Slayer1B-Benchmarks / tasks_50.json
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Benchmarks: first results bench50-v0.3.1 (results 1cf2b8bb, page b71d0c71)
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{
"schema_version": 2,
"protocol": "bench50-v0.3.1",
"status": "selected_source_registry_not_measurements_or_execution_approval",
"scope": "50 distinct upstream benchmark identities; variants, splits, translations, rounds and suite members are not extra benchmarks",
"counts": {
"rows": 50,
"distinct_benchmarks": 50,
"EN": 38,
"PL": 12,
"source_members": 204,
"dataset_repositories": 44
},
"distinctness": {
"key": "benchmark_id and reviewed upstream collection, not YAML task name",
"umbrella_suites_not_added_to_components": true,
"statistical_independence_claimed": false,
"language_balance": "source diversity first; original user directive did not impose25PL/25EN"
},
"sources": {
"lm_eval_commit": "6d2abda4fd171e68a8789330c4149e37c1ca0bda",
"openpl_commit": "21d0ea9cf4fd6153dfff4d84d6ad0aab5488f302",
"source_registry": "benchmark_sources_v03.json",
"origins": {
"en": "canonical pinned EN checkout",
"pl": "canonical pinned PL checkout",
"registry": "this release tasks/ definitions"
}
},
"selection": {
"seed": 20261028,
"max_documents_per_benchmark": 200,
"unit": "source document after the original process_docs; group member namespace included",
"ordering": "SHA256(UTF8(20261028|benchmark_id|member_task|source_id)); ties by canonical source bytes",
"when": "seal all requested benchmark/member data, source IDs, support and requests before loading model weights",
"group_allocation": "reserve min(2,eligible_population) per member; then allocate each remaining slot to the non-full member with largest (budget*source_weight - allocated), ties by member task name; never200 per member",
"group_weighting": "source macro/equal-member or eligible-population-size weights retained independently of sample quota; reaggregate member metrics with those fixed weights",
"support_policy": "configured source count; hash-selected disjoint support per member unless source supplies fixed examples, which retain source order; record every demo and exclude matching scored inputs",
"context_policy": "float32,batch1,max4096,no automaticBOS/chat; reserve task generation limit (default256); drop optional demos from end, never query/options; explicit failure if still over limit",
"wikitext": "full source test stream, canonical weighted byte_perplexity, not Glint conversion; descriptive comparison only",
"full_protocol_B": "separate full-data evaluation of these selected primary protocols; not the old23-definition OpenPL replication",
"harness_seed_tuple": {
"python": 0,
"numpy": 1234,
"torch": 1234,
"fewshot": 1234
},
"empty_group_member": "explicit failure; never silently remove or reweight a required source member"
},
"rows": [
{
"id": "T01",
"benchmark_id": "blimp",
"task": "blimp",
"name": "BLiMP",
"language": "EN",
"family": "blimp",
"domain": "syntax",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "group",
"split": "train",
"shots": 0,
"rationale": "syntax",
"member_count": 67,
"source_record": "blimp",
"license": {
"declared_tags": [
"cc-by-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "nyu-mll/blimp",
"revision": "877fba0801ffb7cbd8c39c1ff314a46f053f6036",
"metadata_source": "https://huggingface.co/api/datasets/nyu-mll/blimp"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [],
"definition": "lm_eval/tasks/blimp/_blimp.yaml"
},
{
"id": "T02",
"benchmark_id": "arc",
"task": "arc_challenge",
"name": "ARC Challenge",
"language": "EN",
"family": "arc",
"domain": "science_reasoning",
"metric": "acc_norm,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "science reasoning",
"member_count": 1,
"source_record": "arc",
"license": {
"declared_tags": [
"cc-by-sa-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "allenai/ai2_arc",
"revision": "210d026faf9955653af8916fad021475a3f00453",
"metadata_source": "https://huggingface.co/api/datasets/allenai/ai2_arc"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"ARC Easy and Polish ARC translation are the same counted family, not extra main benchmarks."
],
"definition": "lm_eval/tasks/arc/arc_challenge.yaml"
},
{
"id": "T03",
"benchmark_id": "wikitext2",
"task": "wikitext",
"name": "WikiText-2",
"language": "EN",
"family": "wikitext2",
"domain": "language_modeling",
"metric": "byte_perplexity,none",
"unit": "byte_ppl",
"higher_is_better": false,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "language modeling",
"member_count": 1,
"source_record": "wikitext2",
"license": {
"declared_tags": [
"cc-by-sa-3.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "EleutherAI/wikitext_document_level",
"revision": "647234772b9554e208af6c826f23b99e3cac88c8",
"metadata_source": "https://huggingface.co/api/datasets/EleutherAI/wikitext_document_level"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Canonical harness byte_perplexity, not the historical Glint tp^(N/B) conversion; full evaluation stream."
],
"definition": "lm_eval/tasks/wikitext/wikitext.yaml"
},
{
"id": "T04",
"benchmark_id": "multiblimp",
"task": "multiblimp_pl",
"name": "MultiBLiMP-PL",
"language": "PL",
"family": "multiblimp",
"domain": "morphosyntax",
"metric": "accuracy",
"unit": "percent",
"higher_is_better": true,
"instrument": "custom_pl",
"entrypoint_kind": "custom",
"split": "pol/data.tsv",
"shots": 0,
"rationale": "morphosyntax",
"member_count": 1,
"source_record": "multiblimp",
"license": {
"declared_tags": [
"cc-by-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "jumelet/multiblimp",
"revision": "de923efa8d2483d6b13364ee68e65308e990a991",
"metadata_source": "https://huggingface.co/api/datasets/jumelet/multiblimp/revision/de923efa8d2483d6b13364ee68e65308e990a991"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Independent UD/UniMorph construction, not BLiMP translation. Preserve the explicit historical space-prefix log-probability-sum instrument."
]
},
{
"id": "T05",
"benchmark_id": "hellaswag",
"task": "hellaswag",
"name": "HellaSwag",
"language": "EN",
"family": "hellaswag",
"domain": "commonsense",
"metric": "acc_norm,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "commonsense",
"member_count": 1,
"source_record": "hellaswag",
"license": {
"declared_tags": [
"unknown"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "Rowan/hellaswag",
"revision": "218ec52e09a7e7462a5400043bb9a69a41d06b76",
"metadata_source": "https://huggingface.co/api/datasets/Rowan/hellaswag/revision/218ec52e09a7e7462a5400043bb9a69a41d06b76"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"SWAG is excluded conservatively because the collections reuse ActivityNet context sources.",
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/hellaswag/hellaswag.yaml"
},
{
"id": "T06",
"benchmark_id": "piqa",
"task": "piqa",
"name": "PIQA",
"language": "EN",
"family": "piqa",
"domain": "physical_reasoning",
"metric": "acc_norm,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "physical reasoning",
"member_count": 1,
"source_record": "piqa",
"license": {
"declared_tags": [
"unknown"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "ybisk/piqa",
"revision": "2e8ac2dffd59bac8c3c6714948f4c551a0848bb0",
"metadata_source": "https://huggingface.co/api/datasets/ybisk/piqa/revision/2e8ac2dffd59bac8c3c6714948f4c551a0848bb0"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/piqa/piqa.yaml"
},
{
"id": "T07",
"benchmark_id": "winogrande",
"task": "winogrande",
"name": "WinoGrande",
"language": "EN",
"family": "winogrande",
"domain": "coreference",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "coreference",
"member_count": 1,
"source_record": "winogrande",
"license": {
"declared_tags": [
"unknown"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "allenai/winogrande",
"revision": "01e74176c63542e6b0bcb004dcdea22d94fb67b5",
"metadata_source": "https://huggingface.co/api/datasets/allenai/winogrande/revision/01e74176c63542e6b0bcb004dcdea22d94fb67b5"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/winogrande/default.yaml"
},
{
"id": "T08",
"benchmark_id": "openbookqa",
"task": "openbookqa",
"name": "OpenBookQA",
"language": "EN",
"family": "openbookqa",
"domain": "science_reasoning",
"metric": "acc_norm,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "science reasoning",
"member_count": 1,
"source_record": "openbookqa",
"license": {
"declared_tags": [
"unknown"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "allenai/openbookqa",
"revision": "388097ea7776314e93a529163e0fea805b8a6454",
"metadata_source": "https://huggingface.co/api/datasets/allenai/openbookqa/revision/388097ea7776314e93a529163e0fea805b8a6454"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/openbookqa/openbookqa.yaml"
},
{
"id": "T09",
"benchmark_id": "sciq",
"task": "sciq",
"name": "SciQ",
"language": "EN",
"family": "sciq",
"domain": "science_knowledge",
"metric": "acc_norm,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "science knowledge",
"member_count": 1,
"source_record": "sciq",
"license": {
"declared_tags": [
"cc-by-nc-3.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "allenai/sciq",
"revision": "2c94ad3e1aafab77146f384e23536f97a4849815",
"metadata_source": "https://huggingface.co/api/datasets/sciq"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"NC declaration observed: evaluation-use basis must be independently resolved; this is not training permission or run approval."
],
"definition": "lm_eval/tasks/sciq/sciq.yaml"
},
{
"id": "T10",
"benchmark_id": "boolq",
"task": "boolq",
"name": "BoolQ",
"language": "EN",
"family": "boolq",
"domain": "reading",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "reading",
"member_count": 1,
"source_record": "boolq",
"license": {
"declared_tags": [
"other"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "aps/super_glue",
"revision": "3de24cf8022e94f4ee4b9d55a6f539891524d646",
"metadata_source": "https://huggingface.co/api/datasets/super_glue"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/super_glue/boolq/default.yaml"
},
{
"id": "T11",
"benchmark_id": "copa",
"task": "copa",
"name": "COPA",
"language": "EN",
"family": "copa",
"domain": "causal_reasoning",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "causal reasoning",
"member_count": 1,
"source_record": "copa",
"license": {
"declared_tags": [
"other"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "aps/super_glue",
"revision": "3de24cf8022e94f4ee4b9d55a6f539891524d646",
"metadata_source": "https://huggingface.co/api/datasets/super_glue"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/super_glue/copa/default.yaml"
},
{
"id": "T12",
"benchmark_id": "cb",
"task": "cb",
"name": "CommitmentBank",
"language": "EN",
"family": "cb",
"domain": "entailment",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "entailment",
"member_count": 1,
"source_record": "cb",
"license": {
"declared_tags": [
"other"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "aps/super_glue",
"revision": "3de24cf8022e94f4ee4b9d55a6f539891524d646",
"metadata_source": "https://huggingface.co/api/datasets/super_glue"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/super_glue/cb/default.yaml"
},
{
"id": "T13",
"benchmark_id": "wic",
"task": "wic",
"name": "WiC",
"language": "EN",
"family": "wic",
"domain": "word_sense",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "word sense",
"member_count": 1,
"source_record": "wic",
"license": {
"declared_tags": [
"other"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "aps/super_glue",
"revision": "3de24cf8022e94f4ee4b9d55a6f539891524d646",
"metadata_source": "https://huggingface.co/api/datasets/super_glue"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/super_glue/wic/default.yaml"
},
{
"id": "T14",
"benchmark_id": "wsc273",
"task": "wsc273",
"name": "Winograd Schema Challenge",
"language": "EN",
"family": "wsc273",
"domain": "coreference",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "coreference",
"member_count": 1,
"source_record": "wsc273",
"license": {
"declared_tags": [
"cc-by-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "ErnestSDavis/winograd_wsc",
"revision": "8052c534a4cecd8328c0bc879f6a5aa07404c4da",
"metadata_source": "https://huggingface.co/api/datasets/winograd_wsc"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [],
"definition": "lm_eval/tasks/wsc273/default.yaml"
},
{
"id": "T15",
"benchmark_id": "rte",
"task": "sglue_rte",
"name": "RTE",
"language": "EN",
"family": "rte",
"domain": "entailment",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "entailment",
"member_count": 1,
"source_record": "rte",
"license": {
"declared_tags": [
"other"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "aps/super_glue",
"revision": "3de24cf8022e94f4ee4b9d55a6f539891524d646",
"metadata_source": "https://huggingface.co/api/datasets/super_glue"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/super_glue/rte/default.yaml"
},
{
"id": "T16",
"benchmark_id": "anli",
"task": "anli_r3",
"name": "ANLI (R3 primary)",
"language": "EN",
"family": "anli",
"domain": "adversarial_entailment",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test_r3",
"shots": 0,
"rationale": "adversarial entailment",
"member_count": 1,
"source_record": "anli",
"license": {
"declared_tags": [
"cc-by-nc-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "facebook/anli",
"revision": "8e4813d81f46d313dac7892e1c28076917cfcdf9",
"metadata_source": "https://huggingface.co/api/datasets/anli"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"R3 is the primary protocol; R1/R2 do not increase benchmark count.",
"NC declaration observed: evaluation-use basis must be independently resolved; this is not training permission or run approval."
],
"definition": "lm_eval/tasks/anli/anli_r3.yaml"
},
{
"id": "T17",
"benchmark_id": "lambada",
"task": "lambada_openai",
"name": "LAMBADA",
"language": "EN",
"family": "lambada",
"domain": "contextual_prediction",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "contextual prediction",
"member_count": 1,
"source_record": "lambada",
"license": {
"declared_tags": [
"mit"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "EleutherAI/lambada_openai",
"revision": "900124bf3b8235c6daf21033af9948b3f07346c4",
"metadata_source": "https://huggingface.co/api/datasets/EleutherAI/lambada_openai"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [],
"definition": "lm_eval/tasks/lambada/lambada_openai.yaml"
},
{
"id": "T18",
"benchmark_id": "logiqa",
"task": "logiqa",
"name": "LogiQA",
"language": "EN",
"family": "logiqa",
"domain": "logical_reasoning",
"metric": "acc_norm,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "logical reasoning",
"member_count": 1,
"source_record": "logiqa",
"license": {
"declared_tags": [
"other"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "EleutherAI/logiqa",
"revision": "c1eee1b2fd0ddc87777e36490f7ad54d0b97d141",
"metadata_source": "https://huggingface.co/api/datasets/EleutherAI/logiqa"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/logiqa/logiqa.yaml"
},
{
"id": "T19",
"benchmark_id": "mathqa",
"task": "mathqa",
"name": "MathQA",
"language": "EN",
"family": "mathqa",
"domain": "mathematics_mc",
"metric": "acc_norm,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "mathematics mc",
"member_count": 1,
"source_record": "mathqa",
"license": {
"declared_tags": [
"apache-2.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "allenai/math_qa",
"revision": "c4f1cc784c04c4957b50c97858f23893b633eea6",
"metadata_source": "https://huggingface.co/api/datasets/math_qa"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [],
"definition": "lm_eval/tasks/mathqa/mathqa.yaml"
},
{
"id": "T20",
"benchmark_id": "prost",
"task": "prost",
"name": "PROST",
"language": "EN",
"family": "prost",
"domain": "physical_reasoning",
"metric": "acc_norm,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "physical reasoning",
"member_count": 1,
"source_record": "prost",
"license": {
"declared_tags": [
"apache-2.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "corypaik/prost",
"revision": "b3efebf08969fc19335ba894353316878b6fa493",
"metadata_source": "https://huggingface.co/api/datasets/corypaik/prost"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [],
"definition": "lm_eval/tasks/prost/corypaik_prost.yaml"
},
{
"id": "T21",
"benchmark_id": "sst2",
"task": "sst2",
"name": "SST-2",
"language": "EN",
"family": "sst2",
"domain": "sentiment",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "sentiment",
"member_count": 1,
"source_record": "sst2",
"license": {
"declared_tags": [
"other"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "nyu-mll/glue",
"revision": "bcdcba79d07bc864c1c254ccfcedcce55bcc9a8c",
"metadata_source": "https://huggingface.co/api/datasets/glue"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/glue/sst2/default.yaml"
},
{
"id": "T22",
"benchmark_id": "polemo2",
"task": "polemo2_in_multiple_choice",
"name": "PoLEMo2 (in-domain MC)",
"language": "PL",
"family": "polemo2",
"domain": "sentiment",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "openpl_polish4",
"entrypoint_kind": "task",
"split": "test",
"shots": 5,
"rationale": "sentiment",
"member_count": 1,
"source_record": "polemo2",
"license": {
"declared_tags": [
"cc-by-sa-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "allegro/klej-polemo2-in",
"revision": "9843af31facd613eb091deaa4141df4331d4f918",
"metadata_source": "https://huggingface.co/api/datasets/allegro/klej-polemo2-in"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Other response-format, domain or language protocols of this source are not extra main benchmarks."
],
"definition": "lm_eval/tasks/polemo2/polemo2_in_mc.yaml"
},
{
"id": "T23",
"benchmark_id": "8tags",
"task": "polish_8tags_multiple_choice",
"name": "8tags",
"language": "PL",
"family": "8tags",
"domain": "topic_classification",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "openpl_polish4",
"entrypoint_kind": "task",
"split": "test",
"shots": 5,
"rationale": "topic classification",
"member_count": 1,
"source_record": "8tags",
"license": {
"declared_tags": [
"cc-by-nc-sa-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "sdadas/8tags",
"revision": "82ddf9c0d06ffc982aeccf2473b7ce31f2167adf",
"metadata_source": "https://huggingface.co/api/datasets/sdadas/8tags"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Other response-format, domain or language protocols of this source are not extra main benchmarks.",
"NC declaration observed: evaluation-use basis must be independently resolved; this is not training permission or run approval."
],
"definition": "lm_eval/tasks/polish_8tags/8tags_mc.yaml"
},
{
"id": "T24",
"benchmark_id": "belebele",
"task": "polish_belebele_mc",
"name": "Belebele-PL",
"language": "PL",
"family": "belebele",
"domain": "reading",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "openpl_polish4",
"entrypoint_kind": "task",
"split": "test",
"shots": 5,
"rationale": "reading",
"member_count": 1,
"source_record": "belebele",
"license": {
"declared_tags": [
"cc-by-sa-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "facebook/belebele",
"revision": "7899cdfa4e1e0d733fd77c848e2c273cb1d32be2",
"metadata_source": "https://huggingface.co/api/datasets/facebook/belebele/revision/7899cdfa4e1e0d733fd77c848e2c273cb1d32be2"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Other response-format, domain or language protocols of this source are not extra main benchmarks."
],
"definition": "lm_eval/tasks/polish_belebele/belebele_mc.yaml"
},
{
"id": "T25",
"benchmark_id": "dyk",
"task": "polish_dyk_multiple_choice",
"name": "CzyWiesz / DYK",
"language": "PL",
"family": "dyk",
"domain": "question_relevance",
"metric": "f1,none",
"unit": "score",
"higher_is_better": true,
"instrument": "openpl_polish4",
"entrypoint_kind": "task",
"split": "test",
"shots": 5,
"rationale": "question relevance",
"member_count": 1,
"source_record": "dyk",
"license": {
"declared_tags": [
"cc-by-sa-3.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "allegro/klej-dyk",
"revision": "dd7c3c3bb336738c853ea17c64b85d876e6714a9",
"metadata_source": "https://huggingface.co/api/datasets/allegro/klej-dyk"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Other response-format, domain or language protocols of this source are not extra main benchmarks."
],
"definition": "lm_eval/tasks/polish_dyk/dyk_mc.yaml"
},
{
"id": "T26",
"benchmark_id": "ppc",
"task": "polish_ppc_multiple_choice",
"name": "Polish Paraphrase Corpus",
"language": "PL",
"family": "ppc",
"domain": "paraphrase",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "openpl_polish4",
"entrypoint_kind": "task",
"split": "test",
"shots": 5,
"rationale": "paraphrase",
"member_count": 1,
"source_record": "ppc",
"license": {
"declared_tags": [
"cc-by-nc-sa-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "sdadas/ppc",
"revision": "073012dc81efb47b0fd66b0ab48bf06ddb62f528",
"metadata_source": "https://huggingface.co/api/datasets/sdadas/ppc"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Other response-format, domain or language protocols of this source are not extra main benchmarks.",
"NC declaration observed: evaluation-use basis must be independently resolved; this is not training permission or run approval."
],
"definition": "lm_eval/tasks/polish_ppc/ppc_mc.yaml"
},
{
"id": "T27",
"benchmark_id": "psc",
"task": "polish_psc_multiple_choice",
"name": "Polish Summaries Corpus (matching)",
"language": "PL",
"family": "psc",
"domain": "summary_matching",
"metric": "f1,none",
"unit": "score",
"higher_is_better": true,
"instrument": "openpl_polish4",
"entrypoint_kind": "task",
"split": "test",
"shots": 5,
"rationale": "summary matching",
"member_count": 1,
"source_record": "psc",
"license": {
"declared_tags": [
"cc-by-sa-3.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "allegro/klej-psc",
"revision": "9585582aef37e7747ef174b0ec3b74855da8bad2",
"metadata_source": "https://huggingface.co/api/datasets/allegro/klej-psc"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Other response-format, domain or language protocols of this source are not extra main benchmarks."
],
"definition": "lm_eval/tasks/polish_psc/psc_mc.yaml"
},
{
"id": "T28",
"benchmark_id": "cbd",
"task": "polish_cbd_multiple_choice",
"name": "Polish Cyberbullying Dataset",
"language": "PL",
"family": "cbd",
"domain": "toxicity_detection",
"metric": "f1,none",
"unit": "score",
"higher_is_better": true,
"instrument": "openpl_polish4",
"entrypoint_kind": "task",
"split": "test",
"shots": 5,
"rationale": "toxicity detection",
"member_count": 1,
"source_record": "cbd",
"license": {
"declared_tags": [
"cc-by-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "ptaszynski/PolishCyberbullyingDataset",
"revision": "be3b1236598a02eff6db05ea7ac386afaabc33e8",
"metadata_source": "https://huggingface.co/api/datasets/ptaszynski/PolishCyberbullyingDataset"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Other response-format, domain or language protocols of this source are not extra main benchmarks."
],
"definition": "lm_eval/tasks/polish_cbd/cbd_mc.yaml"
},
{
"id": "T29",
"benchmark_id": "klej_ner",
"task": "polish_klej_ner_multiple_choice",
"name": "KLEJ NKJP-NER (sentence-level)",
"language": "PL",
"family": "klej_ner",
"domain": "sentence_entity_classification",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "openpl_polish4",
"entrypoint_kind": "task",
"split": "test",
"shots": 5,
"rationale": "entity recognition",
"member_count": 1,
"source_record": "klej_ner",
"license": {
"declared_tags": [
"unknown"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "allegro/klej-nkjp-ner",
"revision": "bfae4047738b985bc2ad533d339dd89c3f7de00d",
"metadata_source": "https://huggingface.co/api/datasets/allegro/klej-nkjp-ner/revision/bfae4047738b985bc2ad533d339dd89c3f7de00d"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Other response-format, domain or language protocols of this source are not extra main benchmarks.",
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/polish_klej_ner/klej_ner_mc.yaml"
},
{
"id": "T30",
"benchmark_id": "polqa",
"task": "polish_polqa_open_book",
"name": "PolQA (open book)",
"language": "PL",
"family": "polqa",
"domain": "question_answering",
"metric": "levenshtein,none",
"unit": "score",
"higher_is_better": true,
"instrument": "openpl_polish4",
"entrypoint_kind": "task",
"split": "test",
"shots": 5,
"rationale": "question answering",
"member_count": 1,
"source_record": "polqa",
"license": {
"declared_tags": [
"cc-by-sa-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "ipipan/polqa",
"revision": "d78d036ef08ab3b9f4d85a2893f4d3a0c95a6f37",
"metadata_source": "https://huggingface.co/api/datasets/ipipan/polqa"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Other response-format, domain or language protocols of this source are not extra main benchmarks."
],
"definition": "lm_eval/tasks/polish_polqa/polqa_open_book.yaml"
},
{
"id": "T31",
"benchmark_id": "poquad",
"task": "polish_poquad_open_book",
"name": "PoQuAD",
"language": "PL",
"family": "poquad",
"domain": "question_answering",
"metric": "levenshtein,none",
"unit": "score",
"higher_is_better": true,
"instrument": "openpl_polish4",
"entrypoint_kind": "task",
"split": "validation",
"shots": 5,
"rationale": "question answering",
"member_count": 1,
"source_record": "poquad",
"license": {
"declared_tags": [
"cc-by-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "clarin-pl/poquad",
"revision": "a60f228d836fbbf990d11b4590c60b3e7f2aec2d",
"metadata_source": "https://huggingface.co/api/datasets/clarin-pl/poquad"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Other response-format, domain or language protocols of this source are not extra main benchmarks."
],
"definition": "lm_eval/tasks/polish_poquad/poquad_open_book.yaml"
},
{
"id": "T32",
"benchmark_id": "mmlu",
"task": "mmlu",
"name": "MMLU",
"language": "EN",
"family": "mmlu",
"domain": "academic_knowledge",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "group",
"split": "test",
"shots": 5,
"rationale": "academic knowledge",
"member_count": 57,
"source_record": "mmlu",
"license": {
"declared_tags": [
"mit"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "hails/mmlu_no_train",
"revision": "b2e1ec9aa795adafe68e8e983248dbd4b52a1c60",
"metadata_source": "https://huggingface.co/api/datasets/hails/mmlu_no_train"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"57 subjects count as one benchmark; MMLU-Pro and translations are not additional sources."
],
"definition": "lm_eval/tasks/mmlu/default/_mmlu.yaml"
},
{
"id": "T33",
"benchmark_id": "gsm8k",
"task": "gsm8k",
"name": "GSM8K",
"language": "EN",
"family": "gsm8k",
"domain": "mathematics_generation",
"metric": "exact_match,strict-match",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 5,
"rationale": "mathematics generation",
"member_count": 1,
"source_record": "gsm8k",
"license": {
"declared_tags": [
"mit"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "openai/gsm8k",
"revision": "740312add88f781978c0658806c59bc2815b9866",
"metadata_source": "https://huggingface.co/api/datasets/gsm8k"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [],
"definition": "lm_eval/tasks/gsm8k/gsm8k.yaml"
},
{
"id": "T34",
"benchmark_id": "math",
"task": "hendrycks_math",
"name": "MATH",
"language": "EN",
"family": "math",
"domain": "competition_mathematics",
"metric": "exact_match,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "group",
"split": "test",
"shots": 0,
"rationale": "competition mathematics",
"member_count": 7,
"source_record": "math",
"license": {
"declared_tags": [
"mit"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "EleutherAI/hendrycks_math",
"revision": "21a5633873b6a120296cce3e2df9d5550074f4a3",
"metadata_source": "https://huggingface.co/api/datasets/EleutherAI/hendrycks_math"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [],
"definition": "lm_eval/tasks/hendrycks_math/hendrycks_math.yaml",
"scoring_notes": [
"source_extractor_floor"
]
},
{
"id": "T35",
"benchmark_id": "truthfulqa",
"task": "truthfulqa_mc2",
"name": "TruthfulQA (MC2)",
"language": "EN",
"family": "truthfulqa",
"domain": "truthfulness",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "truthfulness",
"member_count": 1,
"source_record": "truthfulqa",
"license": {
"declared_tags": [
"apache-2.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "truthfulqa/truthful_qa",
"revision": "741b8276f2d1982aa3d5b832d3ee81ed3b896490",
"metadata_source": "https://huggingface.co/api/datasets/truthful_qa"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"MC2 is normalized probability mass on true answers, not MC1 classification accuracy; source fixed QA preamble retained."
],
"definition": "lm_eval/tasks/truthfulqa/truthfulqa_mc2.yaml"
},
{
"id": "T36",
"benchmark_id": "ifeval",
"task": "ifeval",
"name": "IFEval",
"language": "EN",
"family": "ifeval",
"domain": "instruction_following",
"metric": "prompt_level_strict_acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "train",
"shots": 0,
"rationale": "instruction following",
"member_count": 1,
"source_record": "ifeval",
"license": {
"declared_tags": [
"apache-2.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "google/IFEval",
"revision": "966cd89545d6b6acfd7638bc708b98261ca58e84",
"metadata_source": "https://huggingface.co/api/datasets/google/IFEval"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [],
"definition": "lm_eval/tasks/ifeval/ifeval.yaml"
},
{
"id": "T37",
"benchmark_id": "llmzszl",
"task": "n05_llmzszl",
"name": "LLMzSzŁ",
"language": "PL",
"family": "llmzszl",
"domain": "native_exam_knowledge",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "n05_static_yaml",
"entrypoint_kind": "local_yaml",
"split": "test",
"shots": 0,
"rationale": "native exam knowledge",
"member_count": 1,
"source_record": "llmzszl",
"license": {
"declared_tags": [
"unknown"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "amu-cai/llmzszl-dataset",
"revision": "9c11d52a415147f1e2c44038a9d4d4155f064e1a",
"metadata_source": "https://huggingface.co/api/datasets/amu-cai/llmzszl-dataset"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Dataset card has no license tag: internal evaluation and aggregate export only, per the data-use review. Known training overlap requires revision/ID-bound audit and common clean-subset decision.",
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "tasks/llmzszl.yaml",
"contamination_status": "known overlap reported; exact current revision and ID-bound clean-cohort audit required"
},
{
"id": "T38",
"benchmark_id": "squad2",
"task": "squadv2",
"name": "SQuAD 2.0",
"language": "EN",
"family": "squad2",
"domain": "unanswerable_reading",
"metric": "f1,none",
"unit": "percent",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "legacy_task",
"split": "validation",
"shots": 0,
"rationale": "unanswerable reading",
"member_count": 1,
"source_record": "squad2",
"license": {
"declared_tags": [
"cc-by-sa-4.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "rajpurkar/squad_v2",
"revision": "3ffb306f725f7d2ce8394bc1873b24868140c412",
"metadata_source": "https://huggingface.co/api/datasets/squad_v2"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Do not also count QNLI, XQuAD or SQuAD completion. Preserve the legacy Task and pinned squad_v2 metric, not a fabricated ConfigurableTask replacement."
],
"definition": "lm_eval/tasks/squadv2/task.py"
},
{
"id": "T39",
"benchmark_id": "drop",
"task": "drop",
"name": "DROP",
"language": "EN",
"family": "drop",
"domain": "discrete_reading",
"metric": "f1,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
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"rationale": "discrete reading",
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"license": {
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"cc-by-4.0"
],
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{
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"metadata_source": "https://huggingface.co/api/datasets/EleutherAI/drop"
}
]
},
"data_gate": "required_before_evaluation",
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"definition": "lm_eval/tasks/drop/default.yaml"
},
{
"id": "T40",
"benchmark_id": "race",
"task": "race",
"name": "RACE (high primary)",
"language": "EN",
"family": "race",
"domain": "reading",
"metric": "acc,none",
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"Undeclared/umbrella data terms are a gate, not an inferred permissive licence.",
"Pinned harness high protocol includes earlier article Q/A context; not a claim of full original RACE middle+high paper parity."
],
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},
{
"id": "T41",
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"task": "coqa",
"name": "CoQA",
"language": "EN",
"family": "coqa",
"domain": "conversational_reading",
"metric": "f1,none",
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]
},
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],
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},
{
"id": "T42",
"benchmark_id": "nq_open",
"task": "nq_open",
"name": "Natural Questions Open",
"language": "EN",
"family": "nq_open",
"domain": "closed_book_knowledge",
"metric": "exact_match,remove_whitespace",
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"rationale": "closed book knowledge",
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"basis": "revision-bound dataset-card metadata, not legal or execution approval",
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]
},
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"definition": "lm_eval/tasks/nq_open/nq_open.yaml"
},
{
"id": "T43",
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"task": "triviaqa",
"name": "TriviaQA",
"language": "EN",
"family": "triviaqa",
"domain": "closed_book_knowledge",
"metric": "exact_match,remove_whitespace",
"unit": "score",
"higher_is_better": true,
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"shots": 0,
"rationale": "closed book knowledge",
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"source_record": "triviaqa",
"license": {
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"unknown"
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"basis": "revision-bound dataset-card metadata, not legal or execution approval",
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{
"repo_id": "mandarjoshi/trivia_qa",
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]
},
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],
"definition": "lm_eval/tasks/triviaqa/default.yaml"
},
{
"id": "T44",
"benchmark_id": "pubmedqa",
"task": "pubmedqa",
"name": "PubMedQA",
"language": "EN",
"family": "pubmedqa",
"domain": "biomedical_reading",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "biomedical reading",
"member_count": 1,
"source_record": "pubmedqa",
"license": {
"declared_tags": [
"mit"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "bigbio/pubmed_qa",
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}
]
},
"data_gate": "required_before_evaluation",
"notes": [],
"definition": "lm_eval/tasks/pubmedqa/pubmedqa.yaml"
},
{
"id": "T45",
"benchmark_id": "medmcqa",
"task": "medmcqa",
"name": "MedMCQA",
"language": "EN",
"family": "medmcqa",
"domain": "medical_exam_knowledge",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "medical exam knowledge",
"member_count": 1,
"source_record": "medmcqa",
"license": {
"declared_tags": [
"apache-2.0"
],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "openlifescienceai/medmcqa",
"revision": "91c6572c454088bf71b679ad90aa8dffcd0d5868",
"metadata_source": "https://huggingface.co/api/datasets/medmcqa"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [],
"definition": "lm_eval/tasks/medmcqa/medmcqa.yaml"
},
{
"id": "T46",
"benchmark_id": "social_iqa",
"task": "social_iqa",
"name": "Social IQa",
"language": "EN",
"family": "social_iqa",
"domain": "social_reasoning",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "social reasoning",
"member_count": 1,
"source_record": "social_iqa",
"license": {
"declared_tags": [
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],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "allenai/social_i_qa",
"revision": "8835ceb9141d7896d9d968634a9b21ae440e3ec5",
"metadata_source": "https://huggingface.co/api/datasets/allenai/social_i_qa/revision/8835ceb9141d7896d9d968634a9b21ae440e3ec5"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
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],
"definition": "lm_eval/tasks/siqa/siqa.yaml"
},
{
"id": "T47",
"benchmark_id": "bbh",
"task": "bbh_fewshot",
"name": "BIG-Bench Hard (direct)",
"language": "EN",
"family": "bbh",
"domain": "formal_reasoning",
"metric": "exact_match,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "group",
"split": "test",
"shots": 3,
"rationale": "formal reasoning",
"member_count": 27,
"source_record": "bbh",
"license": {
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],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "lukaemon/bbh",
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"metadata_source": "https://huggingface.co/api/datasets/lukaemon/bbh/revision/982bb89fd79532a8ac676a61fc42eb1aeec63f99"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"27 subtasks count once; direct source-provided fixed examples, not an additional CoT benchmark.",
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/bbh/fewshot/_bbh_fewshot.yaml",
"scoring_amendments": [
"answer_leading_space_strip"
]
},
{
"id": "T48",
"benchmark_id": "paws",
"task": "paws_en",
"name": "PAWS (English PAWS-X protocol)",
"language": "EN",
"family": "paws",
"domain": "adversarial_paraphrase",
"metric": "acc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "test",
"shots": 0,
"rationale": "adversarial paraphrase",
"member_count": 1,
"source_record": "paws",
"license": {
"declared_tags": [
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],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "google-research-datasets/paws-x",
"revision": "4cd8187c404bda33cb1f62b49b001115862acf37",
"metadata_source": "https://huggingface.co/api/datasets/paws-x"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/paws-x/paws_en.yaml"
},
{
"id": "T49",
"benchmark_id": "cola",
"task": "cola",
"name": "CoLA",
"language": "EN",
"family": "cola",
"domain": "acceptability",
"metric": "mcc,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "acceptability",
"member_count": 1,
"source_record": "cola",
"license": {
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],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
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"revision": "bcdcba79d07bc864c1c254ccfcedcce55bcc9a8c",
"metadata_source": "https://huggingface.co/api/datasets/glue"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"MCC may be negative; do not clamp to accuracy0..1.",
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/glue/cola/default.yaml"
},
{
"id": "T50",
"benchmark_id": "record",
"task": "record",
"name": "ReCoRD",
"language": "EN",
"family": "record",
"domain": "entity_reading",
"metric": "f1,none",
"unit": "score",
"higher_is_better": true,
"instrument": "lm_eval_0.4.8",
"entrypoint_kind": "task",
"split": "validation",
"shots": 0,
"rationale": "entity reading",
"member_count": 1,
"source_record": "record",
"license": {
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],
"basis": "revision-bound dataset-card metadata, not legal or execution approval",
"source_revisions": [
{
"repo_id": "aps/super_glue",
"revision": "3de24cf8022e94f4ee4b9d55a6f539891524d646",
"metadata_source": "https://huggingface.co/api/datasets/super_glue"
}
]
},
"data_gate": "required_before_evaluation",
"notes": [
"News passages may overlap broad media sources of CoQA/RACE; the curated entity-cloze questions are a distinct benchmark, not a translation or answer-format variant.",
"Undeclared/umbrella data terms are a gate, not an inferred permissive licence."
],
"definition": "lm_eval/tasks/super_glue/record/default.yaml"
}
],
"verification": {
"source_identities": 50,
"source_members": 204,
"repository_revision_metadata": 44,
"declaration_files": 218,
"execution_ready": false,
"model_quality_measured": false
}
}