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Myxococcus macrosporus|微生物学数据集|分子生物学数据集
收藏DataCite Commons2025-01-07 更新2024-08-19 收录
下载链接：
https://bacdive.dsmz.de/index.php?site=pdf_view&id=22592&doi=doi:10.13145/bacdive22592.20230509.8.1
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链接失效反馈资源简介：
The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
提供机构：
DSMZ
创建时间：
2024-01-08
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cais/mmlu
--- annotations_creators: - no-annotation language_creators: - expert-generated language: - en license: - mit multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - question-answering task_ids: - multiple-choice-qa paperswithcode_id: mmlu pretty_name: Measuring Massive Multitask Language Understanding language_bcp47: - en-US dataset_info: - config_name: abstract_algebra features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 49618.6654322746 num_examples: 100 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 17143 dataset_size: 57303.3562203159 - config_name: all features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 6967453 num_examples: 14042 - name: validation num_bytes: 763484 num_examples: 1531 - name: dev num_bytes: 125353 num_examples: 285 - name: auxiliary_train num_bytes: 161000625 num_examples: 99842 download_size: 51503402 dataset_size: 168856915 - config_name: anatomy features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 66985.19833357072 num_examples: 135 - name: validation num_bytes: 6981.5649902024825 num_examples: 14 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 28864 dataset_size: 76165.9387623697 - config_name: astronomy features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 75420.3714570574 num_examples: 152 - name: validation num_bytes: 7978.931417374265 num_examples: 16 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 39316 dataset_size: 85598.47831302814 - config_name: auxiliary_train features: - name: train struct: - name: answer dtype: int64 - name: choices sequence: string - name: question dtype: string - name: subject dtype: string splits: - name: train num_bytes: 161000625 num_examples: 99842 download_size: 47518592 dataset_size: 161000625 - config_name: business_ethics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 49618.6654322746 num_examples: 100 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 31619 dataset_size: 57303.3562203159 - config_name: clinical_knowledge features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 131489.4633955277 num_examples: 265 - name: validation num_bytes: 14461.813193990856 num_examples: 29 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 51655 dataset_size: 148150.45202811505 - config_name: college_biology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 71450.87822247542 num_examples: 144 - name: validation num_bytes: 7978.931417374265 num_examples: 16 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 43017 dataset_size: 81628.98507844617 - config_name: college_chemistry features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 49618.6654322746 num_examples: 100 - name: validation num_bytes: 3989.4657086871325 num_examples: 8 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 26781 dataset_size: 55807.30657955822 - config_name: college_computer_science features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 49618.6654322746 num_examples: 100 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 41132 dataset_size: 57303.3562203159 - config_name: college_mathematics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 49618.6654322746 num_examples: 100 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 26779 dataset_size: 57303.3562203159 - config_name: college_medicine features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 85840.29119783506 num_examples: 173 - name: validation num_bytes: 10971.030698889615 num_examples: 22 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 56303 dataset_size: 99010.49733532117 - config_name: college_physics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 50611.0387409201 num_examples: 102 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 29539 dataset_size: 58295.7295289614 - config_name: computer_security features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 49618.6654322746 num_examples: 100 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 30150 dataset_size: 57303.3562203159 - config_name: conceptual_physics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 116603.86376584532 num_examples: 235 - name: validation num_bytes: 12965.76355323318 num_examples: 26 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 34968 dataset_size: 131768.802757675 - config_name: econometrics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 56565.27859279305 num_examples: 114 - name: validation num_bytes: 5984.198563030699 num_examples: 12 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 36040 dataset_size: 64748.652594420244 - config_name: electrical_engineering features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 71947.06487679818 num_examples: 145 - name: validation num_bytes: 7978.931417374265 num_examples: 16 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 26746 dataset_size: 82125.17173276893 - config_name: elementary_mathematics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 187558.555333998 num_examples: 378 - name: validation num_bytes: 20446.011757021555 num_examples: 41 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 54987 dataset_size: 210203.74252961605 - config_name: formal_logic features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 62519.518444666 num_examples: 126 - name: validation num_bytes: 6981.5649902024825 num_examples: 14 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 32884 dataset_size: 71700.25887346498 - config_name: global_facts features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 49618.6654322746 num_examples: 100 - name: validation num_bytes: 4986.8321358589155 num_examples: 10 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 19258 dataset_size: 56804.67300673001 - config_name: high_school_biology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 153817.86284005127 num_examples: 310 - name: validation num_bytes: 15957.86283474853 num_examples: 32 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 78216 dataset_size: 171974.90111339628 - config_name: high_school_chemistry features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 100725.89082751745 num_examples: 203 - name: validation num_bytes: 10971.030698889615 num_examples: 22 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 45799 dataset_size: 113896.09696500355 - config_name: high_school_computer_science features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 49618.6654322746 num_examples: 100 - name: validation num_bytes: 4488.148922273024 num_examples: 9 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 39072 dataset_size: 56305.989793144116 - config_name: high_school_european_history features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 81870.79796325309 num_examples: 165 - name: validation num_bytes: 8976.297844546049 num_examples: 18 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 196270 dataset_size: 93046.27124639563 - config_name: high_school_geography features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 98244.95755590372 num_examples: 198 - name: validation num_bytes: 10971.030698889615 num_examples: 22 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 38255 dataset_size: 111415.16369338983 - config_name: high_school_government_and_politics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 95764.02428428999 num_examples: 193 - name: validation num_bytes: 10472.347485303722 num_examples: 21 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 52963 dataset_size: 108435.5472081902 - config_name: high_school_macroeconomics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 193512.79518587096 num_examples: 390 - name: validation num_bytes: 21443.378184193338 num_examples: 43 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 68758 dataset_size: 217155.34880866078 - config_name: high_school_mathematics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 133970.39666714144 num_examples: 270 - name: validation num_bytes: 14461.813193990856 num_examples: 29 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 45210 dataset_size: 150631.38529972878 - config_name: high_school_microeconomics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 118092.42372881356 num_examples: 238 - name: validation num_bytes: 12965.76355323318 num_examples: 26 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 49885 dataset_size: 133257.36272064323 - config_name: high_school_physics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 74924.18480273466 num_examples: 151 - name: validation num_bytes: 8477.614630960157 num_examples: 17 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 45483 dataset_size: 85600.9748722913 - config_name: high_school_psychology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 270421.7266058966 num_examples: 545 - name: validation num_bytes: 29920.992815153495 num_examples: 60 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 113158 dataset_size: 302541.8948596466 - config_name: high_school_statistics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 107176.31733371314 num_examples: 216 - name: validation num_bytes: 11469.713912475507 num_examples: 23 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 74924 dataset_size: 120845.20668478514 - config_name: high_school_us_history features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 101222.0774818402 num_examples: 204 - name: validation num_bytes: 10971.030698889615 num_examples: 22 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 200043 dataset_size: 114392.2836193263 - config_name: high_school_world_history features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 117596.23707449081 num_examples: 237 - name: validation num_bytes: 12965.76355323318 num_examples: 26 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 250302 dataset_size: 132761.17606632048 - config_name: human_aging features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 110649.62391397236 num_examples: 223 - name: validation num_bytes: 11469.713912475507 num_examples: 23 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 41196 dataset_size: 124318.51326504436 - config_name: human_sexuality features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 65000.451716279735 num_examples: 131 - name: validation num_bytes: 5984.198563030699 num_examples: 12 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 32533 dataset_size: 73183.82571790692 - config_name: international_law features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 60038.58517305227 num_examples: 121 - name: validation num_bytes: 6482.88177661659 num_examples: 13 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 41592 dataset_size: 68720.64238826535 - config_name: jurisprudence features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 53588.15866685657 num_examples: 108 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 33578 dataset_size: 61272.84945489787 - config_name: logical_fallacies features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 80878.4246546076 num_examples: 163 - name: validation num_bytes: 8976.297844546049 num_examples: 18 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 33669 dataset_size: 92053.89793775014 - config_name: machine_learning features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 55572.90528414756 num_examples: 112 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 31121 dataset_size: 63257.596072188855 - config_name: management features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 51107.225395242844 num_examples: 103 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 22828 dataset_size: 58791.91618328414 - config_name: marketing features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 116107.67711152257 num_examples: 234 - name: validation num_bytes: 12467.08033964729 num_examples: 25 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 49747 dataset_size: 130773.93288976635 - config_name: medical_genetics features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 49618.6654322746 num_examples: 100 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 25775 dataset_size: 57303.3562203159 - config_name: miscellaneous features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 388514.15033471014 num_examples: 783 - name: validation num_bytes: 42886.756368386676 num_examples: 86 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 115097 dataset_size: 433600.08214169333 - config_name: moral_disputes features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 171680.58239567012 num_examples: 346 - name: validation num_bytes: 18949.96211626388 num_examples: 38 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 76043 dataset_size: 192829.71995053047 - config_name: moral_scenarios features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 444087.05561885773 num_examples: 895 - name: validation num_bytes: 49868.32135858916 num_examples: 100 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 109869 dataset_size: 496154.5524160434 - config_name: nutrition features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 151833.1162227603 num_examples: 306 - name: validation num_bytes: 16456.54604833442 num_examples: 33 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 69050 dataset_size: 170488.8377096912 - config_name: philosophy features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 154314.04949437402 num_examples: 311 - name: validation num_bytes: 16955.229261920314 num_examples: 34 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 61912 dataset_size: 173468.45419489083 - config_name: prehistory features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 160764.47600056973 num_examples: 324 - name: validation num_bytes: 17453.912475506204 num_examples: 35 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 68826 dataset_size: 180417.5639146724 - config_name: professional_accounting features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 139924.6365190144 num_examples: 282 - name: validation num_bytes: 15459.179621162639 num_examples: 31 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 87297 dataset_size: 157582.99157877354 - config_name: professional_law features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 761150.3277310925 num_examples: 1534 - name: validation num_bytes: 84776.14630960157 num_examples: 170 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 1167828 dataset_size: 848125.6494792906 - config_name: professional_medicine features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 134962.7699757869 num_examples: 272 - name: validation num_bytes: 15459.179621162639 num_examples: 31 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 153242 dataset_size: 152621.12503554605 - config_name: professional_psychology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 303666.2324455206 num_examples: 612 - name: validation num_bytes: 34409.14173742652 num_examples: 69 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 159357 dataset_size: 340274.5496215436 - config_name: public_relations features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 54580.53197550207 num_examples: 110 - name: validation num_bytes: 5984.198563030699 num_examples: 12 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 31500 dataset_size: 62763.90597712925 - config_name: security_studies features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 121565.73030907278 num_examples: 245 - name: validation num_bytes: 13464.446766819072 num_examples: 27 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 140258 dataset_size: 137229.35251448833 - config_name: sociology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 99733.51751887196 num_examples: 201 - name: validation num_bytes: 10971.030698889615 num_examples: 22 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 56480 dataset_size: 112903.72365635807 - config_name: us_foreign_policy features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 49618.6654322746 num_examples: 100 - name: validation num_bytes: 5485.515349444808 num_examples: 11 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 29027 dataset_size: 57303.3562203159 - config_name: virology features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 82366.98461757584 num_examples: 166 - name: validation num_bytes: 8976.297844546049 num_examples: 18 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 38229 dataset_size: 93542.45790071838 - config_name: world_religions features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: test num_bytes: 84847.91788918957 num_examples: 171 - name: validation num_bytes: 9474.98105813194 num_examples: 19 - name: dev num_bytes: 2199.1754385964914 num_examples: 5 download_size: 27165 dataset_size: 96522.07438591801 configs: - config_name: abstract_algebra data_files: - split: test path: abstract_algebra/test-* - split: validation path: abstract_algebra/validation-* - split: dev path: abstract_algebra/dev-* - config_name: all data_files: - split: test path: all/test-* - split: validation path: all/validation-* - split: dev path: all/dev-* - split: auxiliary_train path: all/auxiliary_train-* - config_name: anatomy data_files: - split: test path: anatomy/test-* - split: validation path: anatomy/validation-* - split: dev path: anatomy/dev-* - config_name: astronomy data_files: - split: test path: astronomy/test-* - split: validation path: astronomy/validation-* - split: dev path: astronomy/dev-* - config_name: auxiliary_train data_files: - split: train path: auxiliary_train/train-* - config_name: business_ethics data_files: - split: test path: business_ethics/test-* - split: validation path: business_ethics/validation-* - split: dev path: business_ethics/dev-* - config_name: clinical_knowledge data_files: - split: test path: clinical_knowledge/test-* - split: validation path: clinical_knowledge/validation-* - split: dev path: clinical_knowledge/dev-* - config_name: college_biology data_files: - split: test path: college_biology/test-* - split: validation path: college_biology/validation-* - split: dev path: college_biology/dev-* - config_name: college_chemistry data_files: - split: test path: college_chemistry/test-* - split: validation path: college_chemistry/validation-* - split: dev path: college_chemistry/dev-* - config_name: college_computer_science data_files: - split: test path: college_computer_science/test-* - split: validation path: college_computer_science/validation-* - split: dev path: college_computer_science/dev-* - config_name: college_mathematics data_files: - split: test path: college_mathematics/test-* - split: validation path: college_mathematics/validation-* - split: dev path: college_mathematics/dev-* - config_name: college_medicine data_files: - split: test path: college_medicine/test-* - split: validation path: college_medicine/validation-* - split: dev path: college_medicine/dev-* - config_name: college_physics data_files: - split: test path: college_physics/test-* - split: validation path: college_physics/validation-* - split: dev path: college_physics/dev-* - config_name: computer_security data_files: - split: test path: computer_security/test-* - split: validation path: computer_security/validation-* - split: dev path: computer_security/dev-* - config_name: conceptual_physics data_files: - split: test path: conceptual_physics/test-* - split: validation path: conceptual_physics/validation-* - split: dev path: conceptual_physics/dev-* - config_name: econometrics data_files: - split: test path: econometrics/test-* - split: validation path: econometrics/validation-* - split: dev path: econometrics/dev-* - config_name: electrical_engineering data_files: - split: test path: electrical_engineering/test-* - split: validation path: electrical_engineering/validation-* - split: dev path: electrical_engineering/dev-* - config_name: elementary_mathematics data_files: - split: test path: elementary_mathematics/test-* - split: validation path: elementary_mathematics/validation-* - split: dev path: elementary_mathematics/dev-* - config_name: formal_logic data_files: - split: test path: formal_logic/test-* - split: validation path: formal_logic/validation-* - split: dev path: formal_logic/dev-* - config_name: global_facts data_files: - split: test path: global_facts/test-* - split: validation path: global_facts/validation-* - split: dev path: global_facts/dev-* - config_name: high_school_biology data_files: - split: test path: high_school_biology/test-* - split: validation path: high_school_biology/validation-* - split: dev path: high_school_biology/dev-* - config_name: high_school_chemistry data_files: - split: test path: high_school_chemistry/test-* - split: validation path: high_school_chemistry/validation-* - split: dev path: high_school_chemistry/dev-* - config_name: high_school_computer_science data_files: - split: test path: high_school_computer_science/test-* - split: validation path: high_school_computer_science/validation-* - split: dev path: high_school_computer_science/dev-* - config_name: high_school_european_history data_files: - split: test path: high_school_european_history/test-* - split: validation path: high_school_european_history/validation-* - split: dev path: high_school_european_history/dev-* - config_name: high_school_geography data_files: - split: test path: high_school_geography/test-* - split: validation path: high_school_geography/validation-* - split: dev path: high_school_geography/dev-* - config_name: high_school_government_and_politics data_files: - split: test path: high_school_government_and_politics/test-* - split: validation path: high_school_government_and_politics/validation-* - split: dev path: high_school_government_and_politics/dev-* - config_name: high_school_macroeconomics data_files: - split: test path: high_school_macroeconomics/test-* - split: validation path: high_school_macroeconomics/validation-* - split: dev path: high_school_macroeconomics/dev-* - config_name: high_school_mathematics data_files: - split: test path: high_school_mathematics/test-* - split: validation path: high_school_mathematics/validation-* - split: dev path: high_school_mathematics/dev-* - config_name: high_school_microeconomics data_files: - split: test path: high_school_microeconomics/test-* - split: validation path: high_school_microeconomics/validation-* - split: dev path: high_school_microeconomics/dev-* - config_name: high_school_physics data_files: - split: test path: high_school_physics/test-* - split: validation path: high_school_physics/validation-* - split: dev path: high_school_physics/dev-* - config_name: high_school_psychology data_files: - split: test path: high_school_psychology/test-* - split: validation path: high_school_psychology/validation-* - split: dev path: high_school_psychology/dev-* - config_name: high_school_statistics data_files: - split: test path: high_school_statistics/test-* - split: validation path: high_school_statistics/validation-* - split: dev path: high_school_statistics/dev-* - config_name: high_school_us_history data_files: - split: test path: high_school_us_history/test-* - split: validation path: high_school_us_history/validation-* - split: dev path: high_school_us_history/dev-* - config_name: high_school_world_history data_files: - split: test path: high_school_world_history/test-* - split: validation path: high_school_world_history/validation-* - split: dev path: high_school_world_history/dev-* - config_name: human_aging data_files: - split: test path: human_aging/test-* - split: validation path: human_aging/validation-* - split: dev path: human_aging/dev-* - config_name: human_sexuality data_files: - split: test path: human_sexuality/test-* - split: validation path: human_sexuality/validation-* - split: dev path: human_sexuality/dev-* - config_name: international_law data_files: - split: test path: international_law/test-* - split: validation path: international_law/validation-* - split: dev path: international_law/dev-* - config_name: jurisprudence data_files: - split: test path: jurisprudence/test-* - split: validation path: jurisprudence/validation-* - split: dev path: jurisprudence/dev-* - config_name: logical_fallacies data_files: - split: test path: logical_fallacies/test-* - split: validation path: logical_fallacies/validation-* - split: dev path: logical_fallacies/dev-* - config_name: machine_learning data_files: - split: test path: machine_learning/test-* - split: validation path: machine_learning/validation-* - split: dev path: machine_learning/dev-* - config_name: management data_files: - split: test path: management/test-* - split: validation path: management/validation-* - split: dev path: management/dev-* - config_name: marketing data_files: - split: test path: marketing/test-* - split: validation path: marketing/validation-* - split: dev path: marketing/dev-* - config_name: medical_genetics data_files: - split: test path: medical_genetics/test-* - split: validation path: medical_genetics/validation-* - split: dev path: medical_genetics/dev-* - config_name: miscellaneous data_files: - split: test path: miscellaneous/test-* - split: validation path: miscellaneous/validation-* - split: dev path: miscellaneous/dev-* - config_name: moral_disputes data_files: - split: test path: moral_disputes/test-* - split: validation path: moral_disputes/validation-* - split: dev path: moral_disputes/dev-* - config_name: moral_scenarios data_files: - split: test path: moral_scenarios/test-* - split: validation path: moral_scenarios/validation-* - split: dev path: moral_scenarios/dev-* - config_name: nutrition data_files: - split: test path: nutrition/test-* - split: validation path: nutrition/validation-* - split: dev path: nutrition/dev-* - config_name: philosophy data_files: - split: test path: philosophy/test-* - split: validation path: philosophy/validation-* - split: dev path: philosophy/dev-* - config_name: prehistory data_files: - split: test path: prehistory/test-* - split: validation path: prehistory/validation-* - split: dev path: prehistory/dev-* - config_name: professional_accounting data_files: - split: test path: professional_accounting/test-* - split: validation path: professional_accounting/validation-* - split: dev path: professional_accounting/dev-* - config_name: professional_law data_files: - split: test path: professional_law/test-* - split: validation path: professional_law/validation-* - split: dev path: professional_law/dev-* - config_name: professional_medicine data_files: - split: test path: professional_medicine/test-* - split: validation path: professional_medicine/validation-* - split: dev path: professional_medicine/dev-* - config_name: professional_psychology data_files: - split: test path: professional_psychology/test-* - split: validation path: professional_psychology/validation-* - split: dev path: professional_psychology/dev-* - config_name: public_relations data_files: - split: test path: public_relations/test-* - split: validation path: public_relations/validation-* - split: dev path: public_relations/dev-* - config_name: security_studies data_files: - split: test path: security_studies/test-* - split: validation path: security_studies/validation-* - split: dev path: security_studies/dev-* - config_name: sociology data_files: - split: test path: sociology/test-* - split: validation path: sociology/validation-* - split: dev path: sociology/dev-* - config_name: us_foreign_policy data_files: - split: test path: us_foreign_policy/test-* - split: validation path: us_foreign_policy/validation-* - split: dev path: us_foreign_policy/dev-* - config_name: virology data_files: - split: test path: virology/test-* - split: validation path: virology/validation-* - split: dev path: virology/dev-* - config_name: world_religions data_files: - split: test path: world_religions/test-* - split: validation path: world_religions/validation-* - split: dev path: world_religions/dev-* --- # Dataset Card for MMLU ## 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 - **Repository**: https://github.com/hendrycks/test - **Paper**: https://arxiv.org/abs/2009.03300 ### Dataset Summary [Measuring Massive Multitask Language Understanding](https://arxiv.org/pdf/2009.03300) by [Dan Hendrycks](https://people.eecs.berkeley.edu/~hendrycks/), [Collin Burns](http://collinpburns.com), [Steven Basart](https://stevenbas.art), Andy Zou, Mantas Mazeika, [Dawn Song](https://people.eecs.berkeley.edu/~dawnsong/), and [Jacob Steinhardt](https://www.stat.berkeley.edu/~jsteinhardt/) (ICLR 2021). This is a massive multitask test consisting of multiple-choice questions from various branches of knowledge. The test spans subjects in the humanities, social sciences, hard sciences, and other areas that are important for some people to learn. This covers 57 tasks including elementary mathematics, US history, computer science, law, and more. To attain high accuracy on this test, models must possess extensive world knowledge and problem solving ability. A complete list of tasks: ['abstract_algebra', 'anatomy', 'astronomy', 'business_ethics', 'clinical_knowledge', 'college_biology', 'college_chemistry', 'college_computer_science', 'college_mathematics', 'college_medicine', 'college_physics', 'computer_security', 'conceptual_physics', 'econometrics', 'electrical_engineering', 'elementary_mathematics', 'formal_logic', 'global_facts', 'high_school_biology', 'high_school_chemistry', 'high_school_computer_science', 'high_school_european_history', 'high_school_geography', 'high_school_government_and_politics', 'high_school_macroeconomics', 'high_school_mathematics', 'high_school_microeconomics', 'high_school_physics', 'high_school_psychology', 'high_school_statistics', 'high_school_us_history', 'high_school_world_history', 'human_aging', 'human_sexuality', 'international_law', 'jurisprudence', 'logical_fallacies', 'machine_learning', 'management', 'marketing', 'medical_genetics', 'miscellaneous', 'moral_disputes', 'moral_scenarios', 'nutrition', 'philosophy', 'prehistory', 'professional_accounting', 'professional_law', 'professional_medicine', 'professional_psychology', 'public_relations', 'security_studies', 'sociology', 'us_foreign_policy', 'virology', 'world_religions'] ### Supported Tasks and Leaderboards | Model | Authors | Humanities | Social Science | STEM | Other | Average | |------------------------------------|----------|:-------:|:-------:|:-------:|:-------:|:-------:| | [UnifiedQA](https://arxiv.org/abs/2005.00700) | Khashabi et al., 2020 | 45.6 | 56.6 | 40.2 | 54.6 | 48.9 | [GPT-3](https://arxiv.org/abs/2005.14165) (few-shot) | Brown et al., 2020 | 40.8 | 50.4 | 36.7 | 48.8 | 43.9 | [GPT-2](https://arxiv.org/abs/2005.14165) | Radford et al., 2019 | 32.8 | 33.3 | 30.2 | 33.1 | 32.4 | Random Baseline | N/A | 25.0 | 25.0 | 25.0 | 25.0 | 25.0 | 25.0 ### Languages English ## Dataset Structure ### Data Instances An example from anatomy subtask looks as follows: ``` { "question": "What is the embryological origin of the hyoid bone?", "choices": ["The first pharyngeal arch", "The first and second pharyngeal arches", "The second pharyngeal arch", "The second and third pharyngeal arches"], "answer": "D" } ``` ### Data Fields - `question`: a string feature - `choices`: a list of 4 string features - `answer`: a ClassLabel feature ### Data Splits - `auxiliary_train`: auxiliary multiple-choice training questions from ARC, MC_TEST, OBQA, RACE, etc. - `dev`: 5 examples per subtask, meant for few-shot setting - `test`: there are at least 100 examples per subtask | | auxiliary_train | dev | val | test | | ----- | :------: | :-----: | :-----: | :-----: | | TOTAL | 99842 | 285 | 1531 | 14042 ## Dataset Creation ### Curation Rationale Transformer models have driven this recent progress by pretraining on massive text corpora, including all of Wikipedia, thousands of books, and numerous websites. These models consequently see extensive information about specialized topics, most of which is not assessed by existing NLP benchmarks. To bridge the gap between the wide-ranging knowledge that models see during pretraining and the existing measures of success, we introduce a new benchmark for assessing models across a diverse set of subjects that humans learn. ### 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 ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [MIT License](https://github.com/hendrycks/test/blob/master/LICENSE) ### Citation Information If you find this useful in your research, please consider citing the test and also the [ETHICS](https://arxiv.org/abs/2008.02275) dataset it draws from: ``` @article{hendryckstest2021, title={Measuring Massive Multitask Language Understanding}, author={Dan Hendrycks and Collin Burns and Steven Basart and Andy Zou and Mantas Mazeika and Dawn Song and Jacob Steinhardt}, journal={Proceedings of the International Conference on Learning Representations (ICLR)}, year={2021} } @article{hendrycks2021ethics, title={Aligning AI With Shared Human Values}, author={Dan Hendrycks and Collin Burns and Steven Basart and Andrew Critch and Jerry Li and Dawn Song and Jacob Steinhardt}, journal={Proceedings of the International Conference on Learning Representations (ICLR)}, year={2021} } ``` ### Contributions Thanks to [@andyzoujm](https://github.com/andyzoujm) for adding this dataset.
hugging_face 收录
China Health and Nutrition Survey (CHNS)
China Health and Nutrition Survey（CHNS）是一项由美国北卡罗来纳大学人口中心与中国疾病预防控制中心营养与健康所合作开展的长期开放性队列研究项目，旨在评估国家和地方政府的健康、营养与家庭计划政策对人群健康和营养状况的影响，以及社会经济转型对居民健康行为和健康结果的作用。该调查覆盖中国15个省份和直辖市的约7200户家庭、超过30000名个体，采用多阶段随机抽样方法，收集了家庭、个体以及社区层面的详细数据，包括饮食、健康、经济和社会因素等信息。自2011年起，CHNS不断扩展，新增多个城市和省份，并持续完善纵向数据链接，为研究中国社会经济变化与健康营养的动态关系提供了重要的数据支持。
www.cpc.unc.edu 收录