Datasets:
davanstrien
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liblinear/eng-russian-paintings-t2i-last-1000
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 135897897.64 num_examples: 1170 download_size: 133626115 dataset_size: 135897897.64 configs: - config_name: default data_files: - split: train path: data/train-* ---
liersan/litest
--- dataset_info: features: - name: audio sequence: float32 - name: sentence dtype: string splits: - name: test num_bytes: 113600198 num_examples: 534 - name: trian num_bytes: 113600198 num_examples: 534 download_size: 114111784 dataset_size: 227200396 --- # Dataset Card for "litest" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
EleutherAI/quirky_capitals_alice
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: bob_label dtype: bool - name: alice_label dtype: bool - name: difficulty dtype: float64 - name: statement dtype: string - name: choices sequence: string - name: character dtype: string - name: label dtype: bool splits: - name: train num_bytes: 56487.163245356795 num_examples: 512 - name: validation num_bytes: 109924.0 num_examples: 1000 - name: test num_bytes: 110136.0 num_examples: 1000 download_size: 98973 dataset_size: 276547.16324535676 --- # Dataset Card for "quirky_capitals_alice" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
wenjiewu/dataset_f
--- license: mit ---
mask-distilled-onesec-cv12-each-chunk-uniq/chunk_22
--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1072940412.0 num_examples: 210711 download_size: 1094089323 dataset_size: 1072940412.0 --- # Dataset Card for "chunk_22" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tyzhu/orca_max_300
--- dataset_info: features: - name: id dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: response dtype: string splits: - name: train num_bytes: 5127997192.312375 num_examples: 3006598 - name: test num_bytes: 269894589.06907237 num_examples: 158242 - name: validation num_bytes: 269894589.06907237 num_examples: 158242 download_size: 90547829 dataset_size: 5667786370.4505205 --- # Dataset Card for "orca_max_300" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
allennghayoui/formatted_dataset
--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 194135 num_examples: 192 download_size: 42212 dataset_size: 194135 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_allknowingroger__TaoPassthrough-15B-s
--- pretty_name: Evaluation run of allknowingroger/TaoPassthrough-15B-s dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [allknowingroger/TaoPassthrough-15B-s](https://huggingface.co/allknowingroger/TaoPassthrough-15B-s)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_allknowingroger__TaoPassthrough-15B-s\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-11T08:38:19.718412](https://huggingface.co/datasets/open-llm-leaderboard/details_allknowingroger__TaoPassthrough-15B-s/blob/main/results_2024-04-11T08-38-19.718412.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6459216801334029,\n\ \ \"acc_stderr\": 0.0323164135334774,\n \"acc_norm\": 0.6480689895845723,\n\ \ \"acc_norm_stderr\": 0.03298589284457266,\n \"mc1\": 0.5924112607099143,\n\ \ \"mc1_stderr\": 0.017201949234553107,\n \"mc2\": 0.7474836944840552,\n\ \ \"mc2_stderr\": 0.014375017232568123\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6902730375426621,\n \"acc_stderr\": 0.01351205841523836,\n\ \ \"acc_norm\": 0.7175767918088737,\n \"acc_norm_stderr\": 0.013155456884097222\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7171878111929895,\n\ \ \"acc_stderr\": 0.004494454911844617,\n \"acc_norm\": 0.888568014339773,\n\ \ \"acc_norm_stderr\": 0.003140232392568799\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542129,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542129\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5851851851851851,\n\ \ \"acc_stderr\": 0.04256193767901409,\n \"acc_norm\": 0.5851851851851851,\n\ \ \"acc_norm_stderr\": 0.04256193767901409\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6973684210526315,\n \"acc_stderr\": 0.037385206761196686,\n\ \ \"acc_norm\": 0.6973684210526315,\n \"acc_norm_stderr\": 0.037385206761196686\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.66,\n\ \ \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\": 0.66,\n \ \ \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6679245283018868,\n \"acc_stderr\": 0.028985455652334388,\n\ \ \"acc_norm\": 0.6679245283018868,\n \"acc_norm_stderr\": 0.028985455652334388\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.75,\n\ \ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.75,\n \ \ \"acc_norm_stderr\": 0.03621034121889507\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\ : {\n \"acc\": 0.55,\n \"acc_stderr\": 0.049999999999999996,\n \ \ \"acc_norm\": 0.55,\n \"acc_norm_stderr\": 0.049999999999999996\n \ \ },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\"\ : 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n\ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-college_medicine|5\"\ : {\n \"acc\": 0.6589595375722543,\n \"acc_stderr\": 0.036146654241808254,\n\ \ \"acc_norm\": 0.6589595375722543,\n \"acc_norm_stderr\": 0.036146654241808254\n\ \ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.4019607843137255,\n\ \ \"acc_stderr\": 0.04878608714466996,\n \"acc_norm\": 0.4019607843137255,\n\ \ \"acc_norm_stderr\": 0.04878608714466996\n },\n \"harness|hendrycksTest-computer_security|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n \ \ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.5829787234042553,\n\ \ \"acc_stderr\": 0.03223276266711712,\n \"acc_norm\": 0.5829787234042553,\n\ \ \"acc_norm_stderr\": 0.03223276266711712\n },\n \"harness|hendrycksTest-econometrics|5\"\ : {\n \"acc\": 0.5175438596491229,\n \"acc_stderr\": 0.04700708033551038,\n\ \ \"acc_norm\": 0.5175438596491229,\n \"acc_norm_stderr\": 0.04700708033551038\n\ \ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\ : 0.5517241379310345,\n \"acc_stderr\": 0.041443118108781526,\n \"\ acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.041443118108781526\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4312169312169312,\n \"acc_stderr\": 0.025506481698138215,\n \"\ acc_norm\": 0.4312169312169312,\n \"acc_norm_stderr\": 0.025506481698138215\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4603174603174603,\n\ \ \"acc_stderr\": 0.04458029125470973,\n \"acc_norm\": 0.4603174603174603,\n\ \ \"acc_norm_stderr\": 0.04458029125470973\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \ \ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7935483870967742,\n \"acc_stderr\": 0.02302589961718872,\n \"\ acc_norm\": 0.7935483870967742,\n \"acc_norm_stderr\": 0.02302589961718872\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.47783251231527096,\n \"acc_stderr\": 0.035145285621750094,\n \"\ acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.035145285621750094\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7474747474747475,\n \"acc_stderr\": 0.03095405547036589,\n \"\ acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.03095405547036589\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.02098685459328974,\n\ \ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.02098685459328974\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6564102564102564,\n \"acc_stderr\": 0.024078696580635477,\n\ \ \"acc_norm\": 0.6564102564102564,\n \"acc_norm_stderr\": 0.024078696580635477\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3296296296296296,\n \"acc_stderr\": 0.02866120111652456,\n \ \ \"acc_norm\": 0.3296296296296296,\n \"acc_norm_stderr\": 0.02866120111652456\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.680672268907563,\n \"acc_stderr\": 0.0302839955258844,\n \ \ \"acc_norm\": 0.680672268907563,\n \"acc_norm_stderr\": 0.0302839955258844\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3973509933774834,\n \"acc_stderr\": 0.039955240076816806,\n \"\ acc_norm\": 0.3973509933774834,\n \"acc_norm_stderr\": 0.039955240076816806\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8440366972477065,\n \"acc_stderr\": 0.01555580271359017,\n \"\ acc_norm\": 0.8440366972477065,\n \"acc_norm_stderr\": 0.01555580271359017\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5601851851851852,\n \"acc_stderr\": 0.0338517797604481,\n \"acc_norm\"\ : 0.5601851851851852,\n \"acc_norm_stderr\": 0.0338517797604481\n },\n\ \ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.7941176470588235,\n\ \ \"acc_stderr\": 0.028379449451588667,\n \"acc_norm\": 0.7941176470588235,\n\ \ \"acc_norm_stderr\": 0.028379449451588667\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\ : {\n \"acc\": 0.8143459915611815,\n \"acc_stderr\": 0.02531049537694486,\n\ \ \"acc_norm\": 0.8143459915611815,\n \"acc_norm_stderr\": 0.02531049537694486\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7040358744394619,\n\ \ \"acc_stderr\": 0.030636591348699796,\n \"acc_norm\": 0.7040358744394619,\n\ \ \"acc_norm_stderr\": 0.030636591348699796\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7175572519083969,\n \"acc_stderr\": 0.03948406125768361,\n\ \ \"acc_norm\": 0.7175572519083969,\n \"acc_norm_stderr\": 0.03948406125768361\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7355371900826446,\n \"acc_stderr\": 0.04026187527591207,\n \"\ acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.04026187527591207\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\ \ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\ \ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.0335195387952127,\n\ \ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.0335195387952127\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5178571428571429,\n\ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.5178571428571429,\n\ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\ \ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8589743589743589,\n\ \ \"acc_stderr\": 0.022801382534597528,\n \"acc_norm\": 0.8589743589743589,\n\ \ \"acc_norm_stderr\": 0.022801382534597528\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.04351941398892446\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8199233716475096,\n\ \ \"acc_stderr\": 0.013740797258579832,\n \"acc_norm\": 0.8199233716475096,\n\ \ \"acc_norm_stderr\": 0.013740797258579832\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6907514450867052,\n \"acc_stderr\": 0.02488314057007176,\n\ \ \"acc_norm\": 0.6907514450867052,\n \"acc_norm_stderr\": 0.02488314057007176\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3754189944134078,\n\ \ \"acc_stderr\": 0.01619510424846353,\n \"acc_norm\": 0.3754189944134078,\n\ \ \"acc_norm_stderr\": 0.01619510424846353\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7026143790849673,\n \"acc_stderr\": 0.026173908506718576,\n\ \ \"acc_norm\": 0.7026143790849673,\n \"acc_norm_stderr\": 0.026173908506718576\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6977491961414791,\n\ \ \"acc_stderr\": 0.026082700695399655,\n \"acc_norm\": 0.6977491961414791,\n\ \ \"acc_norm_stderr\": 0.026082700695399655\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7438271604938271,\n \"acc_stderr\": 0.0242885336377261,\n\ \ \"acc_norm\": 0.7438271604938271,\n \"acc_norm_stderr\": 0.0242885336377261\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4858156028368794,\n \"acc_stderr\": 0.02981549448368206,\n \ \ \"acc_norm\": 0.4858156028368794,\n \"acc_norm_stderr\": 0.02981549448368206\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.49022164276401564,\n\ \ \"acc_stderr\": 0.01276779378772933,\n \"acc_norm\": 0.49022164276401564,\n\ \ \"acc_norm_stderr\": 0.01276779378772933\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6875,\n \"acc_stderr\": 0.02815637344037142,\n \ \ \"acc_norm\": 0.6875,\n \"acc_norm_stderr\": 0.02815637344037142\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.7075163398692811,\n \"acc_stderr\": 0.018403415710109797,\n \ \ \"acc_norm\": 0.7075163398692811,\n \"acc_norm_stderr\": 0.018403415710109797\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\ \ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ \ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.726530612244898,\n \"acc_stderr\": 0.028535560337128448,\n\ \ \"acc_norm\": 0.726530612244898,\n \"acc_norm_stderr\": 0.028535560337128448\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8407960199004975,\n\ \ \"acc_stderr\": 0.025870646766169146,\n \"acc_norm\": 0.8407960199004975,\n\ \ \"acc_norm_stderr\": 0.025870646766169146\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5120481927710844,\n\ \ \"acc_stderr\": 0.03891364495835816,\n \"acc_norm\": 0.5120481927710844,\n\ \ \"acc_norm_stderr\": 0.03891364495835816\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640044,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640044\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5924112607099143,\n\ \ \"mc1_stderr\": 0.017201949234553107,\n \"mc2\": 0.7474836944840552,\n\ \ \"mc2_stderr\": 0.014375017232568123\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8634569850039463,\n \"acc_stderr\": 0.009650242900291598\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5003790750568613,\n \ \ \"acc_stderr\": 0.013772480761626175\n }\n}\n```" repo_url: https://huggingface.co/allknowingroger/TaoPassthrough-15B-s leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|arc:challenge|25_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-04-11T08-38-19.718412.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|gsm8k|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hellaswag|10_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-11T08-38-19.718412.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-management|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-virology|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-11T08-38-19.718412.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|truthfulqa:mc|0_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-04-11T08-38-19.718412.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_11T08_38_19.718412 path: - '**/details_harness|winogrande|5_2024-04-11T08-38-19.718412.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-04-11T08-38-19.718412.parquet' - config_name: results data_files: - split: 2024_04_11T08_38_19.718412 path: - results_2024-04-11T08-38-19.718412.parquet - split: latest path: - results_2024-04-11T08-38-19.718412.parquet --- # Dataset Card for Evaluation run of allknowingroger/TaoPassthrough-15B-s <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [allknowingroger/TaoPassthrough-15B-s](https://huggingface.co/allknowingroger/TaoPassthrough-15B-s) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_allknowingroger__TaoPassthrough-15B-s", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-11T08:38:19.718412](https://huggingface.co/datasets/open-llm-leaderboard/details_allknowingroger__TaoPassthrough-15B-s/blob/main/results_2024-04-11T08-38-19.718412.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.6459216801334029, "acc_stderr": 0.0323164135334774, "acc_norm": 0.6480689895845723, "acc_norm_stderr": 0.03298589284457266, "mc1": 0.5924112607099143, "mc1_stderr": 0.017201949234553107, "mc2": 0.7474836944840552, "mc2_stderr": 0.014375017232568123 }, "harness|arc:challenge|25": { "acc": 0.6902730375426621, "acc_stderr": 0.01351205841523836, "acc_norm": 0.7175767918088737, "acc_norm_stderr": 0.013155456884097222 }, "harness|hellaswag|10": { "acc": 0.7171878111929895, "acc_stderr": 0.004494454911844617, "acc_norm": 0.888568014339773, "acc_norm_stderr": 0.003140232392568799 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.04512608598542129, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542129 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5851851851851851, "acc_stderr": 0.04256193767901409, "acc_norm": 0.5851851851851851, "acc_norm_stderr": 0.04256193767901409 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6973684210526315, "acc_stderr": 0.037385206761196686, "acc_norm": 0.6973684210526315, "acc_norm_stderr": 0.037385206761196686 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6679245283018868, "acc_stderr": 0.028985455652334388, "acc_norm": 0.6679245283018868, "acc_norm_stderr": 0.028985455652334388 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.75, "acc_stderr": 0.03621034121889507, "acc_norm": 0.75, "acc_norm_stderr": 0.03621034121889507 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.55, "acc_stderr": 0.049999999999999996, "acc_norm": 0.55, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6589595375722543, "acc_stderr": 0.036146654241808254, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.036146654241808254 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.72, "acc_stderr": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5829787234042553, "acc_stderr": 0.03223276266711712, "acc_norm": 0.5829787234042553, "acc_norm_stderr": 0.03223276266711712 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5175438596491229, "acc_stderr": 0.04700708033551038, "acc_norm": 0.5175438596491229, "acc_norm_stderr": 0.04700708033551038 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5517241379310345, "acc_stderr": 0.041443118108781526, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.041443118108781526 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4312169312169312, "acc_stderr": 0.025506481698138215, "acc_norm": 0.4312169312169312, "acc_norm_stderr": 0.025506481698138215 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4603174603174603, "acc_stderr": 0.04458029125470973, "acc_norm": 0.4603174603174603, "acc_norm_stderr": 0.04458029125470973 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7935483870967742, "acc_stderr": 0.02302589961718872, "acc_norm": 0.7935483870967742, "acc_norm_stderr": 0.02302589961718872 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 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"mc2_stderr": 0.014375017232568123 }, "harness|winogrande|5": { "acc": 0.8634569850039463, "acc_stderr": 0.009650242900291598 }, "harness|gsm8k|5": { "acc": 0.5003790750568613, "acc_stderr": 0.013772480761626175 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope 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yuwan0/lexica-stable-diffusion-v1-5
--- license: openrail dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 4940747199.862 num_examples: 11838 download_size: 4931661909 dataset_size: 4940747199.862 --- # Stable Diffusion Dataset This is a set of about 80,000 Image-Prompt pairs generated by [stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5). The Prompts come from dataset [Stable-Diffusion-Prompts](https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts) which filtered and extracted from the image finder for Stable Diffusion: "[Lexica.art](https://lexica.art/)".
CyberHarem/miyashita_ai_loveliveschoolidolfestivalallstars
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of miyashita_ai/宮下愛/미야시타아이 (Love Live! School Idol Festival ALL STARS) This is the dataset of miyashita_ai/宮下愛/미야시타아이 (Love Live! School Idol Festival ALL STARS), containing 500 images and their tags. The core tags of this character are `blonde_hair, bangs, yellow_eyes, breasts, sidelocks, orange_eyes, medium_hair, braid, hair_ornament, ponytail`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:-------------------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 500 | 804.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/miyashita_ai_loveliveschoolidolfestivalallstars/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 500 | 382.42 MiB | [Download](https://huggingface.co/datasets/CyberHarem/miyashita_ai_loveliveschoolidolfestivalallstars/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1322 | 903.66 MiB | [Download](https://huggingface.co/datasets/CyberHarem/miyashita_ai_loveliveschoolidolfestivalallstars/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 500 | 678.76 MiB | [Download](https://huggingface.co/datasets/CyberHarem/miyashita_ai_loveliveschoolidolfestivalallstars/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1322 | 1.39 GiB | [Download](https://huggingface.co/datasets/CyberHarem/miyashita_ai_loveliveschoolidolfestivalallstars/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/miyashita_ai_loveliveschoolidolfestivalallstars', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 7 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, off-shoulder_shirt, solo, cleavage, necklace, smile, x_hair_ornament, medium_breasts, midriff, orange_shirt, blush, bracelet, collarbone, gyaru, looking_at_viewer, navel, one_eye_closed, star_(symbol), cellphone, denim, holding_phone, upper_body | | 1 | 14 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, solo, blush, jacket_around_waist, looking_at_viewer, midriff, navel, short_sleeves, smile, white_shirt, cleavage, collarbone, medium_breasts, crop_top, pants, wristband, open_mouth, simple_background, white_background | | 2 | 35 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, nijigasaki_academy_school_uniform, solo, looking_at_viewer, collared_shirt, brown_cardigan, plaid_skirt, short_sleeves, gyaru, smile, summer_uniform, neck_ribbon, pleated_skirt, jacket_around_waist, simple_background, sweater_around_waist, white_shirt, blue_skirt, short_ponytail, white_background, blush, medium_breasts, flower | | 3 | 7 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, brown_cardigan, school_uniform, solo, upper_body, blush, collared_shirt, smile, white_background, white_shirt, looking_at_viewer, red_ribbon, simple_background, closed_mouth, large_breasts, neck_ribbon | | 4 | 26 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 1girl, solo, hair_flower, cleavage, smile, looking_at_viewer, navel, midriff, medium_breasts, short_shorts, star_(symbol), bracelet, collarbone, one_eye_closed, black_shorts, boots, side_ponytail, blush, gyaru, orange_nails, black_footwear, heart_tattoo, necklace, ring, underwear | | 5 | 8 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 1girl, solo, english_text, looking_at_viewer, smile, character_name, happy_birthday, blush, dress, dated, hat, jewelry, side_braid, white_gloves, medium_breasts, side_ponytail | | 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | 1girl, beanie, blue_headwear, long_sleeves, looking_at_viewer, solo, blush, shirt, long_hair, off_shoulder, white_background, collarbone, green_pants, grin, simple_background, sitting, sneakers, tank_top | | 7 | 7 | ![](samples/7/clu7-sample0.png) | ![](samples/7/clu7-sample1.png) | ![](samples/7/clu7-sample2.png) | ![](samples/7/clu7-sample3.png) | ![](samples/7/clu7-sample4.png) | 1girl, looking_at_viewer, smile, solo, dress, blush, white_gloves, heart, open_mouth | | 8 | 61 | ![](samples/8/clu8-sample0.png) | ![](samples/8/clu8-sample1.png) | ![](samples/8/clu8-sample2.png) | ![](samples/8/clu8-sample3.png) | ![](samples/8/clu8-sample4.png) | 1girl, solo, tank_top, midriff, cheerleader, orange_skirt, french_braid, side_ponytail, wristband, collarbone, gyaru, miniskirt, pom_pom_(cheerleading), heart_necklace, navel, hairclip, black_belt, thighhighs, smile, hair_tie, off_shoulder, crop_top, pendant, asymmetrical_legwear | | 9 | 7 | ![](samples/9/clu9-sample0.png) | ![](samples/9/clu9-sample1.png) | ![](samples/9/clu9-sample2.png) | ![](samples/9/clu9-sample3.png) | ![](samples/9/clu9-sample4.png) | 1girl, black_gloves, fingerless_gloves, looking_at_viewer, solo, x_hair_ornament, black_choker, cropped_jacket, red_nails, crop_top, heart_necklace, midriff, navel, one_eye_closed, short_ponytail, belt, character_name, collarbone, french_braid, hairclip, miniskirt, nail_polish, ribbon, black_skirt, blush, bracelet, earrings, fishnet_top, grey_tank_top, grin, hair_bow, layered_skirt, side_braid | | 10 | 15 | ![](samples/10/clu10-sample0.png) | ![](samples/10/clu10-sample1.png) | ![](samples/10/clu10-sample2.png) | ![](samples/10/clu10-sample3.png) | ![](samples/10/clu10-sample4.png) | 1girl, solo, jacket, bracelet, looking_at_viewer, skirt, twintails, demon_horns, demon_tail, nail_polish, fake_horns, fishnet_pantyhose, necklace, smile, black_choker, black_nails, black_necktie, boots, gyaru, holding_weapon, one_eye_closed, white_shirt | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | off-shoulder_shirt | solo | cleavage | necklace | smile | x_hair_ornament | medium_breasts | midriff | orange_shirt | blush | bracelet | collarbone | gyaru | looking_at_viewer | navel | one_eye_closed | star_(symbol) | cellphone | denim | holding_phone | upper_body | jacket_around_waist | short_sleeves | white_shirt | crop_top | pants | wristband | open_mouth | simple_background | white_background | nijigasaki_academy_school_uniform | collared_shirt | brown_cardigan | plaid_skirt | summer_uniform | neck_ribbon | pleated_skirt | sweater_around_waist | blue_skirt | short_ponytail | flower | school_uniform | red_ribbon | closed_mouth | large_breasts | hair_flower | short_shorts | black_shorts | boots | side_ponytail | orange_nails | black_footwear | heart_tattoo | ring | underwear | english_text | character_name | happy_birthday | dress | dated | hat | jewelry | side_braid | white_gloves | beanie | blue_headwear | long_sleeves | shirt | long_hair | off_shoulder | green_pants | grin | sitting | sneakers | tank_top | heart | cheerleader | orange_skirt | french_braid | miniskirt | pom_pom_(cheerleading) | heart_necklace | hairclip | black_belt | thighhighs | hair_tie | pendant | asymmetrical_legwear | black_gloves | fingerless_gloves | black_choker | cropped_jacket | red_nails | belt | nail_polish | ribbon | black_skirt | earrings | fishnet_top | grey_tank_top | hair_bow | layered_skirt | jacket | skirt | twintails | demon_horns | demon_tail | fake_horns | fishnet_pantyhose | black_nails | black_necktie | holding_weapon | |----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:---------------------|:-------|:-----------|:-----------|:--------|:------------------|:-----------------|:----------|:---------------|:--------|:-----------|:-------------|:--------|:--------------------|:--------|:-----------------|:----------------|:------------|:--------|:----------------|:-------------|:----------------------|:----------------|:--------------|:-----------|:--------|:------------|:-------------|:--------------------|:-------------------|:------------------------------------|:-----------------|:-----------------|:--------------|:-----------------|:--------------|:----------------|:-----------------------|:-------------|:-----------------|:---------|:-----------------|:-------------|:---------------|:----------------|:--------------|:---------------|:---------------|:--------|:----------------|:---------------|:-----------------|:---------------|:-------|:------------|:---------------|:-----------------|:-----------------|:--------|:--------|:------|:----------|:-------------|:---------------|:---------|:----------------|:---------------|:--------|:------------|:---------------|:--------------|:-------|:----------|:-----------|:-----------|:--------|:--------------|:---------------|:---------------|:------------|:-------------------------|:-----------------|:-----------|:-------------|:-------------|:-----------|:----------|:-----------------------|:---------------|:--------------------|:---------------|:-----------------|:------------|:-------|:--------------|:---------|:--------------|:-----------|:--------------|:----------------|:-----------|:----------------|:---------|:--------|:------------|:--------------|:-------------|:-------------|:--------------------|:--------------|:----------------|:-----------------| | 0 | 7 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 14 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | | X | X | | X | | X | X | | X | | X | | X | X | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 35 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | | X | | | X | | X | | | X | | | X | X | | | | | | | | X | X | X | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 7 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | X | | X | | | X | | | | | X | | | | X | | | | | | | X | | | X | | | | | X | X | | X | X | | | X | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 26 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | X | | X | X | X | X | | X | X | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 5 | 8 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | X | | X | | | X | | X | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | X | | X | | | | | | | | X | | X | | X | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 7 | 7 | ![](samples/7/clu7-sample0.png) | ![](samples/7/clu7-sample1.png) | ![](samples/7/clu7-sample2.png) | ![](samples/7/clu7-sample3.png) | ![](samples/7/clu7-sample4.png) | X | | X | | | X | | | | | X | | | | X | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 8 | 61 | ![](samples/8/clu8-sample0.png) | ![](samples/8/clu8-sample1.png) | ![](samples/8/clu8-sample2.png) | ![](samples/8/clu8-sample3.png) | ![](samples/8/clu8-sample4.png) | X | | X | | | X | | | X | | | | X | X | | X | | | | | | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | | | | | X | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | 9 | 7 | ![](samples/9/clu9-sample0.png) | ![](samples/9/clu9-sample1.png) | ![](samples/9/clu9-sample2.png) | ![](samples/9/clu9-sample3.png) | ![](samples/9/clu9-sample4.png) | X | | X | | | | X | | X | | X | X | X | | X | X | X | | | | | | | | | X | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | X | | | | | | X | | | | | | | | | X | | | | | | | X | X | | X | X | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | 10 | 15 | ![](samples/10/clu10-sample0.png) | ![](samples/10/clu10-sample1.png) | ![](samples/10/clu10-sample2.png) | ![](samples/10/clu10-sample3.png) | ![](samples/10/clu10-sample4.png) | X | | X | | X | X | | | | | | X | | X | X | | X | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | X |
czyzi0/the-mc-speech-dataset
--- language: - pl license: cc0-1.0 size_categories: - 10K<n<100K task_categories: - text-to-speech - automatic-speech-recognition pretty_name: The MC Speech Dataset dataset_info: features: - name: audio dtype: audio: sampling_rate: 44100 - name: transcript dtype: string - name: id dtype: string splits: - name: train num_bytes: 6985316587.668 num_examples: 24018 download_size: 6174661195 dataset_size: 6985316587.668 configs: - config_name: default data_files: - split: train path: data/train-* --- This is public domain speech dataset consisting of 24018 short audio clips of a single speaker reading sentences in Polish. A transcription is provided for each clip. Clips have total length of more than 22 hours. Texts are in public domain. The audio was recorded in 2021-22 as a part of my [master's thesis](http://dx.doi.org/10.13140/RG.2.2.26293.24800) and is in public domain. If you use this dataset, please cite: ``` @masterthesis{mcspeech, title={Analiza porównawcza korpusów nagrań mowy dla celów syntezy mowy w języku polskim}, author={Czyżnikiewicz, Mateusz}, year={2022}, month={December}, school={Warsaw University of Technology}, type={Master's thesis}, doi={10.13140/RG.2.2.26293.24800}, note={Available at \url{http://dx.doi.org/10.13140/RG.2.2.26293.24800}}, } ``` More info about the dataset can be found at https://github.com/czyzi0/the-mc-speech-dataset Also, if you find this resource helpful, kindly consider leaving a like.
dim/mt_bench_ru
--- dataset_info: features: - name: question_id dtype: int64 - name: category dtype: string - name: turns sequence: string - name: turns_ru sequence: string splits: - name: train num_bytes: 95817 num_examples: 80 download_size: 55916 dataset_size: 95817 --- # Dataset Card for "mt_bench_ru" Автоматически переведенный датасет при помощи facebook/wmt21-dense-24-wide-en-x и потом поправленный мной лично в некоторых местах. Если вы хотите исправить данный датасет, то вы можете использовать данную гугл таблицу https://docs.google.com/spreadsheets/d/1C2znaufnvMU2PyqaDKMTrRKPvS60xtisdcRSlqQGUUs/edit?usp=sharing
Isaak-Carter/JOSIE_Wizard_Vicuna_unfiltered_with_greetings_70k_v3
--- dataset_info: features: - name: sample dtype: string splits: - name: train num_bytes: 458440925 num_examples: 153908 download_size: 211543673 dataset_size: 458440925 configs: - config_name: default data_files: - split: train path: data/train-* --- ```text \n<|context|>\ncurrent time: {time}<|endoftext|>\n<|gökdeniz|>\n{text}<|endoftext|>\n<|josie|>\n{text}<|endoftext|> ```
autoevaluate/autoeval-staging-eval-project-a02353d8-c94a-4476-bd14-15028ee3f918-5452
--- type: predictions tags: - autotrain - evaluation datasets: - autoevaluate/zero-shot-classification-sample eval_info: task: text_zero_shot_classification model: autoevaluate/zero-shot-classification metrics: [] dataset_name: autoevaluate/zero-shot-classification-sample dataset_config: autoevaluate--zero-shot-classification-sample dataset_split: test col_mapping: text: text classes: classes target: target --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: autoevaluate/zero-shot-classification * Dataset: autoevaluate/zero-shot-classification-sample * Config: autoevaluate--zero-shot-classification-sample * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
hjhkoream/thatyear
--- dataset_info: features: - name: episode dtype: int64 - name: name dtype: string - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: sentence dtype: string splits: - name: train num_bytes: 1712756269.6689477 num_examples: 8110 - name: valid num_bytes: 571059550.3310523 num_examples: 2704 - name: test num_bytes: 677624192 num_examples: 3240 download_size: 2269249208 dataset_size: 2961440012.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: valid path: data/valid-* - split: test path: data/test-* ---
StemGene/eurosat-demo
--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': AnnualCrop '1': Forest '2': HerbaceousVegetation '3': Highway '4': Industrial '5': Pasture '6': PermanentCrop '7': Residential '8': River '9': SeaLake splits: - name: train num_bytes: 92168360.0 num_examples: 27000 download_size: 0 dataset_size: 92168360.0 --- # Dataset Card for "eurosat-demo" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
bertbsb/Herbertbetto
--- license: openrail ---
alexandreteles/image-generation-intent
--- dataset_info: features: - name: sentence dtype: string - name: image_intent dtype: float64 splits: - name: train num_bytes: 6071714 num_examples: 72928 download_size: 2468592 dataset_size: 6071714 configs: - config_name: default data_files: - split: train path: data/train-* library_name: datadreamer size_categories: - 10K<n<100K tags: - datadreamer - synthetic - open-mixtral-8x7b ---
MBSPIE/GK_reel
--- dataset_info: features: - name: image dtype: image - name: label dtype: image splits: - name: train num_bytes: 929673642.768 num_examples: 1026 - name: validation num_bytes: 2934980.0 num_examples: 42 download_size: 906545626 dataset_size: 932608622.768 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---
hhhwmws/xuzhu
--- license: cc-by-4.0 task_categories: - text-generation language: - zh size_categories: - 1K<n<10K --- 支持ChatHaruhi2 的虚竹数据，可以使用如下方式调用 ```python from chatharuhi import ChatHaruhi chatbot = ChatHaruhi( role_from_hf = 'hhhwmws/xuzhu', \ llm = 'openai') response = chatbot.chat(role='僧人', text = '你好！') print(response) ``` 上传者: 米唯实 更具体的信息，见 [ChatHaruhi](https://github.com/LC1332/Chat-Haruhi-Suzumiya) 欢迎加入我们的 [众筹角色创建项目](https://github.com/LC1332/Chat-Haruhi-Suzumiya/tree/main/characters/novel_collecting) ### Citation引用 Please cite the repo if you use the data or code in this repo. ``` @misc{li2023chatharuhi, title={ChatHaruhi: Reviving Anime Character in Reality via Large Language Model}, author={Cheng Li and Ziang Leng and Chenxi Yan and Junyi Shen and Hao Wang and Weishi MI and Yaying Fei and Xiaoyang Feng and Song Yan and HaoSheng Wang and Linkang Zhan and Yaokai Jia and Pingyu Wu and Haozhen Sun}, year={2023}, eprint={2308.09597}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```
DylanonWic/common_voice_6_1_th_test
--- dataset_info: features: - name: sentence dtype: string - name: input_ids sequence: int32 - name: input_values sequence: float32 splits: - name: test num_bytes: 586434697 num_examples: 2050 download_size: 559868982 dataset_size: 586434697 --- # Dataset Card for "common_voice_6_1_th_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
liuyanchen1015/MULTI_VALUE_cola_drop_copula_be_locative
--- dataset_info: features: - name: sentence dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 351 num_examples: 6 - name: test num_bytes: 617 num_examples: 9 - name: train num_bytes: 4790 num_examples: 63 download_size: 8445 dataset_size: 5758 --- # Dataset Card for "MULTI_VALUE_cola_drop_copula_be_locative" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
dmayhem93/agieval-gaokao-physics
--- dataset_info: features: - name: query dtype: string - name: choices sequence: string - name: gold sequence: int64 splits: - name: test num_bytes: 136757 num_examples: 200 download_size: 70363 dataset_size: 136757 license: mit --- # Dataset Card for "agieval-gaokao-physics" Dataset taken from https://github.com/microsoft/AGIEval and processed as in that repo. MIT License Copyright (c) Microsoft Corporation. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE @misc{zhong2023agieval, title={AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models}, author={Wanjun Zhong and Ruixiang Cui and Yiduo Guo and Yaobo Liang and Shuai Lu and Yanlin Wang and Amin Saied and Weizhu Chen and Nan Duan}, year={2023}, eprint={2304.06364}, archivePrefix={arXiv}, primaryClass={cs.CL} }
thangvip/data-kalapa-medical-chunked
--- dataset_info: features: - name: text dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 9804125 num_examples: 4399 download_size: 4338224 dataset_size: 9804125 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "data-kalapa-medical-chunked" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
hheiden/us-congress-117-bills
--- license: mit task_categories: - text-classification language: - en tags: - legal pretty_name: US 117th Congress Bills size_categories: - 10K<n<100K --- # Dataset Card for Dataset US 117th Congress Bills ## Dataset Description - **Homepage:** https://hunterheidenreich.com/posts/us-117th-congress-data-exploration/ - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** Hunter Heidenreich ### Dataset Summary The US 117th Congress Bills dataset is a collection of all of the House Resolutions, House Joint Resolutions, Senate Resolutions, and Senate Joint Resolutions introduced during the 117th Congress (2021-2022). The task is to classify each bill into one of thirty-three major policy areas. There are 11,389 bills in the training split and 3,797 bills in the testing split. ### Supported Tasks and Leaderboards - `text-classification`: The goal is to classify each bill into one of thirty-three major policy areas. The dataset contains both a text label (`policy_areas`) and a class integer (`y`). These classes correspond to: - 0: Agriculture and Food - 1: Animals - 2: Armed Forces and National Security - 3: Arts, Culture, Religion - 4: Civil Rights and Liberties, Minority Issues - 5: Commerce - 6: Congress - 7: Crime and Law Enforcement - 8: Economics and Public Finance - 9: Education - 10: Emergency Management - 11: Energy - 12: Environmental Protection - 13: Families - 14: Finance and Financial Sector - 15: Foreign Trade and International Finance - 16: Government Operations and Politics - 17: Health - 18: Housing and Community Development - 19: Immigration - 20: International Affairs - 21: Labor and Employment - 22: Law - 23: Native Americans - 24: Private Legislation - 25: Public Lands and Natural Resources - 26: Science, Technology, Communications - 27: Social Sciences and History - 28: Social Welfare - 29: Sports and Recreation - 30: Taxation - 31: Transportation and Public Works - 32: Water Resources Development There is no leaderboard currently. ### Languages English ## Dataset Structure ### Data Instances ``` index 11047 id H.R.4536 policy_areas Social Welfare cur_summary Welfare for Needs not Weed Act\nThis bill proh... cur_text To prohibit assistance provided under the prog... title Welfare for Needs not Weed Act titles_official To prohibit assistance provided under the prog... titles_short Welfare for Needs not Weed Act sponsor_name Rep. Rice, Tom sponsor_party R sponsor_state SC Name: 0, dtype: object ``` ### Data Fields - `index`: A numeric index - `id`: The unique bill ID as a string - `policy_areas`: The key policy area as a string. This is the classification label. - `cur_summary`: The latest summary of the bill as a string. - `cur_text`: The latest text of the bill as a string. - `title`: The core title of the bill, as labeled on [Congress.gov](congress.gov), as a string. - `titles_official`: All official titles of the bill (or nested legislation) as a string. - `titles_short`: All short titles of the bill (or nested legislation) as a string. - `sponsor_name`: The name of the primary representative sponsoring the legislation as a string. - `sponsor_party`: The party of the primary sponsor as a string. - `sponsor_state`: The home state of the primary sponsor as a string. ### Data Splits The dataset was split into a training and testing split using a stratefied sampling, due to the class imbalance in the dataset. Using scikit-learn, a quarter of the data (by class) is reserved for testing: ``` train_ix, test_ix = train_test_split(ixs, test_size=0.25, stratify=df['y'], random_state=1234567) ``` ## Dataset Creation ### Curation Rationale This dataset was created to provide a new dataset at the intersection of NLP and legislation. Using this data for a simple major topic classification seemed like a practical first step. ### Source Data #### Initial Data Collection and Normalization Data was collected from [congress.gov](congress.gov) with minimal pre-processing. Additional information about this datasets collection is discussed [here](https://hunterheidenreich.com/posts/us-117th-congress-data-exploration/#data---how-it-was-obtained). #### Who are the source language producers? Either [Congressional Research Service](https://www.congress.gov/help/legislative-glossary#glossary_crs) or other congressional staffers. ### Annotations #### Who are the annotators? Congressional Staff ### Personal and Sensitive Information None, this is publicly available text through [congress.gov](congress.gov). ## Additional Information ### Licensing Information MIT License
Multimodal-Fatima/cv-as-nlp-vqa-example
--- dataset_info: features: - name: multiple_choice_answer dtype: string - name: answers sequence: string - name: id_image dtype: int64 - name: question_id dtype: int64 - name: question dtype: string - name: image dtype: image - name: id dtype: int64 - name: blip_caption_Salesforce_blip_image_captioning_large_intensive sequence: string splits: - name: validation num_bytes: 161239813.0 num_examples: 1000 download_size: 155287446 dataset_size: 161239813.0 --- # Dataset Card for "cv-as-nlp-vqa-example" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
baffo32/dataset_test
--- dataset_info: features: - name: text dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 11671025 num_examples: 1129 download_size: 156579 dataset_size: 11671025 --- # Dataset Card for "dataset_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
liuyanchen1015/MULTI_VALUE_mnli_plural_interrogative
--- dataset_info: features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: score dtype: int64 splits: - name: dev_matched num_bytes: 100475 num_examples: 449 - name: dev_mismatched num_bytes: 119576 num_examples: 540 - name: test_matched num_bytes: 131919 num_examples: 565 - name: test_mismatched num_bytes: 131164 num_examples: 571 - name: train num_bytes: 4944373 num_examples: 21350 download_size: 3164077 dataset_size: 5427507 --- # Dataset Card for "MULTI_VALUE_mnli_plural_interrogative" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
minimario/apps_partial_0_300
--- dataset_info: features: - name: problem dtype: string - name: code dtype: string - name: label dtype: int64 - name: full_sample dtype: string - name: where_from dtype: string splits: - name: train num_bytes: 685566901 num_examples: 533723 download_size: 0 dataset_size: 685566901 --- # Dataset Card for "apps_partial_0_300" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
quan246/doc_train
--- configs: - config_name: default data_files: - split: train path: data/train-* - split: dev path: data/dev-* dataset_info: features: - name: translation struct: - name: en dtype: string - name: vi dtype: string splits: - name: train num_bytes: 351140 num_examples: 1000 - name: dev num_bytes: 31689 num_examples: 100 download_size: 221537 dataset_size: 382829 --- # Dataset Card for "doc_train" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
heoji/ko_text
--- dataset_info: features: - name: text dtype: string splits: - name: aihub_koen num_bytes: 12601002 num_examples: 83332 - name: mw_textbook num_bytes: 1722063576 num_examples: 395985 - name: korNLI num_bytes: 40550933 num_examples: 193076 - name: kullm num_bytes: 197495319 num_examples: 152630 - name: mmlu_all num_bytes: 406126621 num_examples: 97765 download_size: 905702609 dataset_size: 2378837451 configs: - config_name: default data_files: - split: aihub_koen path: data/aihub_koen-* - split: mw_textbook path: data/mw_textbook-* - split: korNLI path: data/korNLI-* - split: kullm path: data/kullm-* - split: mmlu_all path: data/mmlu_all-* ---
wac81/tumours_chinese
--- license: gpl-3.0 ---
isashap/pleasework
--- language: - en pretty_name: AI Resume --- # Dataset Card for Dataset Name ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### 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 ### 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 [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
Doub7e/SDv2-Spatial-Iterative-1
--- dataset_info: features: - name: image dtype: image - name: prompt dtype: string - name: T5_last_hidden_states sequence: sequence: sequence: float32 splits: - name: train num_bytes: 1240283507.0 num_examples: 1000 download_size: 1074022406 dataset_size: 1240283507.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
CyberHarem/tamayo_demonslayer
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of tamayo (Kimetsu no Yaiba) This is the dataset of tamayo (Kimetsu no Yaiba), containing 36 images and their tags. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).
bruno17eyef/cristianoronaldo
--- license: openrail ---
open-llm-leaderboard/details_KoboldAI__GPT-J-6B-Shinen
--- pretty_name: Evaluation run of KoboldAI/GPT-J-6B-Shinen dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [KoboldAI/GPT-J-6B-Shinen](https://huggingface.co/KoboldAI/GPT-J-6B-Shinen) on\ \ the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_KoboldAI__GPT-J-6B-Shinen\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-21T16:38:56.875450](https://huggingface.co/datasets/open-llm-leaderboard/details_KoboldAI__GPT-J-6B-Shinen/blob/main/results_2023-10-21T16-38-56.875450.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.0010486577181208054,\n\ \ \"em_stderr\": 0.00033145814652192477,\n \"f1\": 0.047103607382550344,\n\ \ \"f1_stderr\": 0.001175475504491836,\n \"acc\": 0.330297940428669,\n\ \ \"acc_stderr\": 0.00865604909042797\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.0010486577181208054,\n \"em_stderr\": 0.00033145814652192477,\n\ \ \"f1\": 0.047103607382550344,\n \"f1_stderr\": 0.001175475504491836\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.019711902956785442,\n \ \ \"acc_stderr\": 0.0038289829787357113\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6408839779005525,\n \"acc_stderr\": 0.013483115202120229\n\ \ }\n}\n```" repo_url: https://huggingface.co/KoboldAI/GPT-J-6B-Shinen leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|arc:challenge|25_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-07-19T15:56:59.519326.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_21T16_38_56.875450 path: - '**/details_harness|drop|3_2023-10-21T16-38-56.875450.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-21T16-38-56.875450.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_21T16_38_56.875450 path: - '**/details_harness|gsm8k|5_2023-10-21T16-38-56.875450.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-21T16-38-56.875450.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hellaswag|10_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-19T15:56:59.519326.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-management|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-virology|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T15:56:59.519326.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T15_56_59.519326 path: - '**/details_harness|truthfulqa:mc|0_2023-07-19T15:56:59.519326.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-07-19T15:56:59.519326.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_21T16_38_56.875450 path: - '**/details_harness|winogrande|5_2023-10-21T16-38-56.875450.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-21T16-38-56.875450.parquet' - config_name: results data_files: - split: 2023_07_19T15_56_59.519326 path: - results_2023-07-19T15:56:59.519326.parquet - split: 2023_10_21T16_38_56.875450 path: - results_2023-10-21T16-38-56.875450.parquet - split: latest path: - results_2023-10-21T16-38-56.875450.parquet --- # Dataset Card for Evaluation run of KoboldAI/GPT-J-6B-Shinen ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/KoboldAI/GPT-J-6B-Shinen - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [KoboldAI/GPT-J-6B-Shinen](https://huggingface.co/KoboldAI/GPT-J-6B-Shinen) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_KoboldAI__GPT-J-6B-Shinen", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-21T16:38:56.875450](https://huggingface.co/datasets/open-llm-leaderboard/details_KoboldAI__GPT-J-6B-Shinen/blob/main/results_2023-10-21T16-38-56.875450.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.0010486577181208054, "em_stderr": 0.00033145814652192477, "f1": 0.047103607382550344, "f1_stderr": 0.001175475504491836, "acc": 0.330297940428669, "acc_stderr": 0.00865604909042797 }, "harness|drop|3": { "em": 0.0010486577181208054, "em_stderr": 0.00033145814652192477, "f1": 0.047103607382550344, "f1_stderr": 0.001175475504491836 }, "harness|gsm8k|5": { "acc": 0.019711902956785442, "acc_stderr": 0.0038289829787357113 }, "harness|winogrande|5": { "acc": 0.6408839779005525, "acc_stderr": 0.013483115202120229 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### 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 ### 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 [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
hojzas/sophie2
--- license: apache-2.0 ---
mask-distilled-onesec-cv12-each-chunk-uniq/chunk_2
--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 907867956.0 num_examples: 178293 download_size: 922520202 dataset_size: 907867956.0 --- # Dataset Card for "chunk_2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ytzi/the-stack-dedup-python-filtered-dec_gen_async
--- dataset_info: config_name: main features: - name: hexsha dtype: string - name: size dtype: int64 - name: ext dtype: string - name: lang dtype: string - name: max_stars_repo_path dtype: string - name: max_stars_repo_name dtype: string - name: max_stars_repo_head_hexsha dtype: string - name: max_stars_repo_licenses sequence: string - name: max_stars_count dtype: int64 - name: max_stars_repo_stars_event_min_datetime dtype: string - name: max_stars_repo_stars_event_max_datetime dtype: string - name: max_issues_repo_path dtype: string - name: max_issues_repo_name dtype: string - name: max_issues_repo_head_hexsha dtype: string - name: max_issues_repo_licenses sequence: string - name: max_issues_count dtype: int64 - name: max_issues_repo_issues_event_min_datetime dtype: string - name: max_issues_repo_issues_event_max_datetime dtype: string - name: max_forks_repo_path dtype: string - name: max_forks_repo_name dtype: string - name: max_forks_repo_head_hexsha dtype: string - name: max_forks_repo_licenses sequence: string - name: max_forks_count dtype: int64 - name: max_forks_repo_forks_event_min_datetime dtype: string - name: max_forks_repo_forks_event_max_datetime dtype: string - name: content dtype: string - name: avg_line_length dtype: float64 - name: max_line_length dtype: int64 - name: alphanum_fraction dtype: float64 - name: original_content dtype: string - name: filtered:remove_decorators dtype: int64 - name: filtered:remove_async dtype: int64 - name: filtered:remove_generators dtype: int64 - name: filtered:remove_delete_markers dtype: int64 splits: - name: train num_bytes: 128851530736 num_examples: 12960052 download_size: 49703710584 dataset_size: 128851530736 configs: - config_name: main data_files: - split: train path: main/train-* --- This is a copy of [bigcode/the-stack-dedup](https://huggingface.co/datasets/bigcode/the-stack-dedup) with some filters applied. The filters filtered in this dataset are: - remove_decorators - remove_async - remove_generators - remove_delete_markers
aneeshas/imsdb-500tokenhorror-movie-scripts
--- dataset_info: features: - name: Horror dtype: string splits: - name: train num_bytes: 76307 num_examples: 158 download_size: 50645 dataset_size: 76307 --- # Dataset Card for "imsdb-500tokenhorror-movie-scripts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-nutrition-neg-prepend
--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: negate_openai_prompt struct: - name: content dtype: string - name: role dtype: string - name: neg_question dtype: string - name: fewshot_context dtype: string - name: ori_prompt dtype: string - name: neg_prompt dtype: string - name: fewshot_context_neg dtype: string - name: fewshot_context_ori dtype: string splits: - name: dev num_bytes: 9632 num_examples: 5 - name: test num_bytes: 3616646 num_examples: 306 download_size: 250211 dataset_size: 3626278 configs: - config_name: default data_files: - split: dev path: data/dev-* - split: test path: data/test-* --- # Dataset Card for "mmlu-nutrition-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
minh21/COVID-QA-testset-biencoder-data-65_25_10
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: context_chunks sequence: string - name: document_id dtype: int64 - name: id dtype: int64 - name: context dtype: string splits: - name: train num_bytes: 16708455 num_examples: 201 download_size: 442083 dataset_size: 16708455 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "COVID-QA-testset-biencoder-data-65_25_10" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Rakshit122/zaa11
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: tokens sequence: string - name: ner_tags sequence: string splits: - name: train num_bytes: 46270 num_examples: 226 download_size: 16707 dataset_size: 46270 --- # Dataset Card for "zaa11" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
eDsny/lukas
--- license: openrail ---
open-llm-leaderboard/details_sartmis1__starcoder-finetune-selfinstruct
--- pretty_name: Evaluation run of sartmis1/starcoder-finetune-selfinstruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [sartmis1/starcoder-finetune-selfinstruct](https://huggingface.co/sartmis1/starcoder-finetune-selfinstruct)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 3 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_sartmis1__starcoder-finetune-selfinstruct\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-23T09:06:26.158683](https://huggingface.co/datasets/open-llm-leaderboard/details_sartmis1__starcoder-finetune-selfinstruct/blob/main/results_2023-09-23T09-06-26.158683.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.0012583892617449664,\n\ \ \"em_stderr\": 0.00036305608931189545,\n \"f1\": 0.04220742449664442,\n\ \ \"f1_stderr\": 0.0011048606881245398,\n \"acc\": 0.31919735419373096,\n\ \ \"acc_stderr\": 0.01022815770603217\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.0012583892617449664,\n \"em_stderr\": 0.00036305608931189545,\n\ \ \"f1\": 0.04220742449664442,\n \"f1_stderr\": 0.0011048606881245398\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.060652009097801364,\n \ \ \"acc_stderr\": 0.0065747333814057925\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.5777426992896606,\n \"acc_stderr\": 0.013881582030658549\n\ \ }\n}\n```" repo_url: https://huggingface.co/sartmis1/starcoder-finetune-selfinstruct leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_drop_3 data_files: - split: 2023_09_23T09_06_26.158683 path: - '**/details_harness|drop|3_2023-09-23T09-06-26.158683.parquet' - split: latest path: - '**/details_harness|drop|3_2023-09-23T09-06-26.158683.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_23T09_06_26.158683 path: - '**/details_harness|gsm8k|5_2023-09-23T09-06-26.158683.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-09-23T09-06-26.158683.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_23T09_06_26.158683 path: - '**/details_harness|winogrande|5_2023-09-23T09-06-26.158683.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-09-23T09-06-26.158683.parquet' - config_name: results data_files: - split: 2023_09_23T09_06_26.158683 path: - results_2023-09-23T09-06-26.158683.parquet - split: latest path: - results_2023-09-23T09-06-26.158683.parquet --- # Dataset Card for Evaluation run of sartmis1/starcoder-finetune-selfinstruct ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/sartmis1/starcoder-finetune-selfinstruct - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [sartmis1/starcoder-finetune-selfinstruct](https://huggingface.co/sartmis1/starcoder-finetune-selfinstruct) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 3 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_sartmis1__starcoder-finetune-selfinstruct", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-23T09:06:26.158683](https://huggingface.co/datasets/open-llm-leaderboard/details_sartmis1__starcoder-finetune-selfinstruct/blob/main/results_2023-09-23T09-06-26.158683.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.0012583892617449664, "em_stderr": 0.00036305608931189545, "f1": 0.04220742449664442, "f1_stderr": 0.0011048606881245398, "acc": 0.31919735419373096, "acc_stderr": 0.01022815770603217 }, "harness|drop|3": { "em": 0.0012583892617449664, "em_stderr": 0.00036305608931189545, "f1": 0.04220742449664442, "f1_stderr": 0.0011048606881245398 }, "harness|gsm8k|5": { "acc": 0.060652009097801364, "acc_stderr": 0.0065747333814057925 }, "harness|winogrande|5": { "acc": 0.5777426992896606, "acc_stderr": 0.013881582030658549 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### 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 ### 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 [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
juniorsamp/mcdaniel
--- license: openrail ---
temasarkisov/SolidLogosID_converted_processed_V1
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 1029877.0 num_examples: 48 download_size: 1030924 dataset_size: 1029877.0 --- # Dataset Card for "SolidLogosID_converted_processed_V1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
bdsaglam/musique-jerx-sft
--- dataset_info: features: - name: text dtype: string - name: triplets sequence: string splits: - name: train num_bytes: 85382 num_examples: 110 download_size: 39095 dataset_size: 85382 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_WizardLM__WizardCoder-15B-V1.0
--- pretty_name: Evaluation run of WizardLM/WizardCoder-15B-V1.0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [WizardLM/WizardCoder-15B-V1.0](https://huggingface.co/WizardLM/WizardCoder-15B-V1.0)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_WizardLM__WizardCoder-15B-V1.0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-18T05:39:03.080415](https://huggingface.co/datasets/open-llm-leaderboard/details_WizardLM__WizardCoder-15B-V1.0/blob/main/results_2023-10-18T05-39-03.080415.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.10171979865771812,\n\ \ \"em_stderr\": 0.003095624755865799,\n \"f1\": 0.1654624580536908,\n\ \ \"f1_stderr\": 0.0033020160713134682,\n \"acc\": 0.2864625625234491,\n\ \ \"acc_stderr\": 0.008973810218487487\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.10171979865771812,\n \"em_stderr\": 0.003095624755865799,\n\ \ \"f1\": 0.1654624580536908,\n \"f1_stderr\": 0.0033020160713134682\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.02122820318423048,\n \ \ \"acc_stderr\": 0.003970449129848635\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.5516969218626677,\n \"acc_stderr\": 0.013977171307126338\n\ \ }\n}\n```" repo_url: https://huggingface.co/WizardLM/WizardCoder-15B-V1.0 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|arc:challenge|25_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-07-19T20:24:20.327625.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_18T05_39_03.080415 path: - '**/details_harness|drop|3_2023-10-18T05-39-03.080415.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-18T05-39-03.080415.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_18T05_39_03.080415 path: - '**/details_harness|gsm8k|5_2023-10-18T05-39-03.080415.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-18T05-39-03.080415.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hellaswag|10_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-19T20:24:20.327625.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-management|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-virology|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T20:24:20.327625.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T20_24_20.327625 path: - '**/details_harness|truthfulqa:mc|0_2023-07-19T20:24:20.327625.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-07-19T20:24:20.327625.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_18T05_39_03.080415 path: - '**/details_harness|winogrande|5_2023-10-18T05-39-03.080415.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-18T05-39-03.080415.parquet' - config_name: results data_files: - split: 2023_07_19T20_24_20.327625 path: - results_2023-07-19T20:24:20.327625.parquet - split: 2023_10_18T05_39_03.080415 path: - results_2023-10-18T05-39-03.080415.parquet - split: latest path: - results_2023-10-18T05-39-03.080415.parquet --- # Dataset Card for Evaluation run of WizardLM/WizardCoder-15B-V1.0 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/WizardLM/WizardCoder-15B-V1.0 - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [WizardLM/WizardCoder-15B-V1.0](https://huggingface.co/WizardLM/WizardCoder-15B-V1.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_WizardLM__WizardCoder-15B-V1.0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-18T05:39:03.080415](https://huggingface.co/datasets/open-llm-leaderboard/details_WizardLM__WizardCoder-15B-V1.0/blob/main/results_2023-10-18T05-39-03.080415.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.10171979865771812, "em_stderr": 0.003095624755865799, "f1": 0.1654624580536908, "f1_stderr": 0.0033020160713134682, "acc": 0.2864625625234491, "acc_stderr": 0.008973810218487487 }, "harness|drop|3": { "em": 0.10171979865771812, "em_stderr": 0.003095624755865799, "f1": 0.1654624580536908, "f1_stderr": 0.0033020160713134682 }, "harness|gsm8k|5": { "acc": 0.02122820318423048, "acc_stderr": 0.003970449129848635 }, "harness|winogrande|5": { "acc": 0.5516969218626677, "acc_stderr": 0.013977171307126338 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### 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 ### 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 [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
breno30/Karlos
--- license: openrail ---
suseongkim87/testCodeDataset
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 7786 num_examples: 32 download_size: 4172 dataset_size: 7786 configs: - config_name: default data_files: - split: train path: data/train-* ---
yashraizad/yelp-open-dataset-top-reviews
--- license: apache-2.0 ---
DucHaiten/live-action
--- license: openrail ---
results-sd-v1-5-sd-v2-1-if-v1-0-karlo/077f7b8d
--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 178 num_examples: 10 download_size: 1331 dataset_size: 178 --- # Dataset Card for "077f7b8d" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
wenzhuoliu/dataset-long-context-for-e5-finetune
--- dataset_info: - config_name: Testset features: - name: query dtype: string - name: passage dtype: string splits: - name: philosophie num_bytes: 607946 num_examples: 216 download_size: 352564 dataset_size: 607946 - config_name: testset features: - name: query dtype: string - name: passage dtype: string splits: - name: llm_wikitexts num_bytes: 355087 num_examples: 99 - name: llm_wiki_single_long_document num_bytes: 367297 num_examples: 148 download_size: 467511 dataset_size: 722384 - config_name: trainset features: - name: query dtype: string - name: passage dtype: string splits: - name: wikihow_summary_passage num_bytes: 332619989 num_examples: 111637 - name: llm_generated_question_passage num_bytes: 74929318 num_examples: 20000 - name: qestion_passage_fr num_bytes: 18560943 num_examples: 20535 download_size: 243783107 dataset_size: 426110250 configs: - config_name: Testset data_files: - split: philosophie path: Testset/philosophie-* - config_name: testset data_files: - split: llm_wikitexts path: llm_eval/train-* - split: single_document path: llm_eval/single_document-* - config_name: trainset data_files: - split: wikihow_summary_passage path: data/wikihow_summary_passage-* - split: llm_generated_question_passage path: data/llm_generated_question_passage-* - split: qestion_passage_fr path: data/qestion_passage_fr-* --- # Dataset Card for "dataset-long-context-for-e5-finetune" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
lodrick-the-lafted/Hermes-100K
--- language: - eng pretty_name: Hermes-100K tags: - distillation - synthetic data - gpt task_categories: - text-generation --- It's 100K rows sampled from teknium/openhermes (not the newer 2.5). Filtered some GPTisms I dislike out, and removed rows with short output as well to bias towards longer answers. bad_phrases = ["couldn't help but", "can't resist", "random", "unethical", "I'm sorry, but", "I'm sorry but", "as an AI", "as a Language Model", "AI Language Model", "language model", "However, it is important to", "However, it's important", "ethical guidelines", "just an AI", "within my programming", "illegal", "cannot provide"]
results-sd-v1-5-sd-v2-1-if-v1-0-karlo/720c5d3f
--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 182 num_examples: 10 download_size: 1341 dataset_size: 182 --- # Dataset Card for "720c5d3f" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
clue2solve/langchain-docs-guides
--- license: apache-2.0 language: - en tags: - langchain - langchain-docs - langchain-docs-guides pretty_name: 'Langchain Docs - Guides ' size_categories: - 1K<n<10K ---
open-llm-leaderboard/details_ehartford__Samantha-1.11-CodeLlama-34b
--- pretty_name: Evaluation run of ehartford/Samantha-1.11-CodeLlama-34b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ehartford/Samantha-1.11-CodeLlama-34b](https://huggingface.co/ehartford/Samantha-1.11-CodeLlama-34b)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_ehartford__Samantha-1.11-CodeLlama-34b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-22T11:44:05.953431](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__Samantha-1.11-CodeLlama-34b/blob/main/results_2023-10-22T11-44-05.953431.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.03460570469798658,\n\ \ \"em_stderr\": 0.0018718276753995871,\n \"f1\": 0.0896822567114094,\n\ \ \"f1_stderr\": 0.002178835707458538,\n \"acc\": 0.464067454416748,\n\ \ \"acc_stderr\": 0.011642141344686711\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.03460570469798658,\n \"em_stderr\": 0.0018718276753995871,\n\ \ \"f1\": 0.0896822567114094,\n \"f1_stderr\": 0.002178835707458538\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.19332827899924185,\n \ \ \"acc_stderr\": 0.010877733223180565\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7348066298342542,\n \"acc_stderr\": 0.01240654946619286\n\ \ }\n}\n```" repo_url: https://huggingface.co/ehartford/Samantha-1.11-CodeLlama-34b leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|arc:challenge|25_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-26T02:57:56.123943.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_22T11_44_05.953431 path: - '**/details_harness|drop|3_2023-10-22T11-44-05.953431.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-22T11-44-05.953431.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_22T11_44_05.953431 path: - '**/details_harness|gsm8k|5_2023-10-22T11-44-05.953431.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-22T11-44-05.953431.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hellaswag|10_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-26T02:57:56.123943.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-management|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-26T02:57:56.123943.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_26T02_57_56.123943 path: - '**/details_harness|truthfulqa:mc|0_2023-08-26T02:57:56.123943.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-26T02:57:56.123943.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_22T11_44_05.953431 path: - '**/details_harness|winogrande|5_2023-10-22T11-44-05.953431.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-22T11-44-05.953431.parquet' - config_name: results data_files: - split: 2023_08_26T02_57_56.123943 path: - results_2023-08-26T02:57:56.123943.parquet - split: 2023_10_22T11_44_05.953431 path: - results_2023-10-22T11-44-05.953431.parquet - split: latest path: - results_2023-10-22T11-44-05.953431.parquet --- # Dataset Card for Evaluation run of ehartford/Samantha-1.11-CodeLlama-34b ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/ehartford/Samantha-1.11-CodeLlama-34b - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [ehartford/Samantha-1.11-CodeLlama-34b](https://huggingface.co/ehartford/Samantha-1.11-CodeLlama-34b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_ehartford__Samantha-1.11-CodeLlama-34b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-22T11:44:05.953431](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__Samantha-1.11-CodeLlama-34b/blob/main/results_2023-10-22T11-44-05.953431.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.03460570469798658, "em_stderr": 0.0018718276753995871, "f1": 0.0896822567114094, "f1_stderr": 0.002178835707458538, "acc": 0.464067454416748, "acc_stderr": 0.011642141344686711 }, "harness|drop|3": { "em": 0.03460570469798658, "em_stderr": 0.0018718276753995871, "f1": 0.0896822567114094, "f1_stderr": 0.002178835707458538 }, "harness|gsm8k|5": { "acc": 0.19332827899924185, "acc_stderr": 0.010877733223180565 }, "harness|winogrande|5": { "acc": 0.7348066298342542, "acc_stderr": 0.01240654946619286 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### 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 ### 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 [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
Shikshya/revised_tyaani_jwellery_dataset
--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 108904.0 num_examples: 9 download_size: 104747 dataset_size: 108904.0 --- # Dataset Card for "revised_tyaani_jwellery_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CyberHarem/scylla_azurlane
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of scylla/シラ/斯库拉 (Azur Lane) This is the dataset of scylla/シラ/斯库拉 (Azur Lane), containing 89 images and their tags. The core tags of this character are `long_hair, breasts, red_eyes, bangs, large_breasts, white_hair, very_long_hair, hairband, grey_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 89 | 150.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/scylla_azurlane/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 89 | 70.99 MiB | [Download](https://huggingface.co/datasets/CyberHarem/scylla_azurlane/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 224 | 155.84 MiB | [Download](https://huggingface.co/datasets/CyberHarem/scylla_azurlane/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 89 | 125.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/scylla_azurlane/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 224 | 239.29 MiB | [Download](https://huggingface.co/datasets/CyberHarem/scylla_azurlane/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/scylla_azurlane', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 23 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, solo, looking_at_viewer, white_shirt, black_headwear, long_sleeves, smile, beret, blush, collared_shirt, black_jacket, black_skirt, pleated_skirt, black_pantyhose, closed_mouth, off_shoulder, cleavage, holding | | 1 | 37 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, cleavage, looking_at_viewer, white_dress, solo, elbow_gloves, white_gloves, blush, smile, frills, simple_background, white_background, closed_mouth, hair_flower | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | looking_at_viewer | white_shirt | black_headwear | long_sleeves | smile | beret | blush | collared_shirt | black_jacket | black_skirt | pleated_skirt | black_pantyhose | closed_mouth | off_shoulder | cleavage | holding | white_dress | elbow_gloves | white_gloves | frills | simple_background | white_background | hair_flower | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------------------|:--------------|:-----------------|:---------------|:--------|:--------|:--------|:-----------------|:---------------|:--------------|:----------------|:------------------|:---------------|:---------------|:-----------|:----------|:--------------|:---------------|:---------------|:---------|:--------------------|:-------------------|:--------------| | 0 | 23 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | 1 | 37 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | | | | X | | X | | | | | | X | | X | | X | X | X | X | X | X | X |
meerlubna/NewGPT2Dataset
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string splits: - name: train num_bytes: 17924 num_examples: 79 download_size: 9894 dataset_size: 17924 --- # Dataset Card for "NewGPT2Dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
arianhosseini/summarize_dpo1b1_ngen10_20k
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 35964940 num_examples: 20000 download_size: 20633481 dataset_size: 35964940 --- # Dataset Card for "summarize_dpo1b1_ngen10_20k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CyberHarem/crow_nikke
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of crow/クロウ/克拉乌/크로우 (Nikke: Goddess of Victory) This is the dataset of crow/クロウ/克拉乌/크로우 (Nikke: Goddess of Victory), containing 27 images and their tags. The core tags of this character are `black_hair, breasts, short_hair, green_eyes, multicolored_hair, red_hair, large_breasts, streaked_hair, ear_piercing`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:----------|:------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 27 | 43.02 MiB | [Download](https://huggingface.co/datasets/CyberHarem/crow_nikke/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 27 | 21.14 MiB | [Download](https://huggingface.co/datasets/CyberHarem/crow_nikke/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 66 | 46.04 MiB | [Download](https://huggingface.co/datasets/CyberHarem/crow_nikke/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 27 | 36.32 MiB | [Download](https://huggingface.co/datasets/CyberHarem/crow_nikke/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 66 | 69.58 MiB | [Download](https://huggingface.co/datasets/CyberHarem/crow_nikke/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/crow_nikke', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-----------------------------------------------------------------------------------------------------------------| | 0 | 27 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, looking_at_viewer, piercing, tattoo, jewelry, solo, cleavage, black_choker, bare_shoulders, jacket, navel | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | piercing | tattoo | jewelry | solo | cleavage | black_choker | bare_shoulders | jacket | navel | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:-----------|:---------|:----------|:-------|:-----------|:---------------|:-----------------|:---------|:--------| | 0 | 27 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X |
fnlp/moss-003-sft-data
--- license: cc-by-4.0 --- # moss-003-sft-data ## Conversation Without Plugins ### Categories | Category | \# samples | |----------------------|-----------:| | Brainstorming | 99,162 | | Complex Instruction | 95,574 | | Code | 198,079 | | Role Playing | 246,375 | | Writing | 341,087 | | Harmless | 74,573 | | Others | 19,701 | | Total | 1,074,551 | **Others** contains two categories: **Continue**(9,839) and **Switching**(9,862). The **Continue** category refers to instances in a conversation where the user asks the system to continue outputting the response from the previous round that was not completed. The **Switching** category refers to instances in a conversation where the user switches the language they are using. We remove the data for honesty because it contains private information.
Megalar/qa1
--- license: apache-2.0 ---
Organika/StackStar_subreddits
--- dataset_info: features: - name: post_ID dtype: string - name: subreddit dtype: string - name: author dtype: string - name: datestamp dtype: float64 - name: comment_ID dtype: string - name: text dtype: string splits: - name: train num_bytes: 355348.3325415677 num_examples: 336 - name: test num_bytes: 89894.6674584323 num_examples: 85 download_size: 270497 dataset_size: 445243.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
fredaa/test5
--- license: mit ---
CyberHarem/yanase_miyuki_idolmastercinderellagirls
--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of yanase_miyuki/柳瀬美由紀 (THE iDOLM@STER: Cinderella Girls) This is the dataset of yanase_miyuki/柳瀬美由紀 (THE iDOLM@STER: Cinderella Girls), containing 51 images and their tags. The core tags of this character are `brown_hair, short_hair, hair_ornament, yellow_eyes, side_ponytail, brown_eyes`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:----------|:-----------------------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 51 | 53.81 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yanase_miyuki_idolmastercinderellagirls/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 51 | 33.59 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yanase_miyuki_idolmastercinderellagirls/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 112 | 65.38 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yanase_miyuki_idolmastercinderellagirls/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 51 | 47.06 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yanase_miyuki_idolmastercinderellagirls/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 112 | 89.54 MiB | [Download](https://huggingface.co/datasets/CyberHarem/yanase_miyuki_idolmastercinderellagirls/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/yanase_miyuki_idolmastercinderellagirls', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:------------------------------------------------------| | 0 | 51 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, open_mouth, solo, blush, looking_at_viewer, :d | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | open_mouth | solo | blush | looking_at_viewer | :d | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------------|:-------|:--------|:--------------------|:-----| | 0 | 51 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X |
tollefj/rettsavgjoerelser_100samples_embeddings
--- dataset_info: features: - name: url dtype: string - name: keywords sequence: string - name: text dtype: string - name: sentences sequence: string - name: summary sequence: string - name: embedding sequence: sequence: float32 splits: - name: train num_bytes: 73887305 num_examples: 100 download_size: 71145367 dataset_size: 73887305 language: - 'no' --- # Dataset Card for "rettsavgjoerelser_100samples_embeddings" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
autoevaluate/autoeval-eval-kmfoda__booksum-kmfoda__booksum-9d5680-2758781772
--- type: predictions tags: - autotrain - evaluation datasets: - kmfoda/booksum eval_info: task: summarization model: pszemraj/tglobal-large-booksum-WIP4-r1 metrics: [] dataset_name: kmfoda/booksum dataset_config: kmfoda--booksum dataset_split: test col_mapping: text: chapter target: summary_text --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: pszemraj/tglobal-large-booksum-WIP4-r1 * Dataset: kmfoda/booksum * Config: kmfoda--booksum * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@pszemraj](https://huggingface.co/pszemraj) for evaluating this model.
autoevaluate/autoeval-staging-eval-project-Blaise-g__SumPubmed-f53a4404-12415653
--- type: predictions tags: - autotrain - evaluation datasets: - Blaise-g/SumPubmed eval_info: task: summarization model: Blaise-g/led-large-sumpubmed metrics: [] dataset_name: Blaise-g/SumPubmed dataset_config: Blaise-g--SumPubmed dataset_split: test col_mapping: text: text target: abstract --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Summarization * Model: Blaise-g/led-large-sumpubmed * Dataset: Blaise-g/SumPubmed * Config: Blaise-g--SumPubmed * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@Blaise-g](https://huggingface.co/Blaise-g) for evaluating this model.
VishwaSharma84/stack_overflow_data
--- license: openrail ---
jtatman/medical-sci-instruct-1m-sharegpt
--- dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 1081196346 num_examples: 1255224 download_size: 556896933 dataset_size: 1081196346 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "medical-sci-instruct-1m-sharegpt" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ibranze/araproje_hellaswag_en_conf_mgpt_worstscore
--- dataset_info: features: - name: ind dtype: int32 - name: activity_label dtype: string - name: ctx_a dtype: string - name: ctx_b dtype: string - name: ctx dtype: string - name: endings sequence: string - name: source_id dtype: string - name: split dtype: string - name: split_type dtype: string - name: label dtype: string splits: - name: validation num_bytes: 149738.0 num_examples: 250 download_size: 0 dataset_size: 149738.0 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "araproje_hellaswag_en_conf_mgpt_worstscore" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ohhhchank3/VONHUYdemo
--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 35331137 num_examples: 40000 download_size: 20434360 dataset_size: 35331137 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_Faradaylab__ARIA-70B-V2
--- pretty_name: Evaluation run of Faradaylab/ARIA-70B-V2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Faradaylab/ARIA-70B-V2](https://huggingface.co/Faradaylab/ARIA-70B-V2) on the\ \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Faradaylab__ARIA-70B-V2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-25T19:48:19.078343](https://huggingface.co/datasets/open-llm-leaderboard/details_Faradaylab__ARIA-70B-V2/blob/main/results_2023-10-25T19-48-19.078343.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.12174916107382551,\n\ \ \"em_stderr\": 0.0033487438315364985,\n \"f1\": 0.18035549496644265,\n\ \ \"f1_stderr\": 0.0034191831504093964,\n \"acc\": 0.552493667621485,\n\ \ \"acc_stderr\": 0.011672124185183144\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.12174916107382551,\n \"em_stderr\": 0.0033487438315364985,\n\ \ \"f1\": 0.18035549496644265,\n \"f1_stderr\": 0.0034191831504093964\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2880970432145565,\n \ \ \"acc_stderr\": 0.012474469737197917\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8168902920284136,\n \"acc_stderr\": 0.01086977863316837\n\ \ }\n}\n```" repo_url: https://huggingface.co/Faradaylab/ARIA-70B-V2 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|arc:challenge|25_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-14T05-14-04.383698.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_25T19_48_19.078343 path: - '**/details_harness|drop|3_2023-10-25T19-48-19.078343.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-25T19-48-19.078343.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_25T19_48_19.078343 path: - '**/details_harness|gsm8k|5_2023-10-25T19-48-19.078343.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-25T19-48-19.078343.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hellaswag|10_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-14T05-14-04.383698.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-management|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-14T05-14-04.383698.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_14T05_14_04.383698 path: - '**/details_harness|truthfulqa:mc|0_2023-09-14T05-14-04.383698.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-14T05-14-04.383698.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_25T19_48_19.078343 path: - '**/details_harness|winogrande|5_2023-10-25T19-48-19.078343.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-25T19-48-19.078343.parquet' - config_name: results data_files: - split: 2023_09_14T05_14_04.383698 path: - results_2023-09-14T05-14-04.383698.parquet - split: 2023_10_25T19_48_19.078343 path: - results_2023-10-25T19-48-19.078343.parquet - split: latest path: - results_2023-10-25T19-48-19.078343.parquet --- # Dataset Card for Evaluation run of Faradaylab/ARIA-70B-V2 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/Faradaylab/ARIA-70B-V2 - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [Faradaylab/ARIA-70B-V2](https://huggingface.co/Faradaylab/ARIA-70B-V2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Faradaylab__ARIA-70B-V2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-25T19:48:19.078343](https://huggingface.co/datasets/open-llm-leaderboard/details_Faradaylab__ARIA-70B-V2/blob/main/results_2023-10-25T19-48-19.078343.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "em": 0.12174916107382551, "em_stderr": 0.0033487438315364985, "f1": 0.18035549496644265, "f1_stderr": 0.0034191831504093964, "acc": 0.552493667621485, "acc_stderr": 0.011672124185183144 }, "harness|drop|3": { "em": 0.12174916107382551, "em_stderr": 0.0033487438315364985, "f1": 0.18035549496644265, "f1_stderr": 0.0034191831504093964 }, "harness|gsm8k|5": { "acc": 0.2880970432145565, "acc_stderr": 0.012474469737197917 }, "harness|winogrande|5": { "acc": 0.8168902920284136, "acc_stderr": 0.01086977863316837 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### 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 ### 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 [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]
mHossain/final_train_v2_360000
--- dataset_info: features: - name: 'Unnamed: 0' dtype: int64 - name: input_text dtype: string - name: target_text dtype: string - name: prefix dtype: string splits: - name: train num_bytes: 9145644.3 num_examples: 27000 - name: test num_bytes: 1016182.7 num_examples: 3000 download_size: 4459398 dataset_size: 10161827.0 --- # Dataset Card for "final_train_v2_360000" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
vilm/the-stack-smol-xl-cleaned
--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1147766215 num_examples: 205173 download_size: 368132773 dataset_size: 1147766215 configs: - config_name: default data_files: - split: train path: data/train-* --- # The Stack smol-XL A cleaned version of The Stack smol-XL
Will-uob/147_Spectrogram_labels
--- license: gpl-3.0 ---
space-sue/storydb
--- license: cc-by-4.0 ---
suolyer/pile_wikipedia
--- license: apache-2.0 ---
rdpahalavan/packet-tag-explanation
--- license: apache-2.0 tags: - Network Intrusion Detection - Cybersecurity - Network Packets size_categories: - 100K<n<1M language: - en --- This dataset contains the packet information and the tags and their corresponding explanation. For more information, [visit here](https://github.com/rdpahalavan/nids-transformers).
open-llm-leaderboard/details_Walmart-the-bag__Quintellect-10.7B
--- pretty_name: Evaluation run of Walmart-the-bag/Quintellect-10.7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Walmart-the-bag/Quintellect-10.7B](https://huggingface.co/Walmart-the-bag/Quintellect-10.7B)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Walmart-the-bag__Quintellect-10.7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-22T01:12:27.024632](https://huggingface.co/datasets/open-llm-leaderboard/details_Walmart-the-bag__Quintellect-10.7B/blob/main/results_2024-03-22T01-12-27.024632.json)(note\ \ that their might be results for other tasks in the repos if successive evals didn't\ \ cover the same tasks. You find each in the results and the \"latest\" split for\ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6350567544191552,\n\ \ \"acc_stderr\": 0.03248520404869693,\n \"acc_norm\": 0.6366662196102063,\n\ \ \"acc_norm_stderr\": 0.03314087543508369,\n \"mc1\": 0.4320685434516524,\n\ \ \"mc1_stderr\": 0.01734120239498826,\n \"mc2\": 0.5956588813281548,\n\ \ \"mc2_stderr\": 0.015586776670525026\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6203071672354948,\n \"acc_stderr\": 0.014182119866974872,\n\ \ \"acc_norm\": 0.6501706484641638,\n \"acc_norm_stderr\": 0.0139368092121583\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6539533957379008,\n\ \ \"acc_stderr\": 0.004747360500742478,\n \"acc_norm\": 0.8447520414260108,\n\ \ \"acc_norm_stderr\": 0.003614007841341994\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5925925925925926,\n\ \ \"acc_stderr\": 0.04244633238353228,\n \"acc_norm\": 0.5925925925925926,\n\ \ \"acc_norm_stderr\": 0.04244633238353228\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.7171052631578947,\n \"acc_stderr\": 0.03665349695640767,\n\ \ \"acc_norm\": 0.7171052631578947,\n \"acc_norm_stderr\": 0.03665349695640767\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.64,\n\ \ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.690566037735849,\n \"acc_stderr\": 0.028450154794118637,\n\ \ \"acc_norm\": 0.690566037735849,\n \"acc_norm_stderr\": 0.028450154794118637\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7222222222222222,\n\ \ \"acc_stderr\": 0.03745554791462456,\n \"acc_norm\": 0.7222222222222222,\n\ \ \"acc_norm_stderr\": 0.03745554791462456\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \ \ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620332\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n\ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\ \ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6763005780346821,\n\ \ \"acc_stderr\": 0.035676037996391706,\n \"acc_norm\": 0.6763005780346821,\n\ \ \"acc_norm_stderr\": 0.035676037996391706\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.04835503696107223,\n\ \ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.04835503696107223\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.74,\n\ \ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5702127659574469,\n \"acc_stderr\": 0.03236214467715564,\n\ \ \"acc_norm\": 0.5702127659574469,\n \"acc_norm_stderr\": 0.03236214467715564\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.47368421052631576,\n\ \ \"acc_stderr\": 0.04697085136647863,\n \"acc_norm\": 0.47368421052631576,\n\ \ \"acc_norm_stderr\": 0.04697085136647863\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5793103448275863,\n \"acc_stderr\": 0.0411391498118926,\n\ \ \"acc_norm\": 0.5793103448275863,\n \"acc_norm_stderr\": 0.0411391498118926\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3941798941798942,\n \"acc_stderr\": 0.025167982333894143,\n \"\ acc_norm\": 0.3941798941798942,\n \"acc_norm_stderr\": 0.025167982333894143\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3888888888888889,\n\ \ \"acc_stderr\": 0.04360314860077459,\n \"acc_norm\": 0.3888888888888889,\n\ \ \"acc_norm_stderr\": 0.04360314860077459\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7806451612903226,\n\ \ \"acc_stderr\": 0.023540799358723295,\n \"acc_norm\": 0.7806451612903226,\n\ \ \"acc_norm_stderr\": 0.023540799358723295\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.541871921182266,\n \"acc_stderr\": 0.03505630140785741,\n\ \ \"acc_norm\": 0.541871921182266,\n \"acc_norm_stderr\": 0.03505630140785741\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7878787878787878,\n \"acc_stderr\": 0.03192271569548301,\n\ \ \"acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.03192271569548301\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8131313131313131,\n \"acc_stderr\": 0.027772533334218967,\n \"\ acc_norm\": 0.8131313131313131,\n \"acc_norm_stderr\": 0.027772533334218967\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8497409326424871,\n \"acc_stderr\": 0.02578772318072388,\n\ \ \"acc_norm\": 0.8497409326424871,\n \"acc_norm_stderr\": 0.02578772318072388\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6461538461538462,\n \"acc_stderr\": 0.024243783994062157,\n\ \ \"acc_norm\": 0.6461538461538462,\n \"acc_norm_stderr\": 0.024243783994062157\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.028578348365473075,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.028578348365473075\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6428571428571429,\n \"acc_stderr\": 0.031124619309328177,\n\ \ \"acc_norm\": 0.6428571428571429,\n \"acc_norm_stderr\": 0.031124619309328177\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.31788079470198677,\n \"acc_stderr\": 0.038020397601079024,\n \"\ acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.038020397601079024\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8201834862385321,\n \"acc_stderr\": 0.01646534546739152,\n \"\ acc_norm\": 0.8201834862385321,\n \"acc_norm_stderr\": 0.01646534546739152\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.49537037037037035,\n \"acc_stderr\": 0.03409825519163572,\n \"\ acc_norm\": 0.49537037037037035,\n \"acc_norm_stderr\": 0.03409825519163572\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7990196078431373,\n \"acc_stderr\": 0.028125972265654373,\n \"\ acc_norm\": 0.7990196078431373,\n \"acc_norm_stderr\": 0.028125972265654373\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7932489451476793,\n \"acc_stderr\": 0.026361651668389094,\n \ \ \"acc_norm\": 0.7932489451476793,\n \"acc_norm_stderr\": 0.026361651668389094\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6591928251121076,\n\ \ \"acc_stderr\": 0.0318114974705536,\n \"acc_norm\": 0.6591928251121076,\n\ \ \"acc_norm_stderr\": 0.0318114974705536\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7633587786259542,\n \"acc_stderr\": 0.03727673575596913,\n\ \ \"acc_norm\": 0.7633587786259542,\n \"acc_norm_stderr\": 0.03727673575596913\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228733,\n \"\ acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228733\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.75,\n\ \ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.75,\n \ \ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7177914110429447,\n \"acc_stderr\": 0.03536117886664742,\n\ \ \"acc_norm\": 0.7177914110429447,\n \"acc_norm_stderr\": 0.03536117886664742\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04745789978762494,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04745789978762494\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\ \ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8717948717948718,\n\ \ \"acc_stderr\": 0.02190190511507332,\n \"acc_norm\": 0.8717948717948718,\n\ \ \"acc_norm_stderr\": 0.02190190511507332\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \ \ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.04688261722621504\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.80970625798212,\n\ \ \"acc_stderr\": 0.014036945850381392,\n \"acc_norm\": 0.80970625798212,\n\ \ \"acc_norm_stderr\": 0.014036945850381392\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6907514450867052,\n \"acc_stderr\": 0.02488314057007176,\n\ \ \"acc_norm\": 0.6907514450867052,\n \"acc_norm_stderr\": 0.02488314057007176\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4346368715083799,\n\ \ \"acc_stderr\": 0.016578997435496713,\n \"acc_norm\": 0.4346368715083799,\n\ \ \"acc_norm_stderr\": 0.016578997435496713\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.738562091503268,\n \"acc_stderr\": 0.025160998214292452,\n\ \ \"acc_norm\": 0.738562091503268,\n \"acc_norm_stderr\": 0.025160998214292452\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6977491961414791,\n\ \ \"acc_stderr\": 0.026082700695399662,\n \"acc_norm\": 0.6977491961414791,\n\ \ \"acc_norm_stderr\": 0.026082700695399662\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7191358024691358,\n \"acc_stderr\": 0.02500646975579921,\n\ \ \"acc_norm\": 0.7191358024691358,\n \"acc_norm_stderr\": 0.02500646975579921\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4517601043024772,\n\ \ \"acc_stderr\": 0.012710662233660247,\n \"acc_norm\": 0.4517601043024772,\n\ \ \"acc_norm_stderr\": 0.012710662233660247\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6580882352941176,\n \"acc_stderr\": 0.028814722422254187,\n\ \ \"acc_norm\": 0.6580882352941176,\n \"acc_norm_stderr\": 0.028814722422254187\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6503267973856209,\n \"acc_stderr\": 0.019291961895066375,\n \ \ \"acc_norm\": 0.6503267973856209,\n \"acc_norm_stderr\": 0.019291961895066375\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6363636363636364,\n\ \ \"acc_stderr\": 0.04607582090719976,\n \"acc_norm\": 0.6363636363636364,\n\ \ \"acc_norm_stderr\": 0.04607582090719976\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.726530612244898,\n \"acc_stderr\": 0.028535560337128445,\n\ \ \"acc_norm\": 0.726530612244898,\n \"acc_norm_stderr\": 0.028535560337128445\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8557213930348259,\n\ \ \"acc_stderr\": 0.02484575321230604,\n \"acc_norm\": 0.8557213930348259,\n\ \ \"acc_norm_stderr\": 0.02484575321230604\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774708,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774708\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.536144578313253,\n\ \ \"acc_stderr\": 0.038823108508905954,\n \"acc_norm\": 0.536144578313253,\n\ \ \"acc_norm_stderr\": 0.038823108508905954\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.02796678585916089,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.02796678585916089\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4320685434516524,\n\ \ \"mc1_stderr\": 0.01734120239498826,\n \"mc2\": 0.5956588813281548,\n\ \ \"mc2_stderr\": 0.015586776670525026\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7900552486187845,\n \"acc_stderr\": 0.01144628062926263\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6057619408642911,\n \ \ \"acc_stderr\": 0.013460852357095661\n }\n}\n```" repo_url: https://huggingface.co/Walmart-the-bag/Quintellect-10.7B leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|arc:challenge|25_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-22T01-12-27.024632.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|gsm8k|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hellaswag|10_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-22T01-12-27.024632.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-management|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-22T01-12-27.024632.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|truthfulqa:mc|0_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-22T01-12-27.024632.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_22T01_12_27.024632 path: - '**/details_harness|winogrande|5_2024-03-22T01-12-27.024632.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-22T01-12-27.024632.parquet' - config_name: results data_files: - split: 2024_03_22T01_12_27.024632 path: - results_2024-03-22T01-12-27.024632.parquet - split: latest path: - results_2024-03-22T01-12-27.024632.parquet --- # Dataset Card for Evaluation run of Walmart-the-bag/Quintellect-10.7B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Walmart-the-bag/Quintellect-10.7B](https://huggingface.co/Walmart-the-bag/Quintellect-10.7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Walmart-the-bag__Quintellect-10.7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-22T01:12:27.024632](https://huggingface.co/datasets/open-llm-leaderboard/details_Walmart-the-bag__Quintellect-10.7B/blob/main/results_2024-03-22T01-12-27.024632.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "acc": 0.6350567544191552, "acc_stderr": 0.03248520404869693, "acc_norm": 0.6366662196102063, "acc_norm_stderr": 0.03314087543508369, "mc1": 0.4320685434516524, "mc1_stderr": 0.01734120239498826, "mc2": 0.5956588813281548, "mc2_stderr": 0.015586776670525026 }, "harness|arc:challenge|25": { "acc": 0.6203071672354948, "acc_stderr": 0.014182119866974872, "acc_norm": 0.6501706484641638, "acc_norm_stderr": 0.0139368092121583 }, "harness|hellaswag|10": { "acc": 0.6539533957379008, "acc_stderr": 0.004747360500742478, "acc_norm": 0.8447520414260108, "acc_norm_stderr": 0.003614007841341994 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5925925925925926, "acc_stderr": 0.04244633238353228, "acc_norm": 0.5925925925925926, "acc_norm_stderr": 0.04244633238353228 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7171052631578947, "acc_stderr": 0.03665349695640767, "acc_norm": 0.7171052631578947, "acc_norm_stderr": 0.03665349695640767 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.690566037735849, "acc_stderr": 0.028450154794118637, "acc_norm": 0.690566037735849, "acc_norm_stderr": 0.028450154794118637 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7222222222222222, "acc_stderr": 0.03745554791462456, "acc_norm": 0.7222222222222222, "acc_norm_stderr": 0.03745554791462456 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, 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0.04688261722621504 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.80970625798212, "acc_stderr": 0.014036945850381392, "acc_norm": 0.80970625798212, "acc_norm_stderr": 0.014036945850381392 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6907514450867052, "acc_stderr": 0.02488314057007176, "acc_norm": 0.6907514450867052, "acc_norm_stderr": 0.02488314057007176 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4346368715083799, "acc_stderr": 0.016578997435496713, "acc_norm": 0.4346368715083799, "acc_norm_stderr": 0.016578997435496713 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.738562091503268, "acc_stderr": 0.025160998214292452, "acc_norm": 0.738562091503268, "acc_norm_stderr": 0.025160998214292452 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6977491961414791, "acc_stderr": 0.026082700695399662, "acc_norm": 0.6977491961414791, "acc_norm_stderr": 0.026082700695399662 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7191358024691358, "acc_stderr": 0.02500646975579921, "acc_norm": 0.7191358024691358, "acc_norm_stderr": 0.02500646975579921 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4929078014184397, "acc_stderr": 0.02982449855912901, "acc_norm": 0.4929078014184397, "acc_norm_stderr": 0.02982449855912901 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4517601043024772, "acc_stderr": 0.012710662233660247, "acc_norm": 0.4517601043024772, "acc_norm_stderr": 0.012710662233660247 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6580882352941176, "acc_stderr": 0.028814722422254187, "acc_norm": 0.6580882352941176, "acc_norm_stderr": 0.028814722422254187 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6503267973856209, "acc_stderr": 0.019291961895066375, "acc_norm": 0.6503267973856209, "acc_norm_stderr": 0.019291961895066375 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6363636363636364, "acc_stderr": 0.04607582090719976, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.04607582090719976 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.726530612244898, "acc_stderr": 0.028535560337128445, "acc_norm": 0.726530612244898, "acc_norm_stderr": 0.028535560337128445 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8557213930348259, "acc_stderr": 0.02484575321230604, "acc_norm": 0.8557213930348259, "acc_norm_stderr": 0.02484575321230604 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.84, "acc_stderr": 0.03684529491774708, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774708 }, "harness|hendrycksTest-virology|5": { "acc": 0.536144578313253, "acc_stderr": 0.038823108508905954, "acc_norm": 0.536144578313253, "acc_norm_stderr": 0.038823108508905954 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8421052631578947, "acc_stderr": 0.02796678585916089, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.02796678585916089 }, "harness|truthfulqa:mc|0": { "mc1": 0.4320685434516524, "mc1_stderr": 0.01734120239498826, "mc2": 0.5956588813281548, "mc2_stderr": 0.015586776670525026 }, "harness|winogrande|5": { "acc": 0.7900552486187845, "acc_stderr": 0.01144628062926263 }, "harness|gsm8k|5": { "acc": 0.6057619408642911, "acc_stderr": 0.013460852357095661 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or 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It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). 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More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
fabiochiu/doge
--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 451322.0 num_examples: 5 download_size: 451958 dataset_size: 451322.0 --- # Dataset Card for "doge" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
clu-ling/clupubhealth
--- license: apache-2.0 task_categories: - summarization language: - en tags: - medical size_categories: - 1K<n<10K - 10K<n<100K --- # `clupubhealth` The `CLUPubhealth` dataset is based on the [PUBHEALTH fact-checking dataset](https://github.com/neemakot/Health-Fact-Checking). The PUBHEALTH dataset contains claims, explanations, and main texts. The explanations function as vetted summaries of the main texts. The CLUPubhealth dataset repurposes these fields into summaries and texts for use in training Summarization models such as Facebook's BART. There are currently 4 dataset configs which can be called, each has three splits (see Usage): ### `clupubhealth/mini` This config includes only 200 samples per split. This is mostly used in testing scripts when small sets are desirable. ### `clupubhealth/base` This is the base dataset which includes the full PUBHEALTH set, sans False samples. The `test` split is a shortened version which includes only 200 samples. This allows for faster eval steps during trianing. ### `clupubhealth/expanded` Where the base `train` split contains 5,078 data points, this expanded set includes 62,163 data points. ChatGPT was used to generate new versions of the summaries in the base set. After GPT expansion a total of 72,498 were generated, however, this was shortened to ~62k after samples with poor BERTScores were eliminated. ### `clupubhealth/test` This config has the full `test` split with ~1200 samples. Used for post-training evaluation. ## USAGE To use the CLUPubhealth dataset use the `datasets` library: ```python from datasets import load_dataset data = load_dataset("clu-ling/clupubhealth", "base") # Where the accepted extensions are the configs: `mini`, `base`, `expanded`, `test` ```
arbml/Arabic_Hate_Speech
--- dataset_info: features: - name: id dtype: string - name: tweet dtype: string - name: is_off dtype: string - name: is_hate dtype: string - name: is_vlg dtype: string - name: is_vio dtype: string splits: - name: train num_bytes: 1656540 num_examples: 8557 - name: validation num_bytes: 234165 num_examples: 1266 download_size: 881261 dataset_size: 1890705 --- # Dataset Card for "Arabic_Hate_Speech" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
jerpint/rock-paper-scissors
--- license: cc-by-2.0 --- Clone of the dataset from https://laurencemoroney.com/datasets.html
navanchauhan/decimer-data-mini
--- license: openrail pretty_name: PubChem 68K size_categories: - 10K<n<100K task_categories: - image-to-text dataset_info: features: - name: image dtype: image - name: smiles dtype: string - name: selfies dtype: string splits: - name: train num_bytes: 1185846198.576 num_examples: 68996 - name: test num_bytes: 267097779.576 num_examples: 15499 - name: validation num_bytes: 266912227.912 num_examples: 15499 download_size: 1692942822 dataset_size: 1719856206.064 --- Molecules in this set * have a molecular weight of fewer than 1500 Daltons, * not possess counter ions, * only contain the elements C, H, O, N, P, S, F, Cl, Br, I, Se and B, * not contain isotopes of Hydrogens (D, T), * have 3–40 bonds, * not contain any charged groups including zwitterionic forms, * only contain implicit hydrogens, except in functional groups, * have less than 40 SMILES characters, * no stereochemistry is allowed. The original dataset from Decimer was imported and randomly sampled. 516x516 sized images were generated using RDKit. ## Reference > Rajan, Kohulan; Zielesny, Achim; Steinbeck, Christoph (2021): DECIMER 1.0: Deep Learning for Chemical Image Recognition using Transformers. ChemRxiv. Preprint. https://doi.org/10.26434/chemrxiv.14479287.v1
prasoonskrishnan/movie_recomendation
--- license: afl-3.0 ---
CorpuSlave/MRC
--- license: cc-by-nc-sa-4.0 configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: doc_id dtype: string splits: - name: train num_bytes: 804002756 num_examples: 486812 download_size: 424720173 dataset_size: 804002756 ---
shivam9980/Inshorts-english
--- license: apache-2.0 ---
Locutusque/function-calling-chatml
--- dataset_info: features: - name: system_message dtype: string - name: function_description dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 311913135 num_examples: 112960 download_size: 107035875 dataset_size: 311913135 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "function-calling-chatml" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-moral_scenarios-neg-prepend
--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: negate_openai_prompt struct: - name: content dtype: string - name: role dtype: string - name: neg_question dtype: string - name: fewshot_context dtype: string - name: ori_prompt dtype: string - name: neg_prompt dtype: string - name: fewshot_context_neg dtype: string - name: fewshot_context_ori dtype: string splits: - name: dev num_bytes: 11487 num_examples: 5 - name: test num_bytes: 11181249 num_examples: 895 download_size: 574740 dataset_size: 11192736 configs: - config_name: default data_files: - split: dev path: data/dev-* - split: test path: data/test-* --- # Dataset Card for "mmlu-moral_scenarios-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
nguyenvulebinh/asr-alignment
--- license: apache-2.0 dataset_info: - config_name: commonvoice features: - name: id dtype: string - name: text dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: words sequence: string - name: word_start sequence: float64 - name: word_end sequence: float64 - name: entity_start sequence: int64 - name: entity_end sequence: int64 - name: entity_label sequence: string splits: - name: train num_bytes: 43744079378.659 num_examples: 948733 - name: valid num_bytes: 722372503.994 num_examples: 16353 download_size: 39798988113 dataset_size: 44466451882.653 - config_name: gigaspeech features: - name: id dtype: string - name: text dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: words sequence: string - name: word_start sequence: float64 - name: word_end sequence: float64 - name: entity_start sequence: int64 - name: entity_end sequence: int64 - name: entity_label sequence: string splits: - name: train num_bytes: 1032024261294.48 num_examples: 8282987 - name: valid num_bytes: 1340974408.04 num_examples: 5715 download_size: 1148966064515 dataset_size: 1033365235702.52 - config_name: libris features: - name: id dtype: string - name: text dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: words sequence: string - name: word_start sequence: float64 - name: word_end sequence: float64 - name: entity_start sequence: int64 - name: entity_end sequence: int64 - name: entity_label sequence: string splits: - name: train num_bytes: 63849575890.896 num_examples: 281241 - name: valid num_bytes: 793442600.643 num_examples: 5559 download_size: 61361142328 dataset_size: 64643018491.539 - config_name: mustc features: - name: id dtype: string - name: text dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: words sequence: string - name: word_start sequence: float64 - name: word_end sequence: float64 - name: entity_start sequence: int64 - name: entity_end sequence: int64 - name: entity_label sequence: string splits: - name: train num_bytes: 55552777413.1 num_examples: 248612 - name: valid num_bytes: 313397447.704 num_examples: 1408 download_size: 52028374666 dataset_size: 55866174860.804 - config_name: tedlium features: - name: id dtype: string - name: text dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: words sequence: string - name: word_start sequence: float64 - name: word_end sequence: float64 - name: entity_start sequence: int64 - name: entity_end sequence: int64 - name: entity_label sequence: string splits: - name: train num_bytes: 56248950771.568 num_examples: 268216 - name: valid num_bytes: 321930549.928 num_examples: 1456 download_size: 52557126451 dataset_size: 56570881321.496 - config_name: voxpopuli features: - name: id dtype: string - name: text dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: words sequence: string - name: word_start sequence: float64 - name: word_end sequence: float64 - name: entity_start sequence: int64 - name: entity_end sequence: int64 - name: entity_label sequence: string splits: - name: train num_bytes: 118516424284.524 num_examples: 182463 - name: valid num_bytes: 1144543020.808 num_examples: 1842 download_size: 98669668241 dataset_size: 119660967305.332 configs: - config_name: commonvoice data_files: - split: train path: commonvoice/train-* - split: valid path: commonvoice/valid-* - config_name: gigaspeech data_files: - split: train path: gigaspeech/train-* - split: valid path: gigaspeech/valid-* - config_name: libris data_files: - split: train path: libris/train-* - split: valid path: libris/valid-* - config_name: mustc data_files: - split: train path: mustc/train-* - split: valid path: mustc/valid-* - config_name: tedlium data_files: - split: train path: tedlium/train-* - split: valid path: tedlium/valid-* - config_name: voxpopuli data_files: - split: train path: voxpopuli/train-* - split: valid path: voxpopuli/valid-* language: - en pretty_name: Speech Recognition Alignment Dataset size_categories: - 10M<n<100M --- # Speech Recognition Alignment Dataset This dataset is a variation of several widely-used ASR datasets, encompassing Librispeech, MuST-C, TED-LIUM, VoxPopuli, Common Voice, and GigaSpeech. The difference is this dataset includes: - Precise alignment between audio and text. - Text that has been punctuated and made case-sensitive. - Identification of named entities in the text. # Usage First, install the latest version of the 🤗 Datasets package: ```bash pip install --upgrade pip pip install --upgrade datasets[audio] ``` The dataset can be downloaded and pre-processed on disk using the [`load_dataset`](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/loading_methods#datasets.load_dataset) function: ```python from datasets import load_dataset # Available dataset: 'libris','mustc','tedlium','voxpopuli','commonvoice','gigaspeech' dataset = load_dataset("nguyenvulebinh/asr-alignment", "libris") # take the first sample of the validation set sample = dataset["train"][0] ``` It can also be streamed directly from the Hub using Datasets' [streaming mode](https://huggingface.co/blog/audio-datasets#streaming-mode-the-silver-bullet). Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire dataset to disk: ```python from datasets import load_dataset dataset = load_dataset("nguyenvulebinh/asr-alignment", "libris", streaming=True) # take the first sample of the validation set sample = next(iter(dataset["train"])) ``` ## Citation If you use this data, please consider citing the [ICASSP 2024 Paper: SYNTHETIC CONVERSATIONS IMPROVE MULTI-TALKER ASR](): ``` @INPROCEEDINGS{synthetic-multi-asr-nguyen, author={Nguyen, Thai-Binh and Waibel, Alexander}, booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title={SYNTHETIC CONVERSATIONS IMPROVE MULTI-TALKER ASR}, year={2024}, volume={}, number={}, } ``` ## License This dataset is licensed in accordance with the terms of the original dataset.
djvictordance/vocal
--- license: openrail ---
freshpearYoon/vr_val_free_6
--- dataset_info: features: - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: filename dtype: string - name: NumOfUtterance dtype: int64 - name: text dtype: string - name: samplingrate dtype: int64 - name: begin_time dtype: float64 - name: end_time dtype: float64 - name: speaker_id dtype: string - name: directory dtype: string splits: - name: train num_bytes: 7003355378 num_examples: 9105 download_size: 1171175037 dataset_size: 7003355378 configs: - config_name: default data_files: - split: train path: data/train-* ---
nekofura/zero_one
--- license: apache-2.0 task_categories: - text-generation tags: - kamen_rider - zero-one ---
ibivibiv/alpaca_lamini17
--- dataset_info: features: - name: output dtype: string - name: instruction dtype: string - name: input dtype: string splits: - name: train num_bytes: 56355233 num_examples: 129280 download_size: 36396771 dataset_size: 56355233 configs: - config_name: default data_files: - split: train path: data/train-* ---