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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'predicted_emotions', 'prompt'}) and 2 missing columns ({'prompt_id', 'raw_model_response'}).
This happened while the json dataset builder was generating data using
hf://datasets/Tadesse/Cognitive-resulsts/results/amh_meta-llama_Llama-3.1-8b-instruct.jsonl (at revision 467740c8ce13cd2b90506244537e08112c685c48)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
text: string
anger: int64
disgust: int64
fear: int64
joy: int64
sadness: int64
surprise: int64
emotions: list<item: string>
child 0, item: string
lang: string
model: string
prompt: string
predicted_emotions: list<item: string>
child 0, item: string
to
{'id': Value('string'), 'text': Value('string'), 'anger': Value('int64'), 'disgust': Value('int64'), 'fear': Value('int64'), 'joy': Value('int64'), 'sadness': Value('int64'), 'surprise': Value('int64'), 'emotions': List(Value('string')), 'lang': Value('string'), 'model': Value('string'), 'prompt_id': Value('string'), 'raw_model_response': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1339, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'predicted_emotions', 'prompt'}) and 2 missing columns ({'prompt_id', 'raw_model_response'}).
This happened while the json dataset builder was generating data using
hf://datasets/Tadesse/Cognitive-resulsts/results/amh_meta-llama_Llama-3.1-8b-instruct.jsonl (at revision 467740c8ce13cd2b90506244537e08112c685c48)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id
string | text
string | anger
int64 | disgust
int64 | fear
int64 | joy
int64 | sadness
int64 | surprise
int64 | emotions
list | lang
string | model
string | prompt_id
string | raw_model_response
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
amh_test_track_a_00001
|
แ แฃแ แฅแฉ แฐแ แแ
แ แณแแแแต แแแแต แตแแตแจแจแฅแญ แ แฃแ แตแแฝ แแแ แแซแแ แ แแแข แแฐแแ แฐแแแแถ แคแต แแ แญ แตแแ
แญแต แแแตแฐแญ แ แ แแฅ แฅแ 10 แฅแ
แด 13 แแ แญแ แแถ แฐแแตแฐแ แตแแแฃ แฅแ แแ
แด แ แจแฝ แฅแญ แตแแต แจแณแญแฒ แจแแแจแตแ แต แฆแณ แแ แญ แจแณแญแฒ แจแแฃ แฐแ แแตแแ แต แแ แ แแฝ แแซแแ แ แแต แ แ
แแ แ แจแ แจแ แแแฐแ แแแตแฃแขแซ แแฐแแ แ
แญแก แญแฅแญแ แฅแแต แ แแแแแ แฅแ แแ แแฐแ แแตแ แ แแแ แ แแแฝแธแ แฐแแ แแ แฅแคแต
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt1
|
Emotions: ["surprise", "sadness"]
|
amh_test_track_a_00002
|
แ แฃแ แแ แแฅ แจแแแซแ แญแ แจแแแตแแฝแ แ แแ แจแแแฝแ แ แแ แแ แซแแ แฅแแแ แฅแแญ แแญแตแ แญแตแฅ
| 0
| 0
| 0
| 0
| 1
| 0
|
[
"sadness"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt1
|
Emotions: ["sadness", "anger"]
|
amh_test_track_a_00003
|
แฆแญแแต แฒแแแญ แแแ แญแแตแแข แฅแแแซแฅแแญ แแแแฑแ แแแ แ แแแ แซแแฃแข แขแตแฎแฒแซแแซแ แแ แแณแฉแ แจแแญแแแต แแญ แ แซแญแแฝแ แแแซแฝแแ แแแ แฅแ แฅ แ แแแณ แ แตแแ แฉแข แญแ
แฆแญแแต แจแตแแ แญ แจแญแแณ แแณแญ แฅแแ แแญแแแณแ แ แญแฐแแ
| 1
| 0
| 0
| 0
| 1
| 0
|
[
"anger",
"sadness"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt1
|
Emotions: ["fear", "sadness"]
|
amh_test_track_a_00004
|
แฅแบ แซแตแฌแแฝ แจแแตแแแ แแ แตแแแต แณแซแต แณแ
แผ แแตแฉแต LabellingSeason แแแแแแ แขแตแฎแตแซแแแต แแแแแ แญแแแแ ?
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt1
|
Emotions: ["joy", "surprise"]
|
amh_test_track_a_00005
|
แ แแตแ แ
แแฅ แ แ
แแ แฅแจแฐแฐแฅแญ แแ แแซแแ แฅแแฐแแตแฐแตแฅ แแ แแตแฐแแแ แ แ?แแซแ แฅแ
แ แจแแ แแธแ แแแฎแฝ แ แแฑ แแจแแแต แแแขแจแฆแฎแแแ แแ แจแ แแซแ แ
แแฅ แฅแฉแ แ
แแค แฅแ
| 1
| 0
| 0
| 0
| 0
| 0
|
[
"anger"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt1
|
Emotions: ["anger", "disgust"]
|
amh_test_track_a_00001
|
แ แฃแ แฅแฉ แฐแ แแ
แ แณแแแแต แแแแต แตแแตแจแจแฅแญ แ แฃแ แตแแฝ แแแ แแซแแ แ แแแข แแฐแแ แฐแแแแถ แคแต แแ แญ แตแแ
แญแต แแแตแฐแญ แ แ แแฅ แฅแ 10 แฅแ
แด 13 แแ แญแ แแถ แฐแแตแฐแ แตแแแฃ แฅแ แแ
แด แ แจแฝ แฅแญ แตแแต แจแณแญแฒ แจแแแจแตแ แต แฆแณ แแ แญ แจแณแญแฒ แจแแฃ แฐแ แแตแแ แต แแ แ แแฝ แแซแแ แ แแต แ แ
แแ แ แจแ แจแ แแแฐแ แแแตแฃแขแซ แแฐแแ แ
แญแก แญแฅแญแ แฅแแต แ แแแแแ แฅแ แแ แแฐแ แแตแ แ แแแ แ แแแฝแธแ แฐแแ แแ แฅแคแต
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt2
|
Emotions: ["sadness", "fear", "surprise"]
|
amh_test_track_a_00002
|
แ แฃแ แแ แแฅ แจแแแซแ แญแ แจแแแตแแฝแ แ แแ แจแแแฝแ แ แแ แแ แซแแ แฅแแแ แฅแแญ แแญแตแ แญแตแฅ
| 0
| 0
| 0
| 0
| 1
| 0
|
[
"sadness"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt2
|
Let's analyze the text step by step:
The text is in Amharic and translates to: "It is very touching, this is our brother's death, it is the death of all of us, may God give judgment."
Key emotional indicators:
- "Very touching" (แแ แแฅ แจแแแซแ) suggests a deep emotional impact, likely sadness.
- Mention of death (แ แแ) directly points to grief and loss.
- The phrase "it is the death of all of us" implies collective mourning and shared sorrow.
- The invocation for God to give judgment (แแญแตแ แญแตแฅ) may indicate a desire for justice or closure, which often accompanies sadness in the context of loss.
This text primarily expresses grief and sadness over a death, with a communal sense of loss. There is no indication of anger, fear, disgust, joy, or surprise; the tone is solemn and mournful.
****
Emotions: ["sadness"]
|
amh_test_track_a_00003
|
แฆแญแแต แฒแแแญ แแแ แญแแตแแข แฅแแแซแฅแแญ แแแแฑแ แแแ แ แแแ แซแแฃแข แขแตแฎแฒแซแแซแ แแ แแณแฉแ แจแแญแแแต แแญ แ แซแญแแฝแ แแแซแฝแแ แแแ แฅแ แฅ แ แแแณ แ แตแแ แฉแข แญแ
แฆแญแแต แจแตแแ แญ แจแญแแณ แแณแญ แฅแแ แแญแแแณแ แ แญแฐแแ
| 1
| 0
| 0
| 0
| 1
| 0
|
[
"anger",
"sadness"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt2
|
****
Emotions: ["anger", "disgust"]
|
amh_test_track_a_00004
|
แฅแบ แซแตแฌแแฝ แจแแตแแแ แแ แตแแแต แณแซแต แณแ
แผ แแตแฉแต LabellingSeason แแแแแแ แขแตแฎแตแซแแแต แแแแแ แญแแแแ ?
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt2
|
Emotions: ["joy", "surprise"]
|
amh_test_track_a_00005
|
แ แแตแ แ
แแฅ แ แ
แแ แฅแจแฐแฐแฅแญ แแ แแซแแ แฅแแฐแแตแฐแตแฅ แแ แแตแฐแแแ แ แ?แแซแ แฅแ
แ แจแแ แแธแ แแแฎแฝ แ แแฑ แแจแแแต แแแขแจแฆแฎแแแ แแ แจแ แแซแ แ
แแฅ แฅแฉแ แ
แแค แฅแ
| 1
| 0
| 0
| 0
| 0
| 0
|
[
"anger"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt2
|
Let's analyze the text step by step:
1. The text is in Amharic, which is a language spoken in Ethiopia.
2. The first sentence translates to: "What guarantee do you have that when you are expelling one people en masse, you won't expel the Gurage tomorrow?" This suggests a concern about ethnic expulsion or discrimination.
3. The second sentence translates to: "One of the things Gurage hates the most is racism." This expresses strong disapproval of racism.
4. The third sentence translates to: "Neither the Oromo nor the Amhara people are equal to my people." This implies a sense of ethnic superiority or exclusion.
Emotions conveyed:
- The text expresses strong disapproval of ethnic expulsion and racism, which aligns with **disgust**.
- There is a tone of warning or concern about future actions, which could indicate **fear** for what might happen.
- The assertion that one's own people are not equal to others might imply anger or defensiveness, but the primary emotions are disgust and fear.
Thus, the main emotions are disgust and fear.
****
Emotions: ["disgust", "fear"]
|
amh_test_track_a_00001
|
แ แฃแ แฅแฉ แฐแ แแ
แ แณแแแแต แแแแต แตแแตแจแจแฅแญ แ แฃแ แตแแฝ แแแ แแซแแ แ แแแข แแฐแแ แฐแแแแถ แคแต แแ แญ แตแแ
แญแต แแแตแฐแญ แ แ แแฅ แฅแ 10 แฅแ
แด 13 แแ แญแ แแถ แฐแแตแฐแ แตแแแฃ แฅแ แแ
แด แ แจแฝ แฅแญ แตแแต แจแณแญแฒ แจแแแจแตแ แต แฆแณ แแ แญ แจแณแญแฒ แจแแฃ แฐแ แแตแแ แต แแ แ แแฝ แแซแแ แ แแต แ แ
แแ แ แจแ แจแ แแแฐแ แแแตแฃแขแซ แแฐแแ แ
แญแก แญแฅแญแ แฅแแต แ แแแแแ แฅแ แแ แแฐแ แแตแ แ แแแ แ แแแฝแธแ แฐแแ แแ แฅแคแต
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt3
|
****
Emotions: ["fear", "sadness", "surprise"]
|
amh_test_track_a_00002
|
แ แฃแ แแ แแฅ แจแแแซแ แญแ แจแแแตแแฝแ แ แแ แจแแแฝแ แ แแ แแ แซแแ แฅแแแ แฅแแญ แแญแตแ แญแตแฅ
| 0
| 0
| 0
| 0
| 1
| 0
|
[
"sadness"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt3
|
Let's analyze the text step by step:
1. **Arousal and Valence**:
- The phrase "แ แฃแ แแ แแฅ แจแแแซแ" (It is very touching/heartfelt) suggests medium to high arousal due to emotional intensity.
- "แจแแแตแแฝแ แ แแ แจแแแฝแ แ แแ แแ" (Our brother's call to prayer is all of our call to prayer) implies unity and shared experience, but the context is about a loss (as indicated later).
- "แซแแ" (he died) confirms a negative event (death).
- "แฅแแแ แฅแแญ แแญแตแ แญแตแฅ" (May God give judgment) is a plea for divine justice, which carries negative valence due to the implied injustice or sorrow.
- Overall, arousal is high (emotional intensity) and valence is negative (death, plea for judgment).
2. **Context**:
- The text refers to the death of a brother ("แซแแ" - he died) and a call for God's judgment. This clearly indicates a **loss** (death of a loved one) and possibly a sense of injustice (hence the plea for judgment).
3. **Mapping to emotions**:
- High arousal + negative valence + loss context โ primarily **sadness** (grief over loss).
- There might also be an element of **anger** if the plea for judgment implies perceived injustice or wrongdoing (obstacle/offense), but the primary focus is on the loss.
- No imminent threat (so not fear), no revulsion (not disgust), not positive (no joy), and no unexpected sudden event (death is acknowledged, not surprising).
Given the emphasis on loss and grief, sadness is the dominant emotion. The plea for judgment might hint at anger, but it is secondary.
****
Emotions: ["sadness", "anger"]
|
amh_test_track_a_00003
|
แฆแญแแต แฒแแแญ แแแ แญแแตแแข แฅแแแซแฅแแญ แแแแฑแ แแแ แ แแแ แซแแฃแข แขแตแฎแฒแซแแซแ แแ แแณแฉแ แจแแญแแแต แแญ แ แซแญแแฝแ แแแซแฝแแ แแแ แฅแ แฅ แ แแแณ แ แตแแ แฉแข แญแ
แฆแญแแต แจแตแแ แญ แจแญแแณ แแณแญ แฅแแ แแญแแแณแ แ แญแฐแแ
| 1
| 0
| 0
| 0
| 1
| 0
|
[
"anger",
"sadness"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt3
|
****
Emotions: ["anger", "fear"]
|
amh_test_track_a_00004
|
แฅแบ แซแตแฌแแฝ แจแแตแแแ แแ แตแแแต แณแซแต แณแ
แผ แแตแฉแต LabellingSeason แแแแแแ แขแตแฎแตแซแแแต แแแแแ แญแแแแ ?
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt3
|
****
Emotions: ["joy", "surprise"]
|
amh_test_track_a_00005
|
แ แแตแ แ
แแฅ แ แ
แแ แฅแจแฐแฐแฅแญ แแ แแซแแ แฅแแฐแแตแฐแตแฅ แแ แแตแฐแแแ แ แ?แแซแ แฅแ
แ แจแแ แแธแ แแแฎแฝ แ แแฑ แแจแแแต แแแขแจแฆแฎแแแ แแ แจแ แแซแ แ
แแฅ แฅแฉแ แ
แแค แฅแ
| 1
| 0
| 0
| 0
| 0
| 0
|
[
"anger"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt3
|
Let's analyze the text step by step:
1. **Arousal and Valence**:
The text is a rhetorical question challenging someone who is "massacring a people" (แ แแตแ แ
แแฅ แ แ
แแ แฅแจแฐแฐแฅแญ) and asserts that the Guraghe people hate racism (แแจแแแต). The tone is accusatory and defiant, with high emotional intensity.
- Arousal: High (due to the confrontational and charged nature).
- Valence: Negative (as it condemns violence and racism).
2. **Context**:
The context involves an "obstacle/offense" โ the speaker is confronting a perceived injustice (massacre) and racism, which is framed as an obstacle to justice and equality. There is also a sense of rejection of racist actions.
3. **Mapping to emotions**:
- High Arousal + Negative Valence + Obstacle/Offense โ **anger**. The text expresses strong disapproval and moral outrage.
- Additionally, the mention of hatred for racism (แแจแแแต) and the defiant tone may also imply **disgust** (revulsion/rejection) at racist actions, but the primary emotion is anger due to the high arousal and confrontational nature.
The text does not indicate fear (no imminent threat), sadness (no loss/resignation), joy (positive valence), or surprise (not unexpected/sudden).
**Emotions**: ["anger"]
(While disgust might be inferred, the dominant emotion here is anger due to the high arousal and direct confrontation.)
****
Emotions: ["anger"]
|
amh_test_track_a_00001
|
แ แฃแ แฅแฉ แฐแ แแ
แ แณแแแแต แแแแต แตแแตแจแจแฅแญ แ แฃแ แตแแฝ แแแ แแซแแ แ แแแข แแฐแแ แฐแแแแถ แคแต แแ แญ แตแแ
แญแต แแแตแฐแญ แ แ แแฅ แฅแ 10 แฅแ
แด 13 แแ แญแ แแถ แฐแแตแฐแ แตแแแฃ แฅแ แแ
แด แ แจแฝ แฅแญ แตแแต แจแณแญแฒ แจแแแจแตแ แต แฆแณ แแ แญ แจแณแญแฒ แจแแฃ แฐแ แแตแแ แต แแ แ แแฝ แแซแแ แ แแต แ แ
แแ แ แจแ แจแ แแแฐแ แแแตแฃแขแซ แแฐแแ แ
แญแก แญแฅแญแ แฅแแต แ แแแแแ แฅแ แแ แแฐแ แแตแ แ แแแ แ แแแฝแธแ แฐแแ แแ แฅแคแต
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt4
|
Let's analyze the text step by step:
The text describes a situation where the speaker (and their sister) found money that fell from a taxi and reported it to the police. They were then taken to the police station and treated respectfully.
Appraisal dimensions:
- Goal Relevance: Returning lost money is morally important.
- Goal Congruence: Positive (doing the right thing, being honest).
- Agency: Self (they chose to report it), and possibly situation (money falling).
- Coping Potential: High (they had control over reporting it).
Now mapping to emotions:
- Goal Congruent (Positive) โ joy (from doing the right thing and being respected).
- There is no incongruence, so no anger, fear, sadness.
- No moral violation, so no disgust.
- The event might be somewhat unexpected (finding money), but not strongly emphasized.
The primary emotion conveyed is joy from the positive outcome and moral satisfaction.
Emotions: ["joy"]
|
amh_test_track_a_00002
|
แ แฃแ แแ แแฅ แจแแแซแ แญแ แจแแแตแแฝแ แ แแ แจแแแฝแ แ แแ แแ แซแแ แฅแแแ แฅแแญ แแญแตแ แญแตแฅ
| 0
| 0
| 0
| 0
| 1
| 0
|
[
"sadness"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt4
|
Let's analyze the text step by step:
The text is in Amharic and translates to: "It is very touching. This is our brother's suffering; it is all of our suffering. May God give judgment."
1. **Goal Relevance**: The suffering described is clearly important as it involves personal and collective pain ("our brother's suffering; it is all of our suffering").
2. **Goal Congruence**: The suffering is negative (harmful) as it is described as painful and unjust.
3. **Agency**: The cause of the suffering is not explicitly stated, but the call for God's judgment implies that someone else (likely another person or group) is responsible for the harm. The speaker attributes agency to an external source (other) and seeks divine intervention.
4. **Coping Potential**: The speaker shows low coping potential by appealing to God for judgment, suggesting a lack of personal control to change the situation.
Now, mapping to emotions:
- The situation is goal-incongruent (negative).
- It is caused by others (implied by the call for judgment).
- Coping potential is low (reliance on divine intervention).
- There is a sense of loss and helplessness (resignation) rather than a desire to fight (which would indicate anger) or flee (fear).
- The text expresses shared suffering and a plea for justice, which aligns with sadness due to irreversible loss and low coping.
- There is no indication of moral violation (disgust) or unexpectedness (surprise). The tone is mournful and resigned.
Thus, the primary emotion is sadness.
****
Emotions: ["sadness"]
|
amh_test_track_a_00003
|
แฆแญแแต แฒแแแญ แแแ แญแแตแแข แฅแแแซแฅแแญ แแแแฑแ แแแ แ แแแ แซแแฃแข แขแตแฎแฒแซแแซแ แแ แแณแฉแ แจแแญแแแต แแญ แ แซแญแแฝแ แแแซแฝแแ แแแ แฅแ แฅ แ แแแณ แ แตแแ แฉแข แญแ
แฆแญแแต แจแตแแ แญ แจแญแแณ แแณแญ แฅแแ แแญแแแณแ แ แญแฐแแ
| 1
| 0
| 0
| 0
| 1
| 0
|
[
"anger",
"sadness"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt4
|
Let's analyze the text step by step:
The text is in Amharic and translates to: "War seems easy when it starts. May God bring peace to both sides. But Ethiopians, don't connect the issue with religion; don't create an agenda to disrupt your country. This war is a border/occupation issue, not religious."
Now, applying the appraisal dimensions:
1. **Goal Relevance**: The topic is highly important as it discusses war, peace, and national stability.
2. **Goal Congruence**: The speaker expresses negative views about linking war to religion and creating agendas to disrupt the country. They emphasize that the war is not religious but territorial. This is incongruent with their goals (peace and avoiding religious conflict).
3. **Agency**: The negative aspects (potential religious manipulation and disruption) are caused by "Ethiopians" (others) who might be doing this. The call for peace attributes agency to God (situation/other).
4. **Coping Potential**: The speaker seems to have low coping potential as they are appealing to God for peace and warning others not to exacerbate the situation, suggesting a lack of direct control.
Mapping to emotions:
- The text expresses a desire for peace (joy, but this is a hope rather than a current state).
- There is a warning against connecting war to religion and creating disruptive agendas. This implies a moral violation (using religion for harmful purposes), which aligns with **disgust** (rejection of such actions).
- The overall tone is concerned and critical, but not strongly angry (no desire to fight) or fearful (no desire to flee). Sadness might be present due to the war, but it's not emphasized.
- The statement "War seems easy when it starts" might carry a tone of regret or wisdom, but not strongly sad.
- No element of surprise is evident.
The primary emotion conveyed is **disgust** towards the moral violation of mixing religion with war for disruptive agendas. There is also an underlying hope for peace (joy), but it is aspirational rather than experienced.
Thus, the emotions are disgust and (aspirational) joy.
****
Emotions: ["disgust", "joy"]
|
amh_test_track_a_00004
|
แฅแบ แซแตแฌแแฝ แจแแตแแแ แแ แตแแแต แณแซแต แณแ
แผ แแตแฉแต LabellingSeason แแแแแแ แขแตแฎแตแซแแแต แแแแแ แญแแแแ ?
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt4
|
Let's analyze the text step by step:
The text is in Amharic and translates roughly to: "These cadres you call them, I laughed so hard I almost died when I unexpectedly heard the word 'LabellingSeason'. Will it last forever for any Ethiopian-ness?"
Now, let's evaluate using the appraisal dimensions:
1. **Goal Relevance**: The topic seems to be about political or social labeling ("cadres", "LabellingSeason", "Ethiopian-ness"), which is likely important to the speaker given the emotional tone.
2. **Goal Congruence**: The speaker finds the situation humorous ("laughed so hard I almost died"), which suggests it is perceived as incongruent in a way that is not threatening but rather ridiculous or absurd. However, the rhetorical question at the end ("Will it last forever...?") implies a negative evaluation of the persistence of such labeling.
3. **Agency**: The cause is attributed to "these cadres" (others) and the broader situation of labeling.
4. **Coping Potential**: The speaker expresses mockery and laughter, indicating a sense of superiority or high coping (they are not overwhelmed but rather amused). However, the rhetorical question suggests a concern about the permanence of the issue, which might imply low coping in the long term.
Now, mapping to emotions:
- The primary reaction is laughter and amusement, which is goal-congruent (positive) in the sense that the speaker finds it funny. This maps to **joy**.
- The underlying tone criticizes the labeling and questions its eternity, which might involve **disgust** (moral violation/rejection of the practice) or **sadness** (if perceived as an irreversible loss), but the dominant expression is humor.
- There is an element of unexpectedness ("unexpectedly heard"), which could trigger **surprise**, but it is not the main emotion.
- No strong anger or fear is evident; the speaker is not expressing a desire to fight or flee, but rather mockery.
Thus, the text conveys joy (from the humor) and possibly disgust (rejection of the labeling practice) or surprise, but joy is the most prominent.
Emotions: ["joy", "disgust"]
|
amh_test_track_a_00005
|
แ แแตแ แ
แแฅ แ แ
แแ แฅแจแฐแฐแฅแญ แแ แแซแแ แฅแแฐแแตแฐแตแฅ แแ แแตแฐแแแ แ แ?แแซแ แฅแ
แ แจแแ แแธแ แแแฎแฝ แ แแฑ แแจแแแต แแแขแจแฆแฎแแแ แแ แจแ แแซแ แ
แแฅ แฅแฉแ แ
แแค แฅแ
| 1
| 0
| 0
| 0
| 0
| 0
|
[
"anger"
] |
amh
|
lightning-ai/DeepSeek-V3.1
|
prompt4
|
Let's break down the text step by step:
The text says: "What guarantee do you have that while you are mass-killing one people, you won't kill the Gurage tomorrow? One of the things Gurage hates the most is racism. He considers both the Oromo and Amhara people as equal to his own people."
1. **Goal Relevance**: The speaker is addressing a serious issue - mass killing and racism. This is highly important as it involves human lives and moral principles.
2. **Goal Congruence**: The events described (mass killing, racism) are negative and harmful. The speaker expresses hatred towards racism and values equality, which are positive stances, but the context is negative due to the threat of violence.
3. **Agency**: The harm (mass killing) is implied to be caused by "you" (the addressee, likely an authority or perpetrator), so it is caused by "other". The positive stance (equality) is attributed to the Gurage people (self/group).
4. **Coping Potential**: The speaker questions the guarantee of safety, indicating uncertainty and low control over the situation (fear of future harm). However, the statement also expresses a firm moral stance (rejection of racism), which implies some coping through moral resistance.
Now, applying the rules:
- The situation is goal incongruent (negative) due to mass killing and racism.
- The harm is caused by "other" (the perpetrator).
- There is low coping potential (uncertainty about future safety, desire to avoid harm) โ this maps to **fear**.
- There is a strong moral violation (racism, killing) and rejection of it โ this maps to **disgust**.
- The positive value of equality is stated, but it is not the dominant emotion in the context; the focus is on the negative threat.
- There is no strong element of surprise (it is a rhetorical question, not an unexpected event).
- No irreversible loss is emphasized (it is prospective), so sadness is not primary.
- Anger might be present, but the tone is more fearful and disgusted (moral outrage) rather than confrontational.
Thus, the primary emotions are fear (due to threat and low coping) and disgust (due to moral violation).
Emotions: ["fear", "disgust"]
|
amh_test_track_a_00001
|
แ แฃแ แฅแฉ แฐแ แแ
แ แณแแแแต แแแแต แตแแตแจแจแฅแญ แ แฃแ แตแแฝ แแแ แแซแแ แ แแแข แแฐแแ แฐแแแแถ แคแต แแ แญ แตแแ
แญแต แแแตแฐแญ แ แ แแฅ แฅแ 10 แฅแ
แด 13 แแ แญแ แแถ แฐแแตแฐแ แตแแแฃ แฅแ แแ
แด แ แจแฝ แฅแญ แตแแต แจแณแญแฒ แจแแแจแตแ แต แฆแณ แแ แญ แจแณแญแฒ แจแแฃ แฐแ แแตแแ แต แแ แ แแฝ แแซแแ แ แแต แ แ
แแ แ แจแ แจแ แแแฐแ แแแตแฃแขแซ แแฐแแ แ
แญแก แญแฅแญแ แฅแแต แ แแแแแ แฅแ แแ แแฐแ แแตแ แ แแแ แ แแแฝแธแ แฐแแ แแ แฅแคแต
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt1
|
Emotions: ["sadness", "fear"]
|
amh_test_track_a_00002
|
แ แฃแ แแ แแฅ แจแแแซแ แญแ แจแแแตแแฝแ แ แแ แจแแแฝแ แ แแ แแ แซแแ แฅแแแ แฅแแญ แแญแตแ แญแตแฅ
| 0
| 0
| 0
| 0
| 1
| 0
|
[
"sadness"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt1
|
Emotions: ["sadness"]
|
amh_test_track_a_00003
|
แฆแญแแต แฒแแแญ แแแ แญแแตแแข แฅแแแซแฅแแญ แแแแฑแ แแแ แ แแแ แซแแฃแข แขแตแฎแฒแซแแซแ แแ แแณแฉแ แจแแญแแแต แแญ แ แซแญแแฝแ แแแซแฝแแ แแแ แฅแ แฅ แ แแแณ แ แตแแ แฉแข แญแ
แฆแญแแต แจแตแแ แญ แจแญแแณ แแณแญ แฅแแ แแญแแแณแ แ แญแฐแแ
| 1
| 0
| 0
| 0
| 1
| 0
|
[
"anger",
"sadness"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt1
|
Emotions: ["anger", "sadness"]
|
amh_test_track_a_00004
|
แฅแบ แซแตแฌแแฝ แจแแตแแแ แแ แตแแแต แณแซแต แณแ
แผ แแตแฉแต LabellingSeason แแแแแแ แขแตแฎแตแซแแแต แแแแแ แญแแแแ ?
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt1
|
Emotions: ["surprise"]
|
amh_test_track_a_00005
|
แ แแตแ แ
แแฅ แ แ
แแ แฅแจแฐแฐแฅแญ แแ แแซแแ แฅแแฐแแตแฐแตแฅ แแ แแตแฐแแแ แ แ?แแซแ แฅแ
แ แจแแ แแธแ แแแฎแฝ แ แแฑ แแจแแแต แแแขแจแฆแฎแแแ แแ แจแ แแซแ แ
แแฅ แฅแฉแ แ
แแค แฅแ
| 1
| 0
| 0
| 0
| 0
| 0
|
[
"anger"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt1
|
Emotions: ["anger", "disgust", "sadness"]
|
amh_test_track_a_00001
|
แ แฃแ แฅแฉ แฐแ แแ
แ แณแแแแต แแแแต แตแแตแจแจแฅแญ แ แฃแ แตแแฝ แแแ แแซแแ แ แแแข แแฐแแ แฐแแแแถ แคแต แแ แญ แตแแ
แญแต แแแตแฐแญ แ แ แแฅ แฅแ 10 แฅแ
แด 13 แแ แญแ แแถ แฐแแตแฐแ แตแแแฃ แฅแ แแ
แด แ แจแฝ แฅแญ แตแแต แจแณแญแฒ แจแแแจแตแ แต แฆแณ แแ แญ แจแณแญแฒ แจแแฃ แฐแ แแตแแ แต แแ แ แแฝ แแซแแ แ แแต แ แ
แแ แ แจแ แจแ แแแฐแ แแแตแฃแขแซ แแฐแแ แ
แญแก แญแฅแญแ แฅแแต แ แแแแแ แฅแ แแ แแฐแ แแตแ แ แแแ แ แแแฝแธแ แฐแแ แแ แฅแคแต
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt2
|
****
Emotions: ["fear", "sadness"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00002
|
แ แฃแ แแ แแฅ แจแแแซแ แญแ แจแแแตแแฝแ แ แแ แจแแแฝแ แ แแ แแ แซแแ แฅแแแ แฅแแญ แแญแตแ แญแตแฅ
| 0
| 0
| 0
| 0
| 1
| 0
|
[
"sadness"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt2
|
****
Emotions: ["sadness", "anger"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00003
|
แฆแญแแต แฒแแแญ แแแ แญแแตแแข แฅแแแซแฅแแญ แแแแฑแ แแแ แ แแแ แซแแฃแข แขแตแฎแฒแซแแซแ แแ แแณแฉแ แจแแญแแแต แแญ แ แซแญแแฝแ แแแซแฝแแ แแแ แฅแ แฅ แ แแแณ แ แตแแ แฉแข แญแ
แฆแญแแต แจแตแแ แญ แจแญแแณ แแณแญ แฅแแ แแญแแแณแ แ แญแฐแแ
| 1
| 0
| 0
| 0
| 1
| 0
|
[
"anger",
"sadness"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt2
|
****
Emotions: ["sadness", "fear"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00004
|
แฅแบ แซแตแฌแแฝ แจแแตแแแ แแ แตแแแต แณแซแต แณแ
แผ แแตแฉแต LabellingSeason แแแแแแ แขแตแฎแตแซแแแต แแแแแ แญแแแแ ?
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt2
|
****
Emotions: ["surprise"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00005
|
แ แแตแ แ
แแฅ แ แ
แแ แฅแจแฐแฐแฅแญ แแ แแซแแ แฅแแฐแแตแฐแตแฅ แแ แแตแฐแแแ แ แ?แแซแ แฅแ
แ แจแแ แแธแ แแแฎแฝ แ แแฑ แแจแแแต แแแขแจแฆแฎแแแ แแ แจแ แแซแ แ
แแฅ แฅแฉแ แ
แแค แฅแ
| 1
| 0
| 0
| 0
| 0
| 0
|
[
"anger"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt2
|
****
Emotions: ["anger", "disgust", "sadness"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00001
|
แ แฃแ แฅแฉ แฐแ แแ
แ แณแแแแต แแแแต แตแแตแจแจแฅแญ แ แฃแ แตแแฝ แแแ แแซแแ แ แแแข แแฐแแ แฐแแแแถ แคแต แแ แญ แตแแ
แญแต แแแตแฐแญ แ แ แแฅ แฅแ 10 แฅแ
แด 13 แแ แญแ แแถ แฐแแตแฐแ แตแแแฃ แฅแ แแ
แด แ แจแฝ แฅแญ แตแแต แจแณแญแฒ แจแแแจแตแ แต แฆแณ แแ แญ แจแณแญแฒ แจแแฃ แฐแ แแตแแ แต แแ แ แแฝ แแซแแ แ แแต แ แ
แแ แ แจแ แจแ แแแฐแ แแแตแฃแขแซ แแฐแแ แ
แญแก แญแฅแญแ แฅแแต แ แแแแแ แฅแ แแ แแฐแ แแตแ แ แแแ แ แแแฝแธแ แฐแแ แแ แฅแคแต
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt3
|
****
Emotions: ["fear"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00002
|
แ แฃแ แแ แแฅ แจแแแซแ แญแ แจแแแตแแฝแ แ แแ แจแแแฝแ แ แแ แแ แซแแ แฅแแแ แฅแแญ แแญแตแ แญแตแฅ
| 0
| 0
| 0
| 0
| 1
| 0
|
[
"sadness"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt3
|
****
Emotions: ["sadness"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00003
|
แฆแญแแต แฒแแแญ แแแ แญแแตแแข แฅแแแซแฅแแญ แแแแฑแ แแแ แ แแแ แซแแฃแข แขแตแฎแฒแซแแซแ แแ แแณแฉแ แจแแญแแแต แแญ แ แซแญแแฝแ แแแซแฝแแ แแแ แฅแ แฅ แ แแแณ แ แตแแ แฉแข แญแ
แฆแญแแต แจแตแแ แญ แจแญแแณ แแณแญ แฅแแ แแญแแแณแ แ แญแฐแแ
| 1
| 0
| 0
| 0
| 1
| 0
|
[
"anger",
"sadness"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt3
|
****
Emotions: ["sadness", "fear"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00004
|
แฅแบ แซแตแฌแแฝ แจแแตแแแ แแ แตแแแต แณแซแต แณแ
แผ แแตแฉแต LabellingSeason แแแแแแ แขแตแฎแตแซแแแต แแแแแ แญแแแแ ?
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt3
|
****
Emotions: ["surprise"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00005
|
แ แแตแ แ
แแฅ แ แ
แแ แฅแจแฐแฐแฅแญ แแ แแซแแ แฅแแฐแแตแฐแตแฅ แแ แแตแฐแแแ แ แ?แแซแ แฅแ
แ แจแแ แแธแ แแแฎแฝ แ แแฑ แแจแแแต แแแขแจแฆแฎแแแ แแ แจแ แแซแ แ
แแฅ แฅแฉแ แ
แแค แฅแ
| 1
| 0
| 0
| 0
| 0
| 0
|
[
"anger"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt3
|
****
Emotions: ["anger"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00001
|
แ แฃแ แฅแฉ แฐแ แแ
แ แณแแแแต แแแแต แตแแตแจแจแฅแญ แ แฃแ แตแแฝ แแแ แแซแแ แ แแแข แแฐแแ แฐแแแแถ แคแต แแ แญ แตแแ
แญแต แแแตแฐแญ แ แ แแฅ แฅแ 10 แฅแ
แด 13 แแ แญแ แแถ แฐแแตแฐแ แตแแแฃ แฅแ แแ
แด แ แจแฝ แฅแญ แตแแต แจแณแญแฒ แจแแแจแตแ แต แฆแณ แแ แญ แจแณแญแฒ แจแแฃ แฐแ แแตแแ แต แแ แ แแฝ แแซแแ แ แแต แ แ
แแ แ แจแ แจแ แแแฐแ แแแตแฃแขแซ แแฐแแ แ
แญแก แญแฅแญแ แฅแแต แ แแแแแ แฅแ แแ แแฐแ แแตแ แ แแแ แ แแแฝแธแ แฐแแ แแ แฅแคแต
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt4
|
****
Emotions: ["fear"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00002
|
แ แฃแ แแ แแฅ แจแแแซแ แญแ แจแแแตแแฝแ แ แแ แจแแแฝแ แ แแ แแ แซแแ แฅแแแ แฅแแญ แแญแตแ แญแตแฅ
| 0
| 0
| 0
| 0
| 1
| 0
|
[
"sadness"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt4
|
****
Emotions: ["sadness"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00003
|
แฆแญแแต แฒแแแญ แแแ แญแแตแแข แฅแแแซแฅแแญ แแแแฑแ แแแ แ แแแ แซแแฃแข แขแตแฎแฒแซแแซแ แแ แแณแฉแ แจแแญแแแต แแญ แ แซแญแแฝแ แแแซแฝแแ แแแ แฅแ แฅ แ แแแณ แ แตแแ แฉแข แญแ
แฆแญแแต แจแตแแ แญ แจแญแแณ แแณแญ แฅแแ แแญแแแณแ แ แญแฐแแ
| 1
| 0
| 0
| 0
| 1
| 0
|
[
"anger",
"sadness"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt4
|
****
Emotions: ["sadness", "fear", "disgust", "anger"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00004
|
แฅแบ แซแตแฌแแฝ แจแแตแแแ แแ แตแแแต แณแซแต แณแ
แผ แแตแฉแต LabellingSeason แแแแแแ แขแตแฎแตแซแแแต แแแแแ แญแแแแ ?
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt4
|
****
Emotions: ["surprise", "anger"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
amh_test_track_a_00005
|
แ แแตแ แ
แแฅ แ แ
แแ แฅแจแฐแฐแฅแญ แแ แแซแแ แฅแแฐแแตแฐแตแฅ แแ แแตแฐแแแ แ แ?แแซแ แฅแ
แ แจแแ แแธแ แแแฎแฝ แ แแฑ แแจแแแต แแแขแจแฆแฎแแแ แแ แจแ แแซแ แ
แแฅ แฅแฉแ แ
แแค แฅแ
| 1
| 0
| 0
| 0
| 0
| 0
|
[
"anger"
] |
amh
|
lightning-ai/gpt-oss-120b
|
prompt4
|
****
Emotions: ["anger", "disgust", "sadness"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00001
|
ุงูุฑุงูู: ูุงูุช ุชุฏู ุญููุฉ ููุจูุง ูุงุจุณุฉุ ุชุฒุฑุจุน ุงูุญุจุงุช ูุงูุจูุช ู
ู ุจุนุฏ ุงูุฐุฑุงุฑู ูุจุฏุงู ูุญูุณูุง ุนูููู
ู ุงููู ูููุงููุง ููุฑู
ุดููุง.
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt1
|
Emotions: ["sadness"]
|
arq_test_track_a_00002
|
ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ
| 0
| 0
| 1
| 0
| 1
| 1
|
[
"fear",
"sadness",
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt1
|
Emotions: ["anger", "disgust"]
|
arq_test_track_a_00003
|
ุงู
ุงูุง ูุงู ูุงุฒู
ุนูู ุนู
ุฑ ููุฏุจ ู ููู
ู: "ุงููุงุฑ ุดุงุนูุฉ ูู ุงููุงููู ู ูุณู
ุนูุง ุตูุช ุงูุณุงุนุฉ ู
ู ุงูููุฑ ู ุงูุฏูุง ุชุน ุงูุนุงููุฉ ู
ุน ุงูุดุชุง ูู ุชุตุจ ุจุฑุง ุขู ุดุญุงู ุงููุงุญุฏ ูุญุณ ุฑูุญู ู
ููุญ ูู ุฏุงุฑู..."
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt1
|
Emotions: ["sadness"]
|
arq_test_track_a_00004
|
ุงูุฑุงูู: ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
ุ ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู.
| 1
| 0
| 0
| 0
| 0
| 1
|
[
"anger",
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt1
|
Emotions: ["surprise", "fear"]
|
arq_test_track_a_00005
|
ุงูุฑุงูู: ู ูุงู ูุงุฐ ุงูุดู ู
ุญููุฑ ุงููุงุณ ูุง ุฎุงุทุฑุด ูุงููุง ูุณุชูุงู ู
ูู ูููู ุฎูููุ ููุฏุฑ ุจูุฎู ู ูู
ุดู ุจูุฎู ุจุตุญ ูู ุญุชู ุตูุชู ู ู
ุง ูุงูุด ูุชุณู
ุน ู
ููุญ.
| 0
| 0
| 0
| 0
| 0
| 1
|
[
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt1
|
Emotions: ["surprise"]
|
arq_test_track_a_00001
|
ุงูุฑุงูู: ูุงูุช ุชุฏู ุญููุฉ ููุจูุง ูุงุจุณุฉุ ุชุฒุฑุจุน ุงูุญุจุงุช ูุงูุจูุช ู
ู ุจุนุฏ ุงูุฐุฑุงุฑู ูุจุฏุงู ูุญูุณูุง ุนูููู
ู ุงููู ูููุงููุง ููุฑู
ุดููุง.
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt2
|
Emotions: ["sadness", "disgust"]
|
arq_test_track_a_00002
|
ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ
| 0
| 0
| 1
| 0
| 1
| 1
|
[
"fear",
"sadness",
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt2
|
First, the text is: "ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ" This appears to be in Arabic dialect. Let me translate it to understand the meaning.
- "ุจุตูุญ" might be a colloquial form, possibly meaning "look" or "hey".
- "ุนู
ุฑ" could be a name, like "Omar".
- "ุฎู
ู
" might be a typo or dialect; perhaps it's "ุฎู
ุณ" meaning "five" or something else, but in context, it might be part of the name or a word.
- "ูู
ูุงู" could be "ูุง ุฃู
ุงู" meaning "oh mother" or an expression of surprise or distress.
- "ุฒุนู
ุฉ" might be "ุฒุนู
" meaning "claim" or "suppose".
- "ุชูุฏุฑ" means "can you".
- "ุชูุฑุจ" means "escape".
- "ููุฏููุงูุฉ" might be "to the divan" or "to the office", but in some contexts, "ุฏููุงูุฉ" could refer to customs or a government office.
Putting it together: "Hey Omar, oh mother, do you claim you can escape to the customs (or office)?"
The tone seems emotional. Let's break down the emotions:
- "ูู
ูุงู" is often used to express distress, surprise, or frustration.
- The question "ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉ?" suggests a challenge or disbelief, which could imply anger or surprise.
- Overall, the speaker seems to be confronting Omar, possibly with sarcasm or frustration.
Now, evaluating against the list: anger, fear, disgust, joy, sadness, surprise.
- Anger: The confrontation and challenge might indicate anger.
- Fear: Not really, as it's more aggressive than fearful.
- Disgust: Unlikely, no indication of revulsion.
- Joy: No, it doesn't seem happy.
- Sadness: Not prominent; it's more confrontational.
- Surprise: The use of "ูู
ูุงู" and the challenging question could imply surprise or shock.
So, possible emotions: anger and surprise.
The text conveys a sense of frustration and disbelief, which aligns with anger and surprise.
Final answer should be in the format: Emotions: ["emotion1", "emotion2"]
I think "anger" and "surprise" are the most fitting.
****
Emotions: ["
|
arq_test_track_a_00003
|
ุงู
ุงูุง ูุงู ูุงุฒู
ุนูู ุนู
ุฑ ููุฏุจ ู ููู
ู: "ุงููุงุฑ ุดุงุนูุฉ ูู ุงููุงููู ู ูุณู
ุนูุง ุตูุช ุงูุณุงุนุฉ ู
ู ุงูููุฑ ู ุงูุฏูุง ุชุน ุงูุนุงููุฉ ู
ุน ุงูุดุชุง ูู ุชุตุจ ุจุฑุง ุขู ุดุญุงู ุงููุงุญุฏ ูุญุณ ุฑูุญู ู
ููุญ ูู ุฏุงุฑู..."
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt2
|
First, I need to evaluate the text for the emotions: anger, fear, disgust, joy, sadness, surprise. The text is in Arabic, but I can understand it. It translates to: "Amala had to lie and continue: 'The fire is burning in the hearth, and they hear the sound of the clock from the lorry, and the warmth of the family with the winter that pours outside... Oh, how one feels good in their home...'"
Now, let's break down the emotions:
- The speaker is describing a cozy, warm scene: fire in the hearth, family warmth, feeling good at home. This sounds positive and comforting.
- The phrase "Oh, how one feels good in their home" suggests contentment and happiness.
- However, the context is that Amala had to lie and continue saying this. So, there might be an underlying tension or falseness.
But looking at the content itself, it's about comfort, warmth, and joy in being at home. The emotions conveyed by the words are positive.
Possible emotions:
- Joy: Feeling good in one's home is joyful.
- Sadness: Not really, as it's about comfort.
- Anger, fear, disgust, surprise: No signs of these.
The text is part of a narrative where someone is lying, but the quoted speech itself is describing a happy scene. So, the direct emotion in the speech is joy and comfort.
Therefore, the primary emotion here is joy.
Emotions: ["joy"]
|
arq_test_track_a_00004
|
ุงูุฑุงูู: ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
ุ ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู.
| 1
| 0
| 0
| 0
| 0
| 1
|
[
"anger",
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt2
|
First, I need to evaluate the text for emotions from the list: anger, fear, disgust, joy, sadness, surprise. The text is in Arabic: "ุงูุฑุงูู: ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
ุ ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู."
Translating the text to English to understand it better:
- "ุงูุฑุงูู" means "Narrator".
- "ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
" โ "ุงูุญุงูุฉ" could mean "the situation" or "the condition", "ูุงูุช" is "was", "ู
ููููุฉ" might be a colloquial term. I think "ู
ููููุฉ" is derived from "ููู" which means "horror" or "awe", so it could mean "terrifying" or "horrific". "ุงูููู
" is "today". So, "the situation was terrifying today."
- "ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู" โ "ูุนูุงู" might be "ูุนููู" which means "and on him" or "and therefore", but it could be a typo or dialect. "ูุงู ุงูุบุงุดู" โ "ุงูุบุงุดู" isn't standard Arabic; it might be "ุงูุบุงุดู" meaning "the oppressive" or something, but I think it's likely "ุงูุบุงุดู" is a misspelling or dialect for "ุงูุบุถุจ" which means "anger", or perhaps "ุบุงุดู" means something else. In some dialects, "ุบุงุดู" could be related to "ุบุถุจ" (anger). "ูุงู
ู ุฒุนูุงู" โ "ูุงู
ู" means "complete" or "full", "ุฒุนูุงู" might be "ุฒุนูุงู" which means "angry" or "upset". So, "and he was completely angry."
Putting it together: "Narrator: The situation was terrifying today, and he was completely angry."
Now, identifying emotions:
- "ู
ููููุฉ" (terrifying) suggests fear.
- "ุฒุนูุงู" (angry) suggests anger.
So, the emotions conveyed are fear and anger.
Checking the list: anger, fear, disgust, joy, sadness, surprise.
- Fear is present.
- Anger is present.
- No indication of disgust, joy, sadness, or surprise.
Therefore, the emotions are anger and fear.
Formatting the response as specified: Emotions: ["anger",
|
arq_test_track_a_00005
|
ุงูุฑุงูู: ู ูุงู ูุงุฐ ุงูุดู ู
ุญููุฑ ุงููุงุณ ูุง ุฎุงุทุฑุด ูุงููุง ูุณุชูุงู ู
ูู ูููู ุฎูููุ ููุฏุฑ ุจูุฎู ู ูู
ุดู ุจูุฎู ุจุตุญ ูู ุญุชู ุตูุชู ู ู
ุง ูุงูุด ูุชุณู
ุน ู
ููุญ.
| 0
| 0
| 0
| 0
| 0
| 1
|
[
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt2
|
Emotions: ["surprise"]
|
arq_test_track_a_00001
|
ุงูุฑุงูู: ูุงูุช ุชุฏู ุญููุฉ ููุจูุง ูุงุจุณุฉุ ุชุฒุฑุจุน ุงูุญุจุงุช ูุงูุจูุช ู
ู ุจุนุฏ ุงูุฐุฑุงุฑู ูุจุฏุงู ูุญูุณูุง ุนูููู
ู ุงููู ูููุงููุง ููุฑู
ุดููุง.
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt3
|
Let's analyze the text step by step:
1. **Arousal and Valence**: The text describes someone giving out dried beans, with children scattering them around the house and then searching for them to crunch/eat. The tone is observational and neutral, with no strong emotional language. Arousal is low (calm description), and valence is slightly negative (due to the messiness and scrambling, but not intensely so).
2. **Context**: There is no clear threat, obstacle, loss, or rejection. The scene is mundane and slightly chaotic (children making a mess and foraging), but it lacks any significant negative event. It might imply mild frustration or resignation to the mess, but not strongly.
3. **Mapping to labels**:
- Not high arousal + negative + obstacle โ no anger.
- Not high arousal + negative + threat โ no fear.
- Not low/medium arousal + negative + revulsion/rejection โ no disgust (no element of revulsion).
- Low arousal + negative (slight) + resignation? Possibly mild sadness/resignation at the mess, but weak.
- Not positive โ no joy.
- Not unexpected or sudden โ no surprise.
The primary emotion hinted is a subtle, resigned acceptance of the chaotic situation, which aligns best with low-intensity sadness (as a form of melancholy or resignation). However, it is very mild. Alternatively, it might be neutral with no strong emotion.
Given the rules, the closest match is sadness due to the low arousal, negative valence (slight), and context of minor loss (order) or resignation.
****
Emotions: ["sadness"]
|
arq_test_track_a_00002
|
ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ
| 0
| 0
| 1
| 0
| 1
| 1
|
[
"fear",
"sadness",
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt3
|
****
Emotions: ["anger"]
### Step-by-Step Reasoning:
1. **Arousal and Valence**:
- The text uses emphatic language ("ุจุตูุญ" and "ูู
ูุงู") and a rhetorical challenge ("ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ"), indicating high arousal. The tone is confrontational and negative, suggesting negative valence.
2. **Context**:
- The speaker is addressing someone ("ุนู
ุฑ ุฎู
ู
") with frustration, implying an obstacle or offense (e.g., evasion of responsibility or authority). The phrase "ุชูุฑุจ ููุฏูููุงูุฉ" (escape to the customs office) suggests defiance or avoidance, reinforcing an obstacle/offense context.
3. **Mapping to Emotion**:
- High arousal + negative valence + obstacle/offense context aligns directly with **anger**. There is no indication of threat (fear), revulsion (disgust), loss (sadness), positive valence (joy), or unexpectedness (surprise).
**Emotions: ["anger"]**
|
arq_test_track_a_00003
|
ุงู
ุงูุง ูุงู ูุงุฒู
ุนูู ุนู
ุฑ ููุฏุจ ู ููู
ู: "ุงููุงุฑ ุดุงุนูุฉ ูู ุงููุงููู ู ูุณู
ุนูุง ุตูุช ุงูุณุงุนุฉ ู
ู ุงูููุฑ ู ุงูุฏูุง ุชุน ุงูุนุงููุฉ ู
ุน ุงูุดุชุง ูู ุชุตุจ ุจุฑุง ุขู ุดุญุงู ุงููุงุญุฏ ูุญุณ ุฑูุญู ู
ููุญ ูู ุฏุงุฑู..."
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt3
|
Let's analyze the text step by step:
1. **Arousal and Valence**: The text describes a cozy, warm home scene ("ุงููุงุฑ ุดุงุนูุฉ ูู ุงููุงููู" - fire burning in the hearth, "ุงูุฏูุง ุชุน ุงูุนุงููุฉ" - family warmth) contrasting with harsh winter outside ("ุงูุดุชุง ูู ุชุตุจ ุจุฑุง" - winter pouring outside). The speaker expresses contentment ("ุขู ุดุญุงู ุงููุงุญุฏ ูุญุณ ุฑูุญู ู
ููุญ ูู ุฏุงุฑู" - oh how one feels good in their home). This suggests low to medium arousal (calm, reflective) and positive valence (pleasant, comforting).
2. **Context**: There is no threat, obstacle, loss, or rejection. Instead, it emphasizes comfort, safety, and joy in one's home during winter.
3. **Mapping to labels**:
- Positive valence directly points to joy.
- There is no element of surprise (nothing unexpected or sudden), anger (no obstacle/offense), fear (no threat), disgust (no revulsion), or sadness (no loss).
The primary emotion conveyed is joy from the positive feeling of being at home.
****
Emotions: ["joy"]
|
arq_test_track_a_00004
|
ุงูุฑุงูู: ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
ุ ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู.
| 1
| 0
| 0
| 0
| 0
| 1
|
[
"anger",
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt3
|
****
Emotions: ["anger"]
**Step-by-Step Analysis:**
1. **Arousal and Valence:**
- The text describes a tense, escalated situation ("ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ" - the situation was exaggerated/hyped up) and frustration ("ุงูุบุงุดู ูุงู
ู ุฒุนูุงู" - the guy was completely furious). This suggests **high arousal** (intense emotional activation) and **negative valence** (unpleasant experience).
2. **Context:**
- The context involves an obstacle or offense (e.g., conflict, provocation) leading to heightened agitation and anger ("ุฒุนูุงู" explicitly means furious/angry). There is no indication of threat, loss, revulsion, or surpriseโjust interpersonal tension.
3. **Mapping to Labels:**
- High arousal + negative valence + obstacle/offense context โ **anger**.
- No other emotions fit: Not fear (no imminent threat), disgust (no revulsion), sadness (no loss), joy (negative valence), or surprise (not sudden/unexpected in a neutral sense).
**Note:** The text is in Arabic, but the emotional cues are clear from keywords like "ู
ููููุฉ" (hyped/escalated) and "ุฒุนูุงู" (furious).
|
arq_test_track_a_00005
|
ุงูุฑุงูู: ู ูุงู ูุงุฐ ุงูุดู ู
ุญููุฑ ุงููุงุณ ูุง ุฎุงุทุฑุด ูุงููุง ูุณุชูุงู ู
ูู ูููู ุฎูููุ ููุฏุฑ ุจูุฎู ู ูู
ุดู ุจูุฎู ุจุตุญ ูู ุญุชู ุตูุชู ู ู
ุง ูุงูุด ูุชุณู
ุน ู
ููุญ.
| 0
| 0
| 0
| 0
| 0
| 1
|
[
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt3
|
****
Emotions: ["surprise"]
|
arq_test_track_a_00001
|
ุงูุฑุงูู: ูุงูุช ุชุฏู ุญููุฉ ููุจูุง ูุงุจุณุฉุ ุชุฒุฑุจุน ุงูุญุจุงุช ูุงูุจูุช ู
ู ุจุนุฏ ุงูุฐุฑุงุฑู ูุจุฏุงู ูุญูุณูุง ุนูููู
ู ุงููู ูููุงููุง ููุฑู
ุดููุง.
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt4
|
Let's analyze the text step by step:
Text: "ุงูุฑุงูู: ูุงูุช ุชุฏู ุญููุฉ ููุจูุง ูุงุจุณุฉุ ุชุฒุฑุจุน ุงูุญุจุงุช ูุงูุจูุช ู
ู ุจุนุฏ ุงูุฐุฑุงุฑู ูุจุฏุงู ูุญูุณูุง ุนูููู
ู ุงููู ูููุงููุง ููุฑู
ุดููุง."
Translation (to understand the content): "Narrator: She would give a handful of dry beans, scattering the beans in the house after the children start searching for them, and whoever finds them crunches them."
Now, appraise the emotions using the dimensions:
1. **Goal Relevance**: The action (scattering beans for children to find and eat) seems to be a playful or resourceful way to feed children, likely in a context of scarcity. It is important as it relates to basic needs (food) and family care.
2. **Goal Congruence**: The outcome is positive - children get to eat (even if it's just dry beans). The narrator (she) is providing food in a creative way, which is beneficial. However, the method (scattering beans) might imply a lack of proper food, so there could be an underlying negative context (poverty), but the immediate action is congruent.
3. **Agency**: The cause is the narrator (she) who is actively providing the beans. She has agency in this situation.
4. **Coping Potential**: She has control over the situation - she chooses to scatter the beans for the children to find. This is a coping mechanism for feeding them.
Mapping to emotions:
- The action is goal-congruent (positive) as it results in children getting food. This aligns with **joy** (the positive emotion of providing and the children enjoying the activity).
- There is no clear goal incongruence, moral violation, or unexpectedness. The tone is descriptive and neutral, with a hint of nostalgia or resourcefulness.
- No anger, fear, disgust, or surprise is evident. Sadness might be inferred from the context of poverty (dry beans as food, scattering to make it a game), but the text itself focuses on the action rather than expressing loss or resignation. The narrator is not expressing sadness; it is more matter-of-fact.
Thus, the primary emotion conveyed is joy (from the positive and playful aspect of feeding the children in this way).
Emotions: ["joy"]
|
arq_test_track_a_00002
|
ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ
| 0
| 0
| 1
| 0
| 1
| 1
|
[
"fear",
"sadness",
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt4
|
First, I need to understand the text: "ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ" This is in Tunisian Arabic. Let me translate it to English to better analyze the emotions.
Translation: "Hey, Omar, you think you can escape to the customs office?" or more idiomatically, "Omar, do you really think you can run away to the customs office?" It might be a rhetorical question, possibly implying that escaping is futile or foolish.
Now, I'll evaluate the emotions based on the appraisal dimensions:
- **Goal Relevance**: Is this important? The speaker is addressing Omar about escaping to the customs office. This could be important if it's about avoiding something, like duties or consequences. So, yes, it seems relevant.
- **Goal Congruence**: Is it positive or negative? The speaker is questioning Omar's ability to escape, which suggests that the escape might not be successful or is negative in some way. It implies incongruenceโOmar's goal (to escape) might be hindered or impossible. So, negative.
- **Agency**: Who caused it? The speaker is addressing Omar, so the cause might be attributed to Omar himself (self) or the situation. The question is about Omar's action ("you can escape"), so agency could be with Omar (self) or the situation (e.g., customs office being strict). But the speaker is challenging Omar, so it might imply that Omar is responsible for trying to escape.
- **Coping Potential**: Does the person have control? The speaker is skeptical ("you think you can?"), suggesting low coping potentialโOmar might not be able to change the outcome or escape successfully.
Now, mapping to emotions:
- Since it's goal incongruent (negative), and caused by self (Omar's attempt to escape), but the coping potential seems low (skepticism about success), this might lead to sadness or fear, but let's see.
- It doesn't seem to involve moral violation, so disgust is unlikely.
- It might be unexpected if Omar is trying to escape, but the speaker is questioning it, so surprise isn't strongly conveyed.
- Anger: Incongruent + caused by other + high coping (desire to fight). Here, the speaker might be frustrated with Omar, so agency could be other (Omar is the other from speaker's perspective). The speaker is challenging Omar, which could indicate a desire to confront
|
arq_test_track_a_00003
|
ุงู
ุงูุง ูุงู ูุงุฒู
ุนูู ุนู
ุฑ ููุฏุจ ู ููู
ู: "ุงููุงุฑ ุดุงุนูุฉ ูู ุงููุงููู ู ูุณู
ุนูุง ุตูุช ุงูุณุงุนุฉ ู
ู ุงูููุฑ ู ุงูุฏูุง ุชุน ุงูุนุงููุฉ ู
ุน ุงูุดุชุง ูู ุชุตุจ ุจุฑุง ุขู ุดุญุงู ุงููุงุญุฏ ูุญุณ ุฑูุญู ู
ููุญ ูู ุฏุงุฑู..."
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt4
|
Let's analyze the text step by step:
The text is in Arabic (Moroccan dialect) and translates to: "Amala had to lie and continue: 'The fire is burning in the hearth, and they hear the sound of the clock from the truck, and the heater for the family with the winter that pours outside... Oh, how one feels good in their home...'"
This is a narrative where Amala is forced to lie and describe a cozy, warm domestic scene (fire in hearth, heater, feeling good at home) to cover up something. The context suggests this is a deceptive description meant to reassure or mislead.
Now, appraise using the dimensions:
1. **Goal Relevance**: The situation is important because Amala is compelled to lie (likely to avoid negative consequences or maintain a facade).
2. **Goal Congruence**: The lie describes a positive scene (warmth, comfort, safety), but the act of lying is incongruent with honesty/morality. The overall situation is negative due to deception.
3. **Agency**: The cause is ambiguous. Amala is forced to lie ("ูุงู ูุงุฒู
" - had to), implying external pressure (possibly from others or the situation).
4. **Coping Potential**: Low coping - Amala seems to have no choice but to comply with the lie.
Now, map to emotions:
- The positive description (goal congruent) might superficially suggest joy, but it is fabricated and insincere. The underlying emotion is not joy because it's a lie.
- The act of lying under coercion is goal incongruent (negative), caused by others/situation, with low coping (cannot resist). This aligns with **sadness** (resignation) or possibly fear (if there is threat).
- There is moral violation (lying) which could lead to disgust (self-disgust or disgust at the situation), but the text doesn't explicitly express that.
- The situation is not unexpected (it's a planned lie), so no surprise.
- The low coping and resignation suggest sadness rather than anger (no desire to fight) or fear (no explicit uncertainty or desire to flee).
Primary emotion here is the sadness of being forced to deceive and the resignation to that fact. The quoted words are not genuine emotions but a constructed narrative.
Thus, the emotion conveyed is sadness.
Emotions: ["sadness"]
|
arq_test_track_a_00004
|
ุงูุฑุงูู: ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
ุ ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู.
| 1
| 0
| 0
| 0
| 0
| 1
|
[
"anger",
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt4
|
Let's analyze the text step by step:
The text translates to: "Narrator: The situation was terrible today, and on top of that, the boss was completely furious."
1. **Goal Relevance**: The situation is described as "terrible" (ู
ููููุฉ) and the boss is "furious" (ุฒุนูุงู). This implies negative events that are likely important to the narrator.
2. **Goal Congruence**: The events are negative (harmful) - a terrible situation and an angry boss.
3. **Agency**: The negative events are caused by the situation (the terrible state) and the boss (other).
4. **Coping Potential**: The narrator does not express control over the situation or the boss's anger, suggesting low coping potential.
Now, applying the rules:
- The events are goal-incongruent (negative).
- The boss's fury is caused by another (other) and implies a moral violation (anger often relates to perceived wrongs), which could lead to disgust if it involves rejection or moral judgment. However, the narrator is describing the boss's state, not necessarily their own reaction.
- The terrible situation combined with low coping potential might lead to fear (if there is uncertainty) or sadness (if it feels like a loss).
Specifically:
- The narrator might feel **fear** due to the negative situation (incongruent), low coping (can't change the boss's anger or the situation), and uncertainty (what might happen next?).
- The boss's fury could be perceived as a moral violation (e.g., unjust anger), leading to **disgust** (rejection of the boss's behavior).
- There might also be **sadness** if the narrator feels resigned to the terrible situation.
The text does not indicate surprise (it describes a state, not an unexpected event) or joy (clearly negative). Anger might be felt by the boss, but not necessarily by the narrator.
Thus, the narrator likely experiences fear (of the situation/boss), disgust (toward the boss's behavior), and sadness (over the terrible state).
****
Emotions: ["fear", "disgust", "sadness"]
|
arq_test_track_a_00005
|
ุงูุฑุงูู: ู ูุงู ูุงุฐ ุงูุดู ู
ุญููุฑ ุงููุงุณ ูุง ุฎุงุทุฑุด ูุงููุง ูุณุชูุงู ู
ูู ูููู ุฎูููุ ููุฏุฑ ุจูุฎู ู ูู
ุดู ุจูุฎู ุจุตุญ ูู ุญุชู ุตูุชู ู ู
ุง ูุงูุด ูุชุณู
ุน ู
ููุญ.
| 0
| 0
| 0
| 0
| 0
| 1
|
[
"surprise"
] |
arq
|
lightning-ai/DeepSeek-V3.1
|
prompt4
|
Let's analyze the text step by step:
Text: "ุงูุฑุงูู: ู ูุงู ูุงุฐ ุงูุดู ู
ุญููุฑ ุงููุงุณ ูุง ุฎุงุทุฑุด ูุงููุง ูุณุชูุงู ู
ูู ูููู ุฎูููุ ููุฏุฑ ุจูุฎู ู ูู
ุดู ุจูุฎู ุจุตุญ ูู ุญุชู ุตูุชู ู ู
ุง ูุงูุด ูุชุณู
ุน ู
ููุญ."
Translation: "Narrator: And this thing was puzzling people because they expected him to be light, to speak lightly and walk lightly, but even his voice wasn't heard well."
Appraisal dimensions:
- Goal Relevance: The situation is relevant to people's expectations (they had specific expectations about how he should be).
- Goal Congruence: Incongruent - the reality does not match their expectations (he is not light, his voice isn't clear). This is negative as it contradicts what they anticipated.
- Agency: Caused by the person (his characteristics) - the text describes "him" not meeting expectations.
- Coping Potential: Low coping - the people are puzzled and surprised; they don't have control over how he is.
Now mapping to emotions:
- Incongruent + caused by other (the person described) + low coping (they can't change him) โ This doesn't perfectly match anger (which requires high coping) or fear (which requires uncertainty/desire to flee). Instead, it aligns more with surprise due to the unexpectedness.
- The text explicitly says "ู
ุญูุฑ ุงููุงุณ" (puzzling people) and they expected one thing but got another, indicating surprise.
- There is no indication of moral violation (disgust), irreversible loss (sadness), or positive outcome (joy). Fear might be present if there was uncertainty, but the primary reaction is puzzlement/surprise.
Emotions: ["surprise"]
****
Emotions: ["surprise"]
|
arq_test_track_a_00001
|
ุงูุฑุงูู: ูุงูุช ุชุฏู ุญููุฉ ููุจูุง ูุงุจุณุฉุ ุชุฒุฑุจุน ุงูุญุจุงุช ูุงูุจูุช ู
ู ุจุนุฏ ุงูุฐุฑุงุฑู ูุจุฏุงู ูุญูุณูุง ุนูููู
ู ุงููู ูููุงููุง ููุฑู
ุดููุง.
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt1
|
Emotions: ["joy"]
|
arq_test_track_a_00002
|
ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ
| 0
| 0
| 1
| 0
| 1
| 1
|
[
"fear",
"sadness",
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt1
|
Emotions: ["surprise"]
|
arq_test_track_a_00003
|
ุงู
ุงูุง ูุงู ูุงุฒู
ุนูู ุนู
ุฑ ููุฏุจ ู ููู
ู: "ุงููุงุฑ ุดุงุนูุฉ ูู ุงููุงููู ู ูุณู
ุนูุง ุตูุช ุงูุณุงุนุฉ ู
ู ุงูููุฑ ู ุงูุฏูุง ุชุน ุงูุนุงููุฉ ู
ุน ุงูุดุชุง ูู ุชุตุจ ุจุฑุง ุขู ุดุญุงู ุงููุงุญุฏ ูุญุณ ุฑูุญู ู
ููุญ ูู ุฏุงุฑู..."
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt1
|
Emotions: ["joy"]
|
arq_test_track_a_00004
|
ุงูุฑุงูู: ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
ุ ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู.
| 1
| 0
| 0
| 0
| 0
| 1
|
[
"anger",
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt1
|
Emotions: ["anger"]
|
arq_test_track_a_00005
|
ุงูุฑุงูู: ู ูุงู ูุงุฐ ุงูุดู ู
ุญููุฑ ุงููุงุณ ูุง ุฎุงุทุฑุด ูุงููุง ูุณุชูุงู ู
ูู ูููู ุฎูููุ ููุฏุฑ ุจูุฎู ู ูู
ุดู ุจูุฎู ุจุตุญ ูู ุญุชู ุตูุชู ู ู
ุง ูุงูุด ูุชุณู
ุน ู
ููุญ.
| 0
| 0
| 0
| 0
| 0
| 1
|
[
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt1
|
Emotions: ["surprise"]
|
arq_test_track_a_00001
|
ุงูุฑุงูู: ูุงูุช ุชุฏู ุญููุฉ ููุจูุง ูุงุจุณุฉุ ุชุฒุฑุจุน ุงูุญุจุงุช ูุงูุจูุช ู
ู ุจุนุฏ ุงูุฐุฑุงุฑู ูุจุฏุงู ูุญูุณูุง ุนูููู
ู ุงููู ูููุงููุง ููุฑู
ุดููุง.
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt2
|
****
Emotions: ["joy"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00002
|
ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ
| 0
| 0
| 1
| 0
| 1
| 1
|
[
"fear",
"sadness",
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt2
|
****
Emotions: ["surprise"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00003
|
ุงู
ุงูุง ูุงู ูุงุฒู
ุนูู ุนู
ุฑ ููุฏุจ ู ููู
ู: "ุงููุงุฑ ุดุงุนูุฉ ูู ุงููุงููู ู ูุณู
ุนูุง ุตูุช ุงูุณุงุนุฉ ู
ู ุงูููุฑ ู ุงูุฏูุง ุชุน ุงูุนุงููุฉ ู
ุน ุงูุดุชุง ูู ุชุตุจ ุจุฑุง ุขู ุดุญุงู ุงููุงุญุฏ ูุญุณ ุฑูุญู ู
ููุญ ูู ุฏุงุฑู..."
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt2
|
****
Emotions: ["joy"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00004
|
ุงูุฑุงูู: ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
ุ ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู.
| 1
| 0
| 0
| 0
| 0
| 1
|
[
"anger",
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt2
|
****
Emotions: ["anger"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00005
|
ุงูุฑุงูู: ู ูุงู ูุงุฐ ุงูุดู ู
ุญููุฑ ุงููุงุณ ูุง ุฎุงุทุฑุด ูุงููุง ูุณุชูุงู ู
ูู ูููู ุฎูููุ ููุฏุฑ ุจูุฎู ู ูู
ุดู ุจูุฎู ุจุตุญ ูู ุญุชู ุตูุชู ู ู
ุง ูุงูุด ูุชุณู
ุน ู
ููุญ.
| 0
| 0
| 0
| 0
| 0
| 1
|
[
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt2
|
****
Emotions: ["surprise"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00001
|
ุงูุฑุงูู: ูุงูุช ุชุฏู ุญููุฉ ููุจูุง ูุงุจุณุฉุ ุชุฒุฑุจุน ุงูุญุจุงุช ูุงูุจูุช ู
ู ุจุนุฏ ุงูุฐุฑุงุฑู ูุจุฏุงู ูุญูุณูุง ุนูููู
ู ุงููู ูููุงููุง ููุฑู
ุดููุง.
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt3
|
****
Emotions: ["joy"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00002
|
ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ
| 0
| 0
| 1
| 0
| 1
| 1
|
[
"fear",
"sadness",
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt3
|
****
Emotions: ["anger", "surprise"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00003
|
ุงู
ุงูุง ูุงู ูุงุฒู
ุนูู ุนู
ุฑ ููุฏุจ ู ููู
ู: "ุงููุงุฑ ุดุงุนูุฉ ูู ุงููุงููู ู ูุณู
ุนูุง ุตูุช ุงูุณุงุนุฉ ู
ู ุงูููุฑ ู ุงูุฏูุง ุชุน ุงูุนุงููุฉ ู
ุน ุงูุดุชุง ูู ุชุตุจ ุจุฑุง ุขู ุดุญุงู ุงููุงุญุฏ ูุญุณ ุฑูุญู ู
ููุญ ูู ุฏุงุฑู..."
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt3
|
****
Emotions: ["joy"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00004
|
ุงูุฑุงูู: ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
ุ ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู.
| 1
| 0
| 0
| 0
| 0
| 1
|
[
"anger",
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt3
|
****
Emotions: ["anger"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00005
|
ุงูุฑุงูู: ู ูุงู ูุงุฐ ุงูุดู ู
ุญููุฑ ุงููุงุณ ูุง ุฎุงุทุฑุด ูุงููุง ูุณุชูุงู ู
ูู ูููู ุฎูููุ ููุฏุฑ ุจูุฎู ู ูู
ุดู ุจูุฎู ุจุตุญ ูู ุญุชู ุตูุชู ู ู
ุง ูุงูุด ูุชุณู
ุน ู
ููุญ.
| 0
| 0
| 0
| 0
| 0
| 1
|
[
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt3
|
****
Emotions: ["surprise"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00001
|
ุงูุฑุงูู: ูุงูุช ุชุฏู ุญููุฉ ููุจูุง ูุงุจุณุฉุ ุชุฒุฑุจุน ุงูุญุจุงุช ูุงูุจูุช ู
ู ุจุนุฏ ุงูุฐุฑุงุฑู ูุจุฏุงู ูุญูุณูุง ุนูููู
ู ุงููู ูููุงููุง ููุฑู
ุดููุง.
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt4
|
****
Emotions: ["joy"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00002
|
ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ
| 0
| 0
| 1
| 0
| 1
| 1
|
[
"fear",
"sadness",
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt4
|
****
Emotions: ["fear", "surprise"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00003
|
ุงู
ุงูุง ูุงู ูุงุฒู
ุนูู ุนู
ุฑ ููุฏุจ ู ููู
ู: "ุงููุงุฑ ุดุงุนูุฉ ูู ุงููุงููู ู ูุณู
ุนูุง ุตูุช ุงูุณุงุนุฉ ู
ู ุงูููุฑ ู ุงูุฏูุง ุชุน ุงูุนุงููุฉ ู
ุน ุงูุดุชุง ูู ุชุตุจ ุจุฑุง ุขู ุดุญุงู ุงููุงุญุฏ ูุญุณ ุฑูุญู ู
ููุญ ูู ุฏุงุฑู..."
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt4
|
****
Emotions: ["joy"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00004
|
ุงูุฑุงูู: ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
ุ ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู.
| 1
| 0
| 0
| 0
| 0
| 1
|
[
"anger",
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt4
|
****
Emotions: ["anger"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00005
|
ุงูุฑุงูู: ู ูุงู ูุงุฐ ุงูุดู ู
ุญููุฑ ุงููุงุณ ูุง ุฎุงุทุฑุด ูุงููุง ูุณุชูุงู ู
ูู ูููู ุฎูููุ ููุฏุฑ ุจูุฎู ู ูู
ุดู ุจูุฎู ุจุตุญ ูู ุญุชู ุตูุชู ู ู
ุง ูุงูุด ูุชุณู
ุน ู
ููุญ.
| 0
| 0
| 0
| 0
| 0
| 1
|
[
"surprise"
] |
arq
|
lightning-ai/gpt-oss-120b
|
prompt4
|
****
Emotions: ["surprise"]
Knowledge cutoff: 2024-06
Current date: 2025-11-28
Reasoning: low
|
arq_test_track_a_00001
|
ุงูุฑุงูู: ูุงูุช ุชุฏู ุญููุฉ ููุจูุง ูุงุจุณุฉุ ุชุฒุฑุจุน ุงูุญุจุงุช ูุงูุจูุช ู
ู ุจุนุฏ ุงูุฐุฑุงุฑู ูุจุฏุงู ูุญูุณูุง ุนูููู
ู ุงููู ูููุงููุง ููุฑู
ุดููุง.
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness"]
|
arq_test_track_a_00002
|
ุจุตูุญ ุนู
ุฑ ุฎู
ู
: ูู
ูุงู ุฒุนู
ุฉ ุชูุฏุฑ ุชูุฑุจ ููุฏูููุงูุฉุ
| 0
| 0
| 1
| 0
| 1
| 1
|
[
"fear",
"sadness",
"surprise"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "surprise"]
|
arq_test_track_a_00003
|
ุงู
ุงูุง ูุงู ูุงุฒู
ุนูู ุนู
ุฑ ููุฏุจ ู ููู
ู: "ุงููุงุฑ ุดุงุนูุฉ ูู ุงููุงููู ู ูุณู
ุนูุง ุตูุช ุงูุณุงุนุฉ ู
ู ุงูููุฑ ู ุงูุฏูุง ุชุน ุงูุนุงููุฉ ู
ุน ุงูุดุชุง ูู ุชุตุจ ุจุฑุง ุขู ุดุญุงู ุงููุงุญุฏ ูุญุณ ุฑูุญู ู
ููุญ ูู ุฏุงุฑู..."
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness"]
|
arq_test_track_a_00004
|
ุงูุฑุงูู: ุงูุญุงูุฉ ูุงูุช ู
ููููุฉ ุงูููู
ุ ูุนูุงู ูุงู ุงูุบุงุดู ูุงู
ู ุฒุนูุงู.
| 1
| 0
| 0
| 0
| 0
| 1
|
[
"anger",
"surprise"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness"]
|
arq_test_track_a_00005
|
ุงูุฑุงูู: ู ูุงู ูุงุฐ ุงูุดู ู
ุญููุฑ ุงููุงุณ ูุง ุฎุงุทุฑุด ูุงููุง ูุณุชูุงู ู
ูู ูููู ุฎูููุ ููุฏุฑ ุจูุฎู ู ูู
ุดู ุจูุฎู ุจุตุญ ูู ุญุชู ุตูุชู ู ู
ุง ูุงูุด ูุชุณู
ุน ู
ููุญ.
| 0
| 0
| 0
| 0
| 0
| 1
|
[
"surprise"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "disgust"]
|
arq_test_track_a_00006
|
ุงูุฑุงูู: ุนู
ุฑ ู
ุงูุงูุด ููุจู ุตุฏูุฉ ุงูุฎุจุฒ ุชุน ุงูุฌูุฑุงูุ ูุงู ุญูุฑู.
| 0
| 0
| 0
| 0
| 0
| 0
|
[] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness"]
|
arq_test_track_a_00007
|
ุญุณูุฉ: ุงู
ุงูุง ุฑุงูุญ ููู
ู ูุนู
ุฑ ุฑูุณุงู ุงููุงุณ ูู ูู ุฏูุฑุฉ ููู
ุง ูุงู.
| 1
| 1
| 0
| 0
| 1
| 0
|
[
"anger",
"disgust",
"sadness"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness"]
|
arq_test_track_a_00008
|
ุงูุฑุงูู: ุงูุนุงููุฉ ุฏูุงูู ุฏุฎููุง ู
ู ุงูุชุฑู ุจูุง ู
ุง ูุนุฑููุง ูุงุด ุตุฑุงูู.
| 0
| 0
| 0
| 0
| 1
| 1
|
[
"sadness",
"surprise"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "surprise"]
|
arq_test_track_a_00009
|
ูุญุฏุฉ ุฃุฎุฑู: ูุงู
ู ุงููุงุณ ูู
ูุชูุง ู ุงุญูุง ุซุงููุ
| 0
| 0
| 1
| 0
| 1
| 1
|
[
"fear",
"sadness",
"surprise"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "fear"]
|
arq_test_track_a_00010
|
ุงูุฑุงูู: ุญุชู ููููุงุ ุงูุชููุงุจ ุฏูุงููู
ูุงู ุบูุฑ ุฎุงุทุฑ ููู
ุง ุญุงุจูู ูุนุฑููุง ุญุงุฌุงุช ุนููู ู ูุถุญููุง ุดููุฉ ููู
ุง ูู ุงูุนุงุฏุฉ ู
ุน ูุงุฐ ุงููุงุณ ู ุงฺูจูุงููู ูู ููู
ุง ููู
ุง.
| 0
| 0
| 0
| 1
| 0
| 0
|
[
"joy"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["joy"]
|
arq_test_track_a_00011
|
ุญุณูุฉ: ูู ูุณู
ุนูู ูุถูุนูุง ูู ููุชูู
ู ูุฑูุฏู ุงูุฑูุญ ูู ุฑูุณุงููู
.
| 1
| 1
| 0
| 0
| 0
| 0
|
[
"anger",
"disgust"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "anger"]
|
arq_test_track_a_00012
|
ุนููู: ุงุฏูู ุงูุจูุฏูู ู ุงู
ุดู ูุฏูุฎูู.
| 1
| 0
| 0
| 0
| 0
| 0
|
[
"anger"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "fear"]
|
arq_test_track_a_00013
|
ุงูู
ุชุญุฏูุซ ุนุทู ุฃุณู
ุงูุงุช ุชุน ู
ุถุงุฑุจ ูุนุฑูููู
ุงูููุงุญูู.
| 0
| 0
| 0
| 0
| 0
| 0
|
[] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness"]
|
arq_test_track_a_00014
|
ุนููู: ุดุญุงู ู
ููุญ ูููุงู ุญูุงูุฌ ุญุทูููุงูู
ุจุฌูู ููุณููุงูู
. ูุนูุงุด ููู
ูู ูุฎุจูู ูุฐุง ุงูุฑูุฒุ
| 0
| 0
| 0
| 1
| 0
| 1
|
[
"joy",
"surprise"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "fear"]
|
arq_test_track_a_00015
|
ุนููู: "ูุธูู ูุฎุฏุนู ุงูุฌูุน." ู ุถุญูุช.
| 0
| 1
| 0
| 0
| 1
| 0
|
[
"disgust",
"sadness"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "joy"]
|
arq_test_track_a_00016
|
ุงูุฑุงูู: ูุงููุง ูุนุงูููุง ูุงุฐ ุงูุบุงุดู ุจุงุด ู
ุง ูุฎู
ู
ููุด ู ุถุฑู ุญูุงุฉ ูุงุฐ ุงูุฑุฌุงู ู ุงููุณุง ูุงู
ู ุจุงูุช ูุฏูุงู
ูู
ุบุฑูุจุฉุ ุชุฎูููุ ู ุฑุงุฃุณูุง ูุงุจุณ ู ูุงููุง ู
ุนุฑููู ูุฏูุงู
ูุง.
| 1
| 1
| 1
| 0
| 1
| 1
|
[
"anger",
"disgust",
"fear",
"sadness",
"surprise"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "fear"]
|
arq_test_track_a_00017
|
ู
ูุตูุฑูุฉ: ูุฏุฑุช ุจุฒุงู ุงูููู
ุ ุดููุฉ ุจุฒุงู. ุงุณู
ุญููู (ูุงูุชูุง ุจูุนูู). ุจุตุญ ู
ุงุฑุงููุด ุญุงุจุฉ ุชุดุฏููู. ุฑุงูู ุดูุฑุชูู
ู ุณููู
ุช ุนูููู
. ูุงุฒู
ูุฑูุญ.
| 0
| 0
| 0
| 1
| 1
| 0
|
[
"joy",
"sadness"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "joy"]
|
arq_test_track_a_00018
|
ู
ุฑูู
ุชุชุจุงูู: ู
ุงููุด ุญุงุจุฉ ูุธู ุฑุงูุญุฉ ุฌุงูุฉ ุนูู ุงูู
ุง ูู ูุฑู
ูู.
| 0
| 1
| 0
| 0
| 1
| 0
|
[
"disgust",
"sadness"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness"]
|
arq_test_track_a_00019
|
ุงูุฑุงูู: ุฒูุฏ ุงููุณุง ุชุน ุงูุฏุงุฑ ูุงููุง ุฏุงูู
ุง ู
ูุงุฏุฑููู ู ุนู
ุฑูู
ู
ุง ุญุจููู ุงูุดุฑ.
| 0
| 0
| 0
| 0
| 1
| 0
|
[
"sadness"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "fear"]
|
arq_test_track_a_00020
|
ุงูุฑุงูู: ู
ููู ูู ุจูุชูุง ูุงูุช ุชูุชุฑู ุจูุนูู. ูุงุฐู ูุงู
ุงุช ู
ูู ุฑุงูู ุชุฎูุท ููุด...
| 0
| 0
| 1
| 0
| 1
| 0
|
[
"fear",
"sadness"
] |
arq
|
meta-llama-3.1-8b-instruct
|
prompt1
|
Emotions: ["sadness", "disgust"]
|
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