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| "dataset_id": "ELBennett/big-decisions", |
| "schema_version": "3.0.0", |
| "description": "A tokenizer-neutral collection of decision examples in a unified fixed-choice format. NOUL and SCORE decisions are represented as ordinary choices; option text, soft targets, ordinal ranks, source attribution, and split boundaries are retained.", |
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| }, |
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| { |
| "id": "bev_decision", |
| "title": "BEV Decision Mix", |
| "group": "Decision-making", |
| "origin": "avbiswas/bev-decision", |
| "covers": "Bundled multi-domain choice, yes/no, and ordinal decisions.", |
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| "id": "domain_decisions", |
| "title": "Domain decisions", |
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| "covers": "Synthetic domain policy / approval decisions.", |
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| { |
| "id": "go_emotions", |
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| "origin": "google-research-datasets/go_emotions", |
| "covers": "Fine-grained emotion classification over Reddit comments.", |
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| }, |
| { |
| "id": "executable_policies", |
| "title": "Executable policies", |
| "group": "Policy", |
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| "covers": "Synthetic executable policy compliance decisions.", |
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| }, |
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| "group": "Semantics and inference", |
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| "covers": "Three-way textual entailment (premise/hypothesis).", |
| "notes": "Related to index ANLI, but MultiNLI is the Certo source.", |
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| }, |
| { |
| "id": "dbpedia14", |
| "title": "DBpedia-14", |
| "group": "Topic classification", |
| "origin": "fancyzhx/dbpedia_14", |
| "covers": "14-way topic classification of Wikipedia abstracts.", |
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| { |
| "id": "known_posterior", |
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| "group": "Probability and belief", |
| "origin": "altslate/certo-decisions-v2:genworld", |
| "covers": "Synthetic calibrated posterior / belief-update decisions.", |
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| { |
| "id": "clinc150", |
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| "group": "Intent classification", |
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| { |
| "id": "boolq", |
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| "id": "sat_analogies", |
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| "title": "MMLU high school", |
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| "group": "Reading comprehension", |
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| "covers": "Middle/high-school reading comprehension MC.", |
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| "covers": "Select-all-that-apply reading questions.", |
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| "origin": "hendrydong/gpqa_main_mc + gpqa_diamond_mc", |
| "covers": "Graduate-level science MC; diamond subset tagged.", |
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| { |
| "id": "musr", |
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| "group": "Multi-step reasoning", |
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| "covers": "Multi-step soft reasoning over narratives.", |
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| "covers": "Logical reading comprehension (GMAT/LSAT style).", |
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| "id": "logiqa", |
| "title": "LogiQA", |
| "group": "Exam", |
| "origin": "lgw863/LogiQA-dataset", |
| "covers": "Logical reasoning MC in English and Chinese.", |
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| { |
| "id": "agieval", |
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| "group": "Exam", |
| "origin": "hails/agieval-*", |
| "covers": "Human exam suites (SAT, LSAT, Gaokao, …) as MC.", |
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| "id": "arc_challenge", |
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| "origin": "allenai/ai2_arc:ARC-Challenge", |
| "covers": "Harder grade-school science MC; official test held out.", |
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| "id": "bbh", |
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| "group": "Reasoning benchmark", |
| "origin": "lukaemon/bbh", |
| "covers": "BIG-Bench Hard multiple-choice / binary tasks.", |
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| "availability": "included", |
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| }, |
| { |
| "id": "bigbench", |
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| "group": "Reasoning benchmark", |
| "origin": "tasksource/bigbench", |
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| }, |
| { |
| "id": "banking77", |
| "title": "BANKING77", |
| "group": "Intent classification", |
| "origin": "PolyAI/banking77", |
| "covers": "77-way banking customer-intent classification.", |
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| { |
| "id": "gsm8k", |
| "title": "GSM8K", |
| "group": "Mathematical reasoning", |
| "origin": "openai/gsm8k", |
| "covers": "Grade-school math word problems as 4-way MC.", |
| "notes": "Numeric distractors are generated by mutating the gold answer.", |
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| { |
| "id": "winogrande", |
| "title": "WinoGrande", |
| "group": "Commonsense reasoning", |
| "origin": "allenai/winogrande", |
| "covers": "Commonsense pronoun / gap fill (2 options).", |
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| { |
| "id": "hellaswag", |
| "title": "HellaSwag", |
| "group": "Commonsense reasoning", |
| "origin": "Rowan/hellaswag", |
| "covers": "Commonsense sentence completion (4 endings).", |
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| { |
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| "group": "Semantics and inference", |
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| "covers": "Adversarial three-way NLI (rounds 1–3).", |
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| "examples": 169072, |
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| { |
| "id": "contract_nli", |
| "title": "ContractNLI", |
| "group": "Semantics and inference", |
| "origin": "tasksource/contract-nli:contractnli_a", |
| "covers": "NDA hypothesis support / contradict / not mentioned.", |
| "notes": "", |
| "availability": "included", |
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| "train": 6872, |
| "dev": 965 |
| }, |
| "examples": 7837, |
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| }, |
| { |
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| "title": "MMLU (remaining)", |
| "group": "Exam", |
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| "covers": "All cais/mmlu subjects except high_school_* (already in capacity).", |
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| "availability": "included", |
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| { |
| "id": "cladder", |
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| "group": "Causal reasoning", |
| "origin": "causalNLP/cladder (HF mirror or GitHub release)", |
| "covers": "Yes/no causal reasoning over stated worlds.", |
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| "availability": "included", |
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| { |
| "id": "cruxeval", |
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| "group": "Code reasoning", |
| "origin": "cruxeval-org/cruxeval", |
| "covers": "Predict Python function output from input (MC).", |
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| { |
| "id": "hle", |
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| "group": "Exam", |
| "origin": "cais/hle", |
| "covers": "Humanity's Last Exam text-only original MC items.", |
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| "prepared_examples": 0 |
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| { |
| "id": "chessbench", |
| "title": "ChessBench", |
| "group": "Game reasoning", |
| "origin": "storage.googleapis.com/searchless_chess (action_value bags)", |
| "covers": "Best legal move among candidates for a FEN.", |
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| { |
| "id": "forecastbench", |
| "title": "ForecastBench", |
| "group": "Forecasting", |
| "origin": "forecastingresearch/forecastbench-datasets", |
| "covers": "Binary event forecasts from frozen pre-resolution context.", |
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| "id": "finentity", |
| "title": "FinEntity", |
| "group": "Financial sentiment", |
| "origin": "yixuantt/FinEntity", |
| "covers": "Entity-conditioned financial sentiment (pos/neg/neu).", |
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| "train": 1787, |
| "dev": 198 |
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| "examples": 1985, |
| "packed": true, |
| "prepared_examples": 1985 |
| }, |
| { |
| "id": "isarcasm", |
| "title": "iSarcasmEval", |
| "group": "Sarcasm detection", |
| "origin": "iabufarha/iSarcasmEval", |
| "covers": "English sarcasm detection (track A).", |
| "notes": "", |
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| "train": 4705, |
| "dev": 139 |
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| "examples": 4844, |
| "packed": true, |
| "prepared_examples": 4844 |
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| { |
| "id": "vast", |
| "title": "VAST", |
| "group": "Stance classification", |
| "origin": "emilyallaway/zero-shot-stance", |
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| "train": 10616, |
| "dev": 1432 |
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| "id": "nli4ct", |
| "title": "NLI4CT", |
| "group": "Semantics and inference", |
| "origin": "ai-systems/Task-2-SemEval-2024", |
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| "train": 6629, |
| "dev": 747 |
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| { |
| "id": "acos", |
| "title": "ACOS", |
| "group": "Aspect and sentiment classification", |
| "origin": "NUSTM/ACOS", |
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| "train": 10777, |
| "dev": 1194 |
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| "id": "amazon_esci", |
| "title": "Amazon ESCI", |
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| "origin": "tasksource/esci or amazon-science/esci-data", |
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| "train": 46864, |
| "dev": 794 |
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| "examples": 47658, |
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| "id": "ragtruth", |
| "title": "RAGTruth", |
| "group": "Factuality detection", |
| "origin": "wandb/RAGTruth-processed", |
| "covers": "Detect hallucinated spans in RAG answers.", |
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| "train": 17453, |
| "dev": 269 |
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| "prepared_examples": 17722 |
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| { |
| "id": "bright", |
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| "group": "Search relevance", |
| "origin": "xlangai/BRIGHT", |
| "covers": "Hard reasoning retrieval: pick helpful doc among candidates.", |
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| "train": 843, |
| "dev": 94 |
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| "prepared_examples": 937 |
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| "id": "hover", |
| "title": "HoVer", |
| "group": "Fact verification", |
| "origin": "vincentkoc/hover-parquet", |
| "covers": "Multi-hop claim verification (supported / not).", |
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| "train": 6847, |
| "dev": 4043 |
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| "id": "phishnchips", |
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| "group": "Security classification", |
| "origin": "AreLit/PhishNChips", |
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| "dev": 101 |
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| "origin": "gorilla-llm/gorilla berkeley-function-call-leaderboard", |
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| "id": "toolret", |
| "title": "ToolRet", |
| "group": "Tool use", |
| "origin": "mangopy/ToolRet-Queries", |
| "covers": "Pick the most useful tool for a request among candidates.", |
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| "id": "api_bank", |
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| "origin": "liminghao1630/API-Bank", |
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| "dev": 53 |
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| "id": "routerbench", |
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| "group": "Model routing", |
| "origin": "withmartian/routerbench", |
| "covers": "Route a prompt to the best of several candidate models.", |
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| "id": "when2call", |
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| "origin": "nvidia/When2Call", |
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| "id": "home_appliance", |
| "title": "Home appliance simulator", |
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| "id": "bpomp", |
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| "id": "humicroedit", |
| "title": "Humicroedit", |
| "group": "Humor and language", |
| "origin": "cs.rochester.edu humicroedit SemEval-2020 task-7", |
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| "id": "pop909_cl", |
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| "origin": "AndyWeasley2004/POP909-CL-Dataset", |
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| "id": "habermas", |
| "title": "Habermas Machine", |
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| "train": 7263, |
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| "id": "new_yorker", |
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| "dev": 1034 |
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| "origin": "nyu-mll/glue:sst2", |
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| "dev": 872 |
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| "id": "glue_mrpc", |
| "title": "GLUE MRPC", |
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| "origin": "nyu-mll/glue:mrpc", |
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| "dev": 408 |
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| { |
| "id": "glue_stsb", |
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| "origin": "nyu-mll/glue:stsb", |
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| "dev": 1498 |
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| { |
| "id": "glue_qqp", |
| "title": "GLUE QQP", |
| "group": "Semantic similarity", |
| "origin": "nyu-mll/glue:qqp", |
| "covers": "Duplicate-question detection.", |
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| { |
| "id": "glue_mnli", |
| "title": "GLUE MNLI", |
| "group": "Semantics and inference", |
| "origin": "nyu-mll/glue:mnli", |
| "covers": "Three-way NLI (entailment / neutral / contradiction).", |
| "notes": "Overlaps Certo multinli family.", |
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| { |
| "id": "glue_qnli", |
| "title": "GLUE QNLI", |
| "group": "Semantics and inference", |
| "origin": "nyu-mll/glue:qnli", |
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| "train": 104721, |
| "dev": 5463 |
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| { |
| "id": "glue_rte", |
| "title": "GLUE RTE", |
| "group": "Semantics and inference", |
| "origin": "nyu-mll/glue:rte", |
| "covers": "Binary textual entailment.", |
| "notes": "", |
| "availability": "included", |
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| "dev": 277 |
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| "examples": 2765, |
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| { |
| "id": "glue_wnli", |
| "title": "GLUE WNLI", |
| "group": "Semantics and inference", |
| "origin": "nyu-mll/glue:wnli", |
| "covers": "Winograd-style entailment pairs.", |
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| "dev": 71 |
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| "examples": 706, |
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| { |
| "id": "sg_boolq", |
| "title": "SuperGLUE BoolQ", |
| "group": "Reading comprehension", |
| "origin": "aps/super_glue:boolq", |
| "covers": "Yes/no reading comprehension over a passage.", |
| "notes": "Overlaps Certo boolq; kept for SuperGLUE completeness.", |
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| "dev": 3270 |
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| "examples": 12697, |
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| { |
| "id": "sg_cb", |
| "title": "SuperGLUE CommitmentBank", |
| "group": "Semantics and inference", |
| "origin": "aps/super_glue:cb", |
| "covers": "Three-way commitment / NLI over short premises.", |
| "notes": "", |
| "availability": "included", |
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| "train": 250, |
| "dev": 56 |
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| "examples": 306, |
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| { |
| "id": "sg_copa", |
| "title": "SuperGLUE COPA", |
| "group": "Causal reasoning", |
| "origin": "aps/super_glue:copa", |
| "covers": "Choose the more plausible cause or effect.", |
| "notes": "", |
| "availability": "included", |
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| "train": 400, |
| "dev": 100 |
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| "examples": 500, |
| "packed": true, |
| "prepared_examples": 500 |
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| { |
| "id": "sg_multirc", |
| "title": "SuperGLUE MultiRC", |
| "group": "Reading comprehension", |
| "origin": "aps/super_glue:multirc", |
| "covers": "Is a candidate answer correct for a multi-sentence question?", |
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| "availability": "included", |
| "examples_by_split": { |
| "train": 27185, |
| "dev": 4843 |
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| "examples": 32028, |
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| { |
| "id": "sg_record", |
| "title": "SuperGLUE ReCoRD", |
| "group": "Reading comprehension", |
| "origin": "aps/super_glue:record", |
| "covers": "Cloze entity fill from a candidate entity set.", |
| "notes": "Options sampled from the entity set when it is larger than 8.", |
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| "examples_by_split": { |
| "train": 100658, |
| "dev": 9998 |
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| "examples": 110656, |
| "packed": true, |
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| { |
| "id": "sg_rte", |
| "title": "SuperGLUE RTE", |
| "group": "Semantics and inference", |
| "origin": "aps/super_glue:rte", |
| "covers": "Binary textual entailment (SuperGLUE split).", |
| "notes": "", |
| "availability": "included", |
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| "dev": 6 |
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| "examples": 76, |
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| { |
| "id": "sg_wic", |
| "title": "SuperGLUE WiC", |
| "group": "Lexical semantics", |
| "origin": "aps/super_glue:wic", |
| "covers": "Word-in-context same-sense decision.", |
| "notes": "", |
| "availability": "included", |
| "examples_by_split": { |
| "train": 5428, |
| "dev": 638 |
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| "examples": 6066, |
| "packed": true, |
| "prepared_examples": 6066 |
| }, |
| { |
| "id": "sg_wsc", |
| "title": "SuperGLUE WSC", |
| "group": "Coreference resolution", |
| "origin": "aps/super_glue:wsc.fixed", |
| "covers": "Winograd schema coreference (span refers?).", |
| "notes": "", |
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| "train": 512, |
| "dev": 94 |
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| "examples": 606, |
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| "prepared_examples": 606 |
| }, |
| { |
| "id": "sg_axb", |
| "title": "SuperGLUE AX-b", |
| "group": "Semantics and inference", |
| "origin": "aps/super_glue:axb", |
| "covers": "Broad diagnostic entailment pairs (labeled test).", |
| "notes": "Packed as pool from the labeled test diagnostic.", |
| "availability": "included", |
| "examples_by_split": { |
| "train": 990, |
| "dev": 110 |
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| "examples": 1100, |
| "packed": true, |
| "prepared_examples": 1100 |
| }, |
| { |
| "id": "sg_axg", |
| "title": "SuperGLUE AX-g", |
| "group": "Semantics and inference", |
| "origin": "aps/super_glue:axg", |
| "covers": "Gender diagnostic entailment pairs (labeled test).", |
| "notes": "Packed as pool from the labeled test diagnostic.", |
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| "train": 320, |
| "dev": 36 |
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| "examples": 356, |
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| } |
| ], |
| "task_groups": { |
| "bev_decision": "Decision-making", |
| "domain_decisions": "Policy", |
| "go_emotions": "Emotion classification", |
| "executable_policies": "Policy", |
| "multinli": "Semantics and inference", |
| "dbpedia14": "Topic classification", |
| "known_posterior": "Probability and belief", |
| "clinc150": "Intent classification", |
| "boolq": "Reading comprehension", |
| "arc_easy": "Exam", |
| "sat_analogies": "Exam", |
| "mmlu_high_school": "Exam", |
| "race": "Reading comprehension", |
| "sata_bench": "Multi-step reasoning", |
| "mmlu_pro": "Exam", |
| "gpqa": "Exam", |
| "musr": "Multi-step reasoning", |
| "reclor": "Exam", |
| "logiqa": "Exam", |
| "agieval": "Exam", |
| "arc_challenge": "Exam", |
| "bbh": "Reasoning benchmark", |
| "bigbench": "Reasoning benchmark", |
| "banking77": "Intent classification", |
| "gsm8k": "Mathematical reasoning", |
| "winogrande": "Commonsense reasoning", |
| "hellaswag": "Commonsense reasoning", |
| "anli": "Semantics and inference", |
| "contract_nli": "Semantics and inference", |
| "mmlu_full": "Exam", |
| "cladder": "Causal reasoning", |
| "cruxeval": "Code reasoning", |
| "hle": "Exam", |
| "chessbench": "Game reasoning", |
| "forecastbench": "Forecasting", |
| "finentity": "Financial sentiment", |
| "isarcasm": "Sarcasm detection", |
| "vast": "Stance classification", |
| "nli4ct": "Semantics and inference", |
| "acos": "Aspect and sentiment classification", |
| "amazon_esci": "Search relevance", |
| "ragtruth": "Factuality detection", |
| "bright": "Search relevance", |
| "hover": "Fact verification", |
| "sgd": "Dialogue intent classification", |
| "phishnchips": "Security classification", |
| "bfcl": "Tool use", |
| "toolret": "Tool use", |
| "api_bank": "Tool use", |
| "routerbench": "Model routing", |
| "when2call": "Tool use", |
| "home_appliance": "Tool use", |
| "bpomp": "Humor and language", |
| "humicroedit": "Humor and language", |
| "pop909_cl": "Music understanding", |
| "habermas": "Group preference", |
| "new_yorker": "Humor and language", |
| "glue_cola": "Grammar and acceptability", |
| "glue_sst2": "Sentiment classification", |
| "glue_mrpc": "Semantics and inference", |
| "glue_stsb": "Semantic similarity", |
| "glue_qqp": "Semantic similarity", |
| "glue_mnli": "Semantics and inference", |
| "glue_qnli": "Semantics and inference", |
| "glue_rte": "Semantics and inference", |
| "glue_wnli": "Semantics and inference", |
| "sg_boolq": "Reading comprehension", |
| "sg_cb": "Semantics and inference", |
| "sg_copa": "Causal reasoning", |
| "sg_multirc": "Reading comprehension", |
| "sg_record": "Reading comprehension", |
| "sg_rte": "Semantics and inference", |
| "sg_wic": "Lexical semantics", |
| "sg_wsc": "Coreference resolution", |
| "sg_axb": "Semantics and inference", |
| "sg_axg": "Semantics and inference" |
| }, |
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| "dataset_id": "ELBennett/big-decisions", |
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| "published_input": true |
| }, |
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| "certo", |
| "capacity", |
| "exam", |
| "suite-verified", |
| "suite-extra", |
| "banking77" |
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| }, |
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| }, |
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| "dataset_id": "avbiswas/bev-decision", |
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| } |
| }, |
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| "selected_out_before_conversion": [ |
| "cfcolor", |
| "chessbench", |
| "hle" |
| ] |
| }, |
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| "dev", |
| "test" |
| ], |
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| } |
| }, |
| "note": "HLE, ChessBench, and CFColor were excluded before conversion. Source identity, revision, config, split, and question keys are preserved in provenance.", |
| "schema_conversion": { |
| "from_schema_version": "2.0.0", |
| "question_type": "choice for every question", |
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| } |
| } |
| } |
|
|
