--- annotations_creators: - crowdsourced - expert-generated - machine-generated language_creators: - crowdsourced - expert-generated - machine-generated - other language: - en license: - apache-2.0 multilinguality: - multilingual - monolingual pretty_name: bigbench size_categories: - unknown source_datasets: - original task_categories: - multiple-choice - question-answering - text-classification - text-generation - zero-shot-classification - other task_ids: - multiple-choice-qa - extractive-qa - open-domain-qa - closed-domain-qa - fact-checking - acceptability-classification - intent-classification - multi-class-classification - multi-label-classification - text-scoring - hate-speech-detection - language-modeling dataset_info: - config_name: abstract_narrative_understanding features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 6574843 num_examples: 3000 - name: train num_bytes: 5261643 num_examples: 2400 - name: validation num_bytes: 1313224 num_examples: 600 download_size: 0 dataset_size: 13149710 - config_name: anachronisms features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 48937 num_examples: 230 - name: train num_bytes: 39209 num_examples: 184 - name: validation num_bytes: 9752 num_examples: 46 download_size: 0 dataset_size: 97898 - config_name: analogical_similarity features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1374163 num_examples: 323 - name: train num_bytes: 1101796 num_examples: 259 - name: validation num_bytes: 272391 num_examples: 64 download_size: 0 dataset_size: 2748350 - config_name: analytic_entailment features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 17367 num_examples: 70 - name: train num_bytes: 13413 num_examples: 54 - name: validation num_bytes: 3978 num_examples: 16 download_size: 0 dataset_size: 34758 - config_name: arithmetic features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 3848183 num_examples: 15023 - name: train num_bytes: 3078715 num_examples: 12019 - name: validation num_bytes: 769493 num_examples: 3004 download_size: 0 dataset_size: 7696391 - config_name: ascii_word_recognition features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 4985315 num_examples: 5000 - name: train num_bytes: 3997801 num_examples: 4000 - name: validation num_bytes: 987542 num_examples: 1000 download_size: 0 dataset_size: 9970658 - config_name: authorship_verification features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 14118946 num_examples: 880 - name: train num_bytes: 11288769 num_examples: 704 - name: validation num_bytes: 2830201 num_examples: 176 download_size: 0 dataset_size: 28237916 - config_name: auto_categorization features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 40618 num_examples: 328 - name: train num_bytes: 33053 num_examples: 263 - name: validation num_bytes: 7594 num_examples: 65 download_size: 0 dataset_size: 81265 - config_name: auto_debugging features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 5145 num_examples: 34 - name: train num_bytes: 2682 num_examples: 18 - name: validation num_bytes: 2491 num_examples: 16 download_size: 0 dataset_size: 10318 - config_name: bbq_lite_json features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 6898580 num_examples: 16076 - name: train num_bytes: 5515066 num_examples: 12866 - name: validation num_bytes: 1383539 num_examples: 3210 download_size: 0 dataset_size: 13797185 - config_name: bridging_anaphora_resolution_barqa features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1971124 num_examples: 648 - name: train num_bytes: 1537357 num_examples: 519 - name: validation num_bytes: 433796 num_examples: 129 download_size: 0 dataset_size: 3942277 - config_name: causal_judgment features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 204974 num_examples: 190 - name: train num_bytes: 165021 num_examples: 152 - name: validation num_bytes: 39977 num_examples: 38 download_size: 0 dataset_size: 409972 - config_name: cause_and_effect features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 49397 num_examples: 153 - name: train num_bytes: 39691 num_examples: 123 - name: validation num_bytes: 9730 num_examples: 30 download_size: 0 dataset_size: 98818 - config_name: checkmate_in_one features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 3140634 num_examples: 3498 - name: train num_bytes: 2516239 num_examples: 2799 - name: validation num_bytes: 624419 num_examples: 699 download_size: 0 dataset_size: 6281292 - config_name: chess_state_tracking features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 3270710 num_examples: 6000 - name: train num_bytes: 2616922 num_examples: 4800 - name: validation num_bytes: 653816 num_examples: 1200 download_size: 0 dataset_size: 6541448 - config_name: chinese_remainder_theorem features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 153313 num_examples: 500 - name: train num_bytes: 122679 num_examples: 400 - name: validation num_bytes: 30662 num_examples: 100 download_size: 0 dataset_size: 306654 - config_name: cifar10_classification features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 111049748 num_examples: 20000 - name: train num_bytes: 88804772 num_examples: 16000 - name: validation num_bytes: 22245000 num_examples: 4000 download_size: 0 dataset_size: 222099520 - config_name: code_line_description features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 33733 num_examples: 60 - name: train num_bytes: 25583 num_examples: 44 - name: validation num_bytes: 8174 num_examples: 16 download_size: 0 dataset_size: 67490 - config_name: codenames features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 25234 num_examples: 85 - name: train num_bytes: 20001 num_examples: 68 - name: validation num_bytes: 5262 num_examples: 17 download_size: 0 dataset_size: 50497 - config_name: color features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1638787 num_examples: 4000 - name: train num_bytes: 1311087 num_examples: 3200 - name: validation num_bytes: 327724 num_examples: 800 download_size: 0 dataset_size: 3277598 - config_name: common_morpheme features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 12444 num_examples: 50 - name: train num_bytes: 8490 num_examples: 34 - name: validation num_bytes: 3978 num_examples: 16 download_size: 0 dataset_size: 24912 - config_name: conceptual_combinations features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 58948 num_examples: 103 - name: train num_bytes: 48087 num_examples: 84 - name: validation num_bytes: 10886 num_examples: 19 download_size: 0 dataset_size: 117921 - config_name: conlang_translation features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 215239 num_examples: 164 - name: train num_bytes: 173069 num_examples: 132 - name: validation num_bytes: 42198 num_examples: 32 download_size: 0 dataset_size: 430506 - config_name: contextual_parametric_knowledge_conflicts features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 14594175 num_examples: 17528 - name: train num_bytes: 11671543 num_examples: 14023 - name: validation num_bytes: 2922658 num_examples: 3505 download_size: 0 dataset_size: 29188376 - config_name: crash_blossom features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 12242 num_examples: 38 - name: train num_bytes: 7037 num_examples: 22 - name: validation num_bytes: 5229 num_examples: 16 download_size: 0 dataset_size: 24508 - config_name: crass_ai features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 22922 num_examples: 44 - name: train num_bytes: 14172 num_examples: 28 - name: validation num_bytes: 8774 num_examples: 16 download_size: 0 dataset_size: 45868 - config_name: cryobiology_spanish features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 38754 num_examples: 146 - name: train num_bytes: 31198 num_examples: 117 - name: validation num_bytes: 7581 num_examples: 29 download_size: 0 dataset_size: 77533 - config_name: cryptonite features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 2847756 num_examples: 26157 - name: train num_bytes: 2278424 num_examples: 20926 - name: validation num_bytes: 569360 num_examples: 5231 download_size: 0 dataset_size: 5695540 - config_name: cs_algorithms features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 273274 num_examples: 1320 - name: train num_bytes: 218868 num_examples: 1056 - name: validation num_bytes: 54430 num_examples: 264 download_size: 0 dataset_size: 546572 - config_name: dark_humor_detection features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 26610 num_examples: 80 - name: train num_bytes: 21315 num_examples: 64 - name: validation num_bytes: 5319 num_examples: 16 download_size: 0 dataset_size: 53244 - config_name: date_understanding features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 95249 num_examples: 369 - name: train num_bytes: 76443 num_examples: 296 - name: validation num_bytes: 18831 num_examples: 73 download_size: 0 dataset_size: 190523 - config_name: disambiguation_qa features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 122626 num_examples: 258 - name: train num_bytes: 98815 num_examples: 207 - name: validation num_bytes: 23835 num_examples: 51 download_size: 0 dataset_size: 245276 - config_name: discourse_marker_prediction features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 2091888 num_examples: 857 - name: train num_bytes: 1667020 num_examples: 686 - name: validation num_bytes: 424892 num_examples: 171 download_size: 0 dataset_size: 4183800 - config_name: disfl_qa features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 7965803 num_examples: 8000 - name: train num_bytes: 6377339 num_examples: 6400 - name: validation num_bytes: 1588492 num_examples: 1600 download_size: 0 dataset_size: 15931634 - config_name: dyck_languages features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1238565 num_examples: 1000 - name: train num_bytes: 991204 num_examples: 800 - name: validation num_bytes: 247385 num_examples: 200 download_size: 0 dataset_size: 2477154 - config_name: elementary_math_qa features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 13471291 num_examples: 38160 - name: train num_bytes: 10789985 num_examples: 30531 - name: validation num_bytes: 2681331 num_examples: 7629 download_size: 0 dataset_size: 26942607 - config_name: emoji_movie features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 33767 num_examples: 100 - name: train num_bytes: 27071 num_examples: 80 - name: validation num_bytes: 6720 num_examples: 20 download_size: 0 dataset_size: 67558 - config_name: emojis_emotion_prediction features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 48155 num_examples: 131 - name: train num_bytes: 38601 num_examples: 105 - name: validation num_bytes: 9579 num_examples: 26 download_size: 0 dataset_size: 96335 - config_name: empirical_judgments features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 47574 num_examples: 99 - name: train num_bytes: 38410 num_examples: 80 - name: validation num_bytes: 9188 num_examples: 19 download_size: 0 dataset_size: 95172 - config_name: english_proverbs features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 22577 num_examples: 34 - name: train num_bytes: 12103 num_examples: 18 - name: validation num_bytes: 10499 num_examples: 16 download_size: 0 dataset_size: 45179 - config_name: english_russian_proverbs features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 59974 num_examples: 80 - name: train num_bytes: 48115 num_examples: 64 - name: validation num_bytes: 11883 num_examples: 16 download_size: 0 dataset_size: 119972 - config_name: entailed_polarity features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 25501 num_examples: 148 - name: train num_bytes: 20419 num_examples: 119 - name: validation num_bytes: 5107 num_examples: 29 download_size: 0 dataset_size: 51027 - config_name: entailed_polarity_hindi features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 57129 num_examples: 138 - name: train num_bytes: 45895 num_examples: 111 - name: validation num_bytes: 11258 num_examples: 27 download_size: 0 dataset_size: 114282 - config_name: epistemic_reasoning features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 887932 num_examples: 2000 - name: train num_bytes: 710731 num_examples: 1600 - name: validation num_bytes: 177225 num_examples: 400 download_size: 0 dataset_size: 1775888 - config_name: evaluating_information_essentiality features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 77564 num_examples: 68 - name: train num_bytes: 59660 num_examples: 52 - name: validation num_bytes: 17928 num_examples: 16 download_size: 0 dataset_size: 155152 - config_name: fact_checker features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1340092 num_examples: 7154 - name: train num_bytes: 1072921 num_examples: 5724 - name: validation num_bytes: 267195 num_examples: 1430 download_size: 0 dataset_size: 2680208 - config_name: fantasy_reasoning features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 75987 num_examples: 201 - name: train num_bytes: 61484 num_examples: 161 - name: validation num_bytes: 14527 num_examples: 40 download_size: 0 dataset_size: 151998 - config_name: few_shot_nlg features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 75985 num_examples: 153 - name: train num_bytes: 61906 num_examples: 123 - name: validation num_bytes: 14107 num_examples: 30 download_size: 0 dataset_size: 151998 - config_name: figure_of_speech_detection features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 21823 num_examples: 59 - name: train num_bytes: 16046 num_examples: 43 - name: validation num_bytes: 5801 num_examples: 16 download_size: 0 dataset_size: 43670 - config_name: formal_fallacies_syllogisms_negation features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 8320026 num_examples: 14200 - name: train num_bytes: 6657263 num_examples: 11360 - name: validation num_bytes: 1662787 num_examples: 2840 download_size: 0 dataset_size: 16640076 - config_name: gem features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 36067188 num_examples: 14802 - name: train num_bytes: 28821034 num_examples: 11845 - name: validation num_bytes: 7246182 num_examples: 2957 download_size: 0 dataset_size: 72134404 - config_name: gender_inclusive_sentences_german features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 126934 num_examples: 200 - name: train num_bytes: 100676 num_examples: 160 - name: validation num_bytes: 26286 num_examples: 40 download_size: 0 dataset_size: 253896 - config_name: general_knowledge features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 21928 num_examples: 70 - name: train num_bytes: 16900 num_examples: 54 - name: validation num_bytes: 5052 num_examples: 16 download_size: 0 dataset_size: 43880 - config_name: geometric_shapes features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 180621 num_examples: 359 - name: train num_bytes: 145030 num_examples: 288 - name: validation num_bytes: 35616 num_examples: 71 download_size: 0 dataset_size: 361267 - config_name: goal_step_wikihow features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 3571273 num_examples: 7053 - name: train num_bytes: 2856803 num_examples: 5643 - name: validation num_bytes: 714495 num_examples: 1410 download_size: 0 dataset_size: 7142571 - config_name: gre_reading_comprehension features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 94319 num_examples: 31 - name: train num_bytes: 44493 num_examples: 15 - name: validation num_bytes: 49850 num_examples: 16 download_size: 0 dataset_size: 188662 - config_name: hhh_alignment features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 273006 num_examples: 221 - name: train num_bytes: 212580 num_examples: 179 - name: validation num_bytes: 60451 num_examples: 42 download_size: 0 dataset_size: 546037 - config_name: hindi_question_answering features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 15155809 num_examples: 6610 - name: train num_bytes: 11984526 num_examples: 5288 - name: validation num_bytes: 3171311 num_examples: 1322 download_size: 0 dataset_size: 30311646 - config_name: hindu_knowledge features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 44227 num_examples: 175 - name: train num_bytes: 35505 num_examples: 140 - name: validation num_bytes: 8747 num_examples: 35 download_size: 0 dataset_size: 88479 - config_name: hinglish_toxicity features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 60712 num_examples: 200 - name: train num_bytes: 50081 num_examples: 160 - name: validation num_bytes: 10655 num_examples: 40 download_size: 0 dataset_size: 121448 - config_name: human_organs_senses features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 7995 num_examples: 42 - name: train num_bytes: 4914 num_examples: 26 - name: validation num_bytes: 3105 num_examples: 16 download_size: 0 dataset_size: 16014 - config_name: hyperbaton features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 9402856 num_examples: 50000 - name: train num_bytes: 7524430 num_examples: 40000 - name: validation num_bytes: 1878426 num_examples: 10000 download_size: 0 dataset_size: 18805712 - config_name: identify_math_theorems features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 104899 num_examples: 53 - name: train num_bytes: 70343 num_examples: 37 - name: validation num_bytes: 34581 num_examples: 16 download_size: 0 dataset_size: 209823 - config_name: identify_odd_metaphor features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 27658 num_examples: 47 - name: train num_bytes: 18183 num_examples: 31 - name: validation num_bytes: 9499 num_examples: 16 download_size: 0 dataset_size: 55340 - config_name: implicatures features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 91892 num_examples: 492 - name: train num_bytes: 73589 num_examples: 394 - name: validation num_bytes: 18329 num_examples: 98 download_size: 0 dataset_size: 183810 - 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config_name: reasoning_about_colored_objects features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 912440 num_examples: 2000 - name: train num_bytes: 733608 num_examples: 1600 - name: validation num_bytes: 178857 num_examples: 400 download_size: 0 dataset_size: 1824905 - config_name: repeat_copy_logic features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 6710 num_examples: 32 - name: train num_bytes: 3357 num_examples: 16 - name: validation num_bytes: 3381 num_examples: 16 download_size: 0 dataset_size: 13448 - config_name: rephrase features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - 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config_name: salient_translation_error_detection features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1142524 num_examples: 998 - name: train num_bytes: 913543 num_examples: 799 - name: validation num_bytes: 229006 num_examples: 199 download_size: 0 dataset_size: 2285073 - config_name: scientific_press_release features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 13725 num_examples: 50 - name: train num_bytes: 9287 num_examples: 34 - name: validation num_bytes: 4466 num_examples: 16 download_size: 0 dataset_size: 27478 - config_name: semantic_parsing_in_context_sparc features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1525025 num_examples: 1155 - name: train num_bytes: 1248535 num_examples: 924 - name: validation num_bytes: 276518 num_examples: 231 download_size: 0 dataset_size: 3050078 - config_name: semantic_parsing_spider features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1265902 num_examples: 1034 - name: train num_bytes: 973996 num_examples: 828 - name: validation num_bytes: 291934 num_examples: 206 download_size: 0 dataset_size: 2531832 - config_name: sentence_ambiguity features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 8215 num_examples: 60 - name: train num_bytes: 6017 num_examples: 44 - name: validation num_bytes: 2222 num_examples: 16 download_size: 0 dataset_size: 16454 - config_name: similarities_abstraction features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 23490 num_examples: 76 - name: train num_bytes: 18609 num_examples: 60 - name: validation num_bytes: 4906 num_examples: 16 download_size: 0 dataset_size: 47005 - config_name: simp_turing_concept features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1018473 num_examples: 6390 - name: train num_bytes: 813887 num_examples: 5112 - name: validation num_bytes: 204614 num_examples: 1278 download_size: 0 dataset_size: 2036974 - config_name: simple_arithmetic_json features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1177 num_examples: 30 - name: train num_bytes: 570 num_examples: 14 - name: validation num_bytes: 635 num_examples: 16 download_size: 0 dataset_size: 2382 - config_name: simple_arithmetic_json_multiple_choice features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 953 num_examples: 8 - name: train - name: validation download_size: 0 dataset_size: 953 - config_name: simple_arithmetic_json_subtasks features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1177 num_examples: 30 - name: train num_bytes: 601 num_examples: 15 - name: validation num_bytes: 604 num_examples: 15 download_size: 0 dataset_size: 2382 - config_name: simple_arithmetic_multiple_targets_json features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 444 num_examples: 10 - name: train - name: validation download_size: 0 dataset_size: 444 - config_name: simple_ethical_questions features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 76615 num_examples: 115 - name: train num_bytes: 60357 num_examples: 92 - name: validation num_bytes: 16282 num_examples: 23 download_size: 0 dataset_size: 153254 - config_name: simple_text_editing features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 27899 num_examples: 47 - name: train num_bytes: 18501 num_examples: 31 - name: validation num_bytes: 9426 num_examples: 16 download_size: 0 dataset_size: 55826 - config_name: snarks features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 45810 num_examples: 181 - name: train num_bytes: 37069 num_examples: 145 - name: validation num_bytes: 8766 num_examples: 36 download_size: 0 dataset_size: 91645 - config_name: social_iqa features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 644154 num_examples: 1935 - name: train num_bytes: 516485 num_examples: 1548 - name: validation num_bytes: 127694 num_examples: 387 download_size: 0 dataset_size: 1288333 - config_name: social_support features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 367179 num_examples: 897 - name: train num_bytes: 295177 num_examples: 718 - name: validation num_bytes: 72027 num_examples: 179 download_size: 0 dataset_size: 734383 - config_name: sports_understanding features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 227049 num_examples: 986 - name: train num_bytes: 181649 num_examples: 789 - name: validation num_bytes: 45425 num_examples: 197 download_size: 0 dataset_size: 454123 - config_name: strange_stories features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 120620 num_examples: 174 - name: train num_bytes: 98157 num_examples: 140 - name: validation num_bytes: 22489 num_examples: 34 download_size: 0 dataset_size: 241266 - config_name: strategyqa features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 660851 num_examples: 2289 - name: train num_bytes: 528381 num_examples: 1832 - name: validation num_bytes: 132494 num_examples: 457 download_size: 0 dataset_size: 1321726 - config_name: sufficient_information features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 9458 num_examples: 39 - name: train num_bytes: 5625 num_examples: 23 - name: validation num_bytes: 3861 num_examples: 16 download_size: 0 dataset_size: 18944 - config_name: suicide_risk features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 38001 num_examples: 40 - name: train num_bytes: 23106 num_examples: 24 - name: validation num_bytes: 14919 num_examples: 16 download_size: 0 dataset_size: 76026 - config_name: swahili_english_proverbs features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 90367 num_examples: 153 - name: train num_bytes: 72569 num_examples: 123 - name: validation num_bytes: 17822 num_examples: 30 download_size: 0 dataset_size: 180758 - config_name: swedish_to_german_proverbs features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 35273 num_examples: 72 - name: train num_bytes: 27325 num_examples: 56 - name: validation num_bytes: 7972 num_examples: 16 download_size: 0 dataset_size: 70570 - config_name: symbol_interpretation features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1149725 num_examples: 990 - name: train num_bytes: 927947 num_examples: 795 - name: validation num_bytes: 221803 num_examples: 195 download_size: 0 dataset_size: 2299475 - config_name: temporal_sequences features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 687735 num_examples: 1000 - name: train num_bytes: 550332 num_examples: 800 - name: validation num_bytes: 137427 num_examples: 200 download_size: 0 dataset_size: 1375494 - config_name: tense features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 43946 num_examples: 286 - name: train num_bytes: 35523 num_examples: 229 - name: validation num_bytes: 8452 num_examples: 57 download_size: 0 dataset_size: 87921 - config_name: timedial features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 2764478 num_examples: 2550 - name: train num_bytes: 2218234 num_examples: 2040 - name: validation num_bytes: 546268 num_examples: 510 download_size: 0 dataset_size: 5528980 - config_name: topical_chat features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 30930629 num_examples: 22295 - name: train num_bytes: 24829540 num_examples: 17836 - name: validation num_bytes: 6101090 num_examples: 4459 download_size: 0 dataset_size: 61861259 - config_name: tracking_shuffled_objects features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 2779059 num_examples: 3750 - name: train num_bytes: 2226511 num_examples: 3000 - name: validation num_bytes: 552572 num_examples: 750 download_size: 0 dataset_size: 5558142 - config_name: understanding_fables features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 227915 num_examples: 189 - name: train num_bytes: 181138 num_examples: 152 - name: validation num_bytes: 46801 num_examples: 37 download_size: 0 dataset_size: 455854 - config_name: undo_permutation features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 196443 num_examples: 300 - name: train num_bytes: 158827 num_examples: 240 - name: validation num_bytes: 37641 num_examples: 60 download_size: 0 dataset_size: 392911 - config_name: unit_conversion features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 4040317 num_examples: 23936 - name: train num_bytes: 3239699 num_examples: 19151 - name: validation num_bytes: 800619 num_examples: 4785 download_size: 0 dataset_size: 8080635 - config_name: unit_interpretation features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 37463 num_examples: 100 - name: train num_bytes: 30023 num_examples: 80 - name: validation num_bytes: 7464 num_examples: 20 download_size: 0 dataset_size: 74950 - config_name: unnatural_in_context_learning features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 4609162 num_examples: 73420 - name: train num_bytes: 3687332 num_examples: 58736 - name: validation num_bytes: 921830 num_examples: 14684 download_size: 0 dataset_size: 9218324 - config_name: vitaminc_fact_verification features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 32389297 num_examples: 54668 - name: train num_bytes: 25911838 num_examples: 43735 - name: validation num_bytes: 6477483 num_examples: 10933 download_size: 0 dataset_size: 64778618 - config_name: what_is_the_tao features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 13306 num_examples: 36 - name: train num_bytes: 7467 num_examples: 20 - name: validation num_bytes: 5863 num_examples: 16 download_size: 0 dataset_size: 26636 - config_name: which_wiki_edit features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 6332065 num_examples: 571 - name: train num_bytes: 5234181 num_examples: 457 - name: validation num_bytes: 1097909 num_examples: 114 download_size: 0 dataset_size: 12664155 - config_name: winowhy features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 1003532 num_examples: 2862 - name: train num_bytes: 801404 num_examples: 2290 - name: validation num_bytes: 202153 num_examples: 572 download_size: 0 dataset_size: 2007089 - config_name: word_sorting features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 491320 num_examples: 1900 - name: train num_bytes: 392956 num_examples: 1520 - name: validation num_bytes: 98392 num_examples: 380 download_size: 0 dataset_size: 982668 - config_name: word_unscrambling features: - name: idx dtype: int32 - name: inputs dtype: string - name: targets sequence: string - name: multiple_choice_targets sequence: string - name: multiple_choice_scores sequence: int32 splits: - name: default num_bytes: 883507 num_examples: 8917 - name: train num_bytes: 706675 num_examples: 7134 - name: validation num_bytes: 176860 num_examples: 1783 download_size: 0 dataset_size: 1767042 --- # Dataset Card for BIG-bench ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage/Repository:** [https://github.com/google/BIG-bench](https://github.com/google/BIG-bench) - **Paper:** [Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models](https://arxiv.org/abs/2206.04615) - **Leaderboard:** - **Point of Contact:** [bigbench@googlegroups.com](mailto:bigbench@googlegroups.com) ### Dataset Summary The Beyond the Imitation Game Benchmark (BIG-bench) is a collaborative benchmark intended to probe large language models and extrapolate their future capabilities. Tasks included in BIG-bench are summarized by keyword [here](https://github.com/google/BIG-bench/blob/main/bigbench/benchmark_tasks/keywords_to_tasks.md), and by task name [here](https://github.com/google/BIG-bench/blob/main/bigbench/benchmark_tasks/README.md). A paper introducing the benchmark, including evaluation results on large language models, is currently in preparation. ### Supported Tasks and Leaderboards BIG-Bench consists of both json and programmatic tasks. This implementation in HuggingFace datasets implements - 24 BIG-bench Lite tasks - 167 BIG-bench json tasks (includes BIG-bench Lite) To study the remaining programmatic tasks, please see the [BIG-bench GitHub repo](https://github.com/google/BIG-bench) ### Languages Although predominantly English, BIG-bench contains tasks in over 1000 written languages, as well as some synthetic and programming languages. See [BIG-bench organized by keywords](https://github.com/google/BIG-bench/blob/main/bigbench/benchmark_tasks/keywords_to_tasks.md). Relevant keywords include `multilingual`, `non-english`, `low-resource-language`, `translation`. For tasks specifically targeting low-resource languages, see the table below: Task Name | Languages | --|--| Conlang Translation Problems | English, German, Finnish, Abma, Apinayé, Inapuri, Ndebele, Palauan| Kannada Riddles | Kannada| Language Identification | 1000 languages | Swahili English Proverbs | Swahili | Which Wiki Edit | English, Russian, Spanish, German, French, Turkish, Japanese, Vietnamese, Chinese, Arabic, Norwegian, Tagalog| ## Dataset Structure ### Data Instances Each dataset contains 5 features. For example an instance from the `emoji_movie` task is: ``` { "idx": 0, "inputs": "Q: What movie does this emoji describe? 👦👓⚡️\n choice: harry potter\n. choice: shutter island\n. choice: inglourious basterds\n. choice: die hard\n. choice: moonlight\nA:" "targets": ["harry potter"], "multiple_choice_targets":["harry potter", "shutter island", "die hard", "inglourious basterds", "moonlight"], "multiple_choice_scores": [1, 0, 0, 0, 0] } ``` For tasks that do not have multiple choice targets, the lists are empty. ### Data Fields Every example has the following fields - `idx`: an `int` feature - `inputs`: a `string` feature - `targets`: a sequence of `string` feature - `multiple_choice_targets`: a sequence of `string` features - `multiple_choice_scores`: a sequence of `int` features ### Data Splits Each task has a `default`, `train` and `validation` split. The split `default` uses all the samples for each task (and it's the same as `all` used in the `bigbench.bbseqio` implementation.) For standard evaluation on BIG-bench, we recommend using the `default` split, and the `train` and `validation` split is to be used if one wants to train a model on BIG-bench. ## Dataset Creation BIG-bench tasks were collaboratively submitted through GitHub pull requests. Each task went through a review and meta-review process with criteria outlined in the [BIG-bench repository documentation](https://github.com/google/BIG-bench/blob/main/docs/doc.md#submission-review-process). Each task was required to describe the data source and curation methods on the task README page. ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data BIG-bench contains a wide range of tasks, some of which are sensitive and should be used with care. Some tasks are specifically designed to test biases and failures common to large language models, and so may elicit inappropriate or harmful responses. For a more thorough discussion see the [BIG-bench paper](in progress). To view tasks designed to probe pro-social behavior, including alignment, social, racial, gender, religious or political bias; toxicity; inclusion; and other issues please see tasks under the [pro-social behavior keywords](https://github.com/google/BIG-bench/blob/main/bigbench/benchmark_tasks/keywords_to_tasks.md#pro-social-behavior) on the BIG-bench repository. ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information For a more thorough discussion of all aspects of BIG-bench including dataset creation and evaluations see the BIG-bench repository [https://github.com/google/BIG-bench](https://github.com/google/BIG-bench) and paper [] ### Dataset Curators [More Information Needed] ### Licensing Information [Apache License 2.0](https://github.com/google/BIG-bench/blob/main/LICENSE) ### Citation Information ``` @misc{https://doi.org/10.48550/arxiv.2206.04615, doi = {10.48550/ARXIV.2206.04615}, url = {https://arxiv.org/abs/2206.04615}, author = {Srivastava, Aarohi and Rastogi, Abhinav and Rao, Abhishek and Shoeb, Abu Awal Md and Abid, Abubakar and Fisch, Adam and Brown, Adam R. and Santoro, Adam and Gupta, Aditya and Garriga-Alonso, Adrià and Kluska, Agnieszka and Lewkowycz, Aitor and Agarwal, Akshat and Power, Alethea and Ray, Alex and Warstadt, Alex and Kocurek, Alexander W. and Safaya, Ali and Tazarv, Ali and Xiang, Alice and Parrish, Alicia and Nie, Allen and Hussain, Aman and Askell, Amanda and Dsouza, Amanda and Slone, Ambrose and Rahane, Ameet and Iyer, Anantharaman S. and Andreassen, Anders and Madotto, Andrea and Santilli, Andrea and Stuhlmüller, Andreas and Dai, Andrew and La, Andrew and Lampinen, Andrew and Zou, Andy and Jiang, Angela and Chen, Angelica and Vuong, Anh and Gupta, Animesh and Gottardi, Anna and Norelli, Antonio and Venkatesh, Anu and Gholamidavoodi, Arash and Tabassum, Arfa and Menezes, Arul and Kirubarajan, Arun and Mullokandov, Asher and Sabharwal, Ashish and Herrick, Austin and Efrat, Avia and Erdem, Aykut and Karakaş, Ayla and Roberts, B. Ryan and Loe, Bao Sheng and Zoph, Barret and Bojanowski, Bartłomiej and Özyurt, Batuhan and Hedayatnia, Behnam and Neyshabur, Behnam and Inden, Benjamin and Stein, Benno and Ekmekci, Berk and Lin, Bill Yuchen and Howald, Blake and Diao, Cameron and Dour, Cameron and Stinson, Catherine and Argueta, Cedrick and Ramírez, César Ferri and Singh, Chandan and Rathkopf, Charles and Meng, Chenlin and Baral, Chitta and Wu, Chiyu and Callison-Burch, Chris and Waites, Chris and Voigt, Christian and Manning, Christopher D. and Potts, Christopher and Ramirez, Cindy and Rivera, Clara E. and Siro, Clemencia and Raffel, Colin and Ashcraft, Courtney and Garbacea, Cristina and Sileo, Damien and Garrette, Dan and Hendrycks, Dan and Kilman, Dan and Roth, Dan and Freeman, Daniel and Khashabi, Daniel and Levy, Daniel and González, Daniel Moseguí and Perszyk, Danielle and Hernandez, Danny and Chen, Danqi and Ippolito, Daphne and Gilboa, Dar and Dohan, David and Drakard, David and Jurgens, David and Datta, Debajyoti and Ganguli, Deep and Emelin, Denis and Kleyko, Denis and Yuret, Deniz and Chen, Derek and Tam, Derek and Hupkes, Dieuwke and Misra, Diganta and Buzan, Dilyar and Mollo, Dimitri Coelho and Yang, Diyi and Lee, Dong-Ho and Shutova, Ekaterina and Cubuk, Ekin Dogus and Segal, Elad and Hagerman, Eleanor and Barnes, Elizabeth and Donoway, Elizabeth and Pavlick, Ellie and Rodola, Emanuele and Lam, Emma and Chu, Eric and Tang, Eric and Erdem, Erkut and Chang, Ernie and Chi, Ethan A. and Dyer, Ethan and Jerzak, Ethan and Kim, Ethan and Manyasi, Eunice Engefu and Zheltonozhskii, Evgenii and Xia, Fanyue and Siar, Fatemeh and Martínez-Plumed, Fernando and Happé, Francesca and Chollet, Francois and Rong, Frieda and Mishra, Gaurav and Winata, Genta Indra and de Melo, Gerard and Kruszewski, Germán and Parascandolo, Giambattista and Mariani, Giorgio and Wang, Gloria and Jaimovitch-López, Gonzalo and Betz, Gregor and Gur-Ari, Guy and Galijasevic, Hana and Kim, Hannah and Rashkin, Hannah and Hajishirzi, Hannaneh and Mehta, Harsh and Bogar, Hayden and Shevlin, Henry and Schütze, Hinrich and Yakura, Hiromu and Zhang, Hongming and Wong, Hugh Mee and Ng, Ian and Noble, Isaac and Jumelet, Jaap and Geissinger, Jack and Kernion, Jackson and Hilton, Jacob and Lee, Jaehoon and Fisac, Jaime Fernández and Simon, James B. and Koppel, James and Zheng, James and Zou, James and Kocoń, Jan and Thompson, Jana and Kaplan, Jared and Radom, Jarema and Sohl-Dickstein, Jascha and Phang, Jason and Wei, Jason and Yosinski, Jason and Novikova, Jekaterina and Bosscher, Jelle and Marsh, Jennifer and Kim, Jeremy and Taal, Jeroen and Engel, Jesse and Alabi, Jesujoba and Xu, Jiacheng and Song, Jiaming and Tang, Jillian and Waweru, Joan and Burden, John and Miller, John and Balis, John U. and Berant, Jonathan and Frohberg, Jörg and Rozen, Jos and Hernandez-Orallo, Jose and Boudeman, Joseph and Jones, Joseph and Tenenbaum, Joshua B. and Rule, Joshua S. and Chua, Joyce and Kanclerz, Kamil and Livescu, Karen and Krauth, Karl and Gopalakrishnan, Karthik and Ignatyeva, Katerina and Markert, Katja and Dhole, Kaustubh D. and Gimpel, Kevin and Omondi, Kevin and Mathewson, Kory and Chiafullo, Kristen and Shkaruta, Ksenia and Shridhar, Kumar and McDonell, Kyle and Richardson, Kyle and Reynolds, Laria and Gao, Leo and Zhang, Li and Dugan, Liam and Qin, Lianhui and Contreras-Ochando, Lidia and Morency, Louis-Philippe and Moschella, Luca and Lam, Lucas and Noble, Lucy and Schmidt, Ludwig and He, Luheng and Colón, Luis Oliveros and Metz, Luke and Şenel, Lütfi Kerem and Bosma, Maarten and Sap, Maarten and ter Hoeve, Maartje and Farooqi, Maheen and Faruqui, Manaal and Mazeika, Mantas and Baturan, Marco and Marelli, Marco and Maru, Marco and Quintana, Maria Jose Ramírez and Tolkiehn, Marie and Giulianelli, Mario and Lewis, Martha and Potthast, Martin and Leavitt, Matthew L. and Hagen, Matthias and Schubert, Mátyás and Baitemirova, Medina Orduna and Arnaud, Melody and McElrath, Melvin and Yee, Michael A. and Cohen, Michael and Gu, Michael and Ivanitskiy, Michael and Starritt, Michael and Strube, Michael and Swędrowski, Michał and Bevilacqua, Michele and Yasunaga, Michihiro and Kale, Mihir and Cain, Mike and Xu, Mimee and Suzgun, Mirac and Tiwari, Mo and Bansal, Mohit and Aminnaseri, Moin and Geva, Mor and Gheini, Mozhdeh and T, Mukund Varma and Peng, Nanyun and Chi, Nathan and Lee, Nayeon and Krakover, Neta Gur-Ari and Cameron, Nicholas and Roberts, Nicholas and Doiron, Nick and Nangia, Nikita and Deckers, Niklas and Muennighoff, Niklas and Keskar, Nitish Shirish and Iyer, Niveditha S. and Constant, Noah and Fiedel, Noah and Wen, Nuan and Zhang, Oliver and Agha, Omar and Elbaghdadi, Omar and Levy, Omer and Evans, Owain and Casares, Pablo Antonio Moreno and Doshi, Parth and Fung, Pascale and Liang, Paul Pu and Vicol, Paul and Alipoormolabashi, Pegah and Liao, Peiyuan and Liang, Percy and Chang, Peter and Eckersley, Peter and Htut, Phu Mon and Hwang, Pinyu and Miłkowski, Piotr and Patil, Piyush and Pezeshkpour, Pouya and Oli, Priti and Mei, Qiaozhu and Lyu, Qing and Chen, Qinlang and Banjade, Rabin and Rudolph, Rachel Etta and Gabriel, Raefer and Habacker, Rahel and Delgado, Ramón Risco and Millière, Raphaël and Garg, Rhythm and Barnes, Richard and Saurous, Rif A. and Arakawa, Riku and Raymaekers, Robbe and Frank, Robert and Sikand, Rohan and Novak, Roman and Sitelew, Roman and LeBras, Ronan and Liu, Rosanne and Jacobs, Rowan and Zhang, Rui and Salakhutdinov, Ruslan and Chi, Ryan and Lee, Ryan and Stovall, Ryan and Teehan, Ryan and Yang, Rylan and Singh, Sahib and Mohammad, Saif M. and Anand, Sajant and Dillavou, Sam and Shleifer, Sam and Wiseman, Sam and Gruetter, Samuel and Bowman, Samuel R. and Schoenholz, Samuel S. and Han, Sanghyun and Kwatra, Sanjeev and Rous, Sarah A. and Ghazarian, Sarik and Ghosh, Sayan and Casey, Sean and Bischoff, Sebastian and Gehrmann, Sebastian and Schuster, Sebastian and Sadeghi, Sepideh and Hamdan, Shadi and Zhou, Sharon and Srivastava, Shashank and Shi, Sherry and Singh, Shikhar and Asaadi, Shima and Gu, Shixiang Shane and Pachchigar, Shubh and Toshniwal, Shubham and Upadhyay, Shyam and Shyamolima, and {Debnath} and Shakeri, Siamak and Thormeyer, Simon and Melzi, Simone and Reddy, Siva and Makini, Sneha Priscilla and Lee, Soo-Hwan and Torene, Spencer and Hatwar, Sriharsha and Dehaene, Stanislas and Divic, Stefan and Ermon, Stefano and Biderman, Stella and Lin, Stephanie and Prasad, Stephen and Piantadosi, Steven T. and Shieber, Stuart M. and Misherghi, Summer and Kiritchenko, Svetlana and Mishra, Swaroop and Linzen, Tal and Schuster, Tal and Li, Tao and Yu, Tao and Ali, Tariq and Hashimoto, Tatsu and Wu, Te-Lin and Desbordes, Théo and Rothschild, Theodore and Phan, Thomas and Wang, Tianle and Nkinyili, Tiberius and Schick, Timo and Kornev, Timofei and Telleen-Lawton, Timothy and Tunduny, Titus and Gerstenberg, Tobias and Chang, Trenton and Neeraj, Trishala and Khot, Tushar and Shultz, Tyler and Shaham, Uri and Misra, Vedant and Demberg, Vera and Nyamai, Victoria and Raunak, Vikas and Ramasesh, Vinay and Prabhu, Vinay Uday and Padmakumar, Vishakh and Srikumar, Vivek and Fedus, William and Saunders, William and Zhang, William and Vossen, Wout and Ren, Xiang and Tong, Xiaoyu and Zhao, Xinran and Wu, Xinyi and Shen, Xudong and Yaghoobzadeh, Yadollah and Lakretz, Yair and Song, Yangqiu and Bahri, Yasaman and Choi, Yejin and Yang, Yichi and Hao, Yiding and Chen, Yifu and Belinkov, Yonatan and Hou, Yu and Hou, Yufang and Bai, Yuntao and Seid, Zachary and Zhao, Zhuoye and Wang, Zijian and Wang, Zijie J. and Wang, Zirui and Wu, Ziyi}, title = {Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models}, publisher = {arXiv}, year = {2022}, copyright = {arXiv.org perpetual, non-exclusive license} } ``` ### Contributions For a full list of contributors to the BIG-bench dataset, see the paper. Thanks to [@andersjohanandreassen](https://github.com/andersjohanandreassen) and [@ethansdyer](https://github.com/ethansdyer) for adding this dataset to HuggingFace.