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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<converter: string, converter_version: string, created_at: timestamp[s], native: bool, key_source: string, question_origin: string, quality_flags: list<item: null>, domain_rule: string, capability: string, capability_label: string, capability_subtype: string, capability_rule: string, native_id: string, native_field: string, native_option_count: int64, native_option_count_before_dedupe: int64, native_answer_index: int64, native_answer_text: string, native_label: int64, native_split: string, native_source_file: string, state_length: int64, state_equals_prompt: bool, sample_scheme: string, answer_index: int64, native_option_order: list<item: int64>, shuffle_seed: int64, converter_chain: string, native_task: string, native_idx: int64, sample_config_available: int64>
to
{'converter': Value('string'), 'converter_version': Value('string'), 'created_at': Value('timestamp[s]'), 'native': Value('bool'), 'key_source': Value('string'), 'question_origin': Value('string'), 'quality_flags': List(Value('null')), 'domain_rule': Value('string'), 'capability': Value('string'), 'capability_label': Value('string'), 'capability_subtype': Value('string'), 'capability_rule': Value('string'), 'native_task': Value('string'), 'native_idx': Value('int64'), 'native_option_count': Value('int64'), 'native_option_count_before_dedupe': Value('int64'), 'native_answer_index': Value('int64'), 'native_answer_text': Value('string'), 'native_split': Value('string'), 'native_source_file': Value('string'), 'state_length': Value('int64'), 'state_equals_prompt': Value('bool'), 'sample_scheme': Value('string'), 'sample_config_available': Value('int64'), 'answer_index': Value('int64'), 'native_option_order': List(Value('int64')), 'shuffle_seed': Value('int64'), 'converter_chain': Value('string')}
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2315, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2161, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<converter: string, converter_version: string, created_at: timestamp[s], native: bool, key_source: string, question_origin: string, quality_flags: list<item: null>, domain_rule: string, capability: string, capability_label: string, capability_subtype: string, capability_rule: string, native_id: string, native_field: string, native_option_count: int64, native_option_count_before_dedupe: int64, native_answer_index: int64, native_answer_text: string, native_label: int64, native_split: string, native_source_file: string, state_length: int64, state_equals_prompt: bool, sample_scheme: string, answer_index: int64, native_option_order: list<item: int64>, shuffle_seed: int64, converter_chain: string, native_task: string, native_idx: int64, sample_config_available: int64>
to
{'converter': Value('string'), 'converter_version': Value('string'), 'created_at': Value('timestamp[s]'), 'native': Value('bool'), 'key_source': Value('string'), 'question_origin': Value('string'), 'quality_flags': List(Value('null')), 'domain_rule': Value('string'), 'capability': Value('string'), 'capability_label': Value('string'), 'capability_subtype': Value('string'), 'capability_rule': Value('string'), 'native_task': Value('string'), 'native_idx': Value('int64'), 'native_option_count': Value('int64'), 'native_option_count_before_dedupe': Value('int64'), 'native_answer_index': Value('int64'), 'native_answer_text': Value('string'), 'native_split': Value('string'), 'native_source_file': Value('string'), 'state_length': Value('int64'), 'state_equals_prompt': Value('bool'), 'sample_scheme': Value('string'), 'sample_config_available': Value('int64'), 'answer_index': Value('int64'), 'native_option_order': List(Value('int64')), 'shuffle_seed': Value('int64'), 'converter_chain': Value('string')}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed 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 | domain string | lang string | state string | questions list | source dict | meta dict | targets unknown |
|---|---|---|---|---|---|---|---|
db-bigbench-00020461 | knowledge_reasoning | en | Q: "Here comes a perfectly valid argument: First of all, no ingredient of TOTAL FINISH TF204 that is an ingredient of Mint Nail Lacquer is an ingredient of Nail Color. Next, nothing is neither an ingredient of Highlighting Trio nor an ingredient of Nail Color. In consequence, whatever is none of this: an ingredient of ... | [
{
"key": "formal_fallacies_syllogisms_negation",
"kind": "choice",
"origin": "source",
"source_key": "formal_fallacies_syllogisms_negation",
"prompt": "Q: \"Here comes a perfectly valid argument: First of all, no ingredient of TOTAL FINISH TF204 that is an ingredient of Mint Nail Lacquer is an i... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "formal_fallacies_syllogisms_negation",
"split": "train",
"row": 2213,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:formal_fallacies_syllogisms_negation",
"capability": "math_logic",... | {
"formal_fallacies_syllogisms_negation": {
"answer": "invalid"
}
} |
db-bigbench-000423fb | knowledge_reasoning | en | If you follow these instructions, do you return to the starting point?
Q: Take 1 step. Take 8 steps. Turn around. Take 9 steps. Turn left.
A: | [
{
"key": "navigate",
"kind": "choice",
"origin": "source",
"source_key": "navigate",
"prompt": "If you follow these instructions, do you return to the starting point?\nQ: Take 1 step. Take 8 steps. Turn around. Take 9 steps. Turn left.\nA:",
"options": [
{
"key": "true",
... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "navigate",
"split": "train",
"row": 630,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:navigate",
"capability": "math_logic",
"capability_label": "数学与形... | {
"navigate": {
"answer": "true"
}
} |
db-bigbench-00051c5b | knowledge_reasoning | en | Q: "Is Siri a stepsister of Mary? Is Susan related to Kate? In large families, it is sometimes difficult to keep track of all one's relatives. The following argument seeks to clarify some such relations: To begin with, everyone who is a half-sister of Diane is a schoolmate of Marcia, too. Moreover, not being a great-gr... | [
{
"key": "formal_fallacies_syllogisms_negation",
"kind": "choice",
"origin": "source",
"source_key": "formal_fallacies_syllogisms_negation",
"prompt": "Q: \"Is Siri a stepsister of Mary? Is Susan related to Kate? In large families, it is sometimes difficult to keep track of all one's relatives. ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "formal_fallacies_syllogisms_negation",
"split": "train",
"row": 10909,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:formal_fallacies_syllogisms_negation",
"capability": "math_logic",... | {
"formal_fallacies_syllogisms_negation": {
"answer": "valid"
}
} |
db-bigbench-0006345c | knowledge_reasoning | en | Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia quote does not provide the necessary information to resolve the question.
Passage: Jo Frost: Jo Frost : Extreme Parental Guidance aired in the UK for Chan... | [
{
"key": "vitaminc_fact_verification",
"kind": "choice",
"origin": "source",
"source_key": "vitaminc_fact_verification",
"prompt": "Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "vitaminc_fact_verification",
"split": "train",
"row": 32584,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:vitaminc_fact_verification",
"capability": "reading_evidence",
"... | {
"vitaminc_fact_verification": {
"answer": "true"
}
} |
db-bigbench-000a79dc | knowledge_reasoning | en | Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia quote does not provide the necessary information to resolve the question.
Passage: China: Since the introduction of economic reforms in 1978 , China has b... | [
{
"key": "vitaminc_fact_verification",
"kind": "choice",
"origin": "source",
"source_key": "vitaminc_fact_verification",
"prompt": "Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "vitaminc_fact_verification",
"split": "train",
"row": 13162,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:vitaminc_fact_verification",
"capability": "reading_evidence",
"... | {
"vitaminc_fact_verification": {
"answer": "true"
}
} |
db-bigbench-000bb21b | knowledge_reasoning | en | Identify the relation between the following premises and hypotheses, choosing from the options 'entailment' or 'non-entailment'.
Premise: Charles recognizes that David believes that two women are getting their pictures taken with a man in his underwear. Hypothesis: David believes that Charles recognizes that two women... | [
{
"key": "epistemic_reasoning",
"kind": "choice",
"origin": "source",
"source_key": "epistemic_reasoning",
"prompt": "Identify the relation between the following premises and hypotheses, choosing from the options 'entailment' or 'non-entailment'.\n\nPremise: Charles recognizes that David believe... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "epistemic_reasoning",
"split": "train",
"row": 529,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:epistemic_reasoning",
"capability": "math_logic",
"capability_la... | {
"epistemic_reasoning": {
"answer": "non_entailment"
}
} |
db-bigbench-000d3e7a | knowledge_reasoning | en | If you follow these instructions, do you return to the starting point?
Q: Always face forward. Take 4 steps right. Take 8 steps left. Take 6 steps backward. Take 6 steps left. Take 3 steps right. Take 2 steps backward. Take 7 steps right. Take 8 steps forward.
A: | [
{
"key": "navigate",
"kind": "choice",
"origin": "source",
"source_key": "navigate",
"prompt": "If you follow these instructions, do you return to the starting point?\nQ: Always face forward. Take 4 steps right. Take 8 steps left. Take 6 steps backward. Take 6 steps left. Take 3 steps right. Tak... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "navigate",
"split": "train",
"row": 438,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:navigate",
"capability": "math_logic",
"capability_label": "数学与形... | {
"navigate": {
"answer": "true"
}
} |
db-bigbench-000d894b | knowledge_reasoning | en | Q: Which statement is sarcastic? (a) A wave of hypothermia and drownings will be a great way to start the year. (b) A wave of hypothermia and drownings will be a terrible way to start the year.
A: | [
{
"key": "snarks",
"kind": "choice",
"origin": "source",
"source_key": "snarks",
"prompt": "Q: Which statement is sarcastic? (a) A wave of hypothermia and drownings will be a great way to start the year. (b) A wave of hypothermia and drownings will be a terrible way to start the year.\nA:",
... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "snarks",
"split": "train",
"row": 67,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:snarks",
"capability": "reading_evidence",
"capability_label": "... | {
"snarks": {
"answer": "a"
}
} |
db-bigbench-00120acd | knowledge_reasoning | en | Define the unit conversion: 8 swerts is 64 blerbs. 6 swerts expressed in units of blerbs is | [
{
"key": "unit_conversion",
"kind": "choice",
"origin": "source",
"source_key": "unit_conversion",
"prompt": "Define the unit conversion: 8 swerts is 64 blerbs. 6 swerts expressed in units of blerbs is",
"options": [
{
"key": "36_blerbs",
"label": "36 blerbs."
},
... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "unit_conversion",
"split": "train",
"row": 6218,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:unit_conversion",
"capability": "math_logic",
"capability_label"... | {
"unit_conversion": {
"answer": "48_blerbs"
}
} |
db-bigbench-001703cf | knowledge_reasoning | en | The following paragraphs each describe a set of three objects arranged in a fixed order. The statements are logically consistent within each paragraph.
On a shelf, there are three books: a brown book, a yellow book, and an orange book. The yellow book is the leftmost. The orange book is to the right of the brown book. | [
{
"key": "logical_deduction",
"kind": "choice",
"origin": "source",
"source_key": "logical_deduction",
"prompt": "The following paragraphs each describe a set of three objects arranged in a fixed order. The statements are logically consistent within each paragraph.\n\nOn a shelf, there are three... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "logical_deduction",
"split": "train",
"row": 1099,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:logical_deduction",
"capability": "math_logic",
"capability_labe... | {
"logical_deduction": {
"answer": "the_orange_book_is_the_r"
}
} |
db-bigbench-001bdf67 | knowledge_reasoning | en | Find the number of intersection points between the shapes and lines specified by the coordinates given.
There is a line segment from (-1.8, 0.6) to (3.5, 1.1). There is a polygon with coordinates [(2.8, 2.2), (-2.8, -1.1), (5.8, -3.4)]. There is a polygon with coordinates [(1.2, -3.8), (4.9, 3.0), (-1.3, 1.6)]. There ... | [
{
"key": "intersect_geometry",
"kind": "choice",
"origin": "source",
"source_key": "intersect_geometry",
"prompt": "Find the number of intersection points between the shapes and lines specified by the coordinates given.\n\nThere is a line segment from (-1.8, 0.6) to (3.5, 1.1). There is a polygo... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "intersect_geometry",
"split": "train",
"row": 11309,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:intersect_geometry",
"capability": "math_logic",
"capability_lab... | {
"intersect_geometry": {
"answer": "15"
}
} |
db-bigbench-00241c8c | knowledge_reasoning | en | Identify the relation between the following premises and hypotheses, choosing from the options 'entailment' or 'non-entailment'.
Premise: Charles understands that a girl dressed in a Halloween costume is carrying bag of candy and a scythe with a jack-o-lantern on someones porch in the background. Hypothesis: Charles u... | [
{
"key": "epistemic_reasoning",
"kind": "choice",
"origin": "source",
"source_key": "epistemic_reasoning",
"prompt": "Identify the relation between the following premises and hypotheses, choosing from the options 'entailment' or 'non-entailment'.\n\nPremise: Charles understands that a girl dress... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "epistemic_reasoning",
"split": "train",
"row": 1580,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:epistemic_reasoning",
"capability": "math_logic",
"capability_la... | {
"epistemic_reasoning": {
"answer": "entailment"
}
} |
db-bigbench-0025b62d | knowledge_reasoning | en | Please answer the following questions about which words certain pronouns refer to.
Patting her back, the woman smiled at the girl. The 'her' refers to the girl because if the woman smiled at the girl, that is extra evidence for another friendly gesture such as patting her back.
The above reasoning is | [
{
"key": "winowhy",
"kind": "choice",
"origin": "source",
"source_key": "winowhy",
"prompt": "Please answer the following questions about which words certain pronouns refer to.\n\nPatting her back, the woman smiled at the girl. The 'her' refers to the girl because if the woman smiled at the girl... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "winowhy",
"split": "train",
"row": 1063,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:winowhy",
"capability": "reading_evidence",
"capability_label": ... | {
"winowhy": {
"answer": "correct"
}
} |
db-bigbench-00261752 | knowledge_reasoning | en | In the following chess position, find a checkmate-in-one move.
1. d4 d5 2. c4 e6 3. Nf3 Nf6 4. Bg5 Bb4+ 5. Nbd2 h6 6. Bxf6 Qxf6 7. e3 O-O 8. Rc1 c6 9. Bd3 Nd7 10. O-O e5 11. cxd5 cxd5 12. dxe5 Nxe5 13. Nxe5 Qxe5 14. Qc2 Be6 15. Nf3 Qf6 16. Nd4 Rfc8 17. Qb3 Bc5 18. Nxe6 fxe6 19. e4 Bxf2+ 20. Kh1 Rxc1 21. Rxc1 Be3 22. Q... | [
{
"key": "checkmate_in_one",
"kind": "choice",
"origin": "source",
"source_key": "checkmate_in_one",
"prompt": "In the following chess position, find a checkmate-in-one move.\n\n1. d4 d5 2. c4 e6 3. Nf3 Nf6 4. Bg5 Bb4+ 5. Nbd2 h6 6. Bxf6 Qxf6 7. e3 O-O 8. Rc1 c6 9. Bd3 Nd7 10. O-O e5 11. cxd5 cx... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "checkmate_in_one",
"split": "train",
"row": 507,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:checkmate_in_one",
"capability": "math_logic",
"capability_label... | {
"checkmate_in_one": {
"answer": "qg8"
}
} |
db-bigbench-00270bef | knowledge_reasoning | en | Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a green ball, Bob has a brown ball, Claire has a orange ball, Dave has a red ball, Eve has a blue ball, Fred has a black ball, and Gertrude has a yellow ball.
As the game progresses,... | [
{
"key": "tracking_shuffled_objects",
"kind": "choice",
"origin": "source",
"source_key": "tracking_shuffled_objects",
"prompt": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are playing a game. At the start of the game, they are each holding a ball: Alice has a green ball, Bob has a brown ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "tracking_shuffled_objects",
"split": "train",
"row": 1230,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:tracking_shuffled_objects",
"capability": "math_logic",
"capabil... | {
"tracking_shuffled_objects": {
"answer": "black_ball"
}
} |
db-bigbench-002d7c39 | knowledge_reasoning | en | Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia quote does not provide the necessary information to resolve the question.
Passage: Pakistan: Pakistan -LRB- -LSB- pɑːkᵻˈstɑːn -RSB- -LSB- -RRB- , official... | [
{
"key": "vitaminc_fact_verification",
"kind": "choice",
"origin": "source",
"source_key": "vitaminc_fact_verification",
"prompt": "Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "vitaminc_fact_verification",
"split": "train",
"row": 41834,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:vitaminc_fact_verification",
"capability": "reading_evidence",
"... | {
"vitaminc_fact_verification": {
"answer": "false"
}
} |
db-bigbench-002ddf74 | knowledge_reasoning | en | Determine whether the given sequence of parentheses is properly matched.
Sequence: ( ) { { } } [ { } ] { [ ] } [ ( ) { } ]
Valid/Invalid? | [
{
"key": "cs_algorithms",
"kind": "choice",
"origin": "source",
"source_key": "cs_algorithms",
"prompt": "Determine whether the given sequence of parentheses is properly matched.\n\nSequence: ( ) { { } } [ { } ] { [ ] } [ ( ) { } ]\nValid/Invalid?",
"options": [
{
"key": "valid... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "cs_algorithms",
"split": "train",
"row": 292,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:cs_algorithms",
"capability": "math_logic",
"capability_label": ... | {
"cs_algorithms": {
"answer": "valid"
}
} |
db-bigbench-002e42ff | knowledge_reasoning | en | Q: What is 17389 minus 88850?
choice: -71461
choice: 297504
choice: banana
choice: 328903
choice: 9854
choice: 59946845
choice: house
A: | [
{
"key": "arithmetic",
"kind": "choice",
"origin": "source",
"source_key": "arithmetic",
"prompt": "Q: What is 17389 minus 88850?\n choice: -71461\n choice: 297504\n choice: banana\n choice: 328903\n choice: 9854\n choice: 59946845\n choice: house\nA:",
"options": [
{
"k... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "arithmetic",
"split": "train",
"row": 11581,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:arithmetic",
"capability": "math_logic",
"capability_label": "数学... | {
"arithmetic": {
"answer": "71461"
}
} |
db-bigbench-00388c14 | knowledge_reasoning | en | Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia quote does not provide the necessary information to resolve the question.
Passage: Jonah Hill: Jonah Hill Feldstein , better known as Jonah Hill , is a fu... | [
{
"key": "vitaminc_fact_verification",
"kind": "choice",
"origin": "source",
"source_key": "vitaminc_fact_verification",
"prompt": "Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "vitaminc_fact_verification",
"split": "train",
"row": 28141,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:vitaminc_fact_verification",
"capability": "reading_evidence",
"... | {
"vitaminc_fact_verification": {
"answer": "false"
}
} |
db-bigbench-00415cf4 | knowledge_reasoning | en | Given a short answer along with its context, select the most appropriate question which has the given short answer as its answer.
Here is the short answer followed by the context.
Short Answer: Stanford University Context: The Panthers used the San Jose State practice facility and stayed at the San Jose Marriott. The ... | [
{
"key": "question_selection",
"kind": "choice",
"origin": "source",
"source_key": "question_selection",
"prompt": "Given a short answer along with its context, select the most appropriate question which has the given short answer as its answer.\n\nHere is the short answer followed by the contex... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "question_selection",
"split": "train",
"row": 1219,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:question_selection",
"capability": "reading_evidence",
"capabili... | {
"question_selection": {
"answer": "what_practice_facility_d_2"
}
} |
db-bigbench-00455735 | knowledge_reasoning | en | Find the number of intersection points between the shapes and lines specified by the coordinates given.
There is a circle centered at (0.2, -1.0) with radius 2.0. There is a circle centered at (0.4, 1.3) with radius 1.0. There is a polygon with coordinates [(-3.9, 0.9), (-0.4, -4.3), (4.3, -1.4), (0.2, 1.8)]. There is... | [
{
"key": "intersect_geometry",
"kind": "choice",
"origin": "source",
"source_key": "intersect_geometry",
"prompt": "Find the number of intersection points between the shapes and lines specified by the coordinates given.\n\nThere is a circle centered at (0.2, -1.0) with radius 2.0. There is a cir... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "intersect_geometry",
"split": "train",
"row": 30638,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:intersect_geometry",
"capability": "math_logic",
"capability_lab... | {
"intersect_geometry": {
"answer": "18"
}
} |
db-bigbench-00502404 | knowledge_reasoning | en | In the SIT-name-agnostic world a structure is a sequence of six emojis.
Hereafter are reported the emojis used along with their descriptions.
🔴 is a X D;
🔵 is a H D;
🟡 is a U D;
🔺 is a X Y G;
🔻 is a X Y A;
🟥 is a X B;
🟦 is a H B;
🟨 is a U B;
_ is a T.
Choose the sentence consistent with the structure ... | [
{
"key": "symbol_interpretation",
"kind": "choice",
"origin": "source",
"source_key": "symbol_interpretation",
"prompt": "In the SIT-name-agnostic world a structure is a sequence of six emojis.\nHereafter are reported the emojis used along with their descriptions.\n 🔴 is a X D;\n 🔵 is a H D;\n... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "symbol_interpretation",
"split": "train",
"row": 331,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:symbol_interpretation",
"capability": "math_logic",
"capability_... | {
"symbol_interpretation": {
"answer": "there_are_zero_ys_touchi"
}
} |
db-bigbench-00543895 | knowledge_reasoning | en | In the following chess position, find a checkmate-in-one move.
1. e4 c5 2. Bc4 e6 3. Qf3 a6 4. d3 Nc6 5. Bf4 Qf6 6. c3 b5 7. Bb3 a5 8. Nd2 b4 9. a4 bxc3 10. e5 cxd2+ 11. Kxd2 Qd8 12. Ne2 Rb8 13. Ra3 Bb7 14. Rc1 Nd4 15. Nxd4 Bxf3 16. gxf3 cxd4 17. Rc4 Bxa3 18. bxa3 Rxb3 19. Rxd4 Ne7 20. Rd6 Nd5 21. Be3 Rb2+ 22. Kc1 Qb8... | [
{
"key": "checkmate_in_one",
"kind": "choice",
"origin": "source",
"source_key": "checkmate_in_one",
"prompt": "In the following chess position, find a checkmate-in-one move.\n\n1. e4 c5 2. Bc4 e6 3. Qf3 a6 4. d3 Nc6 5. Bf4 Qf6 6. c3 b5 7. Bb3 a5 8. Nd2 b4 9. a4 bxc3 10. e5 cxd2+ 11. Kxd2 Qd8 12... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "checkmate_in_one",
"split": "train",
"row": 1559,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:checkmate_in_one",
"capability": "math_logic",
"capability_label... | {
"checkmate_in_one": {
"answer": "qb2"
}
} |
db-bigbench-005817c1 | knowledge_reasoning | en | Given a short answer along with its context, select the most appropriate question which has the given short answer as its answer.
Here is the short answer followed by the context.
Short Answer: 487 Context: The Panthers beat the Seattle Seahawks in the divisional round, running up a 31–0 halftime lead and then holding... | [
{
"key": "question_selection",
"kind": "choice",
"origin": "source",
"source_key": "question_selection",
"prompt": "Given a short answer along with its context, select the most appropriate question which has the given short answer as its answer.\n\nHere is the short answer followed by the contex... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "question_selection",
"split": "train",
"row": 113,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:question_selection",
"capability": "reading_evidence",
"capabili... | {
"question_selection": {
"answer": "in_the_nfc_championship__2"
}
} |
db-bigbench-005979f3 | knowledge_reasoning | en | The following paragraphs each describe a set of seven objects arranged in a fixed order. The statements are logically consistent within each paragraph.
On a shelf, there are seven books: a black book, a yellow book, a white book, a gray book, a purple book, an orange book, and a green book. The green book is to the le... | [
{
"key": "logical_deduction",
"kind": "choice",
"origin": "source",
"source_key": "logical_deduction",
"prompt": "The following paragraphs each describe a set of seven objects arranged in a fixed order. The statements are logically consistent within each paragraph.\n\nOn a shelf, there are seven... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "logical_deduction",
"split": "train",
"row": 825,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:logical_deduction",
"capability": "math_logic",
"capability_labe... | {
"logical_deduction": {
"answer": "the_orange_book_is_the_s"
}
} |
db-bigbench-005b4cea | knowledge_reasoning | en | In the following chess position, find a checkmate-in-one move.
1. d4 d5 2. c4 Nf6 3. Nf3 e6 4. e3 b6 5. Nc3 Bb7 6. Bd3 Bd6 7. O-O Nbd7 8. Re1 Ne4 9. Nd2 f5 10. f3 Qh4 11. g3 Nxg3 12. hxg3 Bxg3 13. Kf1 Qh1+ 14. Ke2 | [
{
"key": "checkmate_in_one",
"kind": "choice",
"origin": "source",
"source_key": "checkmate_in_one",
"prompt": "In the following chess position, find a checkmate-in-one move.\n\n1. d4 d5 2. c4 Nf6 3. Nf3 e6 4. e3 b6 5. Nc3 Bb7 6. Bd3 Bd6 7. O-O Nbd7 8. Re1 Ne4 9. Nd2 f5 10. f3 Qh4 11. g3 Nxg3 12... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "checkmate_in_one",
"split": "train",
"row": 1514,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:checkmate_in_one",
"capability": "math_logic",
"capability_label... | {
"checkmate_in_one": {
"answer": "qg2"
}
} |
db-bigbench-005bd3ac | knowledge_reasoning | en | Given two strings, determine the length of the longest common subsequence.
Strings: RIKYWRELGLPQPTCDQLKIORFTVBNZD FROBZADTRMYFQTLOYRDEXMPQIGYQPI
Length of longest common subsequence: | [
{
"key": "cs_algorithms",
"kind": "choice",
"origin": "source",
"source_key": "cs_algorithms",
"prompt": "Given two strings, determine the length of the longest common subsequence.\n\nStrings: RIKYWRELGLPQPTCDQLKIORFTVBNZD FROBZADTRMYFQTLOYRDEXMPQIGYQPI\nLength of longest common subsequence:",
... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "cs_algorithms",
"split": "train",
"row": 182,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:cs_algorithms",
"capability": "math_logic",
"capability_label": ... | {
"cs_algorithms": {
"answer": "8"
}
} |
db-bigbench-005ca744 | knowledge_reasoning | en | Find the number of intersection points between the shapes and lines specified by the coordinates given.
There is a circle centered at (1.8, -1.2) with radius 3.0. There is a polygon with coordinates [(-2.8, 4.0), (-3.8, -2.4), (0.7, -3.7), (1.3, 0.3)]. How many intersection points are there?
A: | [
{
"key": "intersect_geometry",
"kind": "choice",
"origin": "source",
"source_key": "intersect_geometry",
"prompt": "Find the number of intersection points between the shapes and lines specified by the coordinates given.\n\nThere is a circle centered at (1.8, -1.2) with radius 3.0. There is a pol... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "intersect_geometry",
"split": "train",
"row": 43386,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:intersect_geometry",
"capability": "math_logic",
"capability_lab... | {
"intersect_geometry": {
"answer": "2"
}
} |
db-bigbench-0064068f | knowledge_reasoning | en | Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia quote does not provide the necessary information to resolve the question.
Passage: Son Heung-min: The nature of the goal saw Mourinho dub him “ Sonaldo ” ... | [
{
"key": "vitaminc_fact_verification",
"kind": "choice",
"origin": "source",
"source_key": "vitaminc_fact_verification",
"prompt": "Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "vitaminc_fact_verification",
"split": "train",
"row": 38704,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:vitaminc_fact_verification",
"capability": "reading_evidence",
"... | {
"vitaminc_fact_verification": {
"answer": "false"
}
} |
db-bigbench-006be3ce | knowledge_reasoning | en | Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia quote does not provide the necessary information to resolve the question.
Passage: Hypokalemic periodic paralysis: Hypokalemic periodic paralysis*Practica... | [
{
"key": "vitaminc_fact_verification",
"kind": "choice",
"origin": "source",
"source_key": "vitaminc_fact_verification",
"prompt": "Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "vitaminc_fact_verification",
"split": "train",
"row": 4778,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:vitaminc_fact_verification",
"capability": "reading_evidence",
"... | {
"vitaminc_fact_verification": {
"answer": "neither"
}
} |
db-bigbench-006e31a3 | knowledge_reasoning | en | This is a natural language inference task. There are two sentences in English. The answer is "entailment" if the first sentence entails the second, "contradiction" if the second sentence contradicts the first, and "neutral" if neither is of those two cases holds.
Sentence 1: He's terminated this year. That means the ... | [
{
"key": "presuppositions_as_nli",
"kind": "choice",
"origin": "source",
"source_key": "presuppositions_as_nli",
"prompt": "This is a natural language inference task. There are two sentences in English. The answer is \"entailment\" if the first sentence entails the second, \"contradiction\" if t... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "presuppositions_as_nli",
"split": "train",
"row": 377,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:presuppositions_as_nli",
"capability": "reading_evidence",
"capa... | {
"presuppositions_as_nli": {
"answer": "neutral"
}
} |
db-bigbench-006fef0a | knowledge_reasoning | en | Q: What is 62 plus 23?
choice: 13
choice: 21
choice: banana
choice: 2524
choice: 85
choice: 6
choice: house
A: | [
{
"key": "arithmetic",
"kind": "choice",
"origin": "source",
"source_key": "arithmetic",
"prompt": "Q: What is 62 plus 23?\n choice: 13\n choice: 21\n choice: banana\n choice: 2524\n choice: 85\n choice: 6\n choice: house\nA:",
"options": [
{
"key": "21",
"label"... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "arithmetic",
"split": "train",
"row": 506,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:arithmetic",
"capability": "math_logic",
"capability_label": "数学... | {
"arithmetic": {
"answer": "85"
}
} |
db-bigbench-007941e4 | knowledge_reasoning | en | Determine whether the given sequence of parentheses is properly matched.
Sequence: ) ) } ) { ) } } ) } ) ( } } } ) } } } }
Valid/Invalid? | [
{
"key": "cs_algorithms",
"kind": "choice",
"origin": "source",
"source_key": "cs_algorithms",
"prompt": "Determine whether the given sequence of parentheses is properly matched.\n\nSequence: ) ) } ) { ) } } ) } ) ( } } } ) } } } }\nValid/Invalid?",
"options": [
{
"key": "valid... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "cs_algorithms",
"split": "train",
"row": 396,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:cs_algorithms",
"capability": "math_logic",
"capability_label": ... | {
"cs_algorithms": {
"answer": "invalid"
}
} |
db-bigbench-007a0a90 | knowledge_reasoning | en | What is the answer to the following math word problem, with the given hint?:if a mixture is 3 ⁄ 5 alcohol by volume and 4 ⁄ 5 water by volume , what is the ratio of the volume of alcohol to the volume of water in this mixture ?
divide 3 by 5, divide 4 by 5, and then divide both.
choice:3
choice:3 / 5
choice:3 / 2
c... | [
{
"key": "elementary_math_qa",
"kind": "choice",
"origin": "source",
"source_key": "elementary_math_qa",
"prompt": "What is the answer to the following math word problem, with the given hint?:if a mixture is 3 ⁄ 5 alcohol by volume and 4 ⁄ 5 water by volume , what is the ratio of the volume of a... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "elementary_math_qa",
"split": "train",
"row": 18533,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:elementary_math_qa",
"capability": "math_logic",
"capability_lab... | {
"elementary_math_qa": {
"answer": "3_4"
}
} |
db-bigbench-007c1654 | knowledge_reasoning | en | Identify the part of speech (verb, adjective, noun, or preposition) of the specified word in the following headlines.
In the following sentence, what part of speech is pressure? Sentence: Fourth Ave. change orders pressure November completion
A: | [
{
"key": "crash_blossom",
"kind": "choice",
"origin": "source",
"source_key": "crash_blossom",
"prompt": "Identify the part of speech (verb, adjective, noun, or preposition) of the specified word in the following headlines.\n\nIn the following sentence, what part of speech is pressure? Sentence:... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "crash_blossom",
"split": "train",
"row": 12,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:crash_blossom",
"capability": "reading_evidence",
"capability_la... | {
"crash_blossom": {
"answer": "verb"
}
} |
db-bigbench-007fa8e2 | knowledge_reasoning | en | Q: On a hot summer day, the tiger fell asleep in his cave. As he was lying on the ground, a mouse ran across his back and face, waking him from his slumber. Enraged, the tiger began searching for the mouse in every corner of his cave, but found nothing. Observing the spectacle, a raccoon remarked: "How odd to see a tig... | [
{
"key": "understanding_fables",
"kind": "choice",
"origin": "source",
"source_key": "understanding_fables",
"prompt": "Q: On a hot summer day, the tiger fell asleep in his cave. As he was lying on the ground, a mouse ran across his back and face, waking him from his slumber. Enraged, the tiger ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "understanding_fables",
"split": "train",
"row": 8,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:understanding_fables",
"capability": "reading_evidence",
"capabi... | {
"understanding_fables": {
"answer": "little_liberties_are_gre"
}
} |
db-bigbench-008c479f | knowledge_reasoning | en | Find the number of intersection points between the shapes and lines specified by the coordinates given.
There is a line segment from (-3.9, -3.7) to (-2.9, 3.6). There is a circle centered at (-1.1, -1.5) with radius 3.0. There is a polygon with coordinates [(-0.6, -1.6), (2.8, 3.3), (-4.6, 3.6)]. How many intersectio... | [
{
"key": "intersect_geometry",
"kind": "choice",
"origin": "source",
"source_key": "intersect_geometry",
"prompt": "Find the number of intersection points between the shapes and lines specified by the coordinates given.\n\nThere is a line segment from (-3.9, -3.7) to (-2.9, 3.6). There is a circ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "intersect_geometry",
"split": "train",
"row": 41150,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:intersect_geometry",
"capability": "math_logic",
"capability_lab... | {
"intersect_geometry": {
"answer": "6"
}
} |
db-bigbench-00913d5f | knowledge_reasoning | en | Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia quote does not provide the necessary information to resolve the question.
Passage: Princess Alexandra, The Honourable Lady Ogilvy: As of 18 June 2018 , sh... | [
{
"key": "vitaminc_fact_verification",
"kind": "choice",
"origin": "source",
"source_key": "vitaminc_fact_verification",
"prompt": "Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "vitaminc_fact_verification",
"split": "train",
"row": 43148,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:vitaminc_fact_verification",
"capability": "reading_evidence",
"... | {
"vitaminc_fact_verification": {
"answer": "true"
}
} |
db-bigbench-009a6314 | knowledge_reasoning | en | In the following chess position, find a checkmate-in-one move.
1. e4 c5 2. Nf3 d6 3. d4 cxd4 4. Nxd4 Nc6 5. Nxc6 bxc6 6. Nc3 Qa5 7. Bd3 Ba6 8. O-O Nf6 9. Bg5 Qxg5 10. Bxa6 e5 11. Bb7 Rb8 12. Bxc6+ Nd7 13. Bxd7+ Kxd7 14. Nd5 Rxb2 15. Rb1 Rxb1 16. Qxb1 Be7 17. Qb5+ Ke6 18. Nxe7 Kxe7 19. Qb7+ Kf6 20. Qxa7 Rc8 21. Qa4 Qd2... | [
{
"key": "checkmate_in_one",
"kind": "choice",
"origin": "source",
"source_key": "checkmate_in_one",
"prompt": "In the following chess position, find a checkmate-in-one move.\n\n1. e4 c5 2. Nf3 d6 3. d4 cxd4 4. Nxd4 Nc6 5. Nxc6 bxc6 6. Nc3 Qa5 7. Bd3 Ba6 8. O-O Nf6 9. Bg5 Qxg5 10. Bxa6 e5 11. Bb... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "checkmate_in_one",
"split": "train",
"row": 2677,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:checkmate_in_one",
"capability": "math_logic",
"capability_label... | {
"checkmate_in_one": {
"answer": "qh5"
}
} |
db-bigbench-009ce8b6 | knowledge_reasoning | en | This is a natural language inference task. There are two sentences in English. The answer is "entailment" if the first sentence entails the second, "contradiction" if the second sentence contradicts the first, and "neutral" if neither is of those two cases holds.
Sentence 1: Streaks: Victor Santos has failed to mak... | [
{
"key": "presuppositions_as_nli",
"kind": "choice",
"origin": "source",
"source_key": "presuppositions_as_nli",
"prompt": "This is a natural language inference task. There are two sentences in English. The answer is \"entailment\" if the first sentence entails the second, \"contradiction\" if t... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "presuppositions_as_nli",
"split": "train",
"row": 559,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:presuppositions_as_nli",
"capability": "reading_evidence",
"capa... | {
"presuppositions_as_nli": {
"answer": "neutral"
}
} |
db-bigbench-009e19ff | knowledge_reasoning | en | Determine whether the given sequence of parentheses is properly matched.
Sequence: ( ) { ( ) } [ [ ( ) ] [ ] ] { ( ) } [ ]
Valid/Invalid? | [
{
"key": "cs_algorithms",
"kind": "choice",
"origin": "source",
"source_key": "cs_algorithms",
"prompt": "Determine whether the given sequence of parentheses is properly matched.\n\nSequence: ( ) { ( ) } [ [ ( ) ] [ ] ] { ( ) } [ ]\nValid/Invalid?",
"options": [
{
"key": "inval... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "cs_algorithms",
"split": "train",
"row": 825,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:cs_algorithms",
"capability": "math_logic",
"capability_label": ... | {
"cs_algorithms": {
"answer": "valid"
}
} |
db-bigbench-00a08097 | knowledge_reasoning | en | The following paragraphs each describe a set of seven objects arranged in a fixed order. The statements are logically consistent within each paragraph.
A fruit stand sells seven fruits: mangoes, cantaloupes, apples, plums, loquats, watermelons, and peaches. The plums are more expensive than the mangoes. The watermelon... | [
{
"key": "logical_deduction",
"kind": "choice",
"origin": "source",
"source_key": "logical_deduction",
"prompt": "The following paragraphs each describe a set of seven objects arranged in a fixed order. The statements are logically consistent within each paragraph.\n\nA fruit stand sells seven f... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "logical_deduction",
"split": "train",
"row": 919,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:logical_deduction",
"capability": "math_logic",
"capability_labe... | {
"logical_deduction": {
"answer": "the_loquats_are_the_seco"
}
} |
db-bigbench-00a2bf9b | knowledge_reasoning | en | Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia quote does not provide the necessary information to resolve the question.
Passage: Jed Whedon: Jed Tucker Whedon ( born December 18 , 1974 ) is an America... | [
{
"key": "vitaminc_fact_verification",
"kind": "choice",
"origin": "source",
"source_key": "vitaminc_fact_verification",
"prompt": "Based only on the information contained in a brief quote from Wikipedia, answer whether the related claim is True, False or Neither. Use Neither when the Wikipedia ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "vitaminc_fact_verification",
"split": "train",
"row": 20065,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:vitaminc_fact_verification",
"capability": "reading_evidence",
"... | {
"vitaminc_fact_verification": {
"answer": "true"
}
} |
db-bigbench-00a322c3 | knowledge_reasoning | en | The following paragraphs each describe a set of seven objects arranged in a fixed order. The statements are logically consistent within each paragraph.
On a shelf, there are seven books: an orange book, a red book, a brown book, a blue book, a black book, a gray book, and a white book. The white book is the leftmost. ... | [
{
"key": "logical_deduction",
"kind": "choice",
"origin": "source",
"source_key": "logical_deduction",
"prompt": "The following paragraphs each describe a set of seven objects arranged in a fixed order. The statements are logically consistent within each paragraph.\n\nOn a shelf, there are seven... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "logical_deduction",
"split": "train",
"row": 471,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:logical_deduction",
"capability": "math_logic",
"capability_labe... | {
"logical_deduction": {
"answer": "the_brown_book_is_the_th"
}
} |
db-bigbench-00a89cac | knowledge_reasoning | en | When expressed in units of centihertz, 44.0 Hertz is | [
{
"key": "unit_conversion",
"kind": "choice",
"origin": "source",
"source_key": "unit_conversion",
"prompt": "When expressed in units of centihertz, 44.0 Hertz is",
"options": [
{
"key": "4400_0_centimeters",
"label": "4400.0 centimeters."
},
{
"key"... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "unit_conversion",
"split": "train",
"row": 17218,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:unit_conversion",
"capability": "math_logic",
"capability_label"... | {
"unit_conversion": {
"answer": "4400_0_centihertz"
}
} |
db-bigbench-00aa3312 | knowledge_reasoning | en | Alice, Bob, Claire, Dave, and Eve are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Melissa, Bob is dancing with Patrick, Claire is dancing with Izzi, Dave is dancing with Lola, and Eve is dancing with Rodrigo.
Throughout the song, the dancers often trade partners.... | [
{
"key": "tracking_shuffled_objects",
"kind": "choice",
"origin": "source",
"source_key": "tracking_shuffled_objects",
"prompt": "Alice, Bob, Claire, Dave, and Eve are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Melissa, Bob is dancing with ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "tracking_shuffled_objects",
"split": "train",
"row": 113,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:tracking_shuffled_objects",
"capability": "math_logic",
"capabil... | {
"tracking_shuffled_objects": {
"answer": "rodrigo"
}
} |
db-bigbench-00b4c985 | knowledge_reasoning | en | Q: "It is not always easy to see who is related to whom -- and in which ways. The following argument pertains to this question: First, every close friend of Jasper is neither a classmate of Daniel nor a great-grandfather of Ray. All this entails that no classmate of Daniel and no great-grandfather of Ray is a close fri... | [
{
"key": "formal_fallacies_syllogisms_negation",
"kind": "choice",
"origin": "source",
"source_key": "formal_fallacies_syllogisms_negation",
"prompt": "Q: \"It is not always easy to see who is related to whom -- and in which ways. The following argument pertains to this question: First, every cl... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "formal_fallacies_syllogisms_negation",
"split": "train",
"row": 1248,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:formal_fallacies_syllogisms_negation",
"capability": "math_logic",... | {
"formal_fallacies_syllogisms_negation": {
"answer": "valid"
}
} |
db-bigbench-00be8765 | knowledge_reasoning | en | Identify the relation between the following premises and hypotheses, choosing from the options 'entailment' or 'non-entailment'.
Premise: Emma suspects that Charlotte assumes that a band singing and playing electric guitar for a crowd of people. Hypothesis: Emma suspects that a band singing and playing electric guitar... | [
{
"key": "epistemic_reasoning",
"kind": "choice",
"origin": "source",
"source_key": "epistemic_reasoning",
"prompt": "Identify the relation between the following premises and hypotheses, choosing from the options 'entailment' or 'non-entailment'.\n\nPremise: Emma suspects that Charlotte assumes ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "epistemic_reasoning",
"split": "train",
"row": 849,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:epistemic_reasoning",
"capability": "math_logic",
"capability_la... | {
"epistemic_reasoning": {
"answer": "non_entailment"
}
} |
db-bigbench-00bf3def | knowledge_reasoning | en | The following paragraphs each describe a set of five objects arranged in a fixed order. The statements are logically consistent within each paragraph.
In a golf tournament, there were five golfers: Amy, Mel, Rob, Joe, and Ada. Joe finished second. Joe finished below Amy. Mel finished second-to-last. Ada finished last. | [
{
"key": "logical_deduction",
"kind": "choice",
"origin": "source",
"source_key": "logical_deduction",
"prompt": "The following paragraphs each describe a set of five objects arranged in a fixed order. The statements are logically consistent within each paragraph.\n\nIn a golf tournament, there ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "logical_deduction",
"split": "train",
"row": 294,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:logical_deduction",
"capability": "math_logic",
"capability_labe... | {
"logical_deduction": {
"answer": "mel_finished_second_to_l"
}
} |
db-bigbench-00c2cb73 | knowledge_reasoning | en | Q: There are 4 houses in a row, numbered 1 on the left to 4 on the right. There is one person living in each house. The people in these houses have different characteristics:
- Each person has a favorite drink: one only drinks water, one is a root beer lover, one is a coffee drinker, and one is a tea drinker
- Each p... | [
{
"key": "logic_grid_puzzle",
"kind": "choice",
"origin": "source",
"source_key": "logic_grid_puzzle",
"prompt": "Q: There are 4 houses in a row, numbered 1 on the left to 4 on the right. There is one person living in each house. The people in these houses have different characteristics:\n - Eac... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "logic_grid_puzzle",
"split": "train",
"row": 738,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:logic_grid_puzzle",
"capability": "math_logic",
"capability_labe... | {
"logic_grid_puzzle": {
"answer": "1"
}
} |
db-bigbench-00c4f037 | knowledge_reasoning | en | The following paragraphs each describe a set of five objects arranged in a fixed order. The statements are logically consistent within each paragraph.
In a golf tournament, there were five golfers: Joe, Eve, Mya, Rob, and Dan. Joe finished below Dan. Mya finished first. Dan finished below Rob. Eve finished above Rob. | [
{
"key": "logical_deduction",
"kind": "choice",
"origin": "source",
"source_key": "logical_deduction",
"prompt": "The following paragraphs each describe a set of five objects arranged in a fixed order. The statements are logically consistent within each paragraph.\n\nIn a golf tournament, there ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "logical_deduction",
"split": "train",
"row": 38,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:logical_deduction",
"capability": "math_logic",
"capability_labe... | {
"logical_deduction": {
"answer": "rob_finished_third"
}
} |
db-bigbench-00c922f3 | knowledge_reasoning | en | Q: What is 510 minus 466?
choice: 33
choice: 3441
choice: banana
choice: 44
choice: 68
choice: 5
choice: house
A: | [
{
"key": "arithmetic",
"kind": "choice",
"origin": "source",
"source_key": "arithmetic",
"prompt": "Q: What is 510 minus 466?\n choice: 33\n choice: 3441\n choice: banana\n choice: 44\n choice: 68\n choice: 5\n choice: house\nA:",
"options": [
{
"key": "3441",
"l... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "arithmetic",
"split": "train",
"row": 5398,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:arithmetic",
"capability": "math_logic",
"capability_label": "数学... | {
"arithmetic": {
"answer": "44"
}
} |
db-bigbench-00d086b8 | knowledge_reasoning | en | In the following chess position, find a checkmate-in-one move.
1. d4 Nf6 2. Bf4 d6 3. Nc3 g6 4. e4 c6 5. Bc4 b5 6. Bb3 a5 7. d5 a4 8. e5 Ng8 9. Bxa4 bxa4 10. exd6 exd6 11. Qe2+ Ne7 12. dxc6 Nxc6 13. O-O-O Bg7 14. Bxd6 Bxc3 15. bxc3 O-O 16. Qe3 Re8 17. Qh6 Nf5 18. Qf4 Nxd6 19. Rxd6 Qb6 20. Nf3 Rb8 21. Qh6 Qb1+ 22. Kd2 ... | [
{
"key": "checkmate_in_one",
"kind": "choice",
"origin": "source",
"source_key": "checkmate_in_one",
"prompt": "In the following chess position, find a checkmate-in-one move.\n\n1. d4 Nf6 2. Bf4 d6 3. Nc3 g6 4. e4 c6 5. Bc4 b5 6. Bb3 a5 7. d5 a4 8. e5 Ng8 9. Bxa4 bxa4 10. exd6 exd6 11. Qe2+ Ne7 ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "checkmate_in_one",
"split": "train",
"row": 98,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:checkmate_in_one",
"capability": "math_logic",
"capability_label... | {
"checkmate_in_one": {
"answer": "rb1"
}
} |
db-bigbench-00d20c6f | knowledge_reasoning | en | If you follow these instructions, do you return to the starting point?
Q: Turn left. Take 2 steps. Take 10 steps. Take 10 steps.
A: | [
{
"key": "navigate",
"kind": "choice",
"origin": "source",
"source_key": "navigate",
"prompt": "If you follow these instructions, do you return to the starting point?\nQ: Turn left. Take 2 steps. Take 10 steps. Take 10 steps.\nA:",
"options": [
{
"key": "true",
"label":... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "navigate",
"split": "train",
"row": 271,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:navigate",
"capability": "math_logic",
"capability_label": "数学与形... | {
"navigate": {
"answer": "false"
}
} |
db-bigbench-00d589e8 | knowledge_reasoning | en | If you follow these instructions, do you return to the starting point?
Q: Always face forward. Take 8 steps right. Take 8 steps left.
A: | [
{
"key": "navigate",
"kind": "choice",
"origin": "source",
"source_key": "navigate",
"prompt": "If you follow these instructions, do you return to the starting point?\nQ: Always face forward. Take 8 steps right. Take 8 steps left.\nA:",
"options": [
{
"key": "true",
"la... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "navigate",
"split": "train",
"row": 155,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:navigate",
"capability": "math_logic",
"capability_label": "数学与形... | {
"navigate": {
"answer": "true"
}
} |
db-bigbench-00d856d0 | knowledge_reasoning | en | Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Sam, Bob is dancing with Karl, Claire is dancing with Izzi, Dave is dancing with Jamie, Eve is dancing with Helga, Fred is dancing with Rodrigo, and Gertrude is dancin... | [
{
"key": "tracking_shuffled_objects",
"kind": "choice",
"origin": "source",
"source_key": "tracking_shuffled_objects",
"prompt": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Sam, Bob is d... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "tracking_shuffled_objects",
"split": "train",
"row": 1742,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:tracking_shuffled_objects",
"capability": "math_logic",
"capabil... | {
"tracking_shuffled_objects": {
"answer": "karl"
}
} |
db-bigbench-00d900c2 | knowledge_reasoning | en | What is the result of the following arithmetic operations?:divide(add(80, 10), divide(30, 100))
choice:300
choice:480
choice:360
choice:240
choice:420
A: | [
{
"key": "elementary_math_qa",
"kind": "choice",
"origin": "source",
"source_key": "elementary_math_qa",
"prompt": "What is the result of the following arithmetic operations?:divide(add(80, 10), divide(30, 100))\n choice:300\n choice:480\n choice:360\n choice:240\n choice:420\nA:",
"options"... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "elementary_math_qa",
"split": "train",
"row": 10924,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:elementary_math_qa",
"capability": "math_logic",
"capability_lab... | {
"elementary_math_qa": {
"answer": "300"
}
} |
db-bigbench-00e3819f | knowledge_reasoning | en | Q: Do you think the following argument is 'Valid' or 'Invalid'? Michael is older than Jones. Anne is older than Michael. Sam is older than Lara. Jennifer is older than Anne. Therefore lara is older than Sam.
A: | [
{
"key": "logical_fallacy_detection",
"kind": "choice",
"origin": "source",
"source_key": "logical_fallacy_detection",
"prompt": "Q: Do you think the following argument is 'Valid' or 'Invalid'? Michael is older than Jones. Anne is older than Michael. Sam is older than Lara. Jennifer is older tha... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "logical_fallacy_detection",
"split": "train",
"row": 1461,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:logical_fallacy_detection",
"capability": "math_logic",
"capabil... | {
"logical_fallacy_detection": {
"answer": "invalid"
}
} |
db-bigbench-00e85612 | knowledge_reasoning | en | Please answer the following questions about which words certain pronouns refer to.
Sam tried to paint a picture of shepherds with sheep, but they ended up looking more like golfers. The 'they' refers to the shepherds because they're so similar to the 'golfer' that it's hard to miss.
The above reasoning is | [
{
"key": "winowhy",
"kind": "choice",
"origin": "source",
"source_key": "winowhy",
"prompt": "Please answer the following questions about which words certain pronouns refer to.\n\nSam tried to paint a picture of shepherds with sheep, but they ended up looking more like golfers. The 'they' refers... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "winowhy",
"split": "train",
"row": 1218,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:winowhy",
"capability": "reading_evidence",
"capability_label": ... | {
"winowhy": {
"answer": "correct"
}
} |
db-bigbench-00edc49c | knowledge_reasoning | en | Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Ophelia, Bob is dancing with Rodrigo, Claire is dancing with Izzi, Dave is dancing with Melissa, Eve is dancing with Lola, Fred is dancing with Patrick, and Gertrude i... | [
{
"key": "tracking_shuffled_objects",
"kind": "choice",
"origin": "source",
"source_key": "tracking_shuffled_objects",
"prompt": "Alice, Bob, Claire, Dave, Eve, Fred, and Gertrude are dancers at a square dance. At the start of a song, they each have a partner: Alice is dancing with Ophelia, Bob ... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "tracking_shuffled_objects",
"split": "train",
"row": 1453,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:tracking_shuffled_objects",
"capability": "math_logic",
"capabil... | {
"tracking_shuffled_objects": {
"answer": "ophelia"
}
} |
db-bigbench-00efca3b | knowledge_reasoning | en | Please answer the following questions about which words certain pronouns refer to.
The man couldn't lift his son because he was so heavy. The 'he' refers to the son because son is lift was so heavy.
The above reasoning is | [
{
"key": "winowhy",
"kind": "choice",
"origin": "source",
"source_key": "winowhy",
"prompt": "Please answer the following questions about which words certain pronouns refer to.\n\nThe man couldn't lift his son because he was so heavy. The 'he' refers to the son because son is lift was so heavy.... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "winowhy",
"split": "train",
"row": 1302,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:winowhy",
"capability": "reading_evidence",
"capability_label": ... | {
"winowhy": {
"answer": "correct"
}
} |
db-bigbench-00fcc498 | knowledge_reasoning | en | Please answer the following questions about which words certain pronouns refer to.
Joan made sure to thank Susan for all the help she had given. The 'she' refers to susan because Susan gave help, she is likely to be thanked.
The above reasoning is | [
{
"key": "winowhy",
"kind": "choice",
"origin": "source",
"source_key": "winowhy",
"prompt": "Please answer the following questions about which words certain pronouns refer to.\n\nJoan made sure to thank Susan for all the help she had given. The 'she' refers to susan because Susan gave help, she... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "winowhy",
"split": "train",
"row": 1978,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:winowhy",
"capability": "reading_evidence",
"capability_label": ... | {
"winowhy": {
"answer": "correct"
}
} |
db-bigbench-01029e0e | knowledge_reasoning | en | In the following chess position, find a checkmate-in-one move.
1. e4 g6 2. Nf3 Nh6 3. Bc4 a5 4. d4 f5 5. Bxh6 Na6 6. Bxf8 Kxf8 7. exf5 gxf5 8. Ne5 Nb4 9. Nf7 Qe8 10. Nxh8 Qh5 11. Qxh5 Nxc2+ 12. Kd2 Nxa1 13. | [
{
"key": "checkmate_in_one",
"kind": "choice",
"origin": "source",
"source_key": "checkmate_in_one",
"prompt": "In the following chess position, find a checkmate-in-one move.\n\n1. e4 g6 2. Nf3 Nh6 3. Bc4 a5 4. d4 f5 5. Bxh6 Na6 6. Bxf8 Kxf8 7. exf5 gxf5 8. Ne5 Nb4 9. Nf7 Qe8 10. Nxh8 Qh5 11. Qx... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "checkmate_in_one",
"split": "train",
"row": 348,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:checkmate_in_one",
"capability": "math_logic",
"capability_label... | {
"checkmate_in_one": {
"answer": "qf7"
}
} |
db-bigbench-01064590 | knowledge_reasoning | en | What is the answer to the following math word problem, with the given hint?:two sets of 7 consecutive positive integers have exactly one integer in common . the sum of the integers in the set with greater numbers is how much greater than the sum of the integers in the other set ?
multiply 10 to 7, multiply 7 to 4, and ... | [
{
"key": "elementary_math_qa",
"kind": "choice",
"origin": "source",
"source_key": "elementary_math_qa",
"prompt": "What is the answer to the following math word problem, with the given hint?:two sets of 7 consecutive positive integers have exactly one integer in common . the sum of the integers... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "elementary_math_qa",
"split": "train",
"row": 22220,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:elementary_math_qa",
"capability": "math_logic",
"capability_lab... | {
"elementary_math_qa": {
"answer": "42"
}
} |
db-bigbench-01066fad | knowledge_reasoning | en | Given a short answer along with its context, select the most appropriate question which has the given short answer as its answer.
Here is the short answer followed by the context.
Short Answer: nine nations Context: The Amazon rainforest (Portuguese: Floresta Amazônica or Amazônia; Spanish: Selva Amazónica, Amazonía o... | [
{
"key": "question_selection",
"kind": "choice",
"origin": "source",
"source_key": "question_selection",
"prompt": "Given a short answer along with its context, select the most appropriate question which has the given short answer as its answer.\n\nHere is the short answer followed by the contex... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "question_selection",
"split": "train",
"row": 47,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:question_selection",
"capability": "reading_evidence",
"capabili... | {
"question_selection": {
"answer": "how_many_countries_make_"
}
} |
db-bigbench-0112dadb | knowledge_reasoning | en | In the SIT-plain world a structure is a sequence of six emojis.
Hereafter are reported the emojis used along with their descriptions.
🔴 is a red circle;
🔵 is a blue circle;
🟡 is a yellow circle;
🔺 is a red triangle pointing_up;
🔻 is a red triangle pointing_down;
🟥 is a red square;
🟦 is a blue square;
🟨 ... | [
{
"key": "symbol_interpretation",
"kind": "choice",
"origin": "source",
"source_key": "symbol_interpretation",
"prompt": "In the SIT-plain world a structure is a sequence of six emojis.\nHereafter are reported the emojis used along with their descriptions.\n 🔴 is a red circle;\n 🔵 is a blue ci... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "symbol_interpretation",
"split": "train",
"row": 600,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:symbol_interpretation",
"capability": "math_logic",
"capability_... | {
"symbol_interpretation": {
"answer": "there_are_zero_triangles"
}
} |
db-bigbench-01158d48 | knowledge_reasoning | en | In the following chess position, find a checkmate-in-one move.
1. e4 e5 2. Bc4 g6 3. Qf3 Nh6 4. d3 Bg7 5. Bxh6 Bxh6 6. | [
{
"key": "checkmate_in_one",
"kind": "choice",
"origin": "source",
"source_key": "checkmate_in_one",
"prompt": "In the following chess position, find a checkmate-in-one move.\n\n1. e4 e5 2. Bc4 g6 3. Qf3 Nh6 4. d3 Bg7 5. Bxh6 Bxh6 6.",
"options": [
{
"key": "qf6",
"labe... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "checkmate_in_one",
"split": "train",
"row": 2486,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:checkmate_in_one",
"capability": "math_logic",
"capability_label... | {
"checkmate_in_one": {
"answer": "qxf7"
}
} |
db-bigbench-011a1d33 | knowledge_reasoning | en | Identify the relation between the following premises and hypotheses, choosing from the options 'entailment' or 'non-entailment'.
Premise: Olivia believes that Amelia recognizes that a woman wearing a purple with black polka-dot hoodie is resting on a bench in the sunlight. Hypothesis: Olivia believes that a woman wear... | [
{
"key": "epistemic_reasoning",
"kind": "choice",
"origin": "source",
"source_key": "epistemic_reasoning",
"prompt": "Identify the relation between the following premises and hypotheses, choosing from the options 'entailment' or 'non-entailment'.\n\nPremise: Olivia believes that Amelia recognize... | {
"dataset": "tasksource/bigbench",
"revision": "210c156767d2f4f05d2f4fd0bb275017a67040fd",
"config": "epistemic_reasoning",
"split": "train",
"row": 543,
"license": "apache-2.0",
"url": "https://huggingface.co/datasets/tasksource/bigbench",
"slug": "bigbench"
} | {
"converter": "convert_capability.py",
"converter_version": "0.2",
"created_at": "2026-10-20T09:00:00",
"native": true,
"key_source": "native-name",
"question_origin": "source",
"quality_flags": [],
"domain_rule": "capability:bigbench:epistemic_reasoning",
"capability": "math_logic",
"capability_la... | {
"epistemic_reasoning": {
"answer": "entailment"
}
} |
End of preview.
PoL 通用决策数据集 v5（general decision）
给只做“选一个”的小决策模型用的中英双语数据集：71,519 条 / 78,001 个问题。每条是「情境 → 一个或多个类型化问题 → 候选项或量程 → 答案（可带概率分布）」的四元组。三种封闭决策原语：noul（是/否）、choice（多选一）、score（序数打分）。模型只选择、不生成自由文本，便于低成本、可校准的运行时治理判定。
English: a bilingual (en/zh) typed-decision dataset for small closed-choice decision models. Each item is (state → typed questions → options/scale → answer/probabilities) with three primitives (noul / choice / score). 71,519 items / 78,001 questions across train, validation and test.
本仓库是 Hugging Face 发布副本。数据卡、来源登记、训练侧过滤与字段契约在 GitHub 工程 PoL-Governance 的 datasets/general/ 下（README / CONTRACT / TRAINING / SOURCES / HF.md）。
1. 速览
| 指标 | 数值 |
|---|---|
| 条目 / 问题 | 71,519 / 78,001 |
| 分区（条目） | train 48,728 · validation 7,597 · test 15,194 |
| 语言（条目） | en 60,499 · zh 11,020 |
| 原语（问题占比） | choice 82.31% · noul 10.37% · score 7.32% |
| 能力维度（条目占比） | 工具与行动选择 20.18% · 数学与形式逻辑 28.40% · 阅读理解与证据整合 42.94% · 世界知识及其应用 1.74% · 因果、反事实与不确定性判断 0.83% · 社会与人类判断 5.92% |
| 采用旁挂 probs 后的可用软分布 | 62.74%（48,941 / 78,001） |
| 来源 | 13 个（9 个公开数据集 + 4 个中文补充来源） |
| 格式 | JSONL（UTF-8，一行一条；gzip 发布） |
数字由 datasets/general/export_hf.py 从本仓库发布文件现算；能力维度规则链与软分布口径同 GitHub README §2 / §4.4（readme_stats.py）。
2. 文件
| 文件 | 大小 | 行数 | sha256（前 16 位） | 说明 |
|---|---|---|---|---|
| train.jsonl.gz | 19.3 MB | 48,728 | 3ed3235133615616 | train 分区主数据（训练；含 3,148 条只进 train 的中文安全补充） |
| validation.jsonl.gz | 3.1 MB | 7,597 | 23ea40db848cb7f5 | validation 分区主数据（选模型、调超参） |
| test.jsonl.gz | 6.2 MB | 15,194 | 8eaf7e05cf8987f0 | test 分区主数据（回归测试，不用于调参） |
| jev-probs.jsonl.gz | 4.6 MB | 44,740 | 3365cffe02a37b95 | 概率旁挂件（按 (id, key) join；一致子集偏差，见 §6） |
| target-types.jsonl.gz | 834.7 KB | 74,853 | 19f63155c60ffb9d | target 形态与训练路由旁挂件（按 (item_id, question_key) join） |
| zh-supplement-items.jsonl.gz | 936.0 KB | 3,148 | 65d12c2a1d84bfc1 | train-only 中文安全补充 3,148 条（主数据 train 已含；此文件供 README 复算与溯源） |
| MANIFEST.json | — | — | 本文件 | 机器可读清单：逐文件 sha256/bytes/行数/可见性/来源；不列出自身 |
完整 sha256、字节数与行数以 MANIFEST.json 为准。
3. 记录字段
| 字段 | 说明 |
|---|---|
| id | 全局唯一，由（来源, 版本, 行号）确定性派生 |
| lang | en / zh，保留源语言 |
| state | 待判断的情境文本 |
| questions[] | 非空；每项 {key, kind, prompt, options?, scale?, origin?, source_key?} |
| targets | {<问题 key>: {answer, probs?}}；本数据集 100% 自带 answer |
| source | 溯源信息：{dataset, revision, config, split, row, license, url} |
| meta | 转换器信息与质量标记 |
score 题的 probs 键是数字下标 "0".."max"（不是 scale.labels 的文字），建输出词表请用 range(min, max+1)。
4. 旁挂件字段
- target-types.jsonl.gz（74,853 行）：item_id / question_key / shape_class / target_type / training_route / calibration_role / rule_id / provenance_ref 等。join 键 (item_id, question_key)。
- jev-probs.jsonl.gz（44,740 行）：id / key / qid / kind / answer / probs / label_confidence / consensus_agree / consensus_n / distribution_semantics / upstream_model。join 键 (id, key)。
- zh-supplement-items.jsonl.gz（3,148 行）：只追加进 train 的中文安全补充条目（字段与主数据相同，另含顶层 origin / group_id）。
5. 划分与数据边界
- train 只用于训练；validation 用于选模型/调参；test 只做回归，不用于梯度、教师生成、蒸馏或选阈值。
- 内部保留集（benchmark）：6,541 条 / 7,990 问，不在本仓库，由维护者放在独立的私有 HF 仓库（en-only），只用于模型定版后的版本对比。
- 本仓库不含任何保留集成员 id 或正文；发布脚本生成公开面时对 benchmark 全量成员 id 做零命中断言，命中即中止。
- 反复依据 test 改方案要在结果卡披露，不要继续称它为未见测试。
- 硬边界：public 与 private_holdout 物理分开；保留集不进入任何公开分支/fork/PR/日志/截图/训练上下文。
6. 已知限制（必读）
- 软分布 62.74% 是一致子集偏差，不是无偏概率。 旁挂 probs 来自专用决策模型（mercury-decide 系列）的判定，且只保留“模型判定与语料答案一致”的目标；与语料答案不一致的目标被系统性排除。不要拿它做校准参照；做蒸馏时按 label_confidence 分层加权（本发布件：high 6,991 / medium 35,869 / low 1,880）。
- 保留集只防随手复现，不是安全边界。 切分使用了仓外私盐，防止“公开脚本 + 公开种子”重建保留集；它不提供密码学保证。评测者不得主动把保留集内容交给训练 Agent。
- 能力偏斜。 阅读 + 数学合计约 71.34%；世界知识 1.74% / 因果·反事实 0.83% 很薄，别指望这份数据单独补这两维。
- 保留集 en-only。 中文答案索引曾在公开 git 历史可达（v5 已永久轮换该批 id），因此中文不进 benchmark，zh 分项分数不具盲测意义。
- 保留集来源均衡导致总分不是自然分布的无偏估计： benchmark 内单一来源上限 25%，最大的两个来源在包内合计 50%（语料里占 77.3%），请按来源分层报分。
- 来源是教师蒸馏 / 混合行为先验。 部分 probs 是教师或模型判定，不是人工标注的世界概率；逐来源许可与署名见 GitHub SOURCES.md 与每条的 source.license。
- test / validation 的分布偏斜： 社会与人类判断在 test / validation 只有 263 / 115 条（中文补充按设计只进 train），不要用它们评这一维。
7. 来源与许可
- 来源登记（固定 revision、抓取单元、逐来源许可）：GitHub 工程 datasets/general/SOURCES.md 与 sources.json。
- 发布许可：项目数据许可 Proof of Love2；逐来源许可（apache-2.0 / cc-by-4.0 / mit / cc0-1.0 / openrail++ 等）保留在每条记录的 source.license 字段，再分发时请保留该字段与来源署名。
- 概率旁挂件由 inception/mercury-decide 系列模型判定（见 jev-probs 的 upstream_model 字段），不是人工标注。
8. 引用 / Citation
@misc{pol-general-decision-v5,
title = {PoL General Decision Dataset v5},
author = {{NaturalDAO PoL-Governance contributors}},
year = {2026},
howpublished = {Hugging Face dataset},
note = {Version 0.5; https://huggingface.co/datasets/NaturalDAO/pol-decision-general-v5}
}
引用时请固定 revision：用 Hugging Face 页面上的 commit sha（或下载时用 --revision 固定）；数据集版本为 v0.5。
9. 复现与校验
本仓库所有文件由 GitHub 工程 datasets/general/export_hf.py 生成：离线、确定性、不含时间戳；同一输入两次构建逐字节一致。
在 GitHub 工程内校验下载副本：
uv run --no-project --offline python datasets/general/export_hf.py verify --dir <下载目录>不依赖仓库的独立校验（标准库，在本目录运行）：
import hashlib, json, os manifest = json.load(open("MANIFEST.json", encoding="utf-8")) for entry in manifest["files"]: digest = hashlib.sha256(open(os.path.join("", entry["path"]), "rb").read()).hexdigest() assert digest == entry["sha256"], entry["path"] print("ok:", len(manifest["files"]), "files")生成命令：
uv run --no-project --offline python datasets/general/export_hf.py build
本数据卡由 export_hf.py 生成；请勿手改（改生成器或数据后重跑）。
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