 2000s by Heckler & Koch as the SA80A2 and remains in service as of 2017. In mid-2016 a prototype A3 variant was showcased which further improved on the weapon and is reportedly being considered to extend the out of service date beyond 2025."
]
},
"need_tools_kwargs": false,
"question": "When did the military which introduced the tank to the battlefields of WWI start using the SA80?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Animal Liberation (book): Animal Liberation: A New Ethics for Our Treatment of Animals is a 1975 book by Australian philosopher Peter Singer. It is widely considered within the animal liberation movement to be the founding philosophical statement of its ideas. Singer himself rejected the use of the theoretical framework of rights when it comes to human and nonhuman animals. Following Jeremy Bentham, Singer argued that the interests of animals should be considered because of their ability to experience suffering and that the idea of rights was not necessary in order to consider them. His ethical ideas fall under the umbrella of biocentrism. He popularized the term ``speciesism ''in the book, which had been coined by Richard D. Ryder to describe the exploitative treatment of animals.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"New York University"
]
},
"style": "rule"
}
|
{
"index": "159",
"interaction_kwargs": {
"full_context": [
"Document 1: Animal Liberation (book): Animal Liberation: A New Ethics for Our Treatment of Animals is a 1975 book by Australian philosopher Peter Singer. It is widely considered within the animal liberation movement to be the founding philosophical statement of its ideas. Singer himself rejected the use of the theoretical framework of rights when it comes to human and nonhuman animals. Following Jeremy Bentham, Singer argued that the interests of animals should be considered because of their ability to experience suffering and that the idea of rights was not necessary in order to consider them. His ethical ideas fall under the umbrella of biocentrism. He popularized the term ``speciesism ''in the book, which had been coined by Richard D. Ryder to describe the exploitative treatment of animals.",
"Document 2: Gregory Pence: He graduated cum laude with a B.A. from William and Mary and a Ph.D. from New York University, writing under visiting Australian bioethicist Peter Singer. Professor Pence taught a required course in bioethics for thirty-four years to 165 medical students at the University of Alabama School of Medicine. In 2006, Samford University awarded him a Pellegrino Medal for achievement in medical ethics. In 2011, he switched from teaching in the medical school to chairing the UAB Department of Philosophy, which he did from 2012 to 2018, after which he continued to be a professor in the department. In 1995, he began to direct, and continues to direct now, UAB's EMSAP (Early Medical School Acceptance Program)."
],
"ground_truth": [
"New York University"
],
"name": "graph_construction",
"question": "Who employs the person who wrote the book Animal Liberation?",
"sub_queries": [
"who wrote against animal experimentation with his book animal liberation Answer: Peter Singer",
"Peter Singer >> employer Answer: New York University"
],
"supporting_context": [
"Animal Liberation (book): Animal Liberation: A New Ethics for Our Treatment of Animals is a 1975 book by Australian philosopher Peter Singer. It is widely considered within the animal liberation movement to be the founding philosophical statement of its ideas. Singer himself rejected the use of the theoretical framework of rights when it comes to human and nonhuman animals. Following Jeremy Bentham, Singer argued that the interests of animals should be considered because of their ability to experience suffering and that the idea of rights was not necessary in order to consider them. His ethical ideas fall under the umbrella of biocentrism. He popularized the term ``speciesism ''in the book, which had been coined by Richard D. Ryder to describe the exploitative treatment of animals.",
"Gregory Pence: He graduated cum laude with a B.A. from William and Mary and a Ph.D. from New York University, writing under visiting Australian bioethicist Peter Singer. Professor Pence taught a required course in bioethics for thirty-four years to 165 medical students at the University of Alabama School of Medicine. In 2006, Samford University awarded him a Pellegrino Medal for achievement in medical ethics. In 2011, he switched from teaching in the medical school to chairing the UAB Department of Philosophy, which he did from 2012 to 2018, after which he continued to be a professor in the department. In 1995, he began to direct, and continues to direct now, UAB's EMSAP (Early Medical School Acceptance Program)."
]
},
"need_tools_kwargs": false,
"question": "Who employs the person who wrote the book Animal Liberation?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: WGLB: WGLB (1560 AM) is a gospel music radio station licensed to Elm Grove, Wisconsin and serving the Milwaukee metropolitan area. The station is owned and licensed to JJK Legacy Group, LLC, where his children serve as co-owners. Joel Kinlow used to own television station WJJA in Racine and FM radio station WGLB-FM in Port Washington, Wisconsin (Joel Kinlow died on June 7, 2016). On April 20, 2015 WGLB was granted a Federal Communications Commission construction permit to increase day power to 2,500 watts and add critical hours service with 700 watts.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Waukesha County"
]
},
"style": "rule"
}
|
{
"index": "160",
"interaction_kwargs": {
"full_context": [
"Document 1: WGLB: WGLB (1560 AM) is a gospel music radio station licensed to Elm Grove, Wisconsin and serving the Milwaukee metropolitan area. The station is owned and licensed to JJK Legacy Group, LLC, where his children serve as co-owners. Joel Kinlow used to own television station WJJA in Racine and FM radio station WGLB-FM in Port Washington, Wisconsin (Joel Kinlow died on June 7, 2016). On April 20, 2015 WGLB was granted a Federal Communications Commission construction permit to increase day power to 2,500 watts and add critical hours service with 700 watts.",
"Document 2: Elm Grove, Wisconsin: Elm Grove is a village in Waukesha County, Wisconsin, United States. The population was 5,934 at the 2010 census. Elm Grove was named as America's best suburb by Business Insider in October 2014."
],
"ground_truth": [
"Waukesha County"
],
"name": "graph_construction",
"question": "In what county is WGLB located?",
"sub_queries": [
"What city is WGLB located? Answer: Elm Grove",
"Elm Grove >> located in the administrative territorial entity Answer: Waukesha County"
],
"supporting_context": [
"Elm Grove, Wisconsin: Elm Grove is a village in Waukesha County, Wisconsin, United States. The population was 5,934 at the 2010 census. Elm Grove was named as America's best suburb by Business Insider in October 2014.",
"WGLB: WGLB (1560 AM) is a gospel music radio station licensed to Elm Grove, Wisconsin and serving the Milwaukee metropolitan area. The station is owned and licensed to JJK Legacy Group, LLC, where his children serve as co-owners. Joel Kinlow used to own television station WJJA in Racine and FM radio station WGLB-FM in Port Washington, Wisconsin (Joel Kinlow died on June 7, 2016). On April 20, 2015 WGLB was granted a Federal Communications Commission construction permit to increase day power to 2,500 watts and add critical hours service with 700 watts."
]
},
"need_tools_kwargs": false,
"question": "In what county is WGLB located?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Service Dress (British Army): Service Dress was the new style of khaki service dress uniform introduced by the British Army for use in the field from the early 1900s, following the experiences of a number of imperial wars and conflicts, including the Second Boer War. This variant of uniform continues to be worn today, although only in a formal role, as No. 2 Pattern dress.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"early 1900s"
]
},
"style": "rule"
}
|
{
"index": "161",
"interaction_kwargs": {
"full_context": [
"Document 1: Service Dress (British Army): Service Dress was the new style of khaki service dress uniform introduced by the British Army for use in the field from the early 1900s, following the experiences of a number of imperial wars and conflicts, including the Second Boer War. This variant of uniform continues to be worn today, although only in a formal role, as No. 2 Pattern dress.",
"Document 2: Tanks in World War I: In Great Britain, an initial vehicle, nicknamed Little Willie, was constructed at William Foster & Co., during August and September 1915. The prototype of a new design that became the Mark I tank was demonstrated to the British Army on February 2 1916. Although initially termed ``Landships ''by the Landship Committee, production vehicles were named`` tanks'', to preserve secrecy. The term was chosen when it became known that the factory workers at William Foster referred to the first prototype as ``the tank ''because of its resemblance to a steel water tank."
],
"ground_truth": [
"early 1900s"
],
"name": "graph_construction",
"question": "When did the army that introduced tanks to battlefields in WWI start wearing khaki?",
"sub_queries": [
"the tank was introduced by to the battlefields of world war i by Answer: the British Army",
"when did the British Army start wearing khaki Answer: early 1900s"
],
"supporting_context": [
"Service Dress (British Army): Service Dress was the new style of khaki service dress uniform introduced by the British Army for use in the field from the early 1900s, following the experiences of a number of imperial wars and conflicts, including the Second Boer War. This variant of uniform continues to be worn today, although only in a formal role, as No. 2 Pattern dress.",
"Tanks in World War I: In Great Britain, an initial vehicle, nicknamed Little Willie, was constructed at William Foster & Co., during August and September 1915. The prototype of a new design that became the Mark I tank was demonstrated to the British Army on February 2 1916. Although initially termed ``Landships ''by the Landship Committee, production vehicles were named`` tanks'', to preserve secrecy. The term was chosen when it became known that the factory workers at William Foster referred to the first prototype as ``the tank ''because of its resemblance to a steel water tank."
]
},
"need_tools_kwargs": false,
"question": "When did the army that introduced tanks to battlefields in WWI start wearing khaki?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: 2008 Summer Olympics torch relay: Macao: The event was held in Macau on May 3. It was the first time that the Olympic torch had traveled to Macau. A ceremony was held at Macau Fisherman's Wharf. Afterward, the torch traveled through Macau, passing by a number of landmarks including A-Ma Temple, Macau Tower, Ponte Governador Nobre de Carvalho, Ponte de Sai Van, Macau Cultural Centre, Macau Stadium and then back to the Fisherman's Wharf for the closing ceremony. Parts of the route near Ruins of St. Paul's and Taipa was shortened due to large crowds of supporters blocking narrow streets. A total of 120 torchbearers participated in this event including casino tycoon Stanley Ho. Leong Hong Man and Leong Heng Teng were the first and last torchbearer in the relay respectively. An article published on Macao Daily News criticized that the list of the torchbearers could not fully represent the Macanese and that there were too many non-athletes among the torchbearers. (some of whom had already been torchbearers of other sporting events)",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"May 3"
]
},
"style": "rule"
}
|
{
"index": "162",
"interaction_kwargs": {
"full_context": [
"Document 1: 2008 Summer Olympics torch relay: Macao: The event was held in Macau on May 3. It was the first time that the Olympic torch had traveled to Macau. A ceremony was held at Macau Fisherman's Wharf. Afterward, the torch traveled through Macau, passing by a number of landmarks including A-Ma Temple, Macau Tower, Ponte Governador Nobre de Carvalho, Ponte de Sai Van, Macau Cultural Centre, Macau Stadium and then back to the Fisherman's Wharf for the closing ceremony. Parts of the route near Ruins of St. Paul's and Taipa was shortened due to large crowds of supporters blocking narrow streets. A total of 120 torchbearers participated in this event including casino tycoon Stanley Ho. Leong Hong Man and Leong Heng Teng were the first and last torchbearer in the relay respectively. An article published on Macao Daily News criticized that the list of the torchbearers could not fully represent the Macanese and that there were too many non-athletes among the torchbearers. (some of whom had already been torchbearers of other sporting events)",
"Document 2: Manuel John Johnson: He was born in Macao, China, the son of John William Roberts of the East India Company and was educated at Mr Styles' Classical Academy in Thames Ditton and at the Addiscombe Military Seminary for service in the East India Company (the HEIC)."
],
"ground_truth": [
"May 3"
],
"name": "graph_construction",
"question": "When did the torch visit Manuel John Johnson's birthplace?",
"sub_queries": [
"Manuel John Johnson >> place of birth Answer: Macao",
"When did the torch visit Macao ? Answer: May 3"
],
"supporting_context": [
"Manuel John Johnson: He was born in Macao, China, the son of John William Roberts of the East India Company and was educated at Mr Styles' Classical Academy in Thames Ditton and at the Addiscombe Military Seminary for service in the East India Company (the HEIC).",
"2008 Summer Olympics torch relay: Macao: The event was held in Macau on May 3. It was the first time that the Olympic torch had traveled to Macau. A ceremony was held at Macau Fisherman's Wharf. Afterward, the torch traveled through Macau, passing by a number of landmarks including A-Ma Temple, Macau Tower, Ponte Governador Nobre de Carvalho, Ponte de Sai Van, Macau Cultural Centre, Macau Stadium and then back to the Fisherman's Wharf for the closing ceremony. Parts of the route near Ruins of St. Paul's and Taipa was shortened due to large crowds of supporters blocking narrow streets. A total of 120 torchbearers participated in this event including casino tycoon Stanley Ho. Leong Hong Man and Leong Heng Teng were the first and last torchbearer in the relay respectively. An article published on Macao Daily News criticized that the list of the torchbearers could not fully represent the Macanese and that there were too many non-athletes among the torchbearers. (some of whom had already been torchbearers of other sporting events)"
]
},
"need_tools_kwargs": false,
"question": "When did the torch visit Manuel John Johnson's birthplace?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: WWGC: WWGC AM 1090 is a radio station licensed to serve Albertville, Alabama. The station is owned by The Jeff Beck Broadcasting Group, LLC. It airs a Latino Music programming format.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Marshall County"
]
},
"style": "rule"
}
|
{
"index": "163",
"interaction_kwargs": {
"full_context": [
"Document 1: WWGC: WWGC AM 1090 is a radio station licensed to serve Albertville, Alabama. The station is owned by The Jeff Beck Broadcasting Group, LLC. It airs a Latino Music programming format.",
"Document 2: Albertville, Alabama: Albertville is a city in Marshall County, Alabama, United States, and is included in the Huntsville-Decatur Combined Statistical Area. As of the 2010 census, the population of the city was 21,160."
],
"ground_truth": [
"Marshall County"
],
"name": "graph_construction",
"question": "In which county can you find WWGC?",
"sub_queries": [
"What city is WWGC located? Answer: Albertville",
"Albertville >> located in the administrative territorial entity Answer: Marshall County"
],
"supporting_context": [
"WWGC: WWGC AM 1090 is a radio station licensed to serve Albertville, Alabama. The station is owned by The Jeff Beck Broadcasting Group, LLC. It airs a Latino Music programming format.",
"Albertville, Alabama: Albertville is a city in Marshall County, Alabama, United States, and is included in the Huntsville-Decatur Combined Statistical Area. As of the 2010 census, the population of the city was 21,160."
]
},
"need_tools_kwargs": false,
"question": "In which county can you find WWGC?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: CFLT-FM: CFLT-FM (92.9 FM) is an FM radio station licensed to Dartmouth, Nova Scotia, Canada and serving the Halifax area. The station is owned by Rogers Media and broadcasts at 92.9 MHz. CFLT's studios are located on Young Street in Halifax, while its transmitter is located on Washmill Lake Drive in Clayton Park.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Halifax Regional Municipality"
]
},
"style": "rule"
}
|
{
"index": "164",
"interaction_kwargs": {
"full_context": [
"Document 1: CFLT-FM: CFLT-FM (92.9 FM) is an FM radio station licensed to Dartmouth, Nova Scotia, Canada and serving the Halifax area. The station is owned by Rogers Media and broadcasts at 92.9 MHz. CFLT's studios are located on Young Street in Halifax, while its transmitter is located on Washmill Lake Drive in Clayton Park.",
"Document 2: Woodlawn, Nova Scotia: Woodlawn is an area of eastern Dartmouth, Nova Scotia in the Halifax Regional Municipality, Nova Scotia that is mainly residential and retail. It is situated within an area with Highway 111 on the west, Portland Street (Route 207) on the east and Main Street (Trunk 7) on the North side. The first three digits of the postal code are B2W."
],
"ground_truth": [
"Halifax Regional Municipality"
],
"name": "graph_construction",
"question": "What municipality is the city CFLT-FM is located a part of?",
"sub_queries": [
"What city is CFLT-FM located? Answer: Dartmouth",
"Dartmouth >> located in the administrative territorial entity Answer: Halifax Regional Municipality"
],
"supporting_context": [
"Woodlawn, Nova Scotia: Woodlawn is an area of eastern Dartmouth, Nova Scotia in the Halifax Regional Municipality, Nova Scotia that is mainly residential and retail. It is situated within an area with Highway 111 on the west, Portland Street (Route 207) on the east and Main Street (Trunk 7) on the North side. The first three digits of the postal code are B2W.",
"CFLT-FM: CFLT-FM (92.9 FM) is an FM radio station licensed to Dartmouth, Nova Scotia, Canada and serving the Halifax area. The station is owned by Rogers Media and broadcasts at 92.9 MHz. CFLT's studios are located on Young Street in Halifax, while its transmitter is located on Washmill Lake Drive in Clayton Park."
]
},
"need_tools_kwargs": false,
"question": "What municipality is the city CFLT-FM is located a part of?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: The Night They Drove Old Dixie Down: ``The Night They Drove Old Dixie Down ''is a song written by Robbie Robertson and originally recorded by the Canadian - American roots rock group the Band in 1969 and released on their eponymous second album. Levon Helm provided the lead vocals. The song is a first - person narrative relating the economic and social distress experienced by the protagonist, a poor white Southerner, during the last year of the American Civil War. Frequently appearing on lists of the best rock songs of all time, it has been cited as an early example of the genre known as roots rock.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Capitol Records"
]
},
"style": "rule"
}
|
{
"index": "165",
"interaction_kwargs": {
"full_context": [
"Document 1: The Night They Drove Old Dixie Down: ``The Night They Drove Old Dixie Down ''is a song written by Robbie Robertson and originally recorded by the Canadian - American roots rock group the Band in 1969 and released on their eponymous second album. Levon Helm provided the lead vocals. The song is a first - person narrative relating the economic and social distress experienced by the protagonist, a poor white Southerner, during the last year of the American Civil War. Frequently appearing on lists of the best rock songs of all time, it has been cited as an early example of the genre known as roots rock.",
"Document 2: Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists."
],
"ground_truth": [
"Capitol Records"
],
"name": "graph_construction",
"question": "What's the record label of the songwriter of The Night They Drove Old Dixie Down?",
"sub_queries": [
"who wrote the night they drove old dixie down lyrics Answer: Robbie Robertson",
"Robbie Robertson >> record label Answer: Capitol Records"
],
"supporting_context": [
"Contact from the Underworld of Redboy: Contact from the Underworld of Redboy is an album by Robbie Robertson that was released in 1998 by Capitol Records. The album is composed of music inspired by Aboriginal Canadian music (including traditional Aboriginal Canadian songs and chants) as well as modern rock, trip hop, and electronica, often integrated together, and features many guest artists.",
"The Night They Drove Old Dixie Down: ``The Night They Drove Old Dixie Down ''is a song written by Robbie Robertson and originally recorded by the Canadian - American roots rock group the Band in 1969 and released on their eponymous second album. Levon Helm provided the lead vocals. The song is a first - person narrative relating the economic and social distress experienced by the protagonist, a poor white Southerner, during the last year of the American Civil War. Frequently appearing on lists of the best rock songs of all time, it has been cited as an early example of the genre known as roots rock."
]
},
"need_tools_kwargs": false,
"question": "What's the record label of the songwriter of The Night They Drove Old Dixie Down?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Emanuelle in America: Emanuelle in America is a 1977 Italian sexploitation film, the third in a series starring Laura Gemser made to cash in on the success of the French film \"Emmanuelle\" (1974) and its sequels. It was the second in the series to be directed by Joe D'Amato. It is infamous for its \"hardcore footage of unsimulated fellatio, penetration, ejaculation and unconventional horse husbandry\".",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Italian"
]
},
"style": "rule"
}
|
{
"index": "166",
"interaction_kwargs": {
"full_context": [
"Document 1: Emanuelle in America: Emanuelle in America is a 1977 Italian sexploitation film, the third in a series starring Laura Gemser made to cash in on the success of the French film \"Emmanuelle\" (1974) and its sequels. It was the second in the series to be directed by Joe D'Amato. It is infamous for its \"hardcore footage of unsimulated fellatio, penetration, ejaculation and unconventional horse husbandry\".",
"Document 2: Black Emanuelle: \"Black Emanuelle\" was followed by a number of sequels, all revolving around follows the erotic adventures of Mae Jordan (played by Laura Gemser), a globe-trotting, hedonistic investigative journalist and photographer known to her readers as \"Emanuelle\". Her character has been described as \"a strong and independent woman, sexually proactive, at the centre of wealthy young and old white men of power, and involved in any sort of depraved set and situation.\""
],
"ground_truth": [
"Italian"
],
"name": "graph_construction",
"question": "What language was used by the cast member of Black Emanuelle?",
"sub_queries": [
"What cast members where in Black Emanuelle? Answer: Laura Gemser",
"Laura Gemser >> languages spoken, written or signed Answer: Italian"
],
"supporting_context": [
"Black Emanuelle: \"Black Emanuelle\" was followed by a number of sequels, all revolving around follows the erotic adventures of Mae Jordan (played by Laura Gemser), a globe-trotting, hedonistic investigative journalist and photographer known to her readers as \"Emanuelle\". Her character has been described as \"a strong and independent woman, sexually proactive, at the centre of wealthy young and old white men of power, and involved in any sort of depraved set and situation.\"",
"Emanuelle in America: Emanuelle in America is a 1977 Italian sexploitation film, the third in a series starring Laura Gemser made to cash in on the success of the French film \"Emmanuelle\" (1974) and its sequels. It was the second in the series to be directed by Joe D'Amato. It is infamous for its \"hardcore footage of unsimulated fellatio, penetration, ejaculation and unconventional horse husbandry\"."
]
},
"need_tools_kwargs": false,
"question": "What language was used by the cast member of Black Emanuelle?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Royal Rumble (2015): Six matches were contested at the event, with one being shown on the pre-show. In the main event, Roman Reigns won the traditional Royal Rumble match to receive a shot for the WWE World Heavyweight Championship at WrestleMania 31. Elsewhere on the event's card, The Usos defeated The Miz and Damien Mizdow to retain the WWE Tag Team Championship, while the WWE World Heavyweight Champion Brock Lesnar successfully defended his title against Seth Rollins and John Cena in a triple threat match.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"three"
]
},
"style": "rule"
}
|
{
"index": "167",
"interaction_kwargs": {
"full_context": [
"Document 1: Royal Rumble (2015): Six matches were contested at the event, with one being shown on the pre-show. In the main event, Roman Reigns won the traditional Royal Rumble match to receive a shot for the WWE World Heavyweight Championship at WrestleMania 31. Elsewhere on the event's card, The Usos defeated The Miz and Damien Mizdow to retain the WWE Tag Team Championship, while the WWE World Heavyweight Champion Brock Lesnar successfully defended his title against Seth Rollins and John Cena in a triple threat match.",
"Document 2: Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event."
],
"ground_truth": [
"three"
],
"name": "graph_construction",
"question": "How many times did the athlete who won the 2015 Royal Rumble win the WWE championship?",
"sub_queries": [
"who is the winner of 2015 royal rumble Answer: Roman Reigns",
"how many times did Roman Reigns win the wwe championship Answer: three"
],
"supporting_context": [
"Royal Rumble (2015): Six matches were contested at the event, with one being shown on the pre-show. In the main event, Roman Reigns won the traditional Royal Rumble match to receive a shot for the WWE World Heavyweight Championship at WrestleMania 31. Elsewhere on the event's card, The Usos defeated The Miz and Damien Mizdow to retain the WWE Tag Team Championship, while the WWE World Heavyweight Champion Brock Lesnar successfully defended his title against Seth Rollins and John Cena in a triple threat match.",
"Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event."
]
},
"need_tools_kwargs": false,
"question": "How many times did the athlete who won the 2015 Royal Rumble win the WWE championship?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Lewis Croft: Lewis Croft was born in Shelley, Idaho in 1919 to Samuel and Roseland Crofts. Growing up in a large family, he was the fourth of 14 children. He left home when he turned 16 to work in circuses and sideshows under the stage name \"Idaho Lewis\" in order to support himself and his other siblings. Shortly after, he was offered a role in The Wizard of Oz as one of the Munchkin soldiers, which he accepted.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Bingham County"
]
},
"style": "rule"
}
|
{
"index": "168",
"interaction_kwargs": {
"full_context": [
"Document 1: Lewis Croft: Lewis Croft was born in Shelley, Idaho in 1919 to Samuel and Roseland Crofts. Growing up in a large family, he was the fourth of 14 children. He left home when he turned 16 to work in circuses and sideshows under the stage name \"Idaho Lewis\" in order to support himself and his other siblings. Shortly after, he was offered a role in The Wizard of Oz as one of the Munchkin soldiers, which he accepted.",
"Document 2: Shelley, Idaho: Shelley is a city in Bingham County, Idaho, United States. The population was 4,409 at the 2010 census. The mascot for the city's high school is a russet-burbank potato that wears a crown, robe and scepter."
],
"ground_truth": [
"Bingham County"
],
"name": "graph_construction",
"question": "What region is Lewis Croft's city of death located?",
"sub_queries": [
"In what city did Lewis Croft die? Answer: Shelley",
"Shelley >> located in the administrative territorial entity Answer: Bingham County"
],
"supporting_context": [
"Lewis Croft: Lewis Croft was born in Shelley, Idaho in 1919 to Samuel and Roseland Crofts. Growing up in a large family, he was the fourth of 14 children. He left home when he turned 16 to work in circuses and sideshows under the stage name \"Idaho Lewis\" in order to support himself and his other siblings. Shortly after, he was offered a role in The Wizard of Oz as one of the Munchkin soldiers, which he accepted.",
"Shelley, Idaho: Shelley is a city in Bingham County, Idaho, United States. The population was 4,409 at the 2010 census. The mascot for the city's high school is a russet-burbank potato that wears a crown, robe and scepter."
]
},
"need_tools_kwargs": false,
"question": "What region is Lewis Croft's city of death located?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: 2008 Summer Olympics torch relay: The noted Indian social activist and a retired Indian Police Service (IPS) officer Kiran Bedi refused to participate saying \"she doesn’t want to run in the event as ‘caged woman’.\" On April 15, Bollywood actress Soha Ali Khan pulled out of the Olympic torch relay, citing “very strong personal reasons”. On April 16, a protest was organised in Delhi \"against Chinese repression in Tibet\", and was broken up by the police.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Hindi"
]
},
"style": "rule"
}
|
{
"index": "169",
"interaction_kwargs": {
"full_context": [
"Document 1: 2008 Summer Olympics torch relay: The noted Indian social activist and a retired Indian Police Service (IPS) officer Kiran Bedi refused to participate saying \"she doesn’t want to run in the event as ‘caged woman’.\" On April 15, Bollywood actress Soha Ali Khan pulled out of the Olympic torch relay, citing “very strong personal reasons”. On April 16, a protest was organised in Delhi \"against Chinese repression in Tibet\", and was broken up by the police.",
"Document 2: Ahista Ahista (2006 film): Ahista Ahista (, translation: Slowly Slowly) is a Hindi film starring Abhay Deol, Soha Ali Khan and Shayan Munshi. It was released in August 2006. This film marks the directorial debut of Shivam Nair with a story much closer to the Fyodor Dostoevsky's short story, White Nights, on which an earlier Raj Kapoor film Chhalia was also based. Nair and Imtiaz Ali had earlier directed a telefilm for Star Bestsellers, with the same story."
],
"ground_truth": [
"Hindi"
],
"name": "graph_construction",
"question": "What language is spoken, written or signed by the actress who removed herself from participation in the relay?",
"sub_queries": [
"What actress removed herself from participation in the relay? Answer: Soha Ali Khan",
"Soha Ali Khan >> languages spoken, written or signed Answer: Hindi"
],
"supporting_context": [
"2008 Summer Olympics torch relay: The noted Indian social activist and a retired Indian Police Service (IPS) officer Kiran Bedi refused to participate saying \"she doesn’t want to run in the event as ‘caged woman’.\" On April 15, Bollywood actress Soha Ali Khan pulled out of the Olympic torch relay, citing “very strong personal reasons”. On April 16, a protest was organised in Delhi \"against Chinese repression in Tibet\", and was broken up by the police.",
"Ahista Ahista (2006 film): Ahista Ahista (, translation: Slowly Slowly) is a Hindi film starring Abhay Deol, Soha Ali Khan and Shayan Munshi. It was released in August 2006. This film marks the directorial debut of Shivam Nair with a story much closer to the Fyodor Dostoevsky's short story, White Nights, on which an earlier Raj Kapoor film Chhalia was also based. Nair and Imtiaz Ali had earlier directed a telefilm for Star Bestsellers, with the same story."
]
},
"need_tools_kwargs": false,
"question": "What language is spoken, written or signed by the actress who removed herself from participation in the relay?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Elimination Chamber (2018): Six matches were contested at the event, including one on the pre-show. In the main event, Roman Reigns won the first - ever seven - man Elimination Chamber match to become the number one contender against Brock Lesnar for the Universal Championship at WrestleMania 34. On the undercard, Alexa Bliss retained the Raw Women's Championship in the first - ever women's Elimination Chamber match, and Asuka defeated Nia Jax to extend her undefeated streak and to keep Jax from being added to her WrestleMania 34 championship match. The event was also notable for Ronda Rousey signing her Raw contract, where she had a confrontation with Chief Operating Officer Triple H and Raw Commissioner Stephanie McMahon, which was the former's first appearance since the night after Survivor Series.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"three"
]
},
"style": "rule"
}
|
{
"index": "170",
"interaction_kwargs": {
"full_context": [
"Document 1: Elimination Chamber (2018): Six matches were contested at the event, including one on the pre-show. In the main event, Roman Reigns won the first - ever seven - man Elimination Chamber match to become the number one contender against Brock Lesnar for the Universal Championship at WrestleMania 34. On the undercard, Alexa Bliss retained the Raw Women's Championship in the first - ever women's Elimination Chamber match, and Asuka defeated Nia Jax to extend her undefeated streak and to keep Jax from being added to her WrestleMania 34 championship match. The event was also notable for Ronda Rousey signing her Raw contract, where she had a confrontation with Chief Operating Officer Triple H and Raw Commissioner Stephanie McMahon, which was the former's first appearance since the night after Survivor Series.",
"Document 2: Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event."
],
"ground_truth": [
"three"
],
"name": "graph_construction",
"question": "How many WWE championships did the winner of the 2018 WWE elimination chamber win?",
"sub_queries": [
"who won the wwe elimination chamber in 2018 Answer: Roman Reigns",
"how many times did Roman Reigns win the wwe championship Answer: three"
],
"supporting_context": [
"Elimination Chamber (2018): Six matches were contested at the event, including one on the pre-show. In the main event, Roman Reigns won the first - ever seven - man Elimination Chamber match to become the number one contender against Brock Lesnar for the Universal Championship at WrestleMania 34. On the undercard, Alexa Bliss retained the Raw Women's Championship in the first - ever women's Elimination Chamber match, and Asuka defeated Nia Jax to extend her undefeated streak and to keep Jax from being added to her WrestleMania 34 championship match. The event was also notable for Ronda Rousey signing her Raw contract, where she had a confrontation with Chief Operating Officer Triple H and Raw Commissioner Stephanie McMahon, which was the former's first appearance since the night after Survivor Series.",
"Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event."
]
},
"need_tools_kwargs": false,
"question": "How many WWE championships did the winner of the 2018 WWE elimination chamber win?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Manuel John Johnson: He was born in Macao, China, the son of John William Roberts of the East India Company and was educated at Mr Styles' Classical Academy in Thames Ditton and at the Addiscombe Military Seminary for service in the East India Company (the HEIC).",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Leong Hong Man"
]
},
"style": "rule"
}
|
{
"index": "171",
"interaction_kwargs": {
"full_context": [
"Document 1: Manuel John Johnson: He was born in Macao, China, the son of John William Roberts of the East India Company and was educated at Mr Styles' Classical Academy in Thames Ditton and at the Addiscombe Military Seminary for service in the East India Company (the HEIC).",
"Document 2: 2008 Summer Olympics torch relay: Macao: The event was held in Macau on May 3. It was the first time that the Olympic torch had traveled to Macau. A ceremony was held at Macau Fisherman's Wharf. Afterward, the torch traveled through Macau, passing by a number of landmarks including A-Ma Temple, Macau Tower, Ponte Governador Nobre de Carvalho, Ponte de Sai Van, Macau Cultural Centre, Macau Stadium and then back to the Fisherman's Wharf for the closing ceremony. Parts of the route near Ruins of St. Paul's and Taipa was shortened due to large crowds of supporters blocking narrow streets. A total of 120 torchbearers participated in this event including casino tycoon Stanley Ho. Leong Hong Man and Leong Heng Teng were the first and last torchbearer in the relay respectively. An article published on Macao Daily News criticized that the list of the torchbearers could not fully represent the Macanese and that there were too many non-athletes among the torchbearers. (some of whom had already been torchbearers of other sporting events)"
],
"ground_truth": [
"Leong Hong Man"
],
"name": "graph_construction",
"question": "Who was the first person to carry the torch in Manuel John Johnson's birthplace?",
"sub_queries": [
"Manuel John Johnson >> place of birth Answer: Macao",
"Who was the first person to carry the torch in Macao ? Answer: Leong Hong Man"
],
"supporting_context": [
"Manuel John Johnson: He was born in Macao, China, the son of John William Roberts of the East India Company and was educated at Mr Styles' Classical Academy in Thames Ditton and at the Addiscombe Military Seminary for service in the East India Company (the HEIC).",
"2008 Summer Olympics torch relay: Macao: The event was held in Macau on May 3. It was the first time that the Olympic torch had traveled to Macau. A ceremony was held at Macau Fisherman's Wharf. Afterward, the torch traveled through Macau, passing by a number of landmarks including A-Ma Temple, Macau Tower, Ponte Governador Nobre de Carvalho, Ponte de Sai Van, Macau Cultural Centre, Macau Stadium and then back to the Fisherman's Wharf for the closing ceremony. Parts of the route near Ruins of St. Paul's and Taipa was shortened due to large crowds of supporters blocking narrow streets. A total of 120 torchbearers participated in this event including casino tycoon Stanley Ho. Leong Hong Man and Leong Heng Teng were the first and last torchbearer in the relay respectively. An article published on Macao Daily News criticized that the list of the torchbearers could not fully represent the Macanese and that there were too many non-athletes among the torchbearers. (some of whom had already been torchbearers of other sporting events)"
]
},
"need_tools_kwargs": false,
"question": "Who was the first person to carry the torch in Manuel John Johnson's birthplace?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Elimination Chamber (2018): Six matches were contested at the event, including one on the pre-show. In the main event, Roman Reigns won the first - ever seven - man Elimination Chamber match to become the number one contender against Brock Lesnar for the Universal Championship at WrestleMania 34. On the undercard, Alexa Bliss retained the Raw Women's Championship in the first - ever women's Elimination Chamber match, and Asuka defeated Nia Jax to extend her undefeated streak and to keep Jax from being added to her WrestleMania 34 championship match. The event was also notable for Ronda Rousey signing her Raw contract, where she had a confrontation with Chief Operating Officer Triple H and Raw Commissioner Stephanie McMahon, which was the former's first appearance since the night after Survivor Series.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"three"
]
},
"style": "rule"
}
|
{
"index": "172",
"interaction_kwargs": {
"full_context": [
"Document 1: Elimination Chamber (2018): Six matches were contested at the event, including one on the pre-show. In the main event, Roman Reigns won the first - ever seven - man Elimination Chamber match to become the number one contender against Brock Lesnar for the Universal Championship at WrestleMania 34. On the undercard, Alexa Bliss retained the Raw Women's Championship in the first - ever women's Elimination Chamber match, and Asuka defeated Nia Jax to extend her undefeated streak and to keep Jax from being added to her WrestleMania 34 championship match. The event was also notable for Ronda Rousey signing her Raw contract, where she had a confrontation with Chief Operating Officer Triple H and Raw Commissioner Stephanie McMahon, which was the former's first appearance since the night after Survivor Series.",
"Document 2: Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event."
],
"ground_truth": [
"three"
],
"name": "graph_construction",
"question": "How many times did the winner of the 2018 WWE Elimination Chamber win the WWE championship?",
"sub_queries": [
"who won in the wwe elimination chamber 2018 Answer: Roman Reigns",
"how many times did Roman Reigns win the wwe championship Answer: three"
],
"supporting_context": [
"Elimination Chamber (2018): Six matches were contested at the event, including one on the pre-show. In the main event, Roman Reigns won the first - ever seven - man Elimination Chamber match to become the number one contender against Brock Lesnar for the Universal Championship at WrestleMania 34. On the undercard, Alexa Bliss retained the Raw Women's Championship in the first - ever women's Elimination Chamber match, and Asuka defeated Nia Jax to extend her undefeated streak and to keep Jax from being added to her WrestleMania 34 championship match. The event was also notable for Ronda Rousey signing her Raw contract, where she had a confrontation with Chief Operating Officer Triple H and Raw Commissioner Stephanie McMahon, which was the former's first appearance since the night after Survivor Series.",
"Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event."
]
},
"need_tools_kwargs": false,
"question": "How many times did the winner of the 2018 WWE Elimination Chamber win the WWE championship?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Ahista Ahista (2006 film): Ahista Ahista (, translation: Slowly Slowly) is a Hindi film starring Abhay Deol, Soha Ali Khan and Shayan Munshi. It was released in August 2006. This film marks the directorial debut of Shivam Nair with a story much closer to the Fyodor Dostoevsky's short story, White Nights, on which an earlier Raj Kapoor film Chhalia was also based. Nair and Imtiaz Ali had earlier directed a telefilm for Star Bestsellers, with the same story.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Hindi"
]
},
"style": "rule"
}
|
{
"index": "173",
"interaction_kwargs": {
"full_context": [
"Document 1: Ahista Ahista (2006 film): Ahista Ahista (, translation: Slowly Slowly) is a Hindi film starring Abhay Deol, Soha Ali Khan and Shayan Munshi. It was released in August 2006. This film marks the directorial debut of Shivam Nair with a story much closer to the Fyodor Dostoevsky's short story, White Nights, on which an earlier Raj Kapoor film Chhalia was also based. Nair and Imtiaz Ali had earlier directed a telefilm for Star Bestsellers, with the same story.",
"Document 2: 2008 Summer Olympics torch relay: The noted Indian social activist and a retired Indian Police Service (IPS) officer Kiran Bedi refused to participate saying \"she doesn’t want to run in the event as ‘caged woman’.\" On April 15, Bollywood actress Soha Ali Khan pulled out of the Olympic torch relay, citing “very strong personal reasons”. On April 16, a protest was organised in Delhi \"against Chinese repression in Tibet\", and was broken up by the police."
],
"ground_truth": [
"Hindi"
],
"name": "graph_construction",
"question": "what language is spoken by the actress who decided not to participate in April 15?",
"sub_queries": [
"Which actress decided to not participate on April 15? Answer: Soha Ali Khan",
"Soha Ali Khan >> languages spoken, written or signed Answer: Hindi"
],
"supporting_context": [
"Ahista Ahista (2006 film): Ahista Ahista (, translation: Slowly Slowly) is a Hindi film starring Abhay Deol, Soha Ali Khan and Shayan Munshi. It was released in August 2006. This film marks the directorial debut of Shivam Nair with a story much closer to the Fyodor Dostoevsky's short story, White Nights, on which an earlier Raj Kapoor film Chhalia was also based. Nair and Imtiaz Ali had earlier directed a telefilm for Star Bestsellers, with the same story.",
"2008 Summer Olympics torch relay: The noted Indian social activist and a retired Indian Police Service (IPS) officer Kiran Bedi refused to participate saying \"she doesn’t want to run in the event as ‘caged woman’.\" On April 15, Bollywood actress Soha Ali Khan pulled out of the Olympic torch relay, citing “very strong personal reasons”. On April 16, a protest was organised in Delhi \"against Chinese repression in Tibet\", and was broken up by the police."
]
},
"need_tools_kwargs": false,
"question": "what language is spoken by the actress who decided not to participate in April 15?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Elimination Chamber (2018): No. Results Stipulations Times Luke Gallows and Karl Anderson defeated The Miztourage (Bo Dallas and Curtis Axel) Tag team match 8: 50 Alexa Bliss (c) defeated Sasha Banks, Bayley, Mickie James, Sonya Deville, and Mandy Rose Elimination Chamber match for the WWE Raw Women's Championship 29: 35 Cesaro and Sheamus (c) defeated Titus Worldwide (Apollo and Titus O'Neil) (with Dana Brooke) Tag team match for the WWE Raw Tag Team Championship 10: 05 Asuka defeated Nia Jax Singles match; Had Jax won, she would have been added to Asuka's championship match at WrestleMania 34 8: 15 5 Matt Hardy defeated Bray Wyatt Singles match 9: 55 6 Roman Reigns defeated Braun Strowman, Seth Rollins, Finn Bálor, John Cena, Elias, and The Miz Elimination Chamber match for a WWE Universal Championship match at WrestleMania 34 40: 15 (c) -- refers to the champion (s) heading into the match P -- indicates the match took place on the pre-show",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"three"
]
},
"style": "rule"
}
|
{
"index": "174",
"interaction_kwargs": {
"full_context": [
"Document 1: Elimination Chamber (2018): No. Results Stipulations Times Luke Gallows and Karl Anderson defeated The Miztourage (Bo Dallas and Curtis Axel) Tag team match 8: 50 Alexa Bliss (c) defeated Sasha Banks, Bayley, Mickie James, Sonya Deville, and Mandy Rose Elimination Chamber match for the WWE Raw Women's Championship 29: 35 Cesaro and Sheamus (c) defeated Titus Worldwide (Apollo and Titus O'Neil) (with Dana Brooke) Tag team match for the WWE Raw Tag Team Championship 10: 05 Asuka defeated Nia Jax Singles match; Had Jax won, she would have been added to Asuka's championship match at WrestleMania 34 8: 15 5 Matt Hardy defeated Bray Wyatt Singles match 9: 55 6 Roman Reigns defeated Braun Strowman, Seth Rollins, Finn Bálor, John Cena, Elias, and The Miz Elimination Chamber match for a WWE Universal Championship match at WrestleMania 34 40: 15 (c) -- refers to the champion (s) heading into the match P -- indicates the match took place on the pre-show",
"Document 2: Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event."
],
"ground_truth": [
"three"
],
"name": "graph_construction",
"question": "How many times did the winner of the 7 man elimination chamber match win the WWE championship?",
"sub_queries": [
"who won the 7 man elimination chamber match Answer: Roman Reigns",
"how many times did Roman Reigns win the wwe championship Answer: three"
],
"supporting_context": [
"Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event.",
"Elimination Chamber (2018): No. Results Stipulations Times Luke Gallows and Karl Anderson defeated The Miztourage (Bo Dallas and Curtis Axel) Tag team match 8: 50 Alexa Bliss (c) defeated Sasha Banks, Bayley, Mickie James, Sonya Deville, and Mandy Rose Elimination Chamber match for the WWE Raw Women's Championship 29: 35 Cesaro and Sheamus (c) defeated Titus Worldwide (Apollo and Titus O'Neil) (with Dana Brooke) Tag team match for the WWE Raw Tag Team Championship 10: 05 Asuka defeated Nia Jax Singles match; Had Jax won, she would have been added to Asuka's championship match at WrestleMania 34 8: 15 5 Matt Hardy defeated Bray Wyatt Singles match 9: 55 6 Roman Reigns defeated Braun Strowman, Seth Rollins, Finn Bálor, John Cena, Elias, and The Miz Elimination Chamber match for a WWE Universal Championship match at WrestleMania 34 40: 15 (c) -- refers to the champion (s) heading into the match P -- indicates the match took place on the pre-show"
]
},
"need_tools_kwargs": false,
"question": "How many times did the winner of the 7 man elimination chamber match win the WWE championship?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"three"
]
},
"style": "rule"
}
|
{
"index": "175",
"interaction_kwargs": {
"full_context": [
"Document 1: Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event.",
"Document 2: Elimination Chamber (2018): Six matches were contested at the event, including one on the pre-show. In the main event, Roman Reigns won the first - ever seven - man Elimination Chamber match to become the number one contender against Brock Lesnar for the Universal Championship at WrestleMania 34. On the undercard, Alexa Bliss retained the Raw Women's Championship in the first - ever women's Elimination Chamber match, and Asuka defeated Nia Jax to extend her undefeated streak and to keep Jax from being added to her WrestleMania 34 championship match. The event was also notable for Ronda Rousey signing her Raw contract, where she had a confrontation with Chief Operating Officer Triple H and Raw Commissioner Stephanie McMahon, which was the former's first appearance since the night after Survivor Series."
],
"ground_truth": [
"three"
],
"name": "graph_construction",
"question": "How many times has the wrestler who won the WWE Elimination Chamber in 2018, won the WWE Championship?",
"sub_queries": [
"who won the wwe championship elimination chamber 2018 Answer: Roman Reigns",
"how many times did Roman Reigns win the wwe championship Answer: three"
],
"supporting_context": [
"Elimination Chamber (2018): Six matches were contested at the event, including one on the pre-show. In the main event, Roman Reigns won the first - ever seven - man Elimination Chamber match to become the number one contender against Brock Lesnar for the Universal Championship at WrestleMania 34. On the undercard, Alexa Bliss retained the Raw Women's Championship in the first - ever women's Elimination Chamber match, and Asuka defeated Nia Jax to extend her undefeated streak and to keep Jax from being added to her WrestleMania 34 championship match. The event was also notable for Ronda Rousey signing her Raw contract, where she had a confrontation with Chief Operating Officer Triple H and Raw Commissioner Stephanie McMahon, which was the former's first appearance since the night after Survivor Series.",
"Roman Reigns: Anoaʻi then pursued a career in professional wrestling and was signed by WWE in 2010, reporting to their developmental territory Florida Championship Wrestling (FCW). As Roman Reigns, he made his main roster debut in November 2012 alongside Dean Ambrose and Seth Rollins as The Shield. The trio teamed together until June 2014, after which Reigns entered singles competition. Reigns is a three - time WWE World Heavyweight Champion, a one - time United States Champion, a one - time WWE Tag Team Champion (with Rollins), the 2015 Royal Rumble winner and the 2014 Superstar of the Year. He also tied the WWE record for most eliminations in a Survivor Series elimination match with four in the 2013 event and set the record for most eliminations in a Royal Rumble match with 12 in the 2014 event."
]
},
"need_tools_kwargs": false,
"question": "How many times has the wrestler who won the WWE Elimination Chamber in 2018, won the WWE Championship?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Emanuelle in America: Emanuelle in America is a 1977 Italian sexploitation film, the third in a series starring Laura Gemser made to cash in on the success of the French film \"Emmanuelle\" (1974) and its sequels. It was the second in the series to be directed by Joe D'Amato. It is infamous for its \"hardcore footage of unsimulated fellatio, penetration, ejaculation and unconventional horse husbandry\".",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Italian"
]
},
"style": "rule"
}
|
{
"index": "176",
"interaction_kwargs": {
"full_context": [
"Document 1: Emanuelle in America: Emanuelle in America is a 1977 Italian sexploitation film, the third in a series starring Laura Gemser made to cash in on the success of the French film \"Emmanuelle\" (1974) and its sequels. It was the second in the series to be directed by Joe D'Amato. It is infamous for its \"hardcore footage of unsimulated fellatio, penetration, ejaculation and unconventional horse husbandry\".",
"Document 2: Emanuelle and the White Slave Trade: \"Emanuelle and the White Slave Trade\" features the investigative journalist character known to her readers as 'Emanuelle' (Laura Gemser). Like most films directed or produced by Joe D'Amato, it is an attempt to capitalise on the commercial success of another film - in this case the 1977 film \"The French Woman\" (). The film is one of the Black Emanuelle films with the heaviest censorship, eight minutes cut in a theatrical release."
],
"ground_truth": [
"Italian"
],
"name": "graph_construction",
"question": "What language is used by the cast member of Emanuelle and the White Slave Trade?",
"sub_queries": [
"Who is in Emanuelle and the White Slave Trade as a cast member? Answer: Laura Gemser",
"Laura Gemser >> languages spoken, written or signed Answer: Italian"
],
"supporting_context": [
"Emanuelle in America: Emanuelle in America is a 1977 Italian sexploitation film, the third in a series starring Laura Gemser made to cash in on the success of the French film \"Emmanuelle\" (1974) and its sequels. It was the second in the series to be directed by Joe D'Amato. It is infamous for its \"hardcore footage of unsimulated fellatio, penetration, ejaculation and unconventional horse husbandry\".",
"Emanuelle and the White Slave Trade: \"Emanuelle and the White Slave Trade\" features the investigative journalist character known to her readers as 'Emanuelle' (Laura Gemser). Like most films directed or produced by Joe D'Amato, it is an attempt to capitalise on the commercial success of another film - in this case the 1977 film \"The French Woman\" (). The film is one of the Black Emanuelle films with the heaviest censorship, eight minutes cut in a theatrical release."
]
},
"need_tools_kwargs": false,
"question": "What language is used by the cast member of Emanuelle and the White Slave Trade?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Ball State University: Ball State is classified by the Carnegie Classification of Institutions of Higher Education as a doctoral university: higher research activity. The university is composed of eight academic colleges. As of 2017, total enrollment was 22,513 students, including 17,004 undergraduates and 5,509 postgraduates. The university offers about 190 undergraduate majors and 130 minor areas of study and more than 140 master's, doctoral, certificate, and specialist degrees. There are more than 400 student organizations and clubs on campus, including 34 fraternities and sororities. Ball State athletic teams compete in Division I of the NCAA and are known as the Ball State Cardinals. The university is a member of the Mid-American Conference and the Midwestern Intercollegiate Volleyball Association.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"22,513 students"
]
},
"style": "rule"
}
|
{
"index": "177",
"interaction_kwargs": {
"full_context": [
"Document 1: Ball State University: Ball State is classified by the Carnegie Classification of Institutions of Higher Education as a doctoral university: higher research activity. The university is composed of eight academic colleges. As of 2017, total enrollment was 22,513 students, including 17,004 undergraduates and 5,509 postgraduates. The university offers about 190 undergraduate majors and 130 minor areas of study and more than 140 master's, doctoral, certificate, and specialist degrees. There are more than 400 student organizations and clubs on campus, including 34 fraternities and sororities. Ball State athletic teams compete in Division I of the NCAA and are known as the Ball State Cardinals. The university is a member of the Mid-American Conference and the Midwestern Intercollegiate Volleyball Association.",
"Document 2: Beneficence (statue): Beneficence is a bronze statue on the campus of Ball State University, located in Muncie, Indiana. The statue is referred to as Benny by students."
],
"ground_truth": [
"22,513 students"
],
"name": "graph_construction",
"question": "What is the enrollment at the owner of Benficence?",
"sub_queries": [
"Beneficence >> owned by Answer: Ball State University",
"what is the enrollment at Ball State University Answer: 22,513 students"
],
"supporting_context": [
"Ball State University: Ball State is classified by the Carnegie Classification of Institutions of Higher Education as a doctoral university: higher research activity. The university is composed of eight academic colleges. As of 2017, total enrollment was 22,513 students, including 17,004 undergraduates and 5,509 postgraduates. The university offers about 190 undergraduate majors and 130 minor areas of study and more than 140 master's, doctoral, certificate, and specialist degrees. There are more than 400 student organizations and clubs on campus, including 34 fraternities and sororities. Ball State athletic teams compete in Division I of the NCAA and are known as the Ball State Cardinals. The university is a member of the Mid-American Conference and the Midwestern Intercollegiate Volleyball Association.",
"Beneficence (statue): Beneficence is a bronze statue on the campus of Ball State University, located in Muncie, Indiana. The statue is referred to as Benny by students."
]
},
"need_tools_kwargs": false,
"question": "What is the enrollment at the owner of Benficence?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Ball State University: Ball State is classified by the Carnegie Classification of Institutions of Higher Education as a doctoral university: higher research activity. The university is composed of eight academic colleges. As of 2017, total enrollment was 22,513 students, including 17,004 undergraduates and 5,509 postgraduates. The university offers about 190 undergraduate majors and 130 minor areas of study and more than 140 master's, doctoral, certificate, and specialist degrees. There are more than 400 student organizations and clubs on campus, including 34 fraternities and sororities. Ball State athletic teams compete in Division I of the NCAA and are known as the Ball State Cardinals. The university is a member of the Mid-American Conference and the Midwestern Intercollegiate Volleyball Association.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"22,513 students"
]
},
"style": "rule"
}
|
{
"index": "178",
"interaction_kwargs": {
"full_context": [
"Document 1: Ball State University: Ball State is classified by the Carnegie Classification of Institutions of Higher Education as a doctoral university: higher research activity. The university is composed of eight academic colleges. As of 2017, total enrollment was 22,513 students, including 17,004 undergraduates and 5,509 postgraduates. The university offers about 190 undergraduate majors and 130 minor areas of study and more than 140 master's, doctoral, certificate, and specialist degrees. There are more than 400 student organizations and clubs on campus, including 34 fraternities and sororities. Ball State athletic teams compete in Division I of the NCAA and are known as the Ball State Cardinals. The university is a member of the Mid-American Conference and the Midwestern Intercollegiate Volleyball Association.",
"Document 2: Beneficence (statue): Beneficence is a bronze statue on the campus of Ball State University, located in Muncie, Indiana. The statue is referred to as Benny by students."
],
"ground_truth": [
"22,513 students"
],
"name": "graph_construction",
"question": "What is the enrollment at the university where Beneficence is located?",
"sub_queries": [
"Beneficence >> location Answer: Ball State University",
"what is the enrollment at Ball State University Answer: 22,513 students"
],
"supporting_context": [
"Ball State University: Ball State is classified by the Carnegie Classification of Institutions of Higher Education as a doctoral university: higher research activity. The university is composed of eight academic colleges. As of 2017, total enrollment was 22,513 students, including 17,004 undergraduates and 5,509 postgraduates. The university offers about 190 undergraduate majors and 130 minor areas of study and more than 140 master's, doctoral, certificate, and specialist degrees. There are more than 400 student organizations and clubs on campus, including 34 fraternities and sororities. Ball State athletic teams compete in Division I of the NCAA and are known as the Ball State Cardinals. The university is a member of the Mid-American Conference and the Midwestern Intercollegiate Volleyball Association.",
"Beneficence (statue): Beneficence is a bronze statue on the campus of Ball State University, located in Muncie, Indiana. The statue is referred to as Benny by students."
]
},
"need_tools_kwargs": false,
"question": "What is the enrollment at the university where Beneficence is located?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: James Dearden: James Dearden (born 14 September 1949) is an English film director and screenwriter, the son of Scottish actress Melissa Stribling and acclaimed English film maker Basil Dearden. He directed seven films between 1977 and 1999. His film \"Pascali's Island\" was entered into the 1988 Cannes Film Festival. Dearden is married to British actress Annabel Brooks.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Melissa Stribling"
]
},
"style": "rule"
}
|
{
"index": "179",
"interaction_kwargs": {
"full_context": [
"Document 1: James Dearden: James Dearden (born 14 September 1949) is an English film director and screenwriter, the son of Scottish actress Melissa Stribling and acclaimed English film maker Basil Dearden. He directed seven films between 1977 and 1999. His film \"Pascali's Island\" was entered into the 1988 Cannes Film Festival. Dearden is married to British actress Annabel Brooks.",
"Document 2: Fatal Attraction (play): Fatal Attraction is a 2014 play adapted from his original screenplay by James Dearden. It is based on the 1987 film \"Fatal Attraction\", and it opened in London's West End at the Theatre Royal Haymarket on 25 March 2014, following previews from 8 March."
],
"ground_truth": [
"Melissa Stribling"
],
"name": "graph_construction",
"question": "Who is the mother of the screenwriter of Fatal Attraction?",
"sub_queries": [
"Fatal Attraction >> screenwriter Answer: James Dearden",
"Who is the mother of James Dearden ? Answer: Melissa Stribling"
],
"supporting_context": [
"Fatal Attraction (play): Fatal Attraction is a 2014 play adapted from his original screenplay by James Dearden. It is based on the 1987 film \"Fatal Attraction\", and it opened in London's West End at the Theatre Royal Haymarket on 25 March 2014, following previews from 8 March.",
"James Dearden: James Dearden (born 14 September 1949) is an English film director and screenwriter, the son of Scottish actress Melissa Stribling and acclaimed English film maker Basil Dearden. He directed seven films between 1977 and 1999. His film \"Pascali's Island\" was entered into the 1988 Cannes Film Festival. Dearden is married to British actress Annabel Brooks."
]
},
"need_tools_kwargs": false,
"question": "Who is the mother of the screenwriter of Fatal Attraction?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: W (Planningtorock album): W is the second solo studio album by English recording artist Planningtorock, released on 23 May 2011 by Rostron Records and DFA Records.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2001"
]
},
"style": "rule"
}
|
{
"index": "180",
"interaction_kwargs": {
"full_context": [
"Document 1: W (Planningtorock album): W is the second solo studio album by English recording artist Planningtorock, released on 23 May 2011 by Rostron Records and DFA Records.",
"Document 2: DFA Records: DFA Records is an American independent record label founded in 2001 by Mo' Wax co-founder Tim Goldsworthy, musician James Murphy, and manager Jonathan Galkin. They previously had a production team called The DFA, consisting of Goldsworthy and Murphy."
],
"ground_truth": [
"2001"
],
"name": "graph_construction",
"question": "When was the inception of the record label which released W?",
"sub_queries": [
"W >> record label Answer: DFA Records",
"When was the inception of DFA Records ? Answer: 2001"
],
"supporting_context": [
"W (Planningtorock album): W is the second solo studio album by English recording artist Planningtorock, released on 23 May 2011 by Rostron Records and DFA Records.",
"DFA Records: DFA Records is an American independent record label founded in 2001 by Mo' Wax co-founder Tim Goldsworthy, musician James Murphy, and manager Jonathan Galkin. They previously had a production team called The DFA, consisting of Goldsworthy and Murphy."
]
},
"need_tools_kwargs": false,
"question": "When was the inception of the record label which released W?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: James Dearden: James Dearden (born 14 September 1949) is an English film director and screenwriter, the son of Scottish actress Melissa Stribling and acclaimed English film maker Basil Dearden. He directed seven films between 1977 and 1999. His film \"Pascali's Island\" was entered into the 1988 Cannes Film Festival. Dearden is married to British actress Annabel Brooks.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Melissa Stribling"
]
},
"style": "rule"
}
|
{
"index": "181",
"interaction_kwargs": {
"full_context": [
"Document 1: James Dearden: James Dearden (born 14 September 1949) is an English film director and screenwriter, the son of Scottish actress Melissa Stribling and acclaimed English film maker Basil Dearden. He directed seven films between 1977 and 1999. His film \"Pascali's Island\" was entered into the 1988 Cannes Film Festival. Dearden is married to British actress Annabel Brooks.",
"Document 2: Rogue Trader (film): Rogue Trader is a 1999 British biographical drama film written and directed by James Dearden and starring Ewan McGregor and Anna Friel. The film centers in the life of former derivatives broker Nick Leeson and the 1995 collapse of Barings Bank. It was based on Leeson's 1996 book \"Rogue Trader: How I Brought Down Barings Bank and Shook the Financial World\"."
],
"ground_truth": [
"Melissa Stribling"
],
"name": "graph_construction",
"question": "Who is the mother of the director of Rogue Trader?",
"sub_queries": [
"Rogue Trader >> director Answer: James Dearden",
"Who is the mother of James Dearden ? Answer: Melissa Stribling"
],
"supporting_context": [
"James Dearden: James Dearden (born 14 September 1949) is an English film director and screenwriter, the son of Scottish actress Melissa Stribling and acclaimed English film maker Basil Dearden. He directed seven films between 1977 and 1999. His film \"Pascali's Island\" was entered into the 1988 Cannes Film Festival. Dearden is married to British actress Annabel Brooks.",
"Rogue Trader (film): Rogue Trader is a 1999 British biographical drama film written and directed by James Dearden and starring Ewan McGregor and Anna Friel. The film centers in the life of former derivatives broker Nick Leeson and the 1995 collapse of Barings Bank. It was based on Leeson's 1996 book \"Rogue Trader: How I Brought Down Barings Bank and Shook the Financial World\"."
]
},
"need_tools_kwargs": false,
"question": "Who is the mother of the director of Rogue Trader?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: DFA Records: DFA Records is an American independent record label founded in 2001 by Mo' Wax co-founder Tim Goldsworthy, musician James Murphy, and manager Jonathan Galkin. They previously had a production team called The DFA, consisting of Goldsworthy and Murphy.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2001"
]
},
"style": "rule"
}
|
{
"index": "182",
"interaction_kwargs": {
"full_context": [
"Document 1: DFA Records: DFA Records is an American independent record label founded in 2001 by Mo' Wax co-founder Tim Goldsworthy, musician James Murphy, and manager Jonathan Galkin. They previously had a production team called The DFA, consisting of Goldsworthy and Murphy.",
"Document 2: W (Planningtorock album): W is the second solo studio album by English recording artist Planningtorock, released on 23 May 2011 by Rostron Records and DFA Records."
],
"ground_truth": [
"2001"
],
"name": "graph_construction",
"question": "When was the inception of the record label of Planningtorock?",
"sub_queries": [
"Planningtorock >> record label Answer: DFA Records",
"When was the inception of DFA Records ? Answer: 2001"
],
"supporting_context": [
"W (Planningtorock album): W is the second solo studio album by English recording artist Planningtorock, released on 23 May 2011 by Rostron Records and DFA Records.",
"DFA Records: DFA Records is an American independent record label founded in 2001 by Mo' Wax co-founder Tim Goldsworthy, musician James Murphy, and manager Jonathan Galkin. They previously had a production team called The DFA, consisting of Goldsworthy and Murphy."
]
},
"need_tools_kwargs": false,
"question": "When was the inception of the record label of Planningtorock?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Frog Baby Fountain (Ball State University): \"Frog Baby\" Fountain is a statue set in the middle of a fountain on the Ball State University campus. It is known as a sign of good luck and is a popular meeting place. The \"Frog Baby\" statue was cast by Edith Barretto Stevens Parsons in 1937 and has been moved several times prior to becoming what it is known as today. Frank C. Ball donated the statue to the university and it remained in the Ball State University Museum of Art until it became damaged by excessive rubbing by students, and was then packed away. In 1993, \"Frog Baby\" was restored and placed in a fountain where it resides today. The fountain is dedicated to Alexander Bracken, the son-in-law of Frank C. Ball, who was responsible for Ball State's rapid growth after World War II.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"22,513 students"
]
},
"style": "rule"
}
|
{
"index": "183",
"interaction_kwargs": {
"full_context": [
"Document 1: Frog Baby Fountain (Ball State University): \"Frog Baby\" Fountain is a statue set in the middle of a fountain on the Ball State University campus. It is known as a sign of good luck and is a popular meeting place. The \"Frog Baby\" statue was cast by Edith Barretto Stevens Parsons in 1937 and has been moved several times prior to becoming what it is known as today. Frank C. Ball donated the statue to the university and it remained in the Ball State University Museum of Art until it became damaged by excessive rubbing by students, and was then packed away. In 1993, \"Frog Baby\" was restored and placed in a fountain where it resides today. The fountain is dedicated to Alexander Bracken, the son-in-law of Frank C. Ball, who was responsible for Ball State's rapid growth after World War II.",
"Document 2: Ball State University: Ball State is classified by the Carnegie Classification of Institutions of Higher Education as a doctoral university: higher research activity. The university is composed of eight academic colleges. As of 2017, total enrollment was 22,513 students, including 17,004 undergraduates and 5,509 postgraduates. The university offers about 190 undergraduate majors and 130 minor areas of study and more than 140 master's, doctoral, certificate, and specialist degrees. There are more than 400 student organizations and clubs on campus, including 34 fraternities and sororities. Ball State athletic teams compete in Division I of the NCAA and are known as the Ball State Cardinals. The university is a member of the Mid-American Conference and the Midwestern Intercollegiate Volleyball Association."
],
"ground_truth": [
"22,513 students"
],
"name": "graph_construction",
"question": "What is the enrolment at the university where Frog Baby Fountain is located?",
"sub_queries": [
"Frog Baby Fountain >> owned by Answer: Ball State University",
"what is the enrollment at Ball State University Answer: 22,513 students"
],
"supporting_context": [
"Frog Baby Fountain (Ball State University): \"Frog Baby\" Fountain is a statue set in the middle of a fountain on the Ball State University campus. It is known as a sign of good luck and is a popular meeting place. The \"Frog Baby\" statue was cast by Edith Barretto Stevens Parsons in 1937 and has been moved several times prior to becoming what it is known as today. Frank C. Ball donated the statue to the university and it remained in the Ball State University Museum of Art until it became damaged by excessive rubbing by students, and was then packed away. In 1993, \"Frog Baby\" was restored and placed in a fountain where it resides today. The fountain is dedicated to Alexander Bracken, the son-in-law of Frank C. Ball, who was responsible for Ball State's rapid growth after World War II.",
"Ball State University: Ball State is classified by the Carnegie Classification of Institutions of Higher Education as a doctoral university: higher research activity. The university is composed of eight academic colleges. As of 2017, total enrollment was 22,513 students, including 17,004 undergraduates and 5,509 postgraduates. The university offers about 190 undergraduate majors and 130 minor areas of study and more than 140 master's, doctoral, certificate, and specialist degrees. There are more than 400 student organizations and clubs on campus, including 34 fraternities and sororities. Ball State athletic teams compete in Division I of the NCAA and are known as the Ball State Cardinals. The university is a member of the Mid-American Conference and the Midwestern Intercollegiate Volleyball Association."
]
},
"need_tools_kwargs": false,
"question": "What is the enrolment at the university where Frog Baby Fountain is located?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Queen Victoria: On 14 January 1858, an Italian refugee from Britain called Orsini attempted to assassinate Napoleon III with a bomb made in England. The ensuing diplomatic crisis destabilised the government, and Palmerston resigned. Derby was reinstated as prime minister. Victoria and Albert attended the opening of a new basin at the French military port of Cherbourg on 5 August 1858, in an attempt by Napoleon III to reassure Britain that his military preparations were directed elsewhere. On her return Victoria wrote to Derby reprimanding him for the poor state of the Royal Navy in comparison to the French one. Derby's ministry did not last long, and in June 1859 Victoria recalled Palmerston to office.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1865"
]
},
"style": "rule"
}
|
{
"index": "184",
"interaction_kwargs": {
"full_context": [
"Document 1: Queen Victoria: On 14 January 1858, an Italian refugee from Britain called Orsini attempted to assassinate Napoleon III with a bomb made in England. The ensuing diplomatic crisis destabilised the government, and Palmerston resigned. Derby was reinstated as prime minister. Victoria and Albert attended the opening of a new basin at the French military port of Cherbourg on 5 August 1858, in an attempt by Napoleon III to reassure Britain that his military preparations were directed elsewhere. On her return Victoria wrote to Derby reprimanding him for the poor state of the Royal Navy in comparison to the French one. Derby's ministry did not last long, and in June 1859 Victoria recalled Palmerston to office.",
"Document 2: Queen Victoria: Palmerston died in 1865, and after a brief ministry led by Russell, Derby returned to power. In 1866, Victoria attended the State Opening of Parliament for the first time since Albert's death. The following year she supported the passing of the Reform Act 1867 which doubled the electorate by extending the franchise to many urban working men, though she was not in favour of votes for women. Derby resigned in 1868, to be replaced by Benjamin Disraeli, who charmed Victoria. \"Everyone likes flattery,\" he said, \"and when you come to royalty you should lay it on with a trowel.\" With the phrase \"we authors, Ma'am\", he complimented her. Disraeli's ministry only lasted a matter of months, and at the end of the year his Liberal rival, William Ewart Gladstone, was appointed prime minister. Victoria found Gladstone's demeanour far less appealing; he spoke to her, she is thought to have complained, as though she were \"a public meeting rather than a woman\"."
],
"ground_truth": [
"1865"
],
"name": "graph_construction",
"question": "When did the person who resigned due to the attempt on Napoleon's life die?",
"sub_queries": [
"Who resigned due to the attempt on Napoleons life? Answer: Palmerston",
"When did Palmerston die? Answer: 1865"
],
"supporting_context": [
"Queen Victoria: Palmerston died in 1865, and after a brief ministry led by Russell, Derby returned to power. In 1866, Victoria attended the State Opening of Parliament for the first time since Albert's death. The following year she supported the passing of the Reform Act 1867 which doubled the electorate by extending the franchise to many urban working men, though she was not in favour of votes for women. Derby resigned in 1868, to be replaced by Benjamin Disraeli, who charmed Victoria. \"Everyone likes flattery,\" he said, \"and when you come to royalty you should lay it on with a trowel.\" With the phrase \"we authors, Ma'am\", he complimented her. Disraeli's ministry only lasted a matter of months, and at the end of the year his Liberal rival, William Ewart Gladstone, was appointed prime minister. Victoria found Gladstone's demeanour far less appealing; he spoke to her, she is thought to have complained, as though she were \"a public meeting rather than a woman\".",
"Queen Victoria: On 14 January 1858, an Italian refugee from Britain called Orsini attempted to assassinate Napoleon III with a bomb made in England. The ensuing diplomatic crisis destabilised the government, and Palmerston resigned. Derby was reinstated as prime minister. Victoria and Albert attended the opening of a new basin at the French military port of Cherbourg on 5 August 1858, in an attempt by Napoleon III to reassure Britain that his military preparations were directed elsewhere. On her return Victoria wrote to Derby reprimanding him for the poor state of the Royal Navy in comparison to the French one. Derby's ministry did not last long, and in June 1859 Victoria recalled Palmerston to office."
]
},
"need_tools_kwargs": false,
"question": "When did the person who resigned due to the attempt on Napoleon's life die?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: DFA Records: DFA Records is an American independent record label founded in 2001 by Mo' Wax co-founder Tim Goldsworthy, musician James Murphy, and manager Jonathan Galkin. They previously had a production team called The DFA, consisting of Goldsworthy and Murphy.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2001"
]
},
"style": "rule"
}
|
{
"index": "185",
"interaction_kwargs": {
"full_context": [
"Document 1: DFA Records: DFA Records is an American independent record label founded in 2001 by Mo' Wax co-founder Tim Goldsworthy, musician James Murphy, and manager Jonathan Galkin. They previously had a production team called The DFA, consisting of Goldsworthy and Murphy.",
"Document 2: Factory Floor (album): Factory Floor is the debut studio album by English electronic music band Factory Floor, released on 6 September 2013 by DFA Records. The band produced and recorded the album in Mono House, their North London warehouse."
],
"ground_truth": [
"2001"
],
"name": "graph_construction",
"question": "When was the record label of Factory Floor established?",
"sub_queries": [
"Factory Floor >> record label Answer: DFA Records",
"When was the inception of DFA Records ? Answer: 2001"
],
"supporting_context": [
"Factory Floor (album): Factory Floor is the debut studio album by English electronic music band Factory Floor, released on 6 September 2013 by DFA Records. The band produced and recorded the album in Mono House, their North London warehouse.",
"DFA Records: DFA Records is an American independent record label founded in 2001 by Mo' Wax co-founder Tim Goldsworthy, musician James Murphy, and manager Jonathan Galkin. They previously had a production team called The DFA, consisting of Goldsworthy and Murphy."
]
},
"need_tools_kwargs": false,
"question": "When was the record label of Factory Floor established?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Frog Baby Fountain (Ball State University): \"Frog Baby\" Fountain is a statue set in the middle of a fountain on the Ball State University campus. It is known as a sign of good luck and is a popular meeting place. The \"Frog Baby\" statue was cast by Edith Barretto Stevens Parsons in 1937 and has been moved several times prior to becoming what it is known as today. Frank C. Ball donated the statue to the university and it remained in the Ball State University Museum of Art until it became damaged by excessive rubbing by students, and was then packed away. In 1993, \"Frog Baby\" was restored and placed in a fountain where it resides today. The fountain is dedicated to Alexander Bracken, the son-in-law of Frank C. Ball, who was responsible for Ball State's rapid growth after World War II.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"22,513 students"
]
},
"style": "rule"
}
|
{
"index": "186",
"interaction_kwargs": {
"full_context": [
"Document 1: Frog Baby Fountain (Ball State University): \"Frog Baby\" Fountain is a statue set in the middle of a fountain on the Ball State University campus. It is known as a sign of good luck and is a popular meeting place. The \"Frog Baby\" statue was cast by Edith Barretto Stevens Parsons in 1937 and has been moved several times prior to becoming what it is known as today. Frank C. Ball donated the statue to the university and it remained in the Ball State University Museum of Art until it became damaged by excessive rubbing by students, and was then packed away. In 1993, \"Frog Baby\" was restored and placed in a fountain where it resides today. The fountain is dedicated to Alexander Bracken, the son-in-law of Frank C. Ball, who was responsible for Ball State's rapid growth after World War II.",
"Document 2: Ball State University: Ball State is classified by the Carnegie Classification of Institutions of Higher Education as a doctoral university: higher research activity. The university is composed of eight academic colleges. As of 2017, total enrollment was 22,513 students, including 17,004 undergraduates and 5,509 postgraduates. The university offers about 190 undergraduate majors and 130 minor areas of study and more than 140 master's, doctoral, certificate, and specialist degrees. There are more than 400 student organizations and clubs on campus, including 34 fraternities and sororities. Ball State athletic teams compete in Division I of the NCAA and are known as the Ball State Cardinals. The university is a member of the Mid-American Conference and the Midwestern Intercollegiate Volleyball Association."
],
"ground_truth": [
"22,513 students"
],
"name": "graph_construction",
"question": "What is the enrollment at the school where the Frog Baby Fountain is located?",
"sub_queries": [
"Frog Baby Fountain >> location Answer: Ball State University",
"what is the enrollment at Ball State University Answer: 22,513 students"
],
"supporting_context": [
"Frog Baby Fountain (Ball State University): \"Frog Baby\" Fountain is a statue set in the middle of a fountain on the Ball State University campus. It is known as a sign of good luck and is a popular meeting place. The \"Frog Baby\" statue was cast by Edith Barretto Stevens Parsons in 1937 and has been moved several times prior to becoming what it is known as today. Frank C. Ball donated the statue to the university and it remained in the Ball State University Museum of Art until it became damaged by excessive rubbing by students, and was then packed away. In 1993, \"Frog Baby\" was restored and placed in a fountain where it resides today. The fountain is dedicated to Alexander Bracken, the son-in-law of Frank C. Ball, who was responsible for Ball State's rapid growth after World War II.",
"Ball State University: Ball State is classified by the Carnegie Classification of Institutions of Higher Education as a doctoral university: higher research activity. The university is composed of eight academic colleges. As of 2017, total enrollment was 22,513 students, including 17,004 undergraduates and 5,509 postgraduates. The university offers about 190 undergraduate majors and 130 minor areas of study and more than 140 master's, doctoral, certificate, and specialist degrees. There are more than 400 student organizations and clubs on campus, including 34 fraternities and sororities. Ball State athletic teams compete in Division I of the NCAA and are known as the Ball State Cardinals. The university is a member of the Mid-American Conference and the Midwestern Intercollegiate Volleyball Association."
]
},
"need_tools_kwargs": false,
"question": "What is the enrollment at the school where the Frog Baby Fountain is located?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Freemasonry: The denomination with the longest history of objection to Freemasonry is the Roman Catholic Church. The objections raised by the Roman Catholic Church are based on the allegation that Masonry teaches a naturalistic deistic religion which is in conflict with Church doctrine. A number of Papal pronouncements have been issued against Freemasonry. The first was Pope Clement XII's In eminenti apostolatus, 28 April 1738; the most recent was Pope Leo XIII's Ab apostolici, 15 October 1890. The 1917 Code of Canon Law explicitly declared that joining Freemasonry entailed automatic excommunication, and banned books favouring Freemasonry.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"the Bishop of Rome, who is known as the Pope"
]
},
"style": "rule"
}
|
{
"index": "187",
"interaction_kwargs": {
"full_context": [
"Document 1: Freemasonry: The denomination with the longest history of objection to Freemasonry is the Roman Catholic Church. The objections raised by the Roman Catholic Church are based on the allegation that Masonry teaches a naturalistic deistic religion which is in conflict with Church doctrine. A number of Papal pronouncements have been issued against Freemasonry. The first was Pope Clement XII's In eminenti apostolatus, 28 April 1738; the most recent was Pope Leo XIII's Ab apostolici, 15 October 1890. The 1917 Code of Canon Law explicitly declared that joining Freemasonry entailed automatic excommunication, and banned books favouring Freemasonry.",
"Document 2: Catholic Church: The Catholic Church, also known as the Roman Catholic Church, is the largest Christian church, with more than 1.299 billion members worldwide. As one of the oldest religious institutions in the world, it has played a prominent role in the history and development of Western civilisation. The church is headed by the Bishop of Rome, who is known as the Pope. The church's doctrines are summarised in the Nicene Creed. Its central administration, the Holy See, is in the Vatican City, an enclave within Rome, Italy."
],
"ground_truth": [
"the Bishop of Rome, who is known as the Pope"
],
"name": "graph_construction",
"question": "Which title is used for the leader of the organization that has always opposed Freemasonry?",
"sub_queries": [
"Whao has always opposed Freemasonry? Answer: the Roman Catholic Church",
"which title is used for the leader of the Roman Catholic Church Answer: the Bishop of Rome, who is known as the Pope"
],
"supporting_context": [
"Freemasonry: The denomination with the longest history of objection to Freemasonry is the Roman Catholic Church. The objections raised by the Roman Catholic Church are based on the allegation that Masonry teaches a naturalistic deistic religion which is in conflict with Church doctrine. A number of Papal pronouncements have been issued against Freemasonry. The first was Pope Clement XII's In eminenti apostolatus, 28 April 1738; the most recent was Pope Leo XIII's Ab apostolici, 15 October 1890. The 1917 Code of Canon Law explicitly declared that joining Freemasonry entailed automatic excommunication, and banned books favouring Freemasonry.",
"Catholic Church: The Catholic Church, also known as the Roman Catholic Church, is the largest Christian church, with more than 1.299 billion members worldwide. As one of the oldest religious institutions in the world, it has played a prominent role in the history and development of Western civilisation. The church is headed by the Bishop of Rome, who is known as the Pope. The church's doctrines are summarised in the Nicene Creed. Its central administration, the Holy See, is in the Vatican City, an enclave within Rome, Italy."
]
},
"need_tools_kwargs": false,
"question": "Which title is used for the leader of the organization that has always opposed Freemasonry?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Queen Victoria: Palmerston died in 1865, and after a brief ministry led by Russell, Derby returned to power. In 1866, Victoria attended the State Opening of Parliament for the first time since Albert's death. The following year she supported the passing of the Reform Act 1867 which doubled the electorate by extending the franchise to many urban working men, though she was not in favour of votes for women. Derby resigned in 1868, to be replaced by Benjamin Disraeli, who charmed Victoria. \"Everyone likes flattery,\" he said, \"and when you come to royalty you should lay it on with a trowel.\" With the phrase \"we authors, Ma'am\", he complimented her. Disraeli's ministry only lasted a matter of months, and at the end of the year his Liberal rival, William Ewart Gladstone, was appointed prime minister. Victoria found Gladstone's demeanour far less appealing; he spoke to her, she is thought to have complained, as though she were \"a public meeting rather than a woman\".",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1865"
]
},
"style": "rule"
}
|
{
"index": "188",
"interaction_kwargs": {
"full_context": [
"Document 1: Queen Victoria: Palmerston died in 1865, and after a brief ministry led by Russell, Derby returned to power. In 1866, Victoria attended the State Opening of Parliament for the first time since Albert's death. The following year she supported the passing of the Reform Act 1867 which doubled the electorate by extending the franchise to many urban working men, though she was not in favour of votes for women. Derby resigned in 1868, to be replaced by Benjamin Disraeli, who charmed Victoria. \"Everyone likes flattery,\" he said, \"and when you come to royalty you should lay it on with a trowel.\" With the phrase \"we authors, Ma'am\", he complimented her. Disraeli's ministry only lasted a matter of months, and at the end of the year his Liberal rival, William Ewart Gladstone, was appointed prime minister. Victoria found Gladstone's demeanour far less appealing; he spoke to her, she is thought to have complained, as though she were \"a public meeting rather than a woman\".",
"Document 2: Queen Victoria: On 14 January 1858, an Italian refugee from Britain called Orsini attempted to assassinate Napoleon III with a bomb made in England. The ensuing diplomatic crisis destabilised the government, and Palmerston resigned. Derby was reinstated as prime minister. Victoria and Albert attended the opening of a new basin at the French military port of Cherbourg on 5 August 1858, in an attempt by Napoleon III to reassure Britain that his military preparations were directed elsewhere. On her return Victoria wrote to Derby reprimanding him for the poor state of the Royal Navy in comparison to the French one. Derby's ministry did not last long, and in June 1859 Victoria recalled Palmerston to office."
],
"ground_truth": [
"1865"
],
"name": "graph_construction",
"question": "What year did the person who resigned due to the attempt on Napoleon's life die?",
"sub_queries": [
"Who resigned due to the attempt on Napoleons life? Answer: Palmerston",
"What year did Palmerston die? Answer: 1865"
],
"supporting_context": [
"Queen Victoria: Palmerston died in 1865, and after a brief ministry led by Russell, Derby returned to power. In 1866, Victoria attended the State Opening of Parliament for the first time since Albert's death. The following year she supported the passing of the Reform Act 1867 which doubled the electorate by extending the franchise to many urban working men, though she was not in favour of votes for women. Derby resigned in 1868, to be replaced by Benjamin Disraeli, who charmed Victoria. \"Everyone likes flattery,\" he said, \"and when you come to royalty you should lay it on with a trowel.\" With the phrase \"we authors, Ma'am\", he complimented her. Disraeli's ministry only lasted a matter of months, and at the end of the year his Liberal rival, William Ewart Gladstone, was appointed prime minister. Victoria found Gladstone's demeanour far less appealing; he spoke to her, she is thought to have complained, as though she were \"a public meeting rather than a woman\".",
"Queen Victoria: On 14 January 1858, an Italian refugee from Britain called Orsini attempted to assassinate Napoleon III with a bomb made in England. The ensuing diplomatic crisis destabilised the government, and Palmerston resigned. Derby was reinstated as prime minister. Victoria and Albert attended the opening of a new basin at the French military port of Cherbourg on 5 August 1858, in an attempt by Napoleon III to reassure Britain that his military preparations were directed elsewhere. On her return Victoria wrote to Derby reprimanding him for the poor state of the Royal Navy in comparison to the French one. Derby's ministry did not last long, and in June 1859 Victoria recalled Palmerston to office."
]
},
"need_tools_kwargs": false,
"question": "What year did the person who resigned due to the attempt on Napoleon's life die?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: The Man Who Invented Christmas (film): The Man Who Invented Christmas is a 2017 biographical drama film directed by Bharat Nalluri and written by Susan Coyne based on the book of the same name by Les Standiford. It stars Dan Stevens, Christopher Plummer, and Jonathan Pryce. The plot follows Charles Dickens (Stevens) at the time when he wrote A Christmas Carol, and how Dickens's fictional character Ebenezer Scrooge (Plummer) was influenced by his real - life father, John Dickens (Pryce).",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Dan Stevens"
]
},
"style": "rule"
}
|
{
"index": "189",
"interaction_kwargs": {
"full_context": [
"Document 1: The Man Who Invented Christmas (film): The Man Who Invented Christmas is a 2017 biographical drama film directed by Bharat Nalluri and written by Susan Coyne based on the book of the same name by Les Standiford. It stars Dan Stevens, Christopher Plummer, and Jonathan Pryce. The plot follows Charles Dickens (Stevens) at the time when he wrote A Christmas Carol, and how Dickens's fictional character Ebenezer Scrooge (Plummer) was influenced by his real - life father, John Dickens (Pryce).",
"Document 2: Gradgrind: Mr Thomas Gradgrind is the notorious school board Superintendent in Dickens's novel \"Hard Times\" who is dedicated to the pursuit of profitable enterprise. His name is now used generically to refer to someone who is hard and only concerned with cold facts and numbers."
],
"ground_truth": [
"Dan Stevens"
],
"name": "graph_construction",
"question": "Who plays the creator of Gradgrind in the man who invented christmas?",
"sub_queries": [
"Gradgrind >> creator Answer: Dickens",
"who plays Dickens in the man who invented christmas Answer: Dan Stevens"
],
"supporting_context": [
"Gradgrind: Mr Thomas Gradgrind is the notorious school board Superintendent in Dickens's novel \"Hard Times\" who is dedicated to the pursuit of profitable enterprise. His name is now used generically to refer to someone who is hard and only concerned with cold facts and numbers.",
"The Man Who Invented Christmas (film): The Man Who Invented Christmas is a 2017 biographical drama film directed by Bharat Nalluri and written by Susan Coyne based on the book of the same name by Les Standiford. It stars Dan Stevens, Christopher Plummer, and Jonathan Pryce. The plot follows Charles Dickens (Stevens) at the time when he wrote A Christmas Carol, and how Dickens's fictional character Ebenezer Scrooge (Plummer) was influenced by his real - life father, John Dickens (Pryce)."
]
},
"need_tools_kwargs": false,
"question": "Who plays the creator of Gradgrind in the man who invented christmas?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Brantley Gilbert: Brantley Keith Gilbert (born January 20, 1985) is an American country music singer, songwriter and record producer from Jefferson, Georgia. He was originally signed to Colt Ford's label, Average Joes Entertainment, where he released \"Modern Day Prodigal Son\" and \"Halfway to Heaven\". He is now signed to the Valory division of Big Machine Records where he has released three studio albums—a deluxe edition of \"Halfway to Heaven\", \"Just as I Am\", \"The Devil Don't Sleep\", and 11 country chart entries, four of which have gone to number one. He also wrote Jason Aldean's singles \"My Kinda Party\" and \"Dirt Road Anthem\".",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Jefferson"
]
},
"style": "rule"
}
|
{
"index": "190",
"interaction_kwargs": {
"full_context": [
"Document 1: Brantley Gilbert: Brantley Keith Gilbert (born January 20, 1985) is an American country music singer, songwriter and record producer from Jefferson, Georgia. He was originally signed to Colt Ford's label, Average Joes Entertainment, where he released \"Modern Day Prodigal Son\" and \"Halfway to Heaven\". He is now signed to the Valory division of Big Machine Records where he has released three studio albums—a deluxe edition of \"Halfway to Heaven\", \"Just as I Am\", \"The Devil Don't Sleep\", and 11 country chart entries, four of which have gone to number one. He also wrote Jason Aldean's singles \"My Kinda Party\" and \"Dirt Road Anthem\".",
"Document 2: You Don't Know Her Like I Do: ``You Do n't Know Her Like I Do ''is a song recorded by American country rock artist Brantley Gilbert. It was released in December 2011 as the second single from the deluxe edition of his 2010 album Halfway to Heaven. The song was written by Gilbert and Jim McCormick and was the second most - played country song on radio in 2012."
],
"ground_truth": [
"Jefferson"
],
"name": "graph_construction",
"question": "The singer of \"You don't know her like I do\" was born in what city?",
"sub_queries": [
"who sings you don't know her like i do Answer: Brantley Gilbert",
"Brantley Gilbert >> place of birth Answer: Jefferson"
],
"supporting_context": [
"Brantley Gilbert: Brantley Keith Gilbert (born January 20, 1985) is an American country music singer, songwriter and record producer from Jefferson, Georgia. He was originally signed to Colt Ford's label, Average Joes Entertainment, where he released \"Modern Day Prodigal Son\" and \"Halfway to Heaven\". He is now signed to the Valory division of Big Machine Records where he has released three studio albums—a deluxe edition of \"Halfway to Heaven\", \"Just as I Am\", \"The Devil Don't Sleep\", and 11 country chart entries, four of which have gone to number one. He also wrote Jason Aldean's singles \"My Kinda Party\" and \"Dirt Road Anthem\".",
"You Don't Know Her Like I Do: ``You Do n't Know Her Like I Do ''is a song recorded by American country rock artist Brantley Gilbert. It was released in December 2011 as the second single from the deluxe edition of his 2010 album Halfway to Heaven. The song was written by Gilbert and Jim McCormick and was the second most - played country song on radio in 2012."
]
},
"need_tools_kwargs": false,
"question": "The singer of \"You don't know her like I do\" was born in what city?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Sino-Tibetan relations during the Ming dynasty: Discussions of strategy in the mid Ming dynasty focused primarily on recovery of the Ordos region, which the Mongols used as a rallying base to stage raids into Ming China. Norbu states that the Ming dynasty, preoccupied with the Mongol threat to the north, could not spare additional armed forces to enforce or back up their claim of sovereignty over Tibet; instead, they relied on \"Confucian instruments of tribute relations\" of heaping unlimited number of titles and gifts on Tibetan lamas through acts of diplomacy. Sperling states that the delicate relationship between the Ming and Tibet was \"the last time a united China had to deal with an independent Tibet,\" that there was a potential for armed conflict at their borders, and that the ultimate goal of Ming foreign policy with Tibet was not subjugation but \"avoidance of any kind of Tibetan threat.\" P. Christiaan Klieger argues that the Ming court's patronage of high Tibetan lamas \"was designed to help stabilize border regions and protect trade routes.\"",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Ming China"
]
},
"style": "rule"
}
|
{
"index": "191",
"interaction_kwargs": {
"full_context": [
"Document 1: Sino-Tibetan relations during the Ming dynasty: Discussions of strategy in the mid Ming dynasty focused primarily on recovery of the Ordos region, which the Mongols used as a rallying base to stage raids into Ming China. Norbu states that the Ming dynasty, preoccupied with the Mongol threat to the north, could not spare additional armed forces to enforce or back up their claim of sovereignty over Tibet; instead, they relied on \"Confucian instruments of tribute relations\" of heaping unlimited number of titles and gifts on Tibetan lamas through acts of diplomacy. Sperling states that the delicate relationship between the Ming and Tibet was \"the last time a united China had to deal with an independent Tibet,\" that there was a potential for armed conflict at their borders, and that the ultimate goal of Ming foreign policy with Tibet was not subjugation but \"avoidance of any kind of Tibetan threat.\" P. Christiaan Klieger argues that the Ming court's patronage of high Tibetan lamas \"was designed to help stabilize border regions and protect trade routes.\"",
"Document 2: Sino-Tibetan relations during the Ming dynasty: Tibetan sources say Deshin Shekpa also persuaded the Yongle Emperor not to impose his military might on Tibet as the Mongols had previously done. Thinley writes that before the Karmapa returned to Tibet, the Yongle Emperor began planning to send a military force into Tibet to forcibly give the Karmapa authority over all the Tibetan Buddhist schools but Deshin Shekpa dissuaded him. However, Hok-Lam Chan states that \"there is little evidence that this was ever the emperor's intention\" and that evidence indicates that Deshin Skekpa was invited strictly for religious purposes."
],
"ground_truth": [
"Ming China"
],
"name": "graph_construction",
"question": "Where were the people who imposed military might on Tibet in the past trying to raise?",
"sub_queries": [
"Who imposed on the military might on Tibet in the past? Answer: the Mongols",
"Where were the the Mongols trying to raise? Answer: Ming China"
],
"supporting_context": [
"Sino-Tibetan relations during the Ming dynasty: Discussions of strategy in the mid Ming dynasty focused primarily on recovery of the Ordos region, which the Mongols used as a rallying base to stage raids into Ming China. Norbu states that the Ming dynasty, preoccupied with the Mongol threat to the north, could not spare additional armed forces to enforce or back up their claim of sovereignty over Tibet; instead, they relied on \"Confucian instruments of tribute relations\" of heaping unlimited number of titles and gifts on Tibetan lamas through acts of diplomacy. Sperling states that the delicate relationship between the Ming and Tibet was \"the last time a united China had to deal with an independent Tibet,\" that there was a potential for armed conflict at their borders, and that the ultimate goal of Ming foreign policy with Tibet was not subjugation but \"avoidance of any kind of Tibetan threat.\" P. Christiaan Klieger argues that the Ming court's patronage of high Tibetan lamas \"was designed to help stabilize border regions and protect trade routes.\"",
"Sino-Tibetan relations during the Ming dynasty: Tibetan sources say Deshin Shekpa also persuaded the Yongle Emperor not to impose his military might on Tibet as the Mongols had previously done. Thinley writes that before the Karmapa returned to Tibet, the Yongle Emperor began planning to send a military force into Tibet to forcibly give the Karmapa authority over all the Tibetan Buddhist schools but Deshin Shekpa dissuaded him. However, Hok-Lam Chan states that \"there is little evidence that this was ever the emperor's intention\" and that evidence indicates that Deshin Skekpa was invited strictly for religious purposes."
]
},
"need_tools_kwargs": false,
"question": "Where were the people who imposed military might on Tibet in the past trying to raise?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Religion in ancient Rome: The small woolen dolls called Maniae, hung on the Compitalia shrines, were thought a symbolic replacement for child-sacrifice to Mania, as Mother of the Lares. The Junii took credit for its abolition by their ancestor L. Junius Brutus, traditionally Rome's Republican founder and first consul. Political or military executions were sometimes conducted in such a way that they evoked human sacrifice, whether deliberately or in the perception of witnesses; Marcus Marius Gratidianus was a gruesome example.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"L. Junius Brutus"
]
},
"style": "rule"
}
|
{
"index": "192",
"interaction_kwargs": {
"full_context": [
"Document 1: Religion in ancient Rome: The small woolen dolls called Maniae, hung on the Compitalia shrines, were thought a symbolic replacement for child-sacrifice to Mania, as Mother of the Lares. The Junii took credit for its abolition by their ancestor L. Junius Brutus, traditionally Rome's Republican founder and first consul. Political or military executions were sometimes conducted in such a way that they evoked human sacrifice, whether deliberately or in the perception of witnesses; Marcus Marius Gratidianus was a gruesome example.",
"Document 2: Titus Lucretius Tricipitinus: Titus Lucretius Tricipitinus was a politician and military leader in the early days of the Roman Republic. Twice, in the years 508 and 504 BC, he was elected Roman Consul, alongside Publius Valerius Poplicola. Also a military leader, he was victorious against Lars Porsena during his first consulate. According to Livy, he led the Roman army together with Valerius against the Sabines in 504 BC and both consuls were awarded the honour of a triumph, however the Fasti Triumphales only mention the triumph of Valerius, in May 504 BC."
],
"ground_truth": [
"L. Junius Brutus"
],
"name": "graph_construction",
"question": "Who was the founder of Titus Lucretius Tricipitinus' country of citizenship?",
"sub_queries": [
"Titus Lucretius Tricipitinus >> country of citizenship Answer: Roman Republic",
"Who was the founder of Roman Republic ? Answer: L. Junius Brutus"
],
"supporting_context": [
"Titus Lucretius Tricipitinus: Titus Lucretius Tricipitinus was a politician and military leader in the early days of the Roman Republic. Twice, in the years 508 and 504 BC, he was elected Roman Consul, alongside Publius Valerius Poplicola. Also a military leader, he was victorious against Lars Porsena during his first consulate. According to Livy, he led the Roman army together with Valerius against the Sabines in 504 BC and both consuls were awarded the honour of a triumph, however the Fasti Triumphales only mention the triumph of Valerius, in May 504 BC.",
"Religion in ancient Rome: The small woolen dolls called Maniae, hung on the Compitalia shrines, were thought a symbolic replacement for child-sacrifice to Mania, as Mother of the Lares. The Junii took credit for its abolition by their ancestor L. Junius Brutus, traditionally Rome's Republican founder and first consul. Political or military executions were sometimes conducted in such a way that they evoked human sacrifice, whether deliberately or in the perception of witnesses; Marcus Marius Gratidianus was a gruesome example."
]
},
"need_tools_kwargs": false,
"question": "Who was the founder of Titus Lucretius Tricipitinus' country of citizenship?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Linus and Lucy: ``Linus and Lucy ''is a popular jazz piano composition written by Vince Guaraldi, appearing in many of the Peanuts animated television specials. Named for the fictional siblings Linus and Lucy van Pelt, it was released in 1964 on the Vince Guaraldi Trio's album Jazz Impressions of a Boy Named Charlie Brown. A Charlie Brown Christmas introduced the song to a television audience of millions of children beginning in 1965. Since that special, the piece has introduced most of the Peanuts TV cartoons, with the exceptions of the specials and other TV programs produced between 1979 and 1992. It is one of the most recognizable pieces by Vince Guaraldi, and has gained status as the de facto theme song of the Peanuts franchise.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Warner Bros."
]
},
"style": "rule"
}
|
{
"index": "193",
"interaction_kwargs": {
"full_context": [
"Document 1: Linus and Lucy: ``Linus and Lucy ''is a popular jazz piano composition written by Vince Guaraldi, appearing in many of the Peanuts animated television specials. Named for the fictional siblings Linus and Lucy van Pelt, it was released in 1964 on the Vince Guaraldi Trio's album Jazz Impressions of a Boy Named Charlie Brown. A Charlie Brown Christmas introduced the song to a television audience of millions of children beginning in 1965. Since that special, the piece has introduced most of the Peanuts TV cartoons, with the exceptions of the specials and other TV programs produced between 1979 and 1992. It is one of the most recognizable pieces by Vince Guaraldi, and has gained status as the de facto theme song of the Peanuts franchise.",
"Document 2: Oh Good Grief!: Oh, Good Grief is an album by Vince Guaraldi released by Warner Bros., in 1968. This album displays a re-interpretation of Charles M. Schulz's \"Peanuts\" classics as Guaraldi experimented with electric keyboard and electric harpsichord in preparation of the release of his next album, The Eclectic Vince Guaraldi. The performers on this recording were pianist Vince Guaraldi, guitarist Eddie Duran, drummer Carl Burnett, and bassist Stanley Gilbert. The electric harpsichord may be harsh to some listeners unaccustomed to it, but this album shows lively new versions of the classic tunes of Peanuts."
],
"ground_truth": [
"Warner Bros."
],
"name": "graph_construction",
"question": "What record label was the person who wrote the theme song to Charlie Brown signed with?",
"sub_queries": [
"who wrote the theme song to charlie brown Answer: Vince Guaraldi",
"Vince Guaraldi >> record label Answer: Warner Bros."
],
"supporting_context": [
"Linus and Lucy: ``Linus and Lucy ''is a popular jazz piano composition written by Vince Guaraldi, appearing in many of the Peanuts animated television specials. Named for the fictional siblings Linus and Lucy van Pelt, it was released in 1964 on the Vince Guaraldi Trio's album Jazz Impressions of a Boy Named Charlie Brown. A Charlie Brown Christmas introduced the song to a television audience of millions of children beginning in 1965. Since that special, the piece has introduced most of the Peanuts TV cartoons, with the exceptions of the specials and other TV programs produced between 1979 and 1992. It is one of the most recognizable pieces by Vince Guaraldi, and has gained status as the de facto theme song of the Peanuts franchise.",
"Oh Good Grief!: Oh, Good Grief is an album by Vince Guaraldi released by Warner Bros., in 1968. This album displays a re-interpretation of Charles M. Schulz's \"Peanuts\" classics as Guaraldi experimented with electric keyboard and electric harpsichord in preparation of the release of his next album, The Eclectic Vince Guaraldi. The performers on this recording were pianist Vince Guaraldi, guitarist Eddie Duran, drummer Carl Burnett, and bassist Stanley Gilbert. The electric harpsichord may be harsh to some listeners unaccustomed to it, but this album shows lively new versions of the classic tunes of Peanuts."
]
},
"need_tools_kwargs": false,
"question": "What record label was the person who wrote the theme song to Charlie Brown signed with?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Cast Your Fate to the Wind: ``Cast Your Fate to the Wind ''Single by Vince Guaraldi Trio from the album Jazz Impressions of Black Orpheus B - side`` Samba de Orpheus'' Released July 1962 (U.S.) Genre Jazz Length 2: 58 Label Fantasy 563X Songwriter (s) Vince Guaraldi",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Warner Bros."
]
},
"style": "rule"
}
|
{
"index": "194",
"interaction_kwargs": {
"full_context": [
"Document 1: Cast Your Fate to the Wind: ``Cast Your Fate to the Wind ''Single by Vince Guaraldi Trio from the album Jazz Impressions of Black Orpheus B - side`` Samba de Orpheus'' Released July 1962 (U.S.) Genre Jazz Length 2: 58 Label Fantasy 563X Songwriter (s) Vince Guaraldi",
"Document 2: Oh Good Grief!: Oh, Good Grief is an album by Vince Guaraldi released by Warner Bros., in 1968. This album displays a re-interpretation of Charles M. Schulz's \"Peanuts\" classics as Guaraldi experimented with electric keyboard and electric harpsichord in preparation of the release of his next album, The Eclectic Vince Guaraldi. The performers on this recording were pianist Vince Guaraldi, guitarist Eddie Duran, drummer Carl Burnett, and bassist Stanley Gilbert. The electric harpsichord may be harsh to some listeners unaccustomed to it, but this album shows lively new versions of the classic tunes of Peanuts."
],
"ground_truth": [
"Warner Bros."
],
"name": "graph_construction",
"question": "What is the record label for the singer of Cast Your Fate to the Wind?",
"sub_queries": [
"who wrote the song cast your fate to the wind Answer: Vince Guaraldi",
"Vince Guaraldi >> record label Answer: Warner Bros."
],
"supporting_context": [
"Cast Your Fate to the Wind: ``Cast Your Fate to the Wind ''Single by Vince Guaraldi Trio from the album Jazz Impressions of Black Orpheus B - side`` Samba de Orpheus'' Released July 1962 (U.S.) Genre Jazz Length 2: 58 Label Fantasy 563X Songwriter (s) Vince Guaraldi",
"Oh Good Grief!: Oh, Good Grief is an album by Vince Guaraldi released by Warner Bros., in 1968. This album displays a re-interpretation of Charles M. Schulz's \"Peanuts\" classics as Guaraldi experimented with electric keyboard and electric harpsichord in preparation of the release of his next album, The Eclectic Vince Guaraldi. The performers on this recording were pianist Vince Guaraldi, guitarist Eddie Duran, drummer Carl Burnett, and bassist Stanley Gilbert. The electric harpsichord may be harsh to some listeners unaccustomed to it, but this album shows lively new versions of the classic tunes of Peanuts."
]
},
"need_tools_kwargs": false,
"question": "What is the record label for the singer of Cast Your Fate to the Wind?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Yuan dynasty: When the Mongols placed the Uighurs of the Kingdom of Qocho over the Koreans at the court the Korean King objected, then the Mongol Emperor Kublai Khan rebuked the Korean King, saying that the Uighur King of Qocho was ranked higher than the Karluk Kara-Khanid ruler, who in turn was ranked higher than the Korean King, who was ranked last, because the Uighurs surrendered to the Mongols first, the Karluks surrendered after the Uighurs, and the Koreans surrendered last, and that the Uighurs surrendered peacefully without violently resisting.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"the Uighurs surrendered peacefully without violently resisting"
]
},
"style": "rule"
}
|
{
"index": "195",
"interaction_kwargs": {
"full_context": [
"Document 1: Yuan dynasty: When the Mongols placed the Uighurs of the Kingdom of Qocho over the Koreans at the court the Korean King objected, then the Mongol Emperor Kublai Khan rebuked the Korean King, saying that the Uighur King of Qocho was ranked higher than the Karluk Kara-Khanid ruler, who in turn was ranked higher than the Korean King, who was ranked last, because the Uighurs surrendered to the Mongols first, the Karluks surrendered after the Uighurs, and the Koreans surrendered last, and that the Uighurs surrendered peacefully without violently resisting.",
"Document 2: Sino-Tibetan relations during the Ming dynasty: Tibetan sources say Deshin Shekpa also persuaded the Yongle Emperor not to impose his military might on Tibet as the Mongols had previously done. Thinley writes that before the Karmapa returned to Tibet, the Yongle Emperor began planning to send a military force into Tibet to forcibly give the Karmapa authority over all the Tibetan Buddhist schools but Deshin Shekpa dissuaded him. However, Hok-Lam Chan states that \"there is little evidence that this was ever the emperor's intention\" and that evidence indicates that Deshin Skekpa was invited strictly for religious purposes."
],
"ground_truth": [
"the Uighurs surrendered peacefully without violently resisting"
],
"name": "graph_construction",
"question": "Why were the Uighurs ranked higher by the people who imposed on the military might of Tibet in the past?",
"sub_queries": [
"Who imposed on the military might on Tibet in the past? Answer: the Mongols",
"Why were the Uighurs ranked higher by the the Mongols ? Answer: the Uighurs surrendered peacefully without violently resisting"
],
"supporting_context": [
"Yuan dynasty: When the Mongols placed the Uighurs of the Kingdom of Qocho over the Koreans at the court the Korean King objected, then the Mongol Emperor Kublai Khan rebuked the Korean King, saying that the Uighur King of Qocho was ranked higher than the Karluk Kara-Khanid ruler, who in turn was ranked higher than the Korean King, who was ranked last, because the Uighurs surrendered to the Mongols first, the Karluks surrendered after the Uighurs, and the Koreans surrendered last, and that the Uighurs surrendered peacefully without violently resisting.",
"Sino-Tibetan relations during the Ming dynasty: Tibetan sources say Deshin Shekpa also persuaded the Yongle Emperor not to impose his military might on Tibet as the Mongols had previously done. Thinley writes that before the Karmapa returned to Tibet, the Yongle Emperor began planning to send a military force into Tibet to forcibly give the Karmapa authority over all the Tibetan Buddhist schools but Deshin Shekpa dissuaded him. However, Hok-Lam Chan states that \"there is little evidence that this was ever the emperor's intention\" and that evidence indicates that Deshin Skekpa was invited strictly for religious purposes."
]
},
"need_tools_kwargs": false,
"question": "Why were the Uighurs ranked higher by the people who imposed on the military might of Tibet in the past?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Museum of the American Revolution: The Museum of the American Revolution (formerly The American Revolution Center) is a Philadelphia museum dedicated to telling the story of the American Revolution. The museum was opened to the public on April 19, 2017, the anniversary of the first battle of the war, Lexington and Concord, on April 19, 1775.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"April 19, 2017"
]
},
"style": "rule"
}
|
{
"index": "196",
"interaction_kwargs": {
"full_context": [
"Document 1: Museum of the American Revolution: The Museum of the American Revolution (formerly The American Revolution Center) is a Philadelphia museum dedicated to telling the story of the American Revolution. The museum was opened to the public on April 19, 2017, the anniversary of the first battle of the war, Lexington and Concord, on April 19, 1775.",
"Document 2: Boston: Many of the crucial events of the American Revolution—the Boston Massacre, the Boston Tea Party, Paul Revere's midnight ride, the battles of Lexington and Concord and Bunker Hill, the Siege of Boston, and many others—occurred in or near Boston. After the Revolution, Boston's long seafaring tradition helped make it one of the world's wealthiest international ports, with rum, fish, salt, and tobacco being particularly important."
],
"ground_truth": [
"April 19, 2017"
],
"name": "graph_construction",
"question": "When did the museum of the war where Boston was the location of many important events open?",
"sub_queries": [
"Boston was the location of many important events of what war? Answer: the American Revolution",
"when did the museum of the American Revolution open Answer: April 19, 2017"
],
"supporting_context": [
"Museum of the American Revolution: The Museum of the American Revolution (formerly The American Revolution Center) is a Philadelphia museum dedicated to telling the story of the American Revolution. The museum was opened to the public on April 19, 2017, the anniversary of the first battle of the war, Lexington and Concord, on April 19, 1775.",
"Boston: Many of the crucial events of the American Revolution—the Boston Massacre, the Boston Tea Party, Paul Revere's midnight ride, the battles of Lexington and Concord and Bunker Hill, the Siege of Boston, and many others—occurred in or near Boston. After the Revolution, Boston's long seafaring tradition helped make it one of the world's wealthiest international ports, with rum, fish, salt, and tobacco being particularly important."
]
},
"need_tools_kwargs": false,
"question": "When did the museum of the war where Boston was the location of many important events open?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Country Music is Here to Stay: \"Country Music is Here to Stay\" is the first single by singer Ferlin Husky with Capitol Records under the pseudonym Simon Crum. The song peaked at No. 2 on \"Billboard\" Hot Country Songs chart for three weeks.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Capitol Records"
]
},
"style": "rule"
}
|
{
"index": "197",
"interaction_kwargs": {
"full_context": [
"Document 1: Country Music is Here to Stay: \"Country Music is Here to Stay\" is the first single by singer Ferlin Husky with Capitol Records under the pseudonym Simon Crum. The song peaked at No. 2 on \"Billboard\" Hot Country Songs chart for three weeks.",
"Document 2: Wings of a Dove (Bob Ferguson song): ``Wings of a Dove 'is a country song written by Bob Ferguson in 1958.`` Wings of a Dove ''was most popular when it was recorded by Ferlin Husky in 1960. The Ferlin Husky recording went to number one on the country charts for 10 nonconsecutive weeks. It was Ferlin Husky's third and final number one on the country chart, spending nine months on the chart. ``Wings of a Dove'' was successful on the pop charts, as well, peaking at number 12 on the Hot 100. In 1987, Broadcast Music Incorporated awarded Ferguson with the`` million air ''plays for the ``Wings of a Dove''."
],
"ground_truth": [
"Capitol Records"
],
"name": "graph_construction",
"question": "What is the record label for the singer of Wings of a Dove?",
"sub_queries": [
"who sung on the wings of a snow white dove Answer: Ferlin Husky",
"Ferlin Husky >> record label Answer: Capitol Records"
],
"supporting_context": [
"Country Music is Here to Stay: \"Country Music is Here to Stay\" is the first single by singer Ferlin Husky with Capitol Records under the pseudonym Simon Crum. The song peaked at No. 2 on \"Billboard\" Hot Country Songs chart for three weeks.",
"Wings of a Dove (Bob Ferguson song): ``Wings of a Dove 'is a country song written by Bob Ferguson in 1958.`` Wings of a Dove ''was most popular when it was recorded by Ferlin Husky in 1960. The Ferlin Husky recording went to number one on the country charts for 10 nonconsecutive weeks. It was Ferlin Husky's third and final number one on the country chart, spending nine months on the chart. ``Wings of a Dove'' was successful on the pop charts, as well, peaking at number 12 on the Hot 100. In 1987, Broadcast Music Incorporated awarded Ferguson with the`` million air ''plays for the ``Wings of a Dove''."
]
},
"need_tools_kwargs": false,
"question": "What is the record label for the singer of Wings of a Dove?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: My Kinda Party (song): ``My Kinda Party ''is a song written and originally recorded by American country rock artist Brantley Gilbert from his 2009 album Modern Day Prodigal Son. Jason Aldean covered the song and his version serves as the lead - off single to his 2010 album of the same name.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Jefferson"
]
},
"style": "rule"
}
|
{
"index": "198",
"interaction_kwargs": {
"full_context": [
"Document 1: My Kinda Party (song): ``My Kinda Party ''is a song written and originally recorded by American country rock artist Brantley Gilbert from his 2009 album Modern Day Prodigal Son. Jason Aldean covered the song and his version serves as the lead - off single to his 2010 album of the same name.",
"Document 2: Brantley Gilbert: Brantley Keith Gilbert (born January 20, 1985) is an American country music singer, songwriter and record producer from Jefferson, Georgia. He was originally signed to Colt Ford's label, Average Joes Entertainment, where he released \"Modern Day Prodigal Son\" and \"Halfway to Heaven\". He is now signed to the Valory division of Big Machine Records where he has released three studio albums—a deluxe edition of \"Halfway to Heaven\", \"Just as I Am\", \"The Devil Don't Sleep\", and 11 country chart entries, four of which have gone to number one. He also wrote Jason Aldean's singles \"My Kinda Party\" and \"Dirt Road Anthem\"."
],
"ground_truth": [
"Jefferson"
],
"name": "graph_construction",
"question": "Where was the person who wrote the song my kinda party by Jason Aldean born?",
"sub_queries": [
"who wrote my kinda party by jason aldean Answer: Brantley Gilbert",
"Brantley Gilbert >> place of birth Answer: Jefferson"
],
"supporting_context": [
"My Kinda Party (song): ``My Kinda Party ''is a song written and originally recorded by American country rock artist Brantley Gilbert from his 2009 album Modern Day Prodigal Son. Jason Aldean covered the song and his version serves as the lead - off single to his 2010 album of the same name.",
"Brantley Gilbert: Brantley Keith Gilbert (born January 20, 1985) is an American country music singer, songwriter and record producer from Jefferson, Georgia. He was originally signed to Colt Ford's label, Average Joes Entertainment, where he released \"Modern Day Prodigal Son\" and \"Halfway to Heaven\". He is now signed to the Valory division of Big Machine Records where he has released three studio albums—a deluxe edition of \"Halfway to Heaven\", \"Just as I Am\", \"The Devil Don't Sleep\", and 11 country chart entries, four of which have gone to number one. He also wrote Jason Aldean's singles \"My Kinda Party\" and \"Dirt Road Anthem\"."
]
},
"need_tools_kwargs": false,
"question": "Where was the person who wrote the song my kinda party by Jason Aldean born?",
"split": "train"
}
| null |
musique_train
|
[
{
"content": "You are an expert knowledge graph constructor. \nYour task is to extract factual information from the provided text and represent it strictly as a JSON array of knowledge graph triples. \n\n### Output Format\n- The output must be a **JSON array**.\n- Each element in the array must be a **JSON object** with exactly three non-empty keys:\n - \"subject\": the main entity, concept, event, or attribute. \n - \"relation\": a concise, descriptive phrase or verb that describes the relationship (e.g., \"founded by\", \"started on\", \"is a\", \"has circulation of\"). \n - \"object\": the entity, concept, value, event, or attribute that the subject has a relationship with. \n\n### Constraints\n- **Do not include any text other than the JSON output.**\n- Do not add explanations, comments, or formatting outside of the JSON array. \n- Extract **all possible and relevant triples**. \n- All keys must exist and all values must be non-empty strings. \n- The \"subject\" and \"object\" can be specific entities (e.g., \"Radio City\", \"Football in Albania\", \"Echosmith\") or specific values (e.g., \"3 July 2001\", \"1,310,696\"). \n- If no triples can be extracted, return exactly: `[]`.",
"role": "system"
},
{
"content": "Extracts for Document 1: Danny Manning: Daniel Ricardo Manning (born May 17, 1966) is an American college basketball coach and retired National Basketball Association player. He is the current men's head coach at Wake Forest. After retiring from professional basketball Manning became an assistant coach at his alma mater, the University of Kansas. He won the national championship with the Jayhawks in 1988 as a player, and again on the coaching staff in 2008. He is the all - time leading scorer in Kansas basketball history with 2,951 points; the closest player to his point total, Nick Collison, is 854 points behind.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1873"
]
},
"style": "rule"
}
|
{
"index": "199",
"interaction_kwargs": {
"full_context": [
"Document 1: Danny Manning: Daniel Ricardo Manning (born May 17, 1966) is an American college basketball coach and retired National Basketball Association player. He is the current men's head coach at Wake Forest. After retiring from professional basketball Manning became an assistant coach at his alma mater, the University of Kansas. He won the national championship with the Jayhawks in 1988 as a player, and again on the coaching staff in 2008. He is the all - time leading scorer in Kansas basketball history with 2,951 points; the closest player to his point total, Nick Collison, is 854 points behind.",
"Document 2: University of Kansas: The KU School of Engineering is an ABET accredited, public engineering school located on the main campus. The School of Engineering was officially founded in 1891, although engineering degrees were awarded as early as 1873."
],
"ground_truth": [
"1873"
],
"name": "graph_construction",
"question": "When did the college Danny Manning played for start issuing engineering degrees?",
"sub_queries": [
"who did danny manning play for in college Answer: the University of Kansas",
"When did the University of Kansas start issuing degrees in engineering? Answer: 1873"
],
"supporting_context": [
"University of Kansas: The KU School of Engineering is an ABET accredited, public engineering school located on the main campus. The School of Engineering was officially founded in 1891, although engineering degrees were awarded as early as 1873.",
"Danny Manning: Daniel Ricardo Manning (born May 17, 1966) is an American college basketball coach and retired National Basketball Association player. He is the current men's head coach at Wake Forest. After retiring from professional basketball Manning became an assistant coach at his alma mater, the University of Kansas. He won the national championship with the Jayhawks in 1988 as a player, and again on the coaching staff in 2008. He is the all - time leading scorer in Kansas basketball history with 2,951 points; the closest player to his point total, Nick Collison, is 854 points behind."
]
},
"need_tools_kwargs": false,
"question": "When did the college Danny Manning played for start issuing engineering degrees?",
"split": "train"
}
| null |
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