AutoGraph-R1
Collection
Directly Optimizing Knowledge Graph Construction for RAG using Reinforcement Learning
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11 items
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Updated
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2
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: The Collegian (Houston Baptist University): The Collegian is the bi-weekly official student publication of Houston Baptist University in Houston, Texas. It was founded in 1963 as a newsletter, and adopted the newspaper format in 1990.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1960"
]
},
"style": "rule"
}
|
{
"index": "0",
"interaction_kwargs": {
"full_context": [
"Document 1: The Collegian (Houston Baptist University): The Collegian is the bi-weekly official student publication of Houston Baptist University in Houston, Texas. It was founded in 1963 as a newsletter, and adopted the newspaper format in 1990.",
"Document 2: Houston: Several private institutions of higher learning—ranging from liberal arts colleges, such as The University of St. Thomas, Houston's only Catholic university, to Rice University, the nationally recognized research university—are located within the city. Rice, with a total enrollment of slightly more than 6,000 students, has a number of distinguished graduate programs and research institutes, such as the James A. Baker Institute for Public Policy. Houston Baptist University, affiliated with the Baptist General Convention of Texas, offers bachelor's and graduate degrees. It was founded in 1960 and is located in the Sharpstown area in Southwest Houston."
],
"ground_truth": [
"1960"
],
"name": "graph_construction",
"question": "When was the institute that owned The Collegian founded?",
"sub_queries": [
"The Collegian >> owned by Answer: Houston Baptist University",
"When was Houston Baptist University founded? Answer: 1960"
],
"supporting_context": [
"The Collegian (Houston Baptist University): The Collegian is the bi-weekly official student publication of Houston Baptist University in Houston, Texas. It was founded in 1963 as a newsletter, and adopted the newspaper format in 1990.",
"Houston: Several private institutions of higher learning—ranging from liberal arts colleges, such as The University of St. Thomas, Houston's only Catholic university, to Rice University, the nationally recognized research university—are located within the city. Rice, with a total enrollment of slightly more than 6,000 students, has a number of distinguished graduate programs and research institutes, such as the James A. Baker Institute for Public Policy. Houston Baptist University, affiliated with the Baptist General Convention of Texas, offers bachelor's and graduate degrees. It was founded in 1960 and is located in the Sharpstown area in Southwest Houston."
]
},
"need_tools_kwargs": false,
"question": "When was the institute that owned The Collegian founded?",
"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: East of England: The East of England is one of nine official regions of England at the first level of NUTS for statistical purposes. It was created in 1994 and was adopted for statistics from 1999. It includes the ceremonial counties of Bedfordshire, Cambridgeshire, Essex, Hertfordshire, Norfolk and Suffolk. Essex has the highest population in the region.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1994"
]
},
"style": "rule"
}
|
{
"index": "1",
"interaction_kwargs": {
"full_context": [
"Document 1: East of England: The East of England is one of nine official regions of England at the first level of NUTS for statistical purposes. It was created in 1994 and was adopted for statistics from 1999. It includes the ceremonial counties of Bedfordshire, Cambridgeshire, Essex, Hertfordshire, Norfolk and Suffolk. Essex has the highest population in the region.",
"Document 2: Hertfordshire: Hertfordshire is the county immediately north of London and is part of the East of England region, a mainly statistical unit. A significant minority of the population across all districts are City of London commuters. To the east is Essex, to the west is Buckinghamshire and to the north are Bedfordshire and Cambridgeshire."
],
"ground_truth": [
"1994"
],
"name": "graph_construction",
"question": "What year saw the creation of the region where the county of Hertfordshire is located?",
"sub_queries": [
"In which state is Hertfordshire located? Answer: East of England",
"When was East of England birthed? Answer: 1994"
],
"supporting_context": [
"Hertfordshire: Hertfordshire is the county immediately north of London and is part of the East of England region, a mainly statistical unit. A significant minority of the population across all districts are City of London commuters. To the east is Essex, to the west is Buckinghamshire and to the north are Bedfordshire and Cambridgeshire.",
"East of England: The East of England is one of nine official regions of England at the first level of NUTS for statistical purposes. It was created in 1994 and was adopted for statistics from 1999. It includes the ceremonial counties of Bedfordshire, Cambridgeshire, Essex, Hertfordshire, Norfolk and Suffolk. Essex has the highest population in the region."
]
},
"need_tools_kwargs": false,
"question": "What year saw the creation of the region where the county of Hertfordshire 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: The Game (1997 film): The Game is a 1997 American mystery thriller film directed by David Fincher, starring Michael Douglas and Sean Penn, and produced by Propaganda Films and PolyGram Filmed Entertainment. It tells the story of a wealthy investment banker who is given a mysterious gift: participation in a game that integrates in strange ways with his everyday life. As the lines between the banker's real life and the game become more uncertain, hints of a large conspiracy become apparent.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1999"
]
},
"style": "rule"
}
|
{
"index": "2",
"interaction_kwargs": {
"full_context": [
"Document 1: The Game (1997 film): The Game is a 1997 American mystery thriller film directed by David Fincher, starring Michael Douglas and Sean Penn, and produced by Propaganda Films and PolyGram Filmed Entertainment. It tells the story of a wealthy investment banker who is given a mysterious gift: participation in a game that integrates in strange ways with his everyday life. As the lines between the banker's real life and the game become more uncertain, hints of a large conspiracy become apparent.",
"Document 2: PolyGram Filmed Entertainment: PolyGram Filmed Entertainment (formerly known as PolyGram Films and PolyGram Pictures or simply PFE) was a British-American film studio founded in 1980 which became a European competitor to Hollywood, but was eventually sold to Seagram Company Ltd. in 1998 and was folded in 1999. Among its most successful and well known films were \"An American Werewolf in London\" (1981), \"Flashdance\" (1983), \"Four Weddings and a Funeral\" (1994), \"Dead Man Walking\" (1995), \"The Big Lebowski\" (1998), \"Fargo\" (1996), \"The Usual Suspects\" (1995), and \"Notting Hill\" (1999)."
],
"ground_truth": [
"1999"
],
"name": "graph_construction",
"question": "When was the abolishment of the studio that distributed The Game?",
"sub_queries": [
"The Game >> distributed by Answer: PolyGram Filmed Entertainment",
"When was PolyGram Filmed Entertainment abolished? Answer: 1999"
],
"supporting_context": [
"PolyGram Filmed Entertainment: PolyGram Filmed Entertainment (formerly known as PolyGram Films and PolyGram Pictures or simply PFE) was a British-American film studio founded in 1980 which became a European competitor to Hollywood, but was eventually sold to Seagram Company Ltd. in 1998 and was folded in 1999. Among its most successful and well known films were \"An American Werewolf in London\" (1981), \"Flashdance\" (1983), \"Four Weddings and a Funeral\" (1994), \"Dead Man Walking\" (1995), \"The Big Lebowski\" (1998), \"Fargo\" (1996), \"The Usual Suspects\" (1995), and \"Notting Hill\" (1999).",
"The Game (1997 film): The Game is a 1997 American mystery thriller film directed by David Fincher, starring Michael Douglas and Sean Penn, and produced by Propaganda Films and PolyGram Filmed Entertainment. It tells the story of a wealthy investment banker who is given a mysterious gift: participation in a game that integrates in strange ways with his everyday life. As the lines between the banker's real life and the game become more uncertain, hints of a large conspiracy become apparent."
]
},
"need_tools_kwargs": false,
"question": "When was the abolishment of the studio that distributed The Game?",
"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: CrossGen: Cross Generation Entertainment, or CrossGen, was an American comic book publisher and entertainment company that operated from 1998 to 2004. The company's assets were acquired by The Walt Disney Company in 2004, and designated to Disney Publishing Worldwide. In July 2010, Disney re-established the brand through Marvel Comics, who announced plans to revive CrossGen titles.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1998"
]
},
"style": "rule"
}
|
{
"index": "3",
"interaction_kwargs": {
"full_context": [
"Document 1: CrossGen: Cross Generation Entertainment, or CrossGen, was an American comic book publisher and entertainment company that operated from 1998 to 2004. The company's assets were acquired by The Walt Disney Company in 2004, and designated to Disney Publishing Worldwide. In July 2010, Disney re-established the brand through Marvel Comics, who announced plans to revive CrossGen titles.",
"Document 2: Crux (comics): Crux is an American comic book published by CrossGen Entertainment from May 2001 to February 2004. It was cancelled due to bankruptcy in 2004. Crux was one of the later titles that came first in a sort of second wave of Crossgen titles which included Sojourn and Brath. It detailed the exploits of six Atlanteans who were put into stasis and are awoken 100.000 years later."
],
"ground_truth": [
"1998"
],
"name": "graph_construction",
"question": "When was the publisher of Crux launched?",
"sub_queries": [
"Crux >> publisher Answer: CrossGen",
"When was CrossGen launched? Answer: 1998"
],
"supporting_context": [
"CrossGen: Cross Generation Entertainment, or CrossGen, was an American comic book publisher and entertainment company that operated from 1998 to 2004. The company's assets were acquired by The Walt Disney Company in 2004, and designated to Disney Publishing Worldwide. In July 2010, Disney re-established the brand through Marvel Comics, who announced plans to revive CrossGen titles.",
"Crux (comics): Crux is an American comic book published by CrossGen Entertainment from May 2001 to February 2004. It was cancelled due to bankruptcy in 2004. Crux was one of the later titles that came first in a sort of second wave of Crossgen titles which included Sojourn and Brath. It detailed the exploits of six Atlanteans who were put into stasis and are awoken 100.000 years later."
]
},
"need_tools_kwargs": false,
"question": "When was the publisher of Crux launched?",
"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: Hradec Králové: Hradec Králové (; ) is a city of the Czech Republic, in the Hradec Králové Region of Bohemia. The city's economy is based on food-processing technology, photochemical, EMS and IT. Traditional industries include musical instrument manufacturing – the best known being Petrof pianos. The University of Hradec Králové is located in the city, the University of Defense has its only medical faculty in Hradec Králové and Charles University in Prague also has its Faculty of Medicine in Hradec Králové and Faculty of Pharmacy there.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Czech Republic"
]
},
"style": "rule"
}
|
{
"index": "4",
"interaction_kwargs": {
"full_context": [
"Document 1: Hradec Králové: Hradec Králové (; ) is a city of the Czech Republic, in the Hradec Králové Region of Bohemia. The city's economy is based on food-processing technology, photochemical, EMS and IT. Traditional industries include musical instrument manufacturing – the best known being Petrof pianos. The University of Hradec Králové is located in the city, the University of Defense has its only medical faculty in Hradec Králové and Charles University in Prague also has its Faculty of Medicine in Hradec Králové and Faculty of Pharmacy there.",
"Document 2: Jan Šindel: Jan Šindel was born in the Bohemian town Hradec Králové probably in the 1370s. As a young man he came to Prague to study at Charles University. In 1395 or 1399 he became the Master of Arts at Prague University. In 1406 he worked at the parish school of the St. Nicolas Church in the Lesser Town of Prague. Later he worked as a teacher of mathematics in Vienna, where he also studied medicine. Then he came back to Prague and became the professor of astronomy at Charles University, where he became Doctor of Medicine and rector of the university in 1410."
],
"ground_truth": [
"Czech Republic"
],
"name": "graph_construction",
"question": "Jan Šindel's was born in what country?",
"sub_queries": [
"What is Jan Šindel's birthplace? Answer: Hradec Králové",
"Hradec Králové >> country Answer: Czech Republic"
],
"supporting_context": [
"Jan Šindel: Jan Šindel was born in the Bohemian town Hradec Králové probably in the 1370s. As a young man he came to Prague to study at Charles University. In 1395 or 1399 he became the Master of Arts at Prague University. In 1406 he worked at the parish school of the St. Nicolas Church in the Lesser Town of Prague. Later he worked as a teacher of mathematics in Vienna, where he also studied medicine. Then he came back to Prague and became the professor of astronomy at Charles University, where he became Doctor of Medicine and rector of the university in 1410.",
"Hradec Králové: Hradec Králové (; ) is a city of the Czech Republic, in the Hradec Králové Region of Bohemia. The city's economy is based on food-processing technology, photochemical, EMS and IT. Traditional industries include musical instrument manufacturing – the best known being Petrof pianos. The University of Hradec Králové is located in the city, the University of Defense has its only medical faculty in Hradec Králové and Charles University in Prague also has its Faculty of Medicine in Hradec Králové and Faculty of Pharmacy there."
]
},
"need_tools_kwargs": false,
"question": "Jan Šindel's was born in what country?",
"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: Philosophy of language: In the early 19th century, the Danish philosopher Søren Kierkegaard insisted that language ought to play a larger role in Western philosophy. He argues that philosophy has not sufficiently focused on the role language plays in cognition and that future philosophy ought to proceed with a conscious focus on language:",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Copenhagen"
]
},
"style": "rule"
}
|
{
"index": "5",
"interaction_kwargs": {
"full_context": [
"Document 1: Philosophy of language: In the early 19th century, the Danish philosopher Søren Kierkegaard insisted that language ought to play a larger role in Western philosophy. He argues that philosophy has not sufficiently focused on the role language plays in cognition and that future philosophy ought to proceed with a conscious focus on language:",
"Document 2: Søren Kierkegaard: Kierkegaard was born to an affluent family in Copenhagen. His mother, Ane Sørensdatter Lund Kierkegaard, had served as a maid in the household before marrying his father, Michael Pedersen Kierkegaard. She was an unassuming figure: quiet, plain, and not formally educated, but Henriette Lund, her granddaughter, wrote that she \"wielded the sceptre with joy and protected [Søren and Peter] like a hen protecting her chicks\". She also wielded influence on her children so that later Peter said that his brother preserved many of their mother's words in his writings. His father, on the other hand, was a well-to-do wool merchant from Jutland. He was a \"very stern man, to all appearances dry and prosaic, but under his 'rustic cloak' demeanor he concealed an active imagination which not even his great age could blunt\". He was also interested in philosophy and often hosted intellectuals at his home. The young Kierkegaard read the philosophy of Christian Wolff. He also preferred the comedies of Ludvig Holberg, the writings of Georg Johann Hamann, Gotthold Ephraim Lessing, Edward Young, and Plato, especially those referring to Socrates."
],
"ground_truth": [
"Copenhagen"
],
"name": "graph_construction",
"question": "What city is the person who broadened the doctrine of philosophy of language from?",
"sub_queries": [
"who broadened the doctrine of philosophy of language Answer: Søren Kierkegaard",
"What city is Søren Kierkegaard from? Answer: Copenhagen"
],
"supporting_context": [
"Søren Kierkegaard: Kierkegaard was born to an affluent family in Copenhagen. His mother, Ane Sørensdatter Lund Kierkegaard, had served as a maid in the household before marrying his father, Michael Pedersen Kierkegaard. She was an unassuming figure: quiet, plain, and not formally educated, but Henriette Lund, her granddaughter, wrote that she \"wielded the sceptre with joy and protected [Søren and Peter] like a hen protecting her chicks\". She also wielded influence on her children so that later Peter said that his brother preserved many of their mother's words in his writings. His father, on the other hand, was a well-to-do wool merchant from Jutland. He was a \"very stern man, to all appearances dry and prosaic, but under his 'rustic cloak' demeanor he concealed an active imagination which not even his great age could blunt\". He was also interested in philosophy and often hosted intellectuals at his home. The young Kierkegaard read the philosophy of Christian Wolff. He also preferred the comedies of Ludvig Holberg, the writings of Georg Johann Hamann, Gotthold Ephraim Lessing, Edward Young, and Plato, especially those referring to Socrates.",
"Philosophy of language: In the early 19th century, the Danish philosopher Søren Kierkegaard insisted that language ought to play a larger role in Western philosophy. He argues that philosophy has not sufficiently focused on the role language plays in cognition and that future philosophy ought to proceed with a conscious focus on language:"
]
},
"need_tools_kwargs": false,
"question": "What city is the person who broadened the doctrine of philosophy of language from?",
"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: 2015 World Series: The 2015 World Series was the championship series of Major League Baseball's (MLB) 2015 season. The 111th edition of the World Series, it was a best - of - seven playoff between the National League (NL) champion New York Mets and the American League (AL) champion Kansas City Royals. The series was played between October 27 and November 1, with the Royals winning the series 4 games to 1. It was the first time since the 2010 World Series that the World Series extended into November. The Royals became the first team since the Oakland Athletics in the 1989 World Series to win the World Series after losing in the previous year. It was the first World Series to feature only expansion teams and the first since the 2007 World Series to not feature the Philadelphia Phillies, St. Louis Cardinals, or San Francisco Giants as the NL champions.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1969"
]
},
"style": "rule"
}
|
{
"index": "6",
"interaction_kwargs": {
"full_context": [
"Document 1: 2015 World Series: The 2015 World Series was the championship series of Major League Baseball's (MLB) 2015 season. The 111th edition of the World Series, it was a best - of - seven playoff between the National League (NL) champion New York Mets and the American League (AL) champion Kansas City Royals. The series was played between October 27 and November 1, with the Royals winning the series 4 games to 1. It was the first time since the 2010 World Series that the World Series extended into November. The Royals became the first team since the Oakland Athletics in the 1989 World Series to win the World Series after losing in the previous year. It was the first World Series to feature only expansion teams and the first since the 2007 World Series to not feature the Philadelphia Phillies, St. Louis Cardinals, or San Francisco Giants as the NL champions.",
"Document 2: Kansas City Royals: The Kansas City Royals are an American professional baseball team based in Kansas City, Missouri. The Royals compete in Major League Baseball (MLB) as a member team of the American League (AL) Central division. The team was founded as an expansion franchise in 1969, and has participated in four World Series, winning in 1985 and 2015, and losing in 1980 and 2014."
],
"ground_truth": [
"1969"
],
"name": "graph_construction",
"question": "When was the baseball team winning the world series in 2015 baseball created?",
"sub_queries": [
"who won the world series in 2015 baseball Answer: Kansas City Royals",
"When was Kansas City Royals created? Answer: 1969"
],
"supporting_context": [
"Kansas City Royals: The Kansas City Royals are an American professional baseball team based in Kansas City, Missouri. The Royals compete in Major League Baseball (MLB) as a member team of the American League (AL) Central division. The team was founded as an expansion franchise in 1969, and has participated in four World Series, winning in 1985 and 2015, and losing in 1980 and 2014.",
"2015 World Series: The 2015 World Series was the championship series of Major League Baseball's (MLB) 2015 season. The 111th edition of the World Series, it was a best - of - seven playoff between the National League (NL) champion New York Mets and the American League (AL) champion Kansas City Royals. The series was played between October 27 and November 1, with the Royals winning the series 4 games to 1. It was the first time since the 2010 World Series that the World Series extended into November. The Royals became the first team since the Oakland Athletics in the 1989 World Series to win the World Series after losing in the previous year. It was the first World Series to feature only expansion teams and the first since the 2007 World Series to not feature the Philadelphia Phillies, St. Louis Cardinals, or San Francisco Giants as the NL champions."
]
},
"need_tools_kwargs": false,
"question": "When was the baseball team winning the world series in 2015 baseball 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: George Schnéevoigt: Schnéevoigt was born in Copenhagen, Denmark to actress Siri Schnéevoigt, and he is the father of actor and director Alf Schnéevoigt.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Copenhagen"
]
},
"style": "rule"
}
|
{
"index": "7",
"interaction_kwargs": {
"full_context": [
"Document 1: George Schnéevoigt: Schnéevoigt was born in Copenhagen, Denmark to actress Siri Schnéevoigt, and he is the father of actor and director Alf Schnéevoigt.",
"Document 2: Baldevins bryllup: Baldevins bryllup () is a 1926 Norwegian comedy film directed by George Schnéevoigt, starring Einar Sissener and Victor Bernau. The film is based on a play by Vilhelm Krag, and tells the story of how Simen Sørensen (Bernau) manages to get his friend Baldevin Jonassen (Sissener) married to the lady next door. The film was renovated in 2006, for the 100-years anniversary of Kristiansand Cinema."
],
"ground_truth": [
"Copenhagen"
],
"name": "graph_construction",
"question": "Where did the Baldevins bryllup director die?",
"sub_queries": [
"Who directed Baldevins bryllup? Answer: George Schnéevoigt",
"George Schnéevoigt >> place of death Answer: Copenhagen"
],
"supporting_context": [
"Baldevins bryllup: Baldevins bryllup () is a 1926 Norwegian comedy film directed by George Schnéevoigt, starring Einar Sissener and Victor Bernau. The film is based on a play by Vilhelm Krag, and tells the story of how Simen Sørensen (Bernau) manages to get his friend Baldevin Jonassen (Sissener) married to the lady next door. The film was renovated in 2006, for the 100-years anniversary of Kristiansand Cinema.",
"George Schnéevoigt: Schnéevoigt was born in Copenhagen, Denmark to actress Siri Schnéevoigt, and he is the father of actor and director Alf Schnéevoigt."
]
},
"need_tools_kwargs": false,
"question": "Where did the Baldevins bryllup director 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: Adolescence: The formal study of adolescent psychology began with the publication of G. Stanley Hall's \"Adolescence in 1904.\" Hall, who was the first president of the American Psychological Association, viewed adolescence primarily as a time of internal turmoil and upheaval (sturm und drang). This understanding of youth was based on two then new ways of understanding human behavior: Darwin's evolutionary theory and Freud's psychodynamic theory. He believed that adolescence was a representation of our human ancestors' phylogenetic shift from being primitive to being civilized. Hall's assertions stood relatively uncontested until the 1950s when psychologists such as Erik Erikson and Anna Freud started to formulate their theories about adolescence. Freud believed that the psychological disturbances associated with youth were biologically based and culturally universal while Erikson focused on the dichotomy between identity formation and role fulfillment. Even with their different theories, these three psychologists agreed that adolescence was inherently a time of disturbance and psychological confusion. The less turbulent aspects of adolescence, such as peer relations and cultural influence, were left largely ignored until the 1980s. From the '50s until the '80s, the focus of the field was mainly on describing patterns of behavior as opposed to explaining them.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"G. Stanley Hall"
]
},
"style": "rule"
}
|
{
"index": "8",
"interaction_kwargs": {
"full_context": [
"Document 1: Adolescence: The formal study of adolescent psychology began with the publication of G. Stanley Hall's \"Adolescence in 1904.\" Hall, who was the first president of the American Psychological Association, viewed adolescence primarily as a time of internal turmoil and upheaval (sturm und drang). This understanding of youth was based on two then new ways of understanding human behavior: Darwin's evolutionary theory and Freud's psychodynamic theory. He believed that adolescence was a representation of our human ancestors' phylogenetic shift from being primitive to being civilized. Hall's assertions stood relatively uncontested until the 1950s when psychologists such as Erik Erikson and Anna Freud started to formulate their theories about adolescence. Freud believed that the psychological disturbances associated with youth were biologically based and culturally universal while Erikson focused on the dichotomy between identity formation and role fulfillment. Even with their different theories, these three psychologists agreed that adolescence was inherently a time of disturbance and psychological confusion. The less turbulent aspects of adolescence, such as peer relations and cultural influence, were left largely ignored until the 1980s. From the '50s until the '80s, the focus of the field was mainly on describing patterns of behavior as opposed to explaining them.",
"Document 2: APA Ethics Code: The American Psychological Association (APA) Ethical Principles of Psychologists and Code of Conduct (for short, the Ethics Code, as referred to by the APA) includes an introduction, preamble, a list of five aspirational principles and a list of ten enforceable standards that psychologists use to guide ethical decisions in practice, research, and education. The principles and standards are written, revised, and enforced by the APA. The code of conduct is applicable to psychologists in a variety of areas across a variety of contexts. In the event of a violation of the code of conduct, the APA may take action ranging from termination of the APA membership to the loss of licensure, depending on the violation. Other professional organizations and licensing boards may adopt and enforce the code."
],
"ground_truth": [
"G. Stanley Hall"
],
"name": "graph_construction",
"question": "Who was thee first president of the association that wrote the code of ethics for psychology?",
"sub_queries": [
"who wrote the code of ethics for psychology Answer: The American Psychological Association",
"Who was the first president of The American Psychological Association ? Answer: G. Stanley Hall"
],
"supporting_context": [
"Adolescence: The formal study of adolescent psychology began with the publication of G. Stanley Hall's \"Adolescence in 1904.\" Hall, who was the first president of the American Psychological Association, viewed adolescence primarily as a time of internal turmoil and upheaval (sturm und drang). This understanding of youth was based on two then new ways of understanding human behavior: Darwin's evolutionary theory and Freud's psychodynamic theory. He believed that adolescence was a representation of our human ancestors' phylogenetic shift from being primitive to being civilized. Hall's assertions stood relatively uncontested until the 1950s when psychologists such as Erik Erikson and Anna Freud started to formulate their theories about adolescence. Freud believed that the psychological disturbances associated with youth were biologically based and culturally universal while Erikson focused on the dichotomy between identity formation and role fulfillment. Even with their different theories, these three psychologists agreed that adolescence was inherently a time of disturbance and psychological confusion. The less turbulent aspects of adolescence, such as peer relations and cultural influence, were left largely ignored until the 1980s. From the '50s until the '80s, the focus of the field was mainly on describing patterns of behavior as opposed to explaining them.",
"APA Ethics Code: The American Psychological Association (APA) Ethical Principles of Psychologists and Code of Conduct (for short, the Ethics Code, as referred to by the APA) includes an introduction, preamble, a list of five aspirational principles and a list of ten enforceable standards that psychologists use to guide ethical decisions in practice, research, and education. The principles and standards are written, revised, and enforced by the APA. The code of conduct is applicable to psychologists in a variety of areas across a variety of contexts. In the event of a violation of the code of conduct, the APA may take action ranging from termination of the APA membership to the loss of licensure, depending on the violation. Other professional organizations and licensing boards may adopt and enforce the code."
]
},
"need_tools_kwargs": false,
"question": "Who was thee first president of the association that wrote the code of ethics for psychology?",
"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: Baltic Sea: Since May 2004, with the accession of the Baltic states and Poland, the Baltic Sea has been almost entirely surrounded by countries of the European Union (EU). The only remaining non-EU shore areas are Russian: the Saint Petersburg area and the exclave of the Kaliningrad Oblast.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Saint Petersburg"
]
},
"style": "rule"
}
|
{
"index": "9",
"interaction_kwargs": {
"full_context": [
"Document 1: Baltic Sea: Since May 2004, with the accession of the Baltic states and Poland, the Baltic Sea has been almost entirely surrounded by countries of the European Union (EU). The only remaining non-EU shore areas are Russian: the Saint Petersburg area and the exclave of the Kaliningrad Oblast.",
"Document 2: Estonia: The Oeselians or Osilians (Estonian saarlased; singular: saarlane) were a historical subdivision of Estonians inhabiting Saaremaa (Danish: Øsel; German: Ösel; Swedish: Ösel), an Estonian island in the Baltic Sea. They were first mentioned as early as the second century BC in Ptolemy's Geography III. The Oeselians were known in the Old Norse Icelandic Sagas and in Heimskringla as Víkingr frá Esthland (Estonian Vikings). Their sailing vessels were called pirate ships by Henry of Latvia in his Latin chronicles written at the beginning of the 13th century."
],
"ground_truth": [
"Saint Petersburg"
],
"name": "graph_construction",
"question": "Which major Russian city borders the body of water in which Saaremaa is located?",
"sub_queries": [
"Where is Saaremaa located? Answer: the Baltic Sea",
"which major russian city borders the Baltic Sea Answer: Saint Petersburg"
],
"supporting_context": [
"Baltic Sea: Since May 2004, with the accession of the Baltic states and Poland, the Baltic Sea has been almost entirely surrounded by countries of the European Union (EU). The only remaining non-EU shore areas are Russian: the Saint Petersburg area and the exclave of the Kaliningrad Oblast.",
"Estonia: The Oeselians or Osilians (Estonian saarlased; singular: saarlane) were a historical subdivision of Estonians inhabiting Saaremaa (Danish: Øsel; German: Ösel; Swedish: Ösel), an Estonian island in the Baltic Sea. They were first mentioned as early as the second century BC in Ptolemy's Geography III. The Oeselians were known in the Old Norse Icelandic Sagas and in Heimskringla as Víkingr frá Esthland (Estonian Vikings). Their sailing vessels were called pirate ships by Henry of Latvia in his Latin chronicles written at the beginning of the 13th century."
]
},
"need_tools_kwargs": false,
"question": "Which major Russian city borders the body of water in which Saaremaa 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: Yale University: Yale expanded gradually, establishing the Yale School of Medicine (1810), Yale Divinity School (1822), Yale Law School (1843), Yale Graduate School of Arts and Sciences (1847), the Sheffield Scientific School (1847), and the Yale School of Fine Arts (1869). In 1887, as the college continued to grow under the presidency of Timothy Dwight V, Yale College was renamed Yale University. The university would later add the Yale School of Music (1894), the Yale School of Forestry & Environmental Studies (founded by Gifford Pinchot in 1900), the Yale School of Public Health (1915), the Yale School of Nursing (1923), the Yale School of Drama (1955), the Yale Physician Associate Program (1973), and the Yale School of Management (1976). It would also reorganize its relationship with the Sheffield Scientific School.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1822"
]
},
"style": "rule"
}
|
{
"index": "10",
"interaction_kwargs": {
"full_context": [
"Document 1: Yale University: Yale expanded gradually, establishing the Yale School of Medicine (1810), Yale Divinity School (1822), Yale Law School (1843), Yale Graduate School of Arts and Sciences (1847), the Sheffield Scientific School (1847), and the Yale School of Fine Arts (1869). In 1887, as the college continued to grow under the presidency of Timothy Dwight V, Yale College was renamed Yale University. The university would later add the Yale School of Music (1894), the Yale School of Forestry & Environmental Studies (founded by Gifford Pinchot in 1900), the Yale School of Public Health (1915), the Yale School of Nursing (1923), the Yale School of Drama (1955), the Yale Physician Associate Program (1973), and the Yale School of Management (1976). It would also reorganize its relationship with the Sheffield Scientific School.",
"Document 2: John J. Collins: John J. Collins (born 1946) is the Holmes Professor of Old Testament Criticism & Interpretation at Yale Divinity School. He is noted for his research in the Hebrew Bible, as well as the apocryphal works of the Second Temple period including the sectarian works found in Dead Sea Scrolls and their relation to Christian origins. Collins has published and edited over 300 scholarly works, and a number of popular level articles and books. Among his best known works are the \"Between Athens and Jerusalem: Jewish Identity in the Hellenistic Diaspora\" (New York: Crossroad, 1983); \"Daniel\" in the Hermeneia commentary series (Minneapolis: Fortress, 1993); \"The Scepter and the Star. The Messiahs of the Dead Sea Scrolls and Other Ancient Literature\" (New York: Doubleday, 1995); and \"The Bible after Babel: Historical Criticism in a Postmodern Age\" (Grand Rapids, Eerdmans, 2005)."
],
"ground_truth": [
"1822"
],
"name": "graph_construction",
"question": "When was the employer of John J. Collins established?",
"sub_queries": [
"John J. Collins >> employer Answer: Yale Divinity School",
"When was Yale Divinity School established? Answer: 1822"
],
"supporting_context": [
"Yale University: Yale expanded gradually, establishing the Yale School of Medicine (1810), Yale Divinity School (1822), Yale Law School (1843), Yale Graduate School of Arts and Sciences (1847), the Sheffield Scientific School (1847), and the Yale School of Fine Arts (1869). In 1887, as the college continued to grow under the presidency of Timothy Dwight V, Yale College was renamed Yale University. The university would later add the Yale School of Music (1894), the Yale School of Forestry & Environmental Studies (founded by Gifford Pinchot in 1900), the Yale School of Public Health (1915), the Yale School of Nursing (1923), the Yale School of Drama (1955), the Yale Physician Associate Program (1973), and the Yale School of Management (1976). It would also reorganize its relationship with the Sheffield Scientific School.",
"John J. Collins: John J. Collins (born 1946) is the Holmes Professor of Old Testament Criticism & Interpretation at Yale Divinity School. He is noted for his research in the Hebrew Bible, as well as the apocryphal works of the Second Temple period including the sectarian works found in Dead Sea Scrolls and their relation to Christian origins. Collins has published and edited over 300 scholarly works, and a number of popular level articles and books. Among his best known works are the \"Between Athens and Jerusalem: Jewish Identity in the Hellenistic Diaspora\" (New York: Crossroad, 1983); \"Daniel\" in the Hermeneia commentary series (Minneapolis: Fortress, 1993); \"The Scepter and the Star. The Messiahs of the Dead Sea Scrolls and Other Ancient Literature\" (New York: Doubleday, 1995); and \"The Bible after Babel: Historical Criticism in a Postmodern Age\" (Grand Rapids, Eerdmans, 2005)."
]
},
"need_tools_kwargs": false,
"question": "When was the employer of John J. Collins 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: John Kerry: In the lead up to the Iraq War, Kerry said on October 9, 2002; \"I will be voting to give the President of the United States the authority to use force, if necessary, to disarm Saddam Hussein because I believe that a deadly arsenal of weapons of mass destruction in his hands is a real and grave threat to our security.\" Bush relied on that resolution in ordering the 2003 invasion of Iraq. Kerry also gave a January 23, 2003 speech to Georgetown University saying \"Without question, we need to disarm Saddam Hussein. He is a brutal, murderous dictator; leading an oppressive regime he presents a particularly grievous threat because he is so consistently prone to miscalculation. So the threat of Saddam Hussein with weapons of mass destruction is real.\" Kerry did, however, warn that the administration should exhaust its diplomatic avenues before launching war: \"Mr. President, do not rush to war, take the time to build the coalition, because it's not winning the war that's hard, it's winning the peace that's hard.\"",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2003"
]
},
"style": "rule"
}
|
{
"index": "11",
"interaction_kwargs": {
"full_context": [
"Document 1: John Kerry: In the lead up to the Iraq War, Kerry said on October 9, 2002; \"I will be voting to give the President of the United States the authority to use force, if necessary, to disarm Saddam Hussein because I believe that a deadly arsenal of weapons of mass destruction in his hands is a real and grave threat to our security.\" Bush relied on that resolution in ordering the 2003 invasion of Iraq. Kerry also gave a January 23, 2003 speech to Georgetown University saying \"Without question, we need to disarm Saddam Hussein. He is a brutal, murderous dictator; leading an oppressive regime he presents a particularly grievous threat because he is so consistently prone to miscalculation. So the threat of Saddam Hussein with weapons of mass destruction is real.\" Kerry did, however, warn that the administration should exhaust its diplomatic avenues before launching war: \"Mr. President, do not rush to war, take the time to build the coalition, because it's not winning the war that's hard, it's winning the peace that's hard.\"",
"Document 2: John Kerry: During his bid to be elected president in 2004, Kerry frequently criticized President George W. Bush for the Iraq War. While Kerry had initially voted in support of authorizing President Bush to use force in dealing with Saddam Hussein, he voted against an $87 billion supplemental appropriations bill to pay for the subsequent war. His statement on March 16, 2004, \"I actually did vote for the $87 billion before I voted against it,\" helped the Bush campaign to paint him as a flip-flopper and has been cited as contributing to Kerry's defeat."
],
"ground_truth": [
"2003"
],
"name": "graph_construction",
"question": "When did Bush declare the war causing Kerry to criticize him during the 2004 campaign?",
"sub_queries": [
"Why did Kerry criticize Bush during the 2004 campaign? Answer: for the Iraq War",
"When did Bush declare for the Iraq War ? Answer: 2003"
],
"supporting_context": [
"John Kerry: During his bid to be elected president in 2004, Kerry frequently criticized President George W. Bush for the Iraq War. While Kerry had initially voted in support of authorizing President Bush to use force in dealing with Saddam Hussein, he voted against an $87 billion supplemental appropriations bill to pay for the subsequent war. His statement on March 16, 2004, \"I actually did vote for the $87 billion before I voted against it,\" helped the Bush campaign to paint him as a flip-flopper and has been cited as contributing to Kerry's defeat.",
"John Kerry: In the lead up to the Iraq War, Kerry said on October 9, 2002; \"I will be voting to give the President of the United States the authority to use force, if necessary, to disarm Saddam Hussein because I believe that a deadly arsenal of weapons of mass destruction in his hands is a real and grave threat to our security.\" Bush relied on that resolution in ordering the 2003 invasion of Iraq. Kerry also gave a January 23, 2003 speech to Georgetown University saying \"Without question, we need to disarm Saddam Hussein. He is a brutal, murderous dictator; leading an oppressive regime he presents a particularly grievous threat because he is so consistently prone to miscalculation. So the threat of Saddam Hussein with weapons of mass destruction is real.\" Kerry did, however, warn that the administration should exhaust its diplomatic avenues before launching war: \"Mr. President, do not rush to war, take the time to build the coalition, because it's not winning the war that's hard, it's winning the peace that's hard.\""
]
},
"need_tools_kwargs": false,
"question": "When did Bush declare the war causing Kerry to criticize him during the 2004 campaign?",
"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: King's College, Cambridge: King's College is a constituent college of the University of Cambridge in Cambridge, England. Formally The King's College of Our Lady and Saint Nicholas in Cambridge, the college lies beside the River Cam and faces out onto King's Parade in the centre of the city.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"college of the University of Cambridge"
]
},
"style": "rule"
}
|
{
"index": "12",
"interaction_kwargs": {
"full_context": [
"Document 1: King's College, Cambridge: King's College is a constituent college of the University of Cambridge in Cambridge, England. Formally The King's College of Our Lady and Saint Nicholas in Cambridge, the college lies beside the River Cam and faces out onto King's Parade in the centre of the city.",
"Document 2: Francis Walsingham: Francis Walsingham matriculated at King's College, Cambridge, in 1548 with many other Protestants but as an undergraduate of high social status did not sit for a degree. From 1550 or 1551, he travelled in continental Europe, returning to England by 1552 to enrol at Gray's Inn, one of the qualifying bodies for English lawyers."
],
"ground_truth": [
"college of the University of Cambridge"
],
"name": "graph_construction",
"question": "What is the college Francis Walsingham attended an instance of?",
"sub_queries": [
"What college did Francis Walsingham go to? Answer: King's College",
"King's College >> instance of Answer: college of the University of Cambridge"
],
"supporting_context": [
"Francis Walsingham: Francis Walsingham matriculated at King's College, Cambridge, in 1548 with many other Protestants but as an undergraduate of high social status did not sit for a degree. From 1550 or 1551, he travelled in continental Europe, returning to England by 1552 to enrol at Gray's Inn, one of the qualifying bodies for English lawyers.",
"King's College, Cambridge: King's College is a constituent college of the University of Cambridge in Cambridge, England. Formally The King's College of Our Lady and Saint Nicholas in Cambridge, the college lies beside the River Cam and faces out onto King's Parade in the centre of the city."
]
},
"need_tools_kwargs": false,
"question": "What is the college Francis Walsingham attended an instance 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: Sejong University: Sejong University (세종대학교, 世宗大學校) is a private university located in Seoul, South Korea. The history of Sejong University dates to 1940 when a trust established the Kyung Sung Humanities Institute. In 1978, the academy was named Sejong University in honor of Sejong the Great, the fourth king of the Chosun Dynasty and overseer of the Korean alphabet Hangeul.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"private university"
]
},
"style": "rule"
}
|
{
"index": "13",
"interaction_kwargs": {
"full_context": [
"Document 1: Sejong University: Sejong University (세종대학교, 世宗大學校) is a private university located in Seoul, South Korea. The history of Sejong University dates to 1940 when a trust established the Kyung Sung Humanities Institute. In 1978, the academy was named Sejong University in honor of Sejong the Great, the fourth king of the Chosun Dynasty and overseer of the Korean alphabet Hangeul.",
"Document 2: Kyeon Mi-ri: Kyeon Mi-ri graduated from Seoul Traditional Arts High School in 1983, then studied Dance at Sejong University. She made her acting debut in 1984, and has since become active in television dramas, most notably as the arrogant and ambitious Lady Choi in the 2003 period drama \"Dae Jang Geum\" (or \"Jewel in the Palace\"), which was a hit not only in Korea but throughout Asia."
],
"ground_truth": [
"private university"
],
"name": "graph_construction",
"question": "What type of university is the college Kyeon Mi-ri attended?",
"sub_queries": [
"The college Kyeon Mi-ri attended was what? Answer: Sejong University",
"Sejong University >> instance of Answer: private university"
],
"supporting_context": [
"Sejong University: Sejong University (세종대학교, 世宗大學校) is a private university located in Seoul, South Korea. The history of Sejong University dates to 1940 when a trust established the Kyung Sung Humanities Institute. In 1978, the academy was named Sejong University in honor of Sejong the Great, the fourth king of the Chosun Dynasty and overseer of the Korean alphabet Hangeul.",
"Kyeon Mi-ri: Kyeon Mi-ri graduated from Seoul Traditional Arts High School in 1983, then studied Dance at Sejong University. She made her acting debut in 1984, and has since become active in television dramas, most notably as the arrogant and ambitious Lady Choi in the 2003 period drama \"Dae Jang Geum\" (or \"Jewel in the Palace\"), which was a hit not only in Korea but throughout Asia."
]
},
"need_tools_kwargs": false,
"question": "What type of university is the college Kyeon Mi-ri attended?",
"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: Yale University: The university hosts a variety of student journals, magazines, and newspapers. Established in 1872, The Yale Record is the world's oldest humor magazine. Newspapers include the Yale Daily News, which was first published in 1878, and the weekly Yale Herald, which was first published in 1986. Dwight Hall, an independent, non-profit community service organization, oversees more than 2,000 Yale undergraduates working on more than 70 community service initiatives in New Haven. The Yale College Council runs several agencies that oversee campus wide activities and student services. The Yale Dramatic Association and Bulldog Productions cater to the theater and film communities, respectively. In addition, the Yale Drama Coalition serves to coordinate between and provide resources for the various Sudler Fund sponsored theater productions which run each weekend. WYBC Yale Radio is the campus's radio station, owned and operated by students. While students used to broadcast on AM & FM frequencies, they now have an Internet-only stream.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1878"
]
},
"style": "rule"
}
|
{
"index": "14",
"interaction_kwargs": {
"full_context": [
"Document 1: Yale University: The university hosts a variety of student journals, magazines, and newspapers. Established in 1872, The Yale Record is the world's oldest humor magazine. Newspapers include the Yale Daily News, which was first published in 1878, and the weekly Yale Herald, which was first published in 1986. Dwight Hall, an independent, non-profit community service organization, oversees more than 2,000 Yale undergraduates working on more than 70 community service initiatives in New Haven. The Yale College Council runs several agencies that oversee campus wide activities and student services. The Yale Dramatic Association and Bulldog Productions cater to the theater and film communities, respectively. In addition, the Yale Drama Coalition serves to coordinate between and provide resources for the various Sudler Fund sponsored theater productions which run each weekend. WYBC Yale Radio is the campus's radio station, owned and operated by students. While students used to broadcast on AM & FM frequencies, they now have an Internet-only stream.",
"Document 2: The Insider's Guide to the Colleges: The Insider's Guide to the Colleges is a college educational guide which has been published annually by the student editorial staff of the \"Yale Daily News\" for over four decades. It provides insight to prospective undergraduate students using first-hand accounts of attending students as well as an overview of the admissions process."
],
"ground_truth": [
"1878"
],
"name": "graph_construction",
"question": "In what year was the author of The Insider's Guide to the Colleges established?",
"sub_queries": [
"The Insider's Guide to the Colleges >> author Answer: Yale Daily News",
"In what year was Yale Daily News established? Answer: 1878"
],
"supporting_context": [
"The Insider's Guide to the Colleges: The Insider's Guide to the Colleges is a college educational guide which has been published annually by the student editorial staff of the \"Yale Daily News\" for over four decades. It provides insight to prospective undergraduate students using first-hand accounts of attending students as well as an overview of the admissions process.",
"Yale University: The university hosts a variety of student journals, magazines, and newspapers. Established in 1872, The Yale Record is the world's oldest humor magazine. Newspapers include the Yale Daily News, which was first published in 1878, and the weekly Yale Herald, which was first published in 1986. Dwight Hall, an independent, non-profit community service organization, oversees more than 2,000 Yale undergraduates working on more than 70 community service initiatives in New Haven. The Yale College Council runs several agencies that oversee campus wide activities and student services. The Yale Dramatic Association and Bulldog Productions cater to the theater and film communities, respectively. In addition, the Yale Drama Coalition serves to coordinate between and provide resources for the various Sudler Fund sponsored theater productions which run each weekend. WYBC Yale Radio is the campus's radio station, owned and operated by students. While students used to broadcast on AM & FM frequencies, they now have an Internet-only stream."
]
},
"need_tools_kwargs": false,
"question": "In what year was the author of The Insider's Guide to the Colleges 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: Royal Institute of British Architects: The Institute also maintains a dozen regional offices around the United Kingdom, it opened its first regional office for the East of England at Cambridge in 1966.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1994"
]
},
"style": "rule"
}
|
{
"index": "15",
"interaction_kwargs": {
"full_context": [
"Document 1: Royal Institute of British Architects: The Institute also maintains a dozen regional offices around the United Kingdom, it opened its first regional office for the East of England at Cambridge in 1966.",
"Document 2: East of England: The East of England is one of nine official regions of England at the first level of NUTS for statistical purposes. It was created in 1994 and was adopted for statistics from 1999. It includes the ceremonial counties of Bedfordshire, Cambridgeshire, Essex, Hertfordshire, Norfolk and Suffolk. Essex has the highest population in the region."
],
"ground_truth": [
"1994"
],
"name": "graph_construction",
"question": "When was the territory covered by RIBA's Cambridge branch office created?",
"sub_queries": [
"What territory did RIBA's Cambridge branch office cover? Answer: the East of England",
"When was the East of England birthed? Answer: 1994"
],
"supporting_context": [
"East of England: The East of England is one of nine official regions of England at the first level of NUTS for statistical purposes. It was created in 1994 and was adopted for statistics from 1999. It includes the ceremonial counties of Bedfordshire, Cambridgeshire, Essex, Hertfordshire, Norfolk and Suffolk. Essex has the highest population in the region.",
"Royal Institute of British Architects: The Institute also maintains a dozen regional offices around the United Kingdom, it opened its first regional office for the East of England at Cambridge in 1966."
]
},
"need_tools_kwargs": false,
"question": "When was the territory covered by RIBA's Cambridge branch office 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: Buddhism: Only the Theravada school does not include the Mahayana scriptures in its canon. As the modern Theravada school is descended from a branch of Buddhism that diverged and established itself in Sri Lanka prior to the emergence of the Mahayana texts, debate exists as to whether the Theravada were historically included in the hinayana designation; in the modern era, this label is seen as derogatory, and is generally avoided.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"The School of the Elders"
]
},
"style": "rule"
}
|
{
"index": "16",
"interaction_kwargs": {
"full_context": [
"Document 1: Buddhism: Only the Theravada school does not include the Mahayana scriptures in its canon. As the modern Theravada school is descended from a branch of Buddhism that diverged and established itself in Sri Lanka prior to the emergence of the Mahayana texts, debate exists as to whether the Theravada were historically included in the hinayana designation; in the modern era, this label is seen as derogatory, and is generally avoided.",
"Document 2: Buddhism: Two major extant branches of Buddhism are generally recognized by scholars: Theravada (\"The School of the Elders\") and Mahayana (\"The Great Vehicle\"). Vajrayana, a body of teachings attributed to Indian siddhas, may be viewed as a third branch or merely a part of Mahayana. Theravada has a widespread following in Sri Lanka and Southeast Asia. Mahayana which includes the traditions of Pure Land, Zen, Nichiren Buddhism, Shingon, and Tiantai (Tendai) is found throughout East Asia. Tibetan Buddhism, which preserves the Vajrayana teachings of eighth century India, is practiced in regions surrounding the Himalayas, Mongolia and Kalmykia. Buddhists number between an estimated 488 million[web 1] and 535 million, making it one of the world's major religions."
],
"ground_truth": [
"The School of the Elders"
],
"name": "graph_construction",
"question": "What's the meaning of the name of the school that does not include the Mahayava scriptures in its canon?",
"sub_queries": [
"What school does not include the Mahayava scriptures in its canon? Answer: the Theravada",
"the Theravada means what? Answer: The School of the Elders"
],
"supporting_context": [
"Buddhism: Only the Theravada school does not include the Mahayana scriptures in its canon. As the modern Theravada school is descended from a branch of Buddhism that diverged and established itself in Sri Lanka prior to the emergence of the Mahayana texts, debate exists as to whether the Theravada were historically included in the hinayana designation; in the modern era, this label is seen as derogatory, and is generally avoided.",
"Buddhism: Two major extant branches of Buddhism are generally recognized by scholars: Theravada (\"The School of the Elders\") and Mahayana (\"The Great Vehicle\"). Vajrayana, a body of teachings attributed to Indian siddhas, may be viewed as a third branch or merely a part of Mahayana. Theravada has a widespread following in Sri Lanka and Southeast Asia. Mahayana which includes the traditions of Pure Land, Zen, Nichiren Buddhism, Shingon, and Tiantai (Tendai) is found throughout East Asia. Tibetan Buddhism, which preserves the Vajrayana teachings of eighth century India, is practiced in regions surrounding the Himalayas, Mongolia and Kalmykia. Buddhists number between an estimated 488 million[web 1] and 535 million, making it one of the world's major religions."
]
},
"need_tools_kwargs": false,
"question": "What's the meaning of the name of the school that does not include the Mahayava scriptures in its canon?",
"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: A Time for Singing: A Time for Singing is a musical with music by John Morris, lyrics by Gerald Freedman and John Morris, and a book by Freedman and Morris. The work was based on Richard Llewellyn's novel of a Welsh mining village, \"How Green Was My Valley\". The show takes place in the memory of Protestant minister David Griffith, recalling conflict within the Morgan family over the possible formation of a miners' union within the village, and the romance between Griffith himself and Angharad of the Morgans, who ultimately marries the mine owner instead.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Northwestern's School of Communication"
]
},
"style": "rule"
}
|
{
"index": "17",
"interaction_kwargs": {
"full_context": [
"Document 1: A Time for Singing: A Time for Singing is a musical with music by John Morris, lyrics by Gerald Freedman and John Morris, and a book by Freedman and Morris. The work was based on Richard Llewellyn's novel of a Welsh mining village, \"How Green Was My Valley\". The show takes place in the memory of Protestant minister David Griffith, recalling conflict within the Morgan family over the possible formation of a miners' union within the village, and the romance between Griffith himself and Angharad of the Morgans, who ultimately marries the mine owner instead.",
"Document 2: Northwestern University: Northwestern's School of Communication has been especially fruitful in the number of actors, actresses, playwrights, and film and television writers and directors it has produced. Alumni who have made their mark on film and television include Ann-Margret, Warren Beatty, Jodie Markell, Paul Lynde, David Schwimmer, Anne Dudek, Zach Braff, Zooey Deschanel, Marg Helgenberger, Julia Louis-Dreyfus, Jerry Orbach, Jennifer Jones, Megan Mullally, John Cameron Mitchell, Dermot Mulroney, Charlton Heston, Richard Kind, Ana Gasteyer, Brad Hall, Shelley Long, William Daniels, Cloris Leachman, Bonnie Bartlett, Paula Prentiss, Richard Benjamin, Laura Innes, Charles Busch, Stephanie March, Tony Roberts, Jeri Ryan, Kimberly Williams-Paisley, McLean Stevenson, Tony Randall, Charlotte Rae, Paul Lynde, Patricia Neal, Nancy Dussault, Robert Reed, Mara Brock Akil, Greg Berlanti, Bill Nuss, Dusty Kay, Dan Shor, Seth Meyers, Frank DeCaro, Zach Gilford, Nicole Sullivan, Stephen Colbert, Sandra Seacat and Garry Marshall. Directors who were graduated from Northwestern include Gerald Freedman, Stuart Hagmann, Marshall W. Mason, and Mary Zimmerman. Lee Phillip Bell hosted a talk show in Chicago from 1952 to 1986 and co-created the Daytime Emmy Award-winning soap operas The Young and the Restless in 1973 and The Bold and the Beautiful in 1987. Alumni such as Sheldon Harnick, Stephanie D'Abruzzo, Heather Headley, Kristen Schaal, Lily Rabe, and Walter Kerr have distinguished themselves on Broadway, as has designer Bob Mackie. Amsterdam-based comedy theater Boom Chicago was founded by Northwestern alumni, and the school has become a training ground for future The Second City, I.O., ComedySportz, Mad TV and Saturday Night Live talent. Tam Spiva wrote scripts for The Brady Bunch and Gentle Ben. In New York, Los Angeles, and Chicago, the number of Northwestern alumni involved in theater, film, and television is so large that a perception has formed that there's such a thing as a \"Northwestern mafia.\""
],
"ground_truth": [
"Northwestern's School of Communication"
],
"name": "graph_construction",
"question": "Where did the director who provided the lyrics to A Time for Singing attend school?",
"sub_queries": [
"A Time for Singing >> lyrics by Answer: Gerald Freedman",
"Where did director Gerald Freedman attend school? Answer: Northwestern's School of Communication"
],
"supporting_context": [
"Northwestern University: Northwestern's School of Communication has been especially fruitful in the number of actors, actresses, playwrights, and film and television writers and directors it has produced. Alumni who have made their mark on film and television include Ann-Margret, Warren Beatty, Jodie Markell, Paul Lynde, David Schwimmer, Anne Dudek, Zach Braff, Zooey Deschanel, Marg Helgenberger, Julia Louis-Dreyfus, Jerry Orbach, Jennifer Jones, Megan Mullally, John Cameron Mitchell, Dermot Mulroney, Charlton Heston, Richard Kind, Ana Gasteyer, Brad Hall, Shelley Long, William Daniels, Cloris Leachman, Bonnie Bartlett, Paula Prentiss, Richard Benjamin, Laura Innes, Charles Busch, Stephanie March, Tony Roberts, Jeri Ryan, Kimberly Williams-Paisley, McLean Stevenson, Tony Randall, Charlotte Rae, Paul Lynde, Patricia Neal, Nancy Dussault, Robert Reed, Mara Brock Akil, Greg Berlanti, Bill Nuss, Dusty Kay, Dan Shor, Seth Meyers, Frank DeCaro, Zach Gilford, Nicole Sullivan, Stephen Colbert, Sandra Seacat and Garry Marshall. Directors who were graduated from Northwestern include Gerald Freedman, Stuart Hagmann, Marshall W. Mason, and Mary Zimmerman. Lee Phillip Bell hosted a talk show in Chicago from 1952 to 1986 and co-created the Daytime Emmy Award-winning soap operas The Young and the Restless in 1973 and The Bold and the Beautiful in 1987. Alumni such as Sheldon Harnick, Stephanie D'Abruzzo, Heather Headley, Kristen Schaal, Lily Rabe, and Walter Kerr have distinguished themselves on Broadway, as has designer Bob Mackie. Amsterdam-based comedy theater Boom Chicago was founded by Northwestern alumni, and the school has become a training ground for future The Second City, I.O., ComedySportz, Mad TV and Saturday Night Live talent. Tam Spiva wrote scripts for The Brady Bunch and Gentle Ben. In New York, Los Angeles, and Chicago, the number of Northwestern alumni involved in theater, film, and television is so large that a perception has formed that there's such a thing as a \"Northwestern mafia.\"",
"A Time for Singing: A Time for Singing is a musical with music by John Morris, lyrics by Gerald Freedman and John Morris, and a book by Freedman and Morris. The work was based on Richard Llewellyn's novel of a Welsh mining village, \"How Green Was My Valley\". The show takes place in the memory of Protestant minister David Griffith, recalling conflict within the Morgan family over the possible formation of a miners' union within the village, and the romance between Griffith himself and Angharad of the Morgans, who ultimately marries the mine owner instead."
]
},
"need_tools_kwargs": false,
"question": "Where did the director who provided the lyrics to A Time for Singing attend 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: Zaire: Zaire (/ zɑːˈɪər /), officially the Republic of Zaire (French: République du Zaïre; French pronunciation: (za. iʁ)), was the name for the Democratic Republic of the Congo that existed between 1971 and 1997 in Central Africa. The country was a one - party totalitarian dictatorship, run by Mobutu Sese Seko and his ruling Popular Movement of the Revolution party. Zaire was established following Mobutu's seizure of power in a military coup in 1965, following five years of political upheaval following independence known as the Congo Crisis. Zaire had a strongly centralist constitution and foreign assets were nationalised. The period is sometimes referred to as the Second Congolese Republic.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1960"
]
},
"style": "rule"
}
|
{
"index": "18",
"interaction_kwargs": {
"full_context": [
"Document 1: Zaire: Zaire (/ zɑːˈɪər /), officially the Republic of Zaire (French: République du Zaïre; French pronunciation: (za. iʁ)), was the name for the Democratic Republic of the Congo that existed between 1971 and 1997 in Central Africa. The country was a one - party totalitarian dictatorship, run by Mobutu Sese Seko and his ruling Popular Movement of the Revolution party. Zaire was established following Mobutu's seizure of power in a military coup in 1965, following five years of political upheaval following independence known as the Congo Crisis. Zaire had a strongly centralist constitution and foreign assets were nationalised. The period is sometimes referred to as the Second Congolese Republic.",
"Document 2: History of the Democratic Republic of the Congo: After an uprising by the Congolese people, Belgium surrendered to the independence of the Congo in 1960. However, the Congo remained unstable because tribal leaders had more power than the central government. Prime Minister Patrice Lumumba tried to restore order with the aid of the Soviet Union as part of the Cold War, causing the United States to support a coup led by Colonel Joseph Mobutu in 1965. Mobutu quickly seized complete power of the Congo and renamed the country Zaire. He sought to Africanize the country, changing his own name to Mobutu Sese Seko, and demanded that African citizens change their Western names to traditional African names. Mobutu sought to repress any opposition to his rule, in which he successfully did throughout the 1980s. However, with his regime weakened in the 1990s, Mobutu was forced to agree to a power - sharing government with the opposition party. Mobutu remained the head of state and promised elections within the next two years that never took place."
],
"ground_truth": [
"1960"
],
"name": "graph_construction",
"question": "When did the country formerly known as Zaire become independent?",
"sub_queries": [
"zaire is the former name of which african nation Answer: the Democratic Republic of the Congo",
"when did the Democratic Republic of the Congo become independent Answer: 1960"
],
"supporting_context": [
"History of the Democratic Republic of the Congo: After an uprising by the Congolese people, Belgium surrendered to the independence of the Congo in 1960. However, the Congo remained unstable because tribal leaders had more power than the central government. Prime Minister Patrice Lumumba tried to restore order with the aid of the Soviet Union as part of the Cold War, causing the United States to support a coup led by Colonel Joseph Mobutu in 1965. Mobutu quickly seized complete power of the Congo and renamed the country Zaire. He sought to Africanize the country, changing his own name to Mobutu Sese Seko, and demanded that African citizens change their Western names to traditional African names. Mobutu sought to repress any opposition to his rule, in which he successfully did throughout the 1980s. However, with his regime weakened in the 1990s, Mobutu was forced to agree to a power - sharing government with the opposition party. Mobutu remained the head of state and promised elections within the next two years that never took place.",
"Zaire: Zaire (/ zɑːˈɪər /), officially the Republic of Zaire (French: République du Zaïre; French pronunciation: (za. iʁ)), was the name for the Democratic Republic of the Congo that existed between 1971 and 1997 in Central Africa. The country was a one - party totalitarian dictatorship, run by Mobutu Sese Seko and his ruling Popular Movement of the Revolution party. Zaire was established following Mobutu's seizure of power in a military coup in 1965, following five years of political upheaval following independence known as the Congo Crisis. Zaire had a strongly centralist constitution and foreign assets were nationalised. The period is sometimes referred to as the Second Congolese Republic."
]
},
"need_tools_kwargs": false,
"question": "When did the country formerly known as Zaire 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: Peter and Paul Fortress: The Peter and Paul Fortress is the original citadel of St. Petersburg, Russia, founded by Peter the Great in 1703 and built to Domenico Trezzini's designs from 1706 to 1740 as a star fortress. In the early 1920s, it was still used as a prison and execution ground by the Bolshevik government.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Saint Petersburg"
]
},
"style": "rule"
}
|
{
"index": "19",
"interaction_kwargs": {
"full_context": [
"Document 1: Peter and Paul Fortress: The Peter and Paul Fortress is the original citadel of St. Petersburg, Russia, founded by Peter the Great in 1703 and built to Domenico Trezzini's designs from 1706 to 1740 as a star fortress. In the early 1920s, it was still used as a prison and execution ground by the Bolshevik government.",
"Document 2: Peter and Paul Fortress: Today it has been adapted as the central and most important part of the State Museum of Saint Petersburg History. The museum has gradually become virtually the sole owner of the fortress building, except the structure occupied by the Saint Petersburg Mint (Monetniy Dvor)."
],
"ground_truth": [
"Saint Petersburg"
],
"name": "graph_construction",
"question": "Where did Peter and Paul Fortress' designer die?",
"sub_queries": [
"Who designed Peter and Paul Fortress? Answer: Domenico Trezzini",
"Domenico Trezzini >> place of death Answer: Saint Petersburg"
],
"supporting_context": [
"Peter and Paul Fortress: Today it has been adapted as the central and most important part of the State Museum of Saint Petersburg History. The museum has gradually become virtually the sole owner of the fortress building, except the structure occupied by the Saint Petersburg Mint (Monetniy Dvor).",
"Peter and Paul Fortress: The Peter and Paul Fortress is the original citadel of St. Petersburg, Russia, founded by Peter the Great in 1703 and built to Domenico Trezzini's designs from 1706 to 1740 as a star fortress. In the early 1920s, it was still used as a prison and execution ground by the Bolshevik government."
]
},
"need_tools_kwargs": false,
"question": "Where did Peter and Paul Fortress' designer 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: Alt for Norge: Alt for Norge (\"All for Norway\", though marketed in the United States as \"The Great Norway Adventure\") is a Norwegian reality television series which debuted in 2010 and appears on TVNorge and hosted by . The reality show features Norwegian Americans participating in challenges relating to Norwegian history and culture, competing to win a reunion with their distant Norwegian relatives. The original Norwegian concept has also been exported to Sweden and Denmark.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1988"
]
},
"style": "rule"
}
|
{
"index": "20",
"interaction_kwargs": {
"full_context": [
"Document 1: Alt for Norge: Alt for Norge (\"All for Norway\", though marketed in the United States as \"The Great Norway Adventure\") is a Norwegian reality television series which debuted in 2010 and appears on TVNorge and hosted by . The reality show features Norwegian Americans participating in challenges relating to Norwegian history and culture, competing to win a reunion with their distant Norwegian relatives. The original Norwegian concept has also been exported to Sweden and Denmark.",
"Document 2: TVNorge: TVNorge went on the air on 5 December 1988 and was the first advertising-supported Norwegian channel. The channel was started with 50 000 NOK. The first broadcast was a live variety show from Oslo Cabaret with Swedish singer Lill-Babs and Norwegian pop group Tomboy as musical guests. Originally TVNorge broadcast via satellite and cable, later they have affiliated several local television broadcasters. The local broadcasters generally were allowed the 17.30-18.30 timeslot for local programming, along with a second slot from 19.30-20.30. The rest of the time was assigned to TVNorge's own schedule."
],
"ground_truth": [
"1988"
],
"name": "graph_construction",
"question": "When did the network which airs Alt for Norge start?",
"sub_queries": [
"Which original network is part of Alt for Norge? Answer: TVNorge",
"What is year of inception of TVNorge ? Answer: 1988"
],
"supporting_context": [
"Alt for Norge: Alt for Norge (\"All for Norway\", though marketed in the United States as \"The Great Norway Adventure\") is a Norwegian reality television series which debuted in 2010 and appears on TVNorge and hosted by . The reality show features Norwegian Americans participating in challenges relating to Norwegian history and culture, competing to win a reunion with their distant Norwegian relatives. The original Norwegian concept has also been exported to Sweden and Denmark.",
"TVNorge: TVNorge went on the air on 5 December 1988 and was the first advertising-supported Norwegian channel. The channel was started with 50 000 NOK. The first broadcast was a live variety show from Oslo Cabaret with Swedish singer Lill-Babs and Norwegian pop group Tomboy as musical guests. Originally TVNorge broadcast via satellite and cable, later they have affiliated several local television broadcasters. The local broadcasters generally were allowed the 17.30-18.30 timeslot for local programming, along with a second slot from 19.30-20.30. The rest of the time was assigned to TVNorge's own schedule."
]
},
"need_tools_kwargs": false,
"question": "When did the network which airs Alt for Norge start?",
"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: Crimean War: The Allies had had time to consider the problem. The French being brought around to agree that the key to the defence was the Malakoff.:441 Emphasis of the siege at Sevastopol shifted to the British left, against the fortifications on Malakoff hill.:339 In March, there was fighting by the French over a new fort being built by the Russians at Mamelon, located on a hill in front of the Malakoff. Several weeks of fighting saw little change in the front line, and the Mamelon remained in Russian hands.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"the Russian defences"
]
},
"style": "rule"
}
|
{
"index": "21",
"interaction_kwargs": {
"full_context": [
"Document 1: Crimean War: The Allies had had time to consider the problem. The French being brought around to agree that the key to the defence was the Malakoff.:441 Emphasis of the siege at Sevastopol shifted to the British left, against the fortifications on Malakoff hill.:339 In March, there was fighting by the French over a new fort being built by the Russians at Mamelon, located on a hill in front of the Malakoff. Several weeks of fighting saw little change in the front line, and the Mamelon remained in Russian hands.",
"Document 2: Crimean War: For months each side had been building forward rifle pits and defensive positions, which resulted in many skirmishes. Artillery fire aiming to gain superiority over the enemy guns.:450–462 September saw the final assault. On 5 September, another French bombardment (the sixth) was followed by an assault by the French Army on 8 September resulting in the capture of the Malakoff by the French, and following their failure to retake it, the collapse of the Russian defences. Meanwhile, the British captured the Great Redan, just south of the city of Sevastopol. The Russians retreated to the north, blowing up their magazines and the city fell on 9 September 1855 after a 337-day-long siege.:106"
],
"ground_truth": [
"the Russian defences"
],
"name": "graph_construction",
"question": "Who failed to take back what the French believed instrumental in their defense?",
"sub_queries": [
"What did the French believe was instrumental in their defense? Answer: the Malakoff",
"Who failed to take back the Malakoff ? Answer: the Russian defences"
],
"supporting_context": [
"Crimean War: For months each side had been building forward rifle pits and defensive positions, which resulted in many skirmishes. Artillery fire aiming to gain superiority over the enemy guns.:450–462 September saw the final assault. On 5 September, another French bombardment (the sixth) was followed by an assault by the French Army on 8 September resulting in the capture of the Malakoff by the French, and following their failure to retake it, the collapse of the Russian defences. Meanwhile, the British captured the Great Redan, just south of the city of Sevastopol. The Russians retreated to the north, blowing up their magazines and the city fell on 9 September 1855 after a 337-day-long siege.:106",
"Crimean War: The Allies had had time to consider the problem. The French being brought around to agree that the key to the defence was the Malakoff.:441 Emphasis of the siege at Sevastopol shifted to the British left, against the fortifications on Malakoff hill.:339 In March, there was fighting by the French over a new fort being built by the Russians at Mamelon, located on a hill in front of the Malakoff. Several weeks of fighting saw little change in the front line, and the Mamelon remained in Russian hands."
]
},
"need_tools_kwargs": false,
"question": "Who failed to take back what the French believed instrumental in their defense?",
"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: Modern synthesis (20th century): The modern synthesis was the early 20th - century synthesis reconciling Charles Darwin's theory of evolution and Gregor Mendel's ideas on heredity in a joint mathematical framework. Julian Huxley coined the term in his 1942 book, Evolution: The Modern Synthesis.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"bio"
]
},
"style": "rule"
}
|
{
"index": "22",
"interaction_kwargs": {
"full_context": [
"Document 1: Modern synthesis (20th century): The modern synthesis was the early 20th - century synthesis reconciling Charles Darwin's theory of evolution and Gregor Mendel's ideas on heredity in a joint mathematical framework. Julian Huxley coined the term in his 1942 book, Evolution: The Modern Synthesis.",
"Document 2: The Science of Life: The Science of Life is a book written by H. G. Wells, Julian Huxley and G. P. Wells, published in three volumes by The Waverley Publishing Company Ltd in 1929–30, giving a popular account of all major aspects of biology as known in the 1920s. It has been called \"the first modern textbook of biology\" and \"the best popular introduction to the biological sciences\". Wells's most recent biographer notes that \"The Science of Life\" \"is not quite as dated as one might suppose\"."
],
"ground_truth": [
"bio"
],
"name": "graph_construction",
"question": "What is the field of work of the proposer of the modern synthetic theory of evolution?",
"sub_queries": [
"who proposed the modern synthetic theory of evolution Answer: Julian Huxley",
"Julian Huxley >> field of work Answer: bio"
],
"supporting_context": [
"Modern synthesis (20th century): The modern synthesis was the early 20th - century synthesis reconciling Charles Darwin's theory of evolution and Gregor Mendel's ideas on heredity in a joint mathematical framework. Julian Huxley coined the term in his 1942 book, Evolution: The Modern Synthesis.",
"The Science of Life: The Science of Life is a book written by H. G. Wells, Julian Huxley and G. P. Wells, published in three volumes by The Waverley Publishing Company Ltd in 1929–30, giving a popular account of all major aspects of biology as known in the 1920s. It has been called \"the first modern textbook of biology\" and \"the best popular introduction to the biological sciences\". Wells's most recent biographer notes that \"The Science of Life\" \"is not quite as dated as one might suppose\"."
]
},
"need_tools_kwargs": false,
"question": "What is the field of work of the proposer of the modern synthetic theory of evolution?",
"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: Derek Shepherd: In season 11, Derek is involved in a fatal car accident while driving to the airport for his final trip to Washington. He is able to hear and process auditory input, but unable to speak. He is recognized by Winnie, one of the victims of a crash he assisted in earlier, who tells the surgeons that their patient's name is Derek and that he is a surgeon as well. The hospital he was taken to was understaffed and his head injury was not detected quickly enough by the interns on duty that night. Although the neurosurgeon on call is paged multiple times, he takes too long to arrive and Derek is declared brain dead. Police arrive at Meredith's door and take her to see Derek, where she consents to removing him from life support. At the time of his death, Meredith was pregnant with their third child. She gives birth to a daughter whom she names Ellis after her mother.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"filming for the eleventh season would begin on July 25, 2014"
]
},
"style": "rule"
}
|
{
"index": "23",
"interaction_kwargs": {
"full_context": [
"Document 1: Derek Shepherd: In season 11, Derek is involved in a fatal car accident while driving to the airport for his final trip to Washington. He is able to hear and process auditory input, but unable to speak. He is recognized by Winnie, one of the victims of a crash he assisted in earlier, who tells the surgeons that their patient's name is Derek and that he is a surgeon as well. The hospital he was taken to was understaffed and his head injury was not detected quickly enough by the interns on duty that night. Although the neurosurgeon on call is paged multiple times, he takes too long to arrive and Derek is declared brain dead. Police arrive at Meredith's door and take her to see Derek, where she consents to removing him from life support. At the time of his death, Meredith was pregnant with their third child. She gives birth to a daughter whom she names Ellis after her mother.",
"Document 2: Grey's Anatomy (season 11): Not even a week after the Season 10 finale episode aired, the Grey's Anatomy team of writers began collaborating on ideas for Season 11 storylines. Shonda Rhimes tweeted that they were hard at work in the writing room, but would have the month of June off before coming back in full swing to write actual episodes. After the 4th of July weekend, Rhimes tweeted that the writers' room was once again buzzing, as the team had returned from vacation to start writing new episodes for Season 11. Camilla Luddington confirmed that the filming for the eleventh season would begin on July 25, 2014."
],
"ground_truth": [
"filming for the eleventh season would begin on July 25, 2014"
],
"name": "graph_construction",
"question": "When was the season of Greys Anatomy when Derek died filmed?",
"sub_queries": [
"what season did derek die in greys anatomy Answer: In season 11",
"when was In season 11 of greys anatomy filmed Answer: filming for the eleventh season would begin on July 25, 2014"
],
"supporting_context": [
"Derek Shepherd: In season 11, Derek is involved in a fatal car accident while driving to the airport for his final trip to Washington. He is able to hear and process auditory input, but unable to speak. He is recognized by Winnie, one of the victims of a crash he assisted in earlier, who tells the surgeons that their patient's name is Derek and that he is a surgeon as well. The hospital he was taken to was understaffed and his head injury was not detected quickly enough by the interns on duty that night. Although the neurosurgeon on call is paged multiple times, he takes too long to arrive and Derek is declared brain dead. Police arrive at Meredith's door and take her to see Derek, where she consents to removing him from life support. At the time of his death, Meredith was pregnant with their third child. She gives birth to a daughter whom she names Ellis after her mother.",
"Grey's Anatomy (season 11): Not even a week after the Season 10 finale episode aired, the Grey's Anatomy team of writers began collaborating on ideas for Season 11 storylines. Shonda Rhimes tweeted that they were hard at work in the writing room, but would have the month of June off before coming back in full swing to write actual episodes. After the 4th of July weekend, Rhimes tweeted that the writers' room was once again buzzing, as the team had returned from vacation to start writing new episodes for Season 11. Camilla Luddington confirmed that the filming for the eleventh season would begin on July 25, 2014."
]
},
"need_tools_kwargs": false,
"question": "When was the season of Greys Anatomy when Derek died filmed?",
"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: Nike, Inc.: In 1976, the company hired John Brown and Partners, based in Seattle, as its first advertising agency. The following year, the agency created the first ``brand ad ''for Nike, called`` There is no finish line'', in which no Nike product was shown. By 1980, Nike had attained a 50% market share in the U.S. athletic shoe market, and the company went public in December of that year.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"1980"
]
},
"style": "rule"
}
|
{
"index": "24",
"interaction_kwargs": {
"full_context": [
"Document 1: Nike, Inc.: In 1976, the company hired John Brown and Partners, based in Seattle, as its first advertising agency. The following year, the agency created the first ``brand ad ''for Nike, called`` There is no finish line'', in which no Nike product was shown. By 1980, Nike had attained a 50% market share in the U.S. athletic shoe market, and the company went public in December of that year.",
"Document 2: IPod: Many accessories have been made for the iPod line. A large number are made by third party companies, although many, such as the iPod Hi-Fi, are made by Apple. Some accessories add extra features that other music players have, such as sound recorders, FM radio tuners, wired remote controls, and audio/visual cables for TV connections. Other accessories offer unique features like the Nike+iPod pedometer and the iPod Camera Connector. Other notable accessories include external speakers, wireless remote controls, protective case, screen films, and wireless earphones. Among the first accessory manufacturers were Griffin Technology, Belkin, JBL, Bose, Monster Cable, and SendStation."
],
"ground_truth": [
"1980"
],
"name": "graph_construction",
"question": "When did the manufacturer of a pedometer accessory for the iPod become a publicly traded company?",
"sub_queries": [
"Who manufactures a pedometer accessory for the iPod? Answer: Nike",
"when did Nike become a publicly traded company Answer: 1980"
],
"supporting_context": [
"IPod: Many accessories have been made for the iPod line. A large number are made by third party companies, although many, such as the iPod Hi-Fi, are made by Apple. Some accessories add extra features that other music players have, such as sound recorders, FM radio tuners, wired remote controls, and audio/visual cables for TV connections. Other accessories offer unique features like the Nike+iPod pedometer and the iPod Camera Connector. Other notable accessories include external speakers, wireless remote controls, protective case, screen films, and wireless earphones. Among the first accessory manufacturers were Griffin Technology, Belkin, JBL, Bose, Monster Cable, and SendStation.",
"Nike, Inc.: In 1976, the company hired John Brown and Partners, based in Seattle, as its first advertising agency. The following year, the agency created the first ``brand ad ''for Nike, called`` There is no finish line'', in which no Nike product was shown. By 1980, Nike had attained a 50% market share in the U.S. athletic shoe market, and the company went public in December of that year."
]
},
"need_tools_kwargs": false,
"question": "When did the manufacturer of a pedometer accessory for the iPod become a publicly traded company?",
"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: I Am Love (album): I Am Love is the seventh studio album by American recording artist Peabo Bryson, released in 1981 under Capitol Records. The album features singles, \"There's No Guarantee\" and the top ten R&B hit, \"Let the Feeling Flow\".",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Capitol Records"
]
},
"style": "rule"
}
|
{
"index": "25",
"interaction_kwargs": {
"full_context": [
"Document 1: I Am Love (album): I Am Love is the seventh studio album by American recording artist Peabo Bryson, released in 1981 under Capitol Records. The album features singles, \"There's No Guarantee\" and the top ten R&B hit, \"Let the Feeling Flow\".",
"Document 2: Beauty and the Beast (Disney song): ``Beauty and the Beast ''is a song written by lyricist Howard Ashman and composer Alan Menken for the Disney animated feature film Beauty and the Beast (1991). The film's theme song, the Broadway - inspired ballad was first recorded by British - American actress Angela Lansbury in her role as the voice of the character Mrs. Potts, and essentially describes the relationship between its two main characters Belle and the Beast, specifically how the couple has learned to accept their differences and in turn change each other for the better. Additionally, the song's lyrics imply that the feeling of love is as timeless and ageless as a`` tale as old as time''. Lansbury's rendition is heard during the famous ballroom sequence between Belle and the Beast, while a shorted chorale version plays in the closing scenes of the film, and the song's motif features frequently in other pieces of Menken's film score. ``Beauty and the Beast ''was subsequently recorded as a pop duet by Canadian singer Celine Dion and American singer Peabo Bryson, and released as the only single from the film's soundtrack on November 25, 1991."
],
"ground_truth": [
"Capitol Records"
],
"name": "graph_construction",
"question": "What is the record label for the person who sang Beauty and the Beast with Celine Dion?",
"sub_queries": [
"who did celine dion sing beauty and the beast with Answer: Peabo Bryson",
"Peabo Bryson >> record label Answer: Capitol Records"
],
"supporting_context": [
"I Am Love (album): I Am Love is the seventh studio album by American recording artist Peabo Bryson, released in 1981 under Capitol Records. The album features singles, \"There's No Guarantee\" and the top ten R&B hit, \"Let the Feeling Flow\".",
"Beauty and the Beast (Disney song): ``Beauty and the Beast ''is a song written by lyricist Howard Ashman and composer Alan Menken for the Disney animated feature film Beauty and the Beast (1991). The film's theme song, the Broadway - inspired ballad was first recorded by British - American actress Angela Lansbury in her role as the voice of the character Mrs. Potts, and essentially describes the relationship between its two main characters Belle and the Beast, specifically how the couple has learned to accept their differences and in turn change each other for the better. Additionally, the song's lyrics imply that the feeling of love is as timeless and ageless as a`` tale as old as time''. Lansbury's rendition is heard during the famous ballroom sequence between Belle and the Beast, while a shorted chorale version plays in the closing scenes of the film, and the song's motif features frequently in other pieces of Menken's film score. ``Beauty and the Beast ''was subsequently recorded as a pop duet by Canadian singer Celine Dion and American singer Peabo Bryson, and released as the only single from the film's soundtrack on November 25, 1991."
]
},
"need_tools_kwargs": false,
"question": "What is the record label for the person who sang Beauty and the Beast with Celine Dion?",
"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: Iran: Iranian scientists outside Iran have also made some major contributions to science. In 1960, Ali Javan co-invented the first gas laser, and fuzzy set theory was introduced by Lotfi Zadeh. Iranian cardiologist, Tofy Mussivand invented and developed the first artificial cardiac pump, the precursor of the artificial heart. Furthering research and treatment of diabetes, HbA1c was discovered by Samuel Rahbar. Iranian physics is especially strong in string theory, with many papers being published in Iran. Iranian-American string theorist Kamran Vafa proposed the Vafa-Witten theorem together with Edward Witten. In August 2014, Maryam Mirzakhani became the first-ever woman, as well as the first-ever Iranian, to receive the Fields Medal, the highest prize in mathematics.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"M.I.T."
]
},
"style": "rule"
}
|
{
"index": "26",
"interaction_kwargs": {
"full_context": [
"Document 1: Iran: Iranian scientists outside Iran have also made some major contributions to science. In 1960, Ali Javan co-invented the first gas laser, and fuzzy set theory was introduced by Lotfi Zadeh. Iranian cardiologist, Tofy Mussivand invented and developed the first artificial cardiac pump, the precursor of the artificial heart. Furthering research and treatment of diabetes, HbA1c was discovered by Samuel Rahbar. Iranian physics is especially strong in string theory, with many papers being published in Iran. Iranian-American string theorist Kamran Vafa proposed the Vafa-Witten theorem together with Edward Witten. In August 2014, Maryam Mirzakhani became the first-ever woman, as well as the first-ever Iranian, to receive the Fields Medal, the highest prize in mathematics.",
"Document 2: Fritz Goro: Goro documented many major scientific breakthroughs, including pictures of the first plutonium ever produced, the first atomic-bomb test, the advent of microelectronics, the ruby laser, as well as photos of Ali Javan timing the frequency of light at M.I.T. laboratory."
],
"ground_truth": [
"M.I.T."
],
"name": "graph_construction",
"question": "Who is the employer of the Iranian scientist who co-invented the first gas laser?",
"sub_queries": [
"Which Iranian scientist co-invented the first gas laser? Answer: Ali Javan",
"Ali Javan >> employer Answer: M.I.T."
],
"supporting_context": [
"Fritz Goro: Goro documented many major scientific breakthroughs, including pictures of the first plutonium ever produced, the first atomic-bomb test, the advent of microelectronics, the ruby laser, as well as photos of Ali Javan timing the frequency of light at M.I.T. laboratory.",
"Iran: Iranian scientists outside Iran have also made some major contributions to science. In 1960, Ali Javan co-invented the first gas laser, and fuzzy set theory was introduced by Lotfi Zadeh. Iranian cardiologist, Tofy Mussivand invented and developed the first artificial cardiac pump, the precursor of the artificial heart. Furthering research and treatment of diabetes, HbA1c was discovered by Samuel Rahbar. Iranian physics is especially strong in string theory, with many papers being published in Iran. Iranian-American string theorist Kamran Vafa proposed the Vafa-Witten theorem together with Edward Witten. In August 2014, Maryam Mirzakhani became the first-ever woman, as well as the first-ever Iranian, to receive the Fields Medal, the highest prize in mathematics."
]
},
"need_tools_kwargs": false,
"question": "Who is the employer of the Iranian scientist who co-invented the first gas laser?",
"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: List of NBA players with most championships: Boston Celtics center Bill Russell holds the record for the most NBA championships won with 11 titles during his 13 - year playing career. He won his first championship with the Boston Celtics in his rookie year. Afterwards, he went on to win 10 championships in the next 12 years, including eight consecutive championships from 1959 to 1966. He won the last two championships in 1968 and 1969 as player - coach. Russell's teammate, Sam Jones, won 10 championships from 1959 to 1969, the second most in NBA history. Four Celtics players, Tom Heinsohn, K.C. Jones, Satch Sanders and John Havlicek, won eight championships each. Two other Celtics, Jim Loscutoff and Frank Ramsey, won seven championships each. Four players, Bob Cousy, Kareem Abdul - Jabbar, Michael Jordan and Scottie Pippen, won six championships each. Jordan and Pippen are members of the Chicago Bulls team who won three consecutive championships twice in the 1990s. George Mikan won 2 championships in the NBL before it merged with the BAA to form the NBA, and won 5 championships in the NBA.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"eight"
]
},
"style": "rule"
}
|
{
"index": "27",
"interaction_kwargs": {
"full_context": [
"Document 1: List of NBA players with most championships: Boston Celtics center Bill Russell holds the record for the most NBA championships won with 11 titles during his 13 - year playing career. He won his first championship with the Boston Celtics in his rookie year. Afterwards, he went on to win 10 championships in the next 12 years, including eight consecutive championships from 1959 to 1966. He won the last two championships in 1968 and 1969 as player - coach. Russell's teammate, Sam Jones, won 10 championships from 1959 to 1969, the second most in NBA history. Four Celtics players, Tom Heinsohn, K.C. Jones, Satch Sanders and John Havlicek, won eight championships each. Two other Celtics, Jim Loscutoff and Frank Ramsey, won seven championships each. Four players, Bob Cousy, Kareem Abdul - Jabbar, Michael Jordan and Scottie Pippen, won six championships each. Jordan and Pippen are members of the Chicago Bulls team who won three consecutive championships twice in the 1990s. George Mikan won 2 championships in the NBL before it merged with the BAA to form the NBA, and won 5 championships in the NBA.",
"Document 2: NBA Finals: Most years in Finals (12) -- Bill Russell Most games played in Finals (70) -- Bill Russell Most career points in Finals (1,679) -- Jerry West Most career assists in Finals (584) -- Magic Johnson Most career rebounds in Finals (1,718) -- Bill Russell Most career blocks in Finals (116) -- Kareem Abdul - Jabbar Most career steals in Finals (102) -- Magic Johnson Most career turnovers in Finals (190) -- Magic Johnson"
],
"ground_truth": [
"eight"
],
"name": "graph_construction",
"question": "How many championships in a row were won by the person who played in the most NBA finals games?",
"sub_queries": [
"who has played in the most nba finals games Answer: Bill Russell",
"how many championships in a row did Bill Russell win Answer: eight"
],
"supporting_context": [
"List of NBA players with most championships: Boston Celtics center Bill Russell holds the record for the most NBA championships won with 11 titles during his 13 - year playing career. He won his first championship with the Boston Celtics in his rookie year. Afterwards, he went on to win 10 championships in the next 12 years, including eight consecutive championships from 1959 to 1966. He won the last two championships in 1968 and 1969 as player - coach. Russell's teammate, Sam Jones, won 10 championships from 1959 to 1969, the second most in NBA history. Four Celtics players, Tom Heinsohn, K.C. Jones, Satch Sanders and John Havlicek, won eight championships each. Two other Celtics, Jim Loscutoff and Frank Ramsey, won seven championships each. Four players, Bob Cousy, Kareem Abdul - Jabbar, Michael Jordan and Scottie Pippen, won six championships each. Jordan and Pippen are members of the Chicago Bulls team who won three consecutive championships twice in the 1990s. George Mikan won 2 championships in the NBL before it merged with the BAA to form the NBA, and won 5 championships in the NBA.",
"NBA Finals: Most years in Finals (12) -- Bill Russell Most games played in Finals (70) -- Bill Russell Most career points in Finals (1,679) -- Jerry West Most career assists in Finals (584) -- Magic Johnson Most career rebounds in Finals (1,718) -- Bill Russell Most career blocks in Finals (116) -- Kareem Abdul - Jabbar Most career steals in Finals (102) -- Magic Johnson Most career turnovers in Finals (190) -- Magic Johnson"
]
},
"need_tools_kwargs": false,
"question": "How many championships in a row were won by the person who played in the most NBA finals games?",
"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: Achanak (1973 film): Achanak (, translation: Suddenly) is a 1973 Indian Hindi film, directed by Gulzar, written by Khwaja Ahmad Abbas, and starring Vinod Khanna. Gulzar received a Filmfare nomination as Best Director for this film. Even though Gulzar is an accomplished lyricist, this film did not have any songs in it. K.A. Abbas earned a Filmfare nomination for best story. It is inspired by the real-life sensational 1958 murder case KM Nanavati v State of Maharashtra.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Hindi"
]
},
"style": "rule"
}
|
{
"index": "28",
"interaction_kwargs": {
"full_context": [
"Document 1: Achanak (1973 film): Achanak (, translation: Suddenly) is a 1973 Indian Hindi film, directed by Gulzar, written by Khwaja Ahmad Abbas, and starring Vinod Khanna. Gulzar received a Filmfare nomination as Best Director for this film. Even though Gulzar is an accomplished lyricist, this film did not have any songs in it. K.A. Abbas earned a Filmfare nomination for best story. It is inspired by the real-life sensational 1958 murder case KM Nanavati v State of Maharashtra.",
"Document 2: Koyelaanchal: Koyelaanchal is a 2014 Bollywood film produced and directed by Ashu Trikha, starring Vinod Khanna, Sunil Shetty, Vipinno and Roopali Krishnarao."
],
"ground_truth": [
"Hindi"
],
"name": "graph_construction",
"question": "In what language is the star of Koyelaanchal fluent?",
"sub_queries": [
"Who featured in the film Koyelaanchal? Answer: Vinod Khanna",
"Vinod Khanna >> languages spoken, written or signed Answer: Hindi"
],
"supporting_context": [
"Achanak (1973 film): Achanak (, translation: Suddenly) is a 1973 Indian Hindi film, directed by Gulzar, written by Khwaja Ahmad Abbas, and starring Vinod Khanna. Gulzar received a Filmfare nomination as Best Director for this film. Even though Gulzar is an accomplished lyricist, this film did not have any songs in it. K.A. Abbas earned a Filmfare nomination for best story. It is inspired by the real-life sensational 1958 murder case KM Nanavati v State of Maharashtra.",
"Koyelaanchal: Koyelaanchal is a 2014 Bollywood film produced and directed by Ashu Trikha, starring Vinod Khanna, Sunil Shetty, Vipinno and Roopali Krishnarao."
]
},
"need_tools_kwargs": false,
"question": "In what language is the star of Koyelaanchal fluent?",
"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: Carl Öst: Carl Öst, (19 January 1908 in Alfta Parish – 13 February 1988 in Ovanåker Parish) was a Swedish singer and musician playing the violin and guitar. Originally playing folk music, he later switched to Christian music.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"violin"
]
},
"style": "rule"
}
|
{
"index": "29",
"interaction_kwargs": {
"full_context": [
"Document 1: Carl Öst: Carl Öst, (19 January 1908 in Alfta Parish – 13 February 1988 in Ovanåker Parish) was a Swedish singer and musician playing the violin and guitar. Originally playing folk music, he later switched to Christian music.",
"Document 2: Vi skall fara bortom månen: Vi skall fara bortom månen is a s Christian song written by Carl Öst, describing the importance of faith with references to the Space Race between the United States and the USSR. The song was recorded by him on the EP record \"Carl Öst sjunger till gitarr\", released 1966."
],
"ground_truth": [
"violin"
],
"name": "graph_construction",
"question": "What instrument did the artiste for Vi skall fara bortom månen play?",
"sub_queries": [
"Who was the artiste for Vi skall fara bortom månen? Answer: Carl Öst",
"Carl Öst >> instrument Answer: violin"
],
"supporting_context": [
"Vi skall fara bortom månen: Vi skall fara bortom månen is a s Christian song written by Carl Öst, describing the importance of faith with references to the Space Race between the United States and the USSR. The song was recorded by him on the EP record \"Carl Öst sjunger till gitarr\", released 1966.",
"Carl Öst: Carl Öst, (19 January 1908 in Alfta Parish – 13 February 1988 in Ovanåker Parish) was a Swedish singer and musician playing the violin and guitar. Originally playing folk music, he later switched to Christian music."
]
},
"need_tools_kwargs": false,
"question": "What instrument did the artiste for Vi skall fara bortom månen play?",
"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: Strasbourg: In 1949, the city was chosen to be the seat of the Council of Europe with its European Court of Human Rights and European Pharmacopoeia. Since 1952, the European Parliament has met in Strasbourg, which was formally designated its official 'seat' at the Edinburgh meeting of the European Council of EU heads of state and government in December 1992. (This position was reconfirmed and given treaty status in the 1997 Treaty of Amsterdam). However, only the (four-day) plenary sessions of the Parliament are held in Strasbourg each month, with all other business being conducted in Brussels and Luxembourg. Those sessions take place in the Immeuble Louise Weiss, inaugurated in 1999, which houses the largest parliamentary assembly room in Europe and of any democratic institution in the world. Before that, the EP sessions had to take place in the main Council of Europe building, the Palace of Europe, whose unusual inner architecture had become a familiar sight to European TV audiences. In 1992, Strasbourg became the seat of the Franco-German TV channel and movie-production society Arte.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2001"
]
},
"style": "rule"
}
|
{
"index": "30",
"interaction_kwargs": {
"full_context": [
"Document 1: Strasbourg: In 1949, the city was chosen to be the seat of the Council of Europe with its European Court of Human Rights and European Pharmacopoeia. Since 1952, the European Parliament has met in Strasbourg, which was formally designated its official 'seat' at the Edinburgh meeting of the European Council of EU heads of state and government in December 1992. (This position was reconfirmed and given treaty status in the 1997 Treaty of Amsterdam). However, only the (four-day) plenary sessions of the Parliament are held in Strasbourg each month, with all other business being conducted in Brussels and Luxembourg. Those sessions take place in the Immeuble Louise Weiss, inaugurated in 1999, which houses the largest parliamentary assembly room in Europe and of any democratic institution in the world. Before that, the EP sessions had to take place in the main Council of Europe building, the Palace of Europe, whose unusual inner architecture had become a familiar sight to European TV audiences. In 1992, Strasbourg became the seat of the Franco-German TV channel and movie-production society Arte.",
"Document 2: Convention on Cybercrime: The Convention and its Explanatory Report was adopted by the Committee of Ministers of the Council of Europe at its 109th Session on 8 November 2001. It was opened for signature in Budapest, on 23 November 2001 and it entered into force on 1 July 2004. As of December 2016, 52 states have ratified the convention, while a further four states had signed the convention but not ratified it."
],
"ground_truth": [
"2001"
],
"name": "graph_construction",
"question": "What year did the council which was seated in 1949 adopt the convention of cybercrime in?",
"sub_queries": [
"What council was the city given a seat for in 1949? Answer: Council of Europe",
"Council of Europe adopted the convention of cybercrime in ____ Answer: 2001"
],
"supporting_context": [
"Convention on Cybercrime: The Convention and its Explanatory Report was adopted by the Committee of Ministers of the Council of Europe at its 109th Session on 8 November 2001. It was opened for signature in Budapest, on 23 November 2001 and it entered into force on 1 July 2004. As of December 2016, 52 states have ratified the convention, while a further four states had signed the convention but not ratified it.",
"Strasbourg: In 1949, the city was chosen to be the seat of the Council of Europe with its European Court of Human Rights and European Pharmacopoeia. Since 1952, the European Parliament has met in Strasbourg, which was formally designated its official 'seat' at the Edinburgh meeting of the European Council of EU heads of state and government in December 1992. (This position was reconfirmed and given treaty status in the 1997 Treaty of Amsterdam). However, only the (four-day) plenary sessions of the Parliament are held in Strasbourg each month, with all other business being conducted in Brussels and Luxembourg. Those sessions take place in the Immeuble Louise Weiss, inaugurated in 1999, which houses the largest parliamentary assembly room in Europe and of any democratic institution in the world. Before that, the EP sessions had to take place in the main Council of Europe building, the Palace of Europe, whose unusual inner architecture had become a familiar sight to European TV audiences. In 1992, Strasbourg became the seat of the Franco-German TV channel and movie-production society Arte."
]
},
"need_tools_kwargs": false,
"question": "What year did the council which was seated in 1949 adopt the convention of cybercrime 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: A Song of Ice and Fire: The Winds of Winter will resolve the cliffhangers from A Dance with Dragons early on and ``will open with the two big battles that (the fifth book) was building up to, the battle in the ice and the battle (...) of Slaver's Bay. And then take it from there. ''By the middle of 2010, Martin had already finished five chapters of The Winds of Winter from the viewpoints of Sansa Stark, Arya Stark, Arianne Martell, and Aeron Greyjoy, accumulating to around 100 completed pages. After the publication of A Dance with Dragons in 2011, Martin announced he would return to writing in January 2012. He spent the meantime on book tours, conventions, and continued working on his The World of Ice & Fire companion guide and a new Tales of Dunk and Egg novella.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2010"
]
},
"style": "rule"
}
|
{
"index": "31",
"interaction_kwargs": {
"full_context": [
"Document 1: A Song of Ice and Fire: The Winds of Winter will resolve the cliffhangers from A Dance with Dragons early on and ``will open with the two big battles that (the fifth book) was building up to, the battle in the ice and the battle (...) of Slaver's Bay. And then take it from there. ''By the middle of 2010, Martin had already finished five chapters of The Winds of Winter from the viewpoints of Sansa Stark, Arya Stark, Arianne Martell, and Aeron Greyjoy, accumulating to around 100 completed pages. After the publication of A Dance with Dragons in 2011, Martin announced he would return to writing in January 2012. He spent the meantime on book tours, conventions, and continued working on his The World of Ice & Fire companion guide and a new Tales of Dunk and Egg novella.",
"Document 2: Game of Thrones (season 7): Depending upon the release of George R.R. Martin's forthcoming The Winds of Winter, the seventh season may comprise original material not found in the A Song of Ice and Fire series. According to previous reports, some of the show's sixth season had consisted of material revealed to the writers of the television series during discussions with Martin."
],
"ground_truth": [
"2010"
],
"name": "graph_construction",
"question": "When did the author of season 7 of game of thrones begin writing Winds of Winter?",
"sub_queries": [
"who is writing season 7 of game of thrones Answer: George R.R. Martin",
"when did George R.R. Martin start writing winds of winter Answer: 2010"
],
"supporting_context": [
"Game of Thrones (season 7): Depending upon the release of George R.R. Martin's forthcoming The Winds of Winter, the seventh season may comprise original material not found in the A Song of Ice and Fire series. According to previous reports, some of the show's sixth season had consisted of material revealed to the writers of the television series during discussions with Martin.",
"A Song of Ice and Fire: The Winds of Winter will resolve the cliffhangers from A Dance with Dragons early on and ``will open with the two big battles that (the fifth book) was building up to, the battle in the ice and the battle (...) of Slaver's Bay. And then take it from there. ''By the middle of 2010, Martin had already finished five chapters of The Winds of Winter from the viewpoints of Sansa Stark, Arya Stark, Arianne Martell, and Aeron Greyjoy, accumulating to around 100 completed pages. After the publication of A Dance with Dragons in 2011, Martin announced he would return to writing in January 2012. He spent the meantime on book tours, conventions, and continued working on his The World of Ice & Fire companion guide and a new Tales of Dunk and Egg novella."
]
},
"need_tools_kwargs": false,
"question": "When did the author of season 7 of game of thrones begin writing Winds of Winter?",
"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: Hugo Schiff: Hugo (Ugo) Schiff (26 April 1834 – 8 September 1915) was an Italian naturalized chemist, German by nationality. He discovered Schiff bases and other imines, and was responsible for research into aldehydes; leading to his development of the Schiff test. He also worked in the field of amino acids and the Biuret reagent.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Italian"
]
},
"style": "rule"
}
|
{
"index": "32",
"interaction_kwargs": {
"full_context": [
"Document 1: Hugo Schiff: Hugo (Ugo) Schiff (26 April 1834 – 8 September 1915) was an Italian naturalized chemist, German by nationality. He discovered Schiff bases and other imines, and was responsible for research into aldehydes; leading to his development of the Schiff test. He also worked in the field of amino acids and the Biuret reagent.",
"Document 2: Schiff test: The Schiff test is an early organic chemistry name reaction developed by Hugo Schiff, and is a relatively general chemical test for detection of many organic aldehydes that has also found use in the staining of biological tissues. The Schiff reagent is the reaction product of a dye formulation such as fuchsin and sodium bisulfite; pararosaniline (which lacks an aromatic methyl group) and new fuchsin (which is uniformly mono-methylated \"ortho\" to the dye's amine functionalities) are not dye alternatives with comparable detection chemistry."
],
"ground_truth": [
"Italian"
],
"name": "graph_construction",
"question": "What languages are spoken, written or signed by the person the Schiff test is named after?",
"sub_queries": [
"Whom is Schiff test named after? Answer: Hugo Schiff",
"Hugo Schiff >> languages spoken, written or signed Answer: Italian"
],
"supporting_context": [
"Hugo Schiff: Hugo (Ugo) Schiff (26 April 1834 – 8 September 1915) was an Italian naturalized chemist, German by nationality. He discovered Schiff bases and other imines, and was responsible for research into aldehydes; leading to his development of the Schiff test. He also worked in the field of amino acids and the Biuret reagent.",
"Schiff test: The Schiff test is an early organic chemistry name reaction developed by Hugo Schiff, and is a relatively general chemical test for detection of many organic aldehydes that has also found use in the staining of biological tissues. The Schiff reagent is the reaction product of a dye formulation such as fuchsin and sodium bisulfite; pararosaniline (which lacks an aromatic methyl group) and new fuchsin (which is uniformly mono-methylated \"ortho\" to the dye's amine functionalities) are not dye alternatives with comparable detection chemistry."
]
},
"need_tools_kwargs": false,
"question": "What languages are spoken, written or signed by the person the Schiff test is named after?",
"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: Great Leap Forward: Within the Party, there were major debates about redistribution. A moderate faction within the party and Politburo member Liu Shaoqi argued that change should be gradual and any collectivization of the peasantry should wait until industrialization, which could provide the agricultural machinery for mechanized farming. A more radical faction led by Mao Zedong argued that the best way to finance industrialization was for the government to take control of agriculture, thereby establishing a monopoly over grain distribution and supply. This would allow the state to buy at a low price and sell much higher, thus raising the capital necessary for the industrialization of the country.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Chinese"
]
},
"style": "rule"
}
|
{
"index": "33",
"interaction_kwargs": {
"full_context": [
"Document 1: Great Leap Forward: Within the Party, there were major debates about redistribution. A moderate faction within the party and Politburo member Liu Shaoqi argued that change should be gradual and any collectivization of the peasantry should wait until industrialization, which could provide the agricultural machinery for mechanized farming. A more radical faction led by Mao Zedong argued that the best way to finance industrialization was for the government to take control of agriculture, thereby establishing a monopoly over grain distribution and supply. This would allow the state to buy at a low price and sell much higher, thus raising the capital necessary for the industrialization of the country.",
"Document 2: Bombard the Headquarters: It is commonly believed that this \"big-character poster\" directly targeted Chinese President Liu Shaoqi and senior leader Deng Xiaoping, who were then in charge of Chinese government's daily affairs and who tried to cool down the mass hysteria which had been coming into shape in several universities in Beijing since the May 16 Notice, through which Mao officially launched the Cultural Revolution, was issued."
],
"ground_truth": [
"Chinese"
],
"name": "graph_construction",
"question": "What language did the leader of the least radicalized faction use?",
"sub_queries": [
"Who led the faction that was the least radicalized? Answer: Liu Shaoqi",
"Liu Shaoqi >> languages spoken, written or signed Answer: Chinese"
],
"supporting_context": [
"Bombard the Headquarters: It is commonly believed that this \"big-character poster\" directly targeted Chinese President Liu Shaoqi and senior leader Deng Xiaoping, who were then in charge of Chinese government's daily affairs and who tried to cool down the mass hysteria which had been coming into shape in several universities in Beijing since the May 16 Notice, through which Mao officially launched the Cultural Revolution, was issued.",
"Great Leap Forward: Within the Party, there were major debates about redistribution. A moderate faction within the party and Politburo member Liu Shaoqi argued that change should be gradual and any collectivization of the peasantry should wait until industrialization, which could provide the agricultural machinery for mechanized farming. A more radical faction led by Mao Zedong argued that the best way to finance industrialization was for the government to take control of agriculture, thereby establishing a monopoly over grain distribution and supply. This would allow the state to buy at a low price and sell much higher, thus raising the capital necessary for the industrialization of the country."
]
},
"need_tools_kwargs": false,
"question": "What language did the leader of the least radicalized faction use?",
"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: MP3: Sisvel S.p.A. and its U.S. subsidiary Audio MPEG, Inc. previously sued Thomson for patent infringement on MP3 technology, but those disputes were resolved in November 2005 with Sisvel granting Thomson a license to their patents. Motorola followed soon after, and signed with Sisvel to license MP3-related patents in December 2005. Except for three patents, the US patents administered by Sisvel had all expired in 2015, however (the exceptions are: U.S. Patent 5,878,080, expires February 2017, U.S. Patent 5,850,456, expires February 2017 and U.S. Patent 5,960,037, expires 9. April 2017.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"2015"
]
},
"style": "rule"
}
|
{
"index": "34",
"interaction_kwargs": {
"full_context": [
"Document 1: MP3: Sisvel S.p.A. and its U.S. subsidiary Audio MPEG, Inc. previously sued Thomson for patent infringement on MP3 technology, but those disputes were resolved in November 2005 with Sisvel granting Thomson a license to their patents. Motorola followed soon after, and signed with Sisvel to license MP3-related patents in December 2005. Except for three patents, the US patents administered by Sisvel had all expired in 2015, however (the exceptions are: U.S. Patent 5,878,080, expires February 2017, U.S. Patent 5,850,456, expires February 2017 and U.S. Patent 5,960,037, expires 9. April 2017.",
"Document 2: MP3: In September 2006, German officials seized MP3 players from SanDisk's booth at the IFA show in Berlin after an Italian patents firm won an injunction on behalf of Sisvel against SanDisk in a dispute over licensing rights. The injunction was later reversed by a Berlin judge, but that reversal was in turn blocked the same day by another judge from the same court, \"bringing the Patent Wild West to Germany\" in the words of one commentator."
],
"ground_truth": [
"2015"
],
"name": "graph_construction",
"question": "When did the majority of the patents held by the company the Italian patents firm was representing expire?",
"sub_queries": [
"Which company was the Italian patents firm representing? Answer: Sisvel",
"When did the majority of the patents held by Sisvel expire? Answer: 2015"
],
"supporting_context": [
"MP3: Sisvel S.p.A. and its U.S. subsidiary Audio MPEG, Inc. previously sued Thomson for patent infringement on MP3 technology, but those disputes were resolved in November 2005 with Sisvel granting Thomson a license to their patents. Motorola followed soon after, and signed with Sisvel to license MP3-related patents in December 2005. Except for three patents, the US patents administered by Sisvel had all expired in 2015, however (the exceptions are: U.S. Patent 5,878,080, expires February 2017, U.S. Patent 5,850,456, expires February 2017 and U.S. Patent 5,960,037, expires 9. April 2017.",
"MP3: In September 2006, German officials seized MP3 players from SanDisk's booth at the IFA show in Berlin after an Italian patents firm won an injunction on behalf of Sisvel against SanDisk in a dispute over licensing rights. The injunction was later reversed by a Berlin judge, but that reversal was in turn blocked the same day by another judge from the same court, \"bringing the Patent Wild West to Germany\" in the words of one commentator."
]
},
"need_tools_kwargs": false,
"question": "When did the majority of the patents held by the company the Italian patents firm was representing expire?",
"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: Anthony Panizzi: Sir Antonio Genesio Maria Panizzi (16 September 1797 – 8 April 1879), better known as Anthony Panizzi, was a naturalised British librarian of Italian birth and an Italian patriot. He was the Principal Librarian (i.e. head) of the British Museum from 1856 to 1866.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Italian"
]
},
"style": "rule"
}
|
{
"index": "35",
"interaction_kwargs": {
"full_context": [
"Document 1: Anthony Panizzi: Sir Antonio Genesio Maria Panizzi (16 September 1797 – 8 April 1879), better known as Anthony Panizzi, was a naturalised British librarian of Italian birth and an Italian patriot. He was the Principal Librarian (i.e. head) of the British Museum from 1856 to 1866.",
"Document 2: Panizzi Lectures: The Panizzi Lectures are a series of annual lectures given at the British Library by \"eminent scholars of the book\" and named after the librarian Anthony Panizzi. They are considered one of the major British bibliographical lecture series alongside the Sandars Lectures at the University of Cambridge and the Lyell Lectures at Oxford University."
],
"ground_truth": [
"Italian"
],
"name": "graph_construction",
"question": "What language is used by the person after whom the Panizzi lectures are named?",
"sub_queries": [
"What is Panizzi Lectures named after? Answer: Anthony Panizzi",
"Anthony Panizzi >> languages spoken, written or signed Answer: Italian"
],
"supporting_context": [
"Anthony Panizzi: Sir Antonio Genesio Maria Panizzi (16 September 1797 – 8 April 1879), better known as Anthony Panizzi, was a naturalised British librarian of Italian birth and an Italian patriot. He was the Principal Librarian (i.e. head) of the British Museum from 1856 to 1866.",
"Panizzi Lectures: The Panizzi Lectures are a series of annual lectures given at the British Library by \"eminent scholars of the book\" and named after the librarian Anthony Panizzi. They are considered one of the major British bibliographical lecture series alongside the Sandars Lectures at the University of Cambridge and the Lyell Lectures at Oxford University."
]
},
"need_tools_kwargs": false,
"question": "What language is used by the person after whom the Panizzi lectures are named?",
"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: Translation: Meanwhile, in Renaissance Italy, a new period in the history of translation had opened in Florence with the arrival, at the court of Cosimo de' Medici, of the Byzantine scholar Georgius Gemistus Pletho shortly before the fall of Constantinople to the Turks (1453). A Latin translation of Plato's works was undertaken by Marsilio Ficino. This and Erasmus' Latin edition of the New Testament led to a new attitude to translation. For the first time, readers demanded rigor of rendering, as philosophical and religious beliefs depended on the exact words of Plato, Aristotle and Jesus.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"Italian"
]
},
"style": "rule"
}
|
{
"index": "36",
"interaction_kwargs": {
"full_context": [
"Document 1: Translation: Meanwhile, in Renaissance Italy, a new period in the history of translation had opened in Florence with the arrival, at the court of Cosimo de' Medici, of the Byzantine scholar Georgius Gemistus Pletho shortly before the fall of Constantinople to the Turks (1453). A Latin translation of Plato's works was undertaken by Marsilio Ficino. This and Erasmus' Latin edition of the New Testament led to a new attitude to translation. For the first time, readers demanded rigor of rendering, as philosophical and religious beliefs depended on the exact words of Plato, Aristotle and Jesus.",
"Document 2: Giovanni Cavalcanti (poet): Giovanni Cavalcanti (1444–1509) was an Italian poet from Florence, a member of the Platonic Academy of Florence that met in the Villa Medici at Careggi under the guidance of Marsilio Ficino. Ficino and Cavalcanti were particular friends: Giovanni Cavalcanti lived for many years with Ficino at his villa, and Marsilio dedicated his essay \"De amore\" (1484) to Cavalcanti, who had urged him to compose it. Ficino introduced the concept of \"Platonic love\" and addressed many letters to his \"Giovanni amico mio perfettisimo\" (\"Giovanni my most perfect friend\")."
],
"ground_truth": [
"Italian"
],
"name": "graph_construction",
"question": "What is the language for the person who translated Plato's work to Latin?",
"sub_queries": [
"Who undertook translating Plato's works to Latin? Answer: Marsilio Ficino",
"Marsilio Ficino >> languages spoken, written or signed Answer: Italian"
],
"supporting_context": [
"Translation: Meanwhile, in Renaissance Italy, a new period in the history of translation had opened in Florence with the arrival, at the court of Cosimo de' Medici, of the Byzantine scholar Georgius Gemistus Pletho shortly before the fall of Constantinople to the Turks (1453). A Latin translation of Plato's works was undertaken by Marsilio Ficino. This and Erasmus' Latin edition of the New Testament led to a new attitude to translation. For the first time, readers demanded rigor of rendering, as philosophical and religious beliefs depended on the exact words of Plato, Aristotle and Jesus.",
"Giovanni Cavalcanti (poet): Giovanni Cavalcanti (1444–1509) was an Italian poet from Florence, a member of the Platonic Academy of Florence that met in the Villa Medici at Careggi under the guidance of Marsilio Ficino. Ficino and Cavalcanti were particular friends: Giovanni Cavalcanti lived for many years with Ficino at his villa, and Marsilio dedicated his essay \"De amore\" (1484) to Cavalcanti, who had urged him to compose it. Ficino introduced the concept of \"Platonic love\" and addressed many letters to his \"Giovanni amico mio perfettisimo\" (\"Giovanni my most perfect friend\")."
]
},
"need_tools_kwargs": false,
"question": "What is the language for the person who translated Plato's work to Latin?",
"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 Blitz: Directive 23 was the only concession made by Göring to the Kriegsmarine over the strategic bombing strategy of the Luftwaffe against Britain. Thereafter, he would refuse to make available any air units to destroy British dockyards, ports, port facilities, or shipping in dock or at sea, lest Kriegsmarine gain control of more Luftwaffe units. Raeder's successor—Karl Dönitz—would—on the intervention of Hitler—gain control of one unit (KG 40), but Göring would soon regain it. Göring's lack of cooperation was detrimental to the one air strategy with potentially decisive strategic effect on Britain. Instead, he wasted aircraft of Fliegerführer Atlantik (Flying Command Atlantic) on bombing mainland Britain instead of attacks against convoys. For Göring, his prestige had been damaged by the defeat in the Battle of Britain, and he wanted to regain it by subduing Britain by air power alone. He was always reluctant to cooperate with Raeder.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"control of more Luftwaffe units"
]
},
"style": "rule"
}
|
{
"index": "37",
"interaction_kwargs": {
"full_context": [
"Document 1: The Blitz: Directive 23 was the only concession made by Göring to the Kriegsmarine over the strategic bombing strategy of the Luftwaffe against Britain. Thereafter, he would refuse to make available any air units to destroy British dockyards, ports, port facilities, or shipping in dock or at sea, lest Kriegsmarine gain control of more Luftwaffe units. Raeder's successor—Karl Dönitz—would—on the intervention of Hitler—gain control of one unit (KG 40), but Göring would soon regain it. Göring's lack of cooperation was detrimental to the one air strategy with potentially decisive strategic effect on Britain. Instead, he wasted aircraft of Fliegerführer Atlantik (Flying Command Atlantic) on bombing mainland Britain instead of attacks against convoys. For Göring, his prestige had been damaged by the defeat in the Battle of Britain, and he wanted to regain it by subduing Britain by air power alone. He was always reluctant to cooperate with Raeder.",
"Document 2: The Blitz: A major problem in the managing of the Luftwaffe was Hermann Göring. Hitler believed the Luftwaffe was \"the most effective strategic weapon\", and in reply to repeated requests from the Kriegsmarine for control over aircraft insisted, \"We should never have been able to hold our own in this war if we had not had an undivided Luftwaffe\". Such principles made it much harder to integrate the air force into the overall strategy and produced in Göring a jealous and damaging defence of his \"empire\" while removing Hitler voluntarily from the systematic direction of the Luftwaffe at either the strategic or operational level. When Hitler tried to intervene more in the running of the air force later in the war, he was faced with a political conflict of his own making between himself and Göring, which was not fully resolved until the war was almost over. In 1940 and 1941, Göring's refusal to cooperate with the Kriegsmarine denied the entire Wehrmacht military forces of the Reich the chance to strangle British sea communications, which might have had strategic or decisive effect in the war against the British Empire."
],
"ground_truth": [
"control of more Luftwaffe units"
],
"name": "graph_construction",
"question": "What did Goring believe the person whom he refused to work with in 1940 and 1941 would gain with further support?",
"sub_queries": [
"Who did Goring refuse to work with in 1940 and 1941? Answer: the Kriegsmarine",
"What did Goring believe the the Kriegsmarine would gain with further support? Answer: control of more Luftwaffe units"
],
"supporting_context": [
"The Blitz: Directive 23 was the only concession made by Göring to the Kriegsmarine over the strategic bombing strategy of the Luftwaffe against Britain. Thereafter, he would refuse to make available any air units to destroy British dockyards, ports, port facilities, or shipping in dock or at sea, lest Kriegsmarine gain control of more Luftwaffe units. Raeder's successor—Karl Dönitz—would—on the intervention of Hitler—gain control of one unit (KG 40), but Göring would soon regain it. Göring's lack of cooperation was detrimental to the one air strategy with potentially decisive strategic effect on Britain. Instead, he wasted aircraft of Fliegerführer Atlantik (Flying Command Atlantic) on bombing mainland Britain instead of attacks against convoys. For Göring, his prestige had been damaged by the defeat in the Battle of Britain, and he wanted to regain it by subduing Britain by air power alone. He was always reluctant to cooperate with Raeder.",
"The Blitz: A major problem in the managing of the Luftwaffe was Hermann Göring. Hitler believed the Luftwaffe was \"the most effective strategic weapon\", and in reply to repeated requests from the Kriegsmarine for control over aircraft insisted, \"We should never have been able to hold our own in this war if we had not had an undivided Luftwaffe\". Such principles made it much harder to integrate the air force into the overall strategy and produced in Göring a jealous and damaging defence of his \"empire\" while removing Hitler voluntarily from the systematic direction of the Luftwaffe at either the strategic or operational level. When Hitler tried to intervene more in the running of the air force later in the war, he was faced with a political conflict of his own making between himself and Göring, which was not fully resolved until the war was almost over. In 1940 and 1941, Göring's refusal to cooperate with the Kriegsmarine denied the entire Wehrmacht military forces of the Reich the chance to strangle British sea communications, which might have had strategic or decisive effect in the war against the British Empire."
]
},
"need_tools_kwargs": false,
"question": "What did Goring believe the person whom he refused to work with in 1940 and 1941 would gain with further support?",
"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: Petition to the King: Many colonists in the Americas, however, developed a different conception of their role within the British Empire. In particular, because the colonies were not directly represented in Parliament, colonists argued that Parliament had no right to levy taxes upon them. After colonists destroyed thousands of pounds of British - taxed tea during the Boston Tea Party, Parliament passed the Coercive Acts in 1774, punishing the colonies for their actions. These punitive Acts were vehemently opposed by the colonists, leading the newly formed Continental Congress to seek redress with King George III, in an attempt to reach a common understanding.",
"role": "user"
}
] |
graph_construction
|
{
"ground_truth": {
"target": [
"President John Hancock"
]
},
"style": "rule"
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{
"index": "38",
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"full_context": [
"Document 1: Petition to the King: Many colonists in the Americas, however, developed a different conception of their role within the British Empire. In particular, because the colonies were not directly represented in Parliament, colonists argued that Parliament had no right to levy taxes upon them. After colonists destroyed thousands of pounds of British - taxed tea during the Boston Tea Party, Parliament passed the Coercive Acts in 1774, punishing the colonies for their actions. These punitive Acts were vehemently opposed by the colonists, leading the newly formed Continental Congress to seek redress with King George III, in an attempt to reach a common understanding.",
"Document 2: President of the Continental Congress: Fourteen men served as president of Congress. The first was Peyton Randolph, who was elected on September 5, 1774. The last president, Cyrus Griffin, resigned in November 1788. President John Hancock is remembered for his large, bold signature on the Declaration of Independence, which was adopted and signed during his presidency."
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"ground_truth": [
"President John Hancock"
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"name": "graph_construction",
"question": "Who was the president of the body that petitioned the king of England to recognize the rights of colonists when the declaration of independence was adopted?",
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"who petitioned the king of england to recognize the rights of colonists Answer: Continental Congress",
"who was the president of Continental Congress when the declaration of independence was adopted Answer: President John Hancock"
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"President of the Continental Congress: Fourteen men served as president of Congress. The first was Peyton Randolph, who was elected on September 5, 1774. The last president, Cyrus Griffin, resigned in November 1788. President John Hancock is remembered for his large, bold signature on the Declaration of Independence, which was adopted and signed during his presidency.",
"Petition to the King: Many colonists in the Americas, however, developed a different conception of their role within the British Empire. In particular, because the colonies were not directly represented in Parliament, colonists argued that Parliament had no right to levy taxes upon them. After colonists destroyed thousands of pounds of British - taxed tea during the Boston Tea Party, Parliament passed the Coercive Acts in 1774, punishing the colonies for their actions. These punitive Acts were vehemently opposed by the colonists, leading the newly formed Continental Congress to seek redress with King George III, in an attempt to reach a common understanding."
]
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"question": "Who was the president of the body that petitioned the king of England to recognize the rights of colonists when the declaration of independence was adopted?",
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}
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