davanstrien/summary-test · Datasets at Hugging Face

datasetId stringlengths 2 117	card stringlengths 19 1.01M
kaczmarj/wsinfer-model-zoo-json	--- license: cc-by-4.0 pretty_name: WSInfer Model Zoo Registry --- This is the registry of models in the WSInfer Model Zoo. See https://wsinfer.readthedocs.io/en/latest/ and https://github.com/SBU-BMI/wsinfer-zoo for more information.
Ujito/Mukozo	--- license: bigscience-openrail-m ---
alisson40889/ball	--- license: openrail ---
p1atdev/zozotown	--- license: cc0-1.0 ---
rai-sandeep/dataset_format	--- dataset_info: features: - name: task dtype: string - name: format dtype: string splits: - name: train num_bytes: 352 num_examples: 2 download_size: 2327 dataset_size: 352 --- # Dataset Card for "dataset_format" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mHossain/final_train_v4_test_80000	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* 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: 5763784.5 num_examples: 18000 - name: test num_bytes: 640420.5 num_examples: 2000 download_size: 2785737 dataset_size: 6404205.0 --- # Dataset Card for "final_train_v4_test_80000" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ovior/twitter_dataset_1713124765	--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 2575033 num_examples: 8102 download_size: 1442038 dataset_size: 2575033 configs: - config_name: default data_files: - split: train path: data/train-* ---
Utkarsh55/guanaco-llama2-1k	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1654448 num_examples: 1000 download_size: 966694 dataset_size: 1654448 configs: - config_name: default data_files: - split: train path: data/train-* ---
Oztobuzz/Processed_Vi_ShareGPT4V	--- configs: - config_name: default data_files: - split: train path: data//train- - config_name: start_from_000116069 data_files: - split: train path: data/start_from_000116069/train-* - config_name: start_from_000118857 data_files: - split: train path: data/start_from_000118857/train-* - config_name: start_from_000119137 data_files: - split: train path: data/start_from_000119137/train-* - config_name: start_from_000119739 data_files: - split: train path: data/start_from_000119739/train-* - config_name: start_from_000121745 data_files: - split: train path: data/start_from_000121745/train-* - config_name: start_from_000122687 data_files: - split: train path: data/start_from_000122687/train-* - config_name: start_from_000122959 data_files: - split: train path: data/start_from_000122959/train-* - config_name: start_from_000123104 data_files: - split: train path: data/start_from_000123104/train-* - config_name: start_from_000123658 data_files: - split: train path: data/start_from_000123658/train-* - config_name: start_from_000125179 data_files: - split: train path: data/start_from_000125179/train-* - config_name: start_from_000125996 data_files: - split: train path: data/start_from_000125996/train-* - config_name: start_from_000127429 data_files: - split: train path: data/start_from_000127429/train-* - config_name: start_from_000129186 data_files: - split: train path: data/start_from_000129186/train-* - config_name: start_from_000146766 data_files: - split: train path: data/start_from_000146766/train-* - config_name: start_from_000147346 data_files: - split: train path: data/start_from_000147346/train-* - config_name: start_from_000147919 data_files: - split: train path: data/start_from_000147919/train-* - config_name: start_from_000148568 data_files: - split: train path: data/start_from_000148568/train-* - config_name: start_from_000148869 data_files: - split: train path: data/start_from_000148869/train-* - config_name: start_from_000149819 data_files: - split: train path: data/start_from_000149819/train-* - config_name: start_from_000157150 data_files: - split: train path: data/start_from_000157150/train-* - config_name: start_from_000157834 data_files: - split: train path: data/start_from_000157834/train-* - config_name: start_from_000159178 data_files: - split: train path: data/start_from_000159178/train-* - config_name: start_from_000165035 data_files: - split: train path: data/start_from_000165035/train-* - config_name: start_from_000165093 data_files: - split: train path: data/start_from_000165093/train-* - config_name: start_from_000165799 data_files: - split: train path: data/start_from_000165799/train-* - config_name: start_from_000166028 data_files: - split: train path: data/start_from_000166028/train-* - config_name: start_from_000166620 data_files: - split: train path: data/start_from_000166620/train-* - config_name: start_from_000167861 data_files: - split: train path: data/start_from_000167861/train-* - config_name: start_from_000170275 data_files: - split: train path: data/start_from_000170275/train-* - config_name: start_from_000170846 data_files: - split: train path: data/start_from_000170846/train-* - config_name: start_from_000171526 data_files: - split: train path: data/start_from_000171526/train-* - config_name: start_from_000171927 data_files: - split: train path: data/start_from_000171927/train-* - config_name: start_from_000172463 data_files: - split: train path: data/start_from_000172463/train-* - config_name: start_from_000172839 data_files: - split: train path: data/start_from_000172839/train-* - config_name: start_from_000173282 data_files: - split: train path: data/start_from_000173282/train-* - config_name: start_from_000174034 data_files: - split: train path: data/start_from_000174034/train-* - config_name: start_from_000174960 data_files: - split: train path: data/start_from_000174960/train-* - config_name: start_from_000175388 data_files: - split: train path: data/start_from_000175388/train-* - config_name: start_from_000175987 data_files: - split: train path: data/start_from_000175987/train-* - config_name: start_from_000176475 data_files: - split: train path: data/start_from_000176475/train-* - config_name: start_from_000176986 data_files: - split: train path: data/start_from_000176986/train-* - config_name: start_from_000177287 data_files: - split: train path: data/start_from_000177287/train-* - config_name: start_from_000178012 data_files: - split: train path: data/start_from_000178012/train-* - config_name: start_from_000183715 data_files: - split: train path: data/start_from_000183715/train-* - config_name: start_from_000184954 data_files: - split: train path: data/start_from_000184954/train-* - config_name: start_from_000185912 data_files: - split: train path: data/start_from_000185912/train-* - config_name: start_from_000187200 data_files: - split: train path: data/start_from_000187200/train-* - config_name: start_from_000189391 data_files: - split: train path: data/start_from_000189391/train-* - config_name: start_from_000190047 data_files: - split: train path: data/start_from_000190047/train-* - config_name: start_from_000250724 data_files: - split: train path: data/start_from_000250724/train-* - config_name: start_from_000250766 data_files: - split: train path: data/start_from_000250766/train-* - config_name: start_from_03535a6be5d036d6 data_files: - split: train path: data/start_from_03535a6be5d036d6/train-* - config_name: start_from_2b3e5e8b672a73e7 data_files: - split: train path: data/start_from_2b3e5e8b672a73e7/train-* - config_name: start_from_5ff2daab3483a646 data_files: - split: train path: data/start_from_5ff2daab3483a646/train-* - config_name: start_from_9ce1fa0dff30e7d9 data_files: - split: train path: data/start_from_9ce1fa0dff30e7d9/train-* - config_name: start_from_Anthony_Hopkins data_files: - split: train path: data/start_from_Anthony_Hopkins/train-* - config_name: start_from_Elliot_Page data_files: - split: train path: data/start_from_Elliot_Page/train-* - config_name: start_from_aubrey-beardsley_no-5 data_files: - split: train path: data/start_from_aubrey-beardsley_no-5/train-* - config_name: start_from_genevieve-asse_ligne-rouge-ii-n-19-1984 data_files: - split: train path: data/start_from_genevieve-asse_ligne-rouge-ii-n-19-1984/train-* - config_name: start_from_john-henry-twachtman_the-portico data_files: - split: train path: data/start_from_john-henry-twachtman_the-portico/train-* - config_name: start_from_nicholas-roerich_spies-1900 data_files: - split: train path: data/start_from_nicholas-roerich_spies-1900/train-* - config_name: start_from_sa_2579 data_files: - split: train path: data/start_from_sa_2579/train-* - config_name: start_from_sa_2588 data_files: - split: train path: data/start_from_sa_2588/train-* - config_name: start_from_sa_2597 data_files: - split: train path: data/start_from_sa_2597/train-* - config_name: start_from_sa_26059 data_files: - split: train path: data/start_from_sa_26059/train-* - config_name: start_from_sa_2615 data_files: - split: train path: data/start_from_sa_2615/train-* - config_name: start_from_sa_2624 data_files: - split: train path: data/start_from_sa_2624/train-* - config_name: start_from_sa_2633 data_files: - split: train path: data/start_from_sa_2633/train-* - config_name: start_from_sa_2642 data_files: - split: train path: data/start_from_sa_2642/train-* - config_name: start_from_sa_2651 data_files: - split: train path: data/start_from_sa_2651/train-* - config_name: start_from_sa_2660 data_files: - split: train path: data/start_from_sa_2660/train-* - config_name: start_from_sa_26690 data_files: - split: train path: data/start_from_sa_26690/train-* - config_name: start_from_sa_27880 data_files: - split: train path: data/start_from_sa_27880/train-* dataset_info: - config_name: start_from_000116069 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 243750 num_examples: 100 download_size: 104130 dataset_size: 243750 - config_name: start_from_000118857 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 264039 num_examples: 100 download_size: 116699 dataset_size: 264039 - config_name: start_from_000119137 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 245729 num_examples: 100 download_size: 107775 dataset_size: 245729 - config_name: start_from_000119739 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 266007 num_examples: 100 download_size: 111382 dataset_size: 266007 - config_name: start_from_000121745 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 276381 num_examples: 100 download_size: 110925 dataset_size: 276381 - config_name: start_from_000122687 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 240984 num_examples: 100 download_size: 103289 dataset_size: 240984 - config_name: start_from_000122959 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 235845 num_examples: 100 download_size: 101022 dataset_size: 235845 - config_name: start_from_000123104 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 240498 num_examples: 100 download_size: 105487 dataset_size: 240498 - config_name: start_from_000123658 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 282765 num_examples: 100 download_size: 116701 dataset_size: 282765 - config_name: start_from_000125179 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 267968 num_examples: 100 download_size: 108663 dataset_size: 267968 - config_name: start_from_000125996 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 239475 num_examples: 100 download_size: 106381 dataset_size: 239475 - config_name: start_from_000127429 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 262902 num_examples: 100 download_size: 106254 dataset_size: 262902 - config_name: start_from_000129186 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 255955 num_examples: 100 download_size: 109381 dataset_size: 255955 - config_name: start_from_000146766 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 252468 num_examples: 100 download_size: 121248 dataset_size: 252468 - config_name: start_from_000147346 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 249161 num_examples: 100 download_size: 119582 dataset_size: 249161 - config_name: start_from_000147919 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 263790 num_examples: 100 download_size: 124679 dataset_size: 263790 - config_name: start_from_000148568 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 232832 num_examples: 100 download_size: 104669 dataset_size: 232832 - config_name: start_from_000148869 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 239642 num_examples: 100 download_size: 112592 dataset_size: 239642 - config_name: start_from_000149819 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 252170 num_examples: 100 download_size: 121519 dataset_size: 252170 - config_name: start_from_000157150 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 263540 num_examples: 100 download_size: 123396 dataset_size: 263540 - config_name: start_from_000157834 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 236072 num_examples: 100 download_size: 112569 dataset_size: 236072 - config_name: start_from_000159178 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 234745 num_examples: 100 download_size: 106931 dataset_size: 234745 - config_name: start_from_000165035 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 45010 num_examples: 10 download_size: 21035 dataset_size: 45010 - config_name: start_from_000165093 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 429536 num_examples: 170 download_size: 184772 dataset_size: 429536 - config_name: start_from_000165799 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 198854 num_examples: 80 download_size: 91717 dataset_size: 198854 - config_name: start_from_000166028 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 232523 num_examples: 100 download_size: 108358 dataset_size: 232523 - config_name: start_from_000166620 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 288952 num_examples: 120 download_size: 137851 dataset_size: 288952 - config_name: start_from_000167861 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 255546 num_examples: 100 download_size: 121945 dataset_size: 255546 - config_name: start_from_000170275 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 221779 num_examples: 90 download_size: 108722 dataset_size: 221779 - config_name: start_from_000170846 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 242958 num_examples: 100 download_size: 116596 dataset_size: 242958 - config_name: start_from_000171526 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 240000 num_examples: 90 download_size: 113290 dataset_size: 240000 - config_name: start_from_000171927 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 243902 num_examples: 100 download_size: 113859 dataset_size: 243902 - config_name: start_from_000172463 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 246350 num_examples: 100 download_size: 111720 dataset_size: 246350 - config_name: start_from_000172839 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 279410 num_examples: 100 download_size: 123160 dataset_size: 279410 - config_name: start_from_000173282 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 242536 num_examples: 100 download_size: 117444 dataset_size: 242536 - config_name: start_from_000174034 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 257173 num_examples: 100 download_size: 128240 dataset_size: 257173 - config_name: start_from_000174960 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 243259 num_examples: 100 download_size: 113355 dataset_size: 243259 - config_name: start_from_000175388 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 259422 num_examples: 100 download_size: 122097 dataset_size: 259422 - config_name: start_from_000175987 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 260078 num_examples: 100 download_size: 122560 dataset_size: 260078 - config_name: start_from_000176475 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 231039 num_examples: 100 download_size: 110576 dataset_size: 231039 - config_name: start_from_000176986 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 256685 num_examples: 100 download_size: 111944 dataset_size: 256685 - config_name: start_from_000177287 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 232815 num_examples: 90 download_size: 110404 dataset_size: 232815 - config_name: start_from_000178012 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 240582 num_examples: 100 download_size: 114430 dataset_size: 240582 - config_name: start_from_000183715 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 176781 num_examples: 70 download_size: 87151 dataset_size: 176781 - config_name: start_from_000184954 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 282268 num_examples: 100 download_size: 128525 dataset_size: 282268 - config_name: start_from_000185912 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 246783 num_examples: 100 download_size: 115577 dataset_size: 246783 - config_name: start_from_000187200 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 238008 num_examples: 100 download_size: 111506 dataset_size: 238008 - config_name: start_from_000189391 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 273394 num_examples: 100 download_size: 119663 dataset_size: 273394 - config_name: start_from_000190047 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 235959 num_examples: 100 download_size: 110859 dataset_size: 235959 - config_name: start_from_000250724 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 28019 num_examples: 10 download_size: 19541 dataset_size: 28019 - config_name: start_from_000250766 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 266178 num_examples: 100 download_size: 125285 dataset_size: 266178 - config_name: start_from_03535a6be5d036d6 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 182476 num_examples: 100 download_size: 96673 dataset_size: 182476 - config_name: start_from_2b3e5e8b672a73e7 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 175073 num_examples: 100 download_size: 92430 dataset_size: 175073 - config_name: start_from_5ff2daab3483a646 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 180098 num_examples: 100 download_size: 97530 dataset_size: 180098 - config_name: start_from_9ce1fa0dff30e7d9 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 307568 num_examples: 190 download_size: 157394 dataset_size: 307568 - config_name: start_from_Anthony_Hopkins features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 159992 num_examples: 100 download_size: 75083 dataset_size: 159992 - config_name: start_from_Elliot_Page features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 159272 num_examples: 100 download_size: 77060 dataset_size: 159272 - config_name: start_from_aubrey-beardsley_no-5 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 182276 num_examples: 80 download_size: 89561 dataset_size: 182276 - config_name: start_from_genevieve-asse_ligne-rouge-ii-n-19-1984 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 185464 num_examples: 80 download_size: 92888 dataset_size: 185464 - config_name: start_from_john-henry-twachtman_the-portico features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 220199 num_examples: 100 download_size: 107660 dataset_size: 220199 - config_name: start_from_nicholas-roerich_spies-1900 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 249645 num_examples: 120 download_size: 118765 dataset_size: 249645 - config_name: start_from_sa_2579 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 281870 num_examples: 100 download_size: 133946 dataset_size: 281870 - config_name: start_from_sa_2588 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 279637 num_examples: 100 download_size: 128572 dataset_size: 279637 - config_name: start_from_sa_2597 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 250879 num_examples: 100 download_size: 123618 dataset_size: 250879 - config_name: start_from_sa_26059 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 258299 num_examples: 100 download_size: 128958 dataset_size: 258299 - config_name: start_from_sa_2615 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 257741 num_examples: 100 download_size: 127220 dataset_size: 257741 - config_name: start_from_sa_2624 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 256906 num_examples: 100 download_size: 128616 dataset_size: 256906 - config_name: start_from_sa_2633 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 251630 num_examples: 100 download_size: 125363 dataset_size: 251630 - config_name: start_from_sa_2642 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 258196 num_examples: 100 download_size: 128446 dataset_size: 258196 - config_name: start_from_sa_2651 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 265535 num_examples: 100 download_size: 129999 dataset_size: 265535 - config_name: start_from_sa_2660 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 261595 num_examples: 100 download_size: 129352 dataset_size: 261595 - config_name: start_from_sa_26690 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 253819 num_examples: 100 download_size: 124359 dataset_size: 253819 - config_name: start_from_sa_27880 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 233949 num_examples: 100 download_size: 106162 dataset_size: 233949 ---
open-llm-leaderboard/details_TeeZee__DarkSapling-7B-v1.0	--- pretty_name: Evaluation run of TeeZee/DarkSapling-7B-v1.0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TeeZee/DarkSapling-7B-v1.0](https://huggingface.co/TeeZee/DarkSapling-7B-v1.0)\ \ 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_TeeZee__DarkSapling-7B-v1.0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-10T01:29:46.397110](https://huggingface.co/datasets/open-llm-leaderboard/details_TeeZee__DarkSapling-7B-v1.0/blob/main/results_2024-02-10T01-29-46.397110.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\": 0.6228272261948034,\n\ \ \"acc_stderr\": 0.032723127441021765,\n \"acc_norm\": 0.6278792920359817,\n\ \ \"acc_norm_stderr\": 0.03338301615189635,\n \"mc1\": 0.2998776009791922,\n\ \ \"mc1_stderr\": 0.016040352966713627,\n \"mc2\": 0.45088578827366993,\n\ \ \"mc2_stderr\": 0.01466973973064534\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5861774744027304,\n \"acc_stderr\": 0.014392730009221007,\n\ \ \"acc_norm\": 0.6160409556313993,\n \"acc_norm_stderr\": 0.01421244498065189\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6296554471220872,\n\ \ \"acc_stderr\": 0.004819100456867812,\n \"acc_norm\": 0.8259310894244174,\n\ \ \"acc_norm_stderr\": 0.0037839381501516165\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384741,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.04461960433384741\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\": 0.6513157894736842,\n \"acc_stderr\": 0.038781398887976104,\n\ \ \"acc_norm\": 0.6513157894736842,\n \"acc_norm_stderr\": 0.038781398887976104\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"acc_norm_stderr\"\ : 0.05\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\": {\n \"\ acc\": 0.6566037735849056,\n \"acc_stderr\": 0.02922452646912479,\n \ \ \"acc_norm\": 0.6566037735849056,\n \"acc_norm_stderr\": 0.02922452646912479\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7083333333333334,\n\ \ \"acc_stderr\": 0.038009680605548594,\n \"acc_norm\": 0.7083333333333334,\n\ \ \"acc_norm_stderr\": 0.038009680605548594\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.54,\n\ \ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6127167630057804,\n\ \ \"acc_stderr\": 0.03714325906302065,\n \"acc_norm\": 0.6127167630057804,\n\ \ \"acc_norm_stderr\": 0.03714325906302065\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\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5361702127659574,\n \"acc_stderr\": 0.03260038511835771,\n\ \ \"acc_norm\": 0.5361702127659574,\n \"acc_norm_stderr\": 0.03260038511835771\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.5263157894736842,\n\ \ \"acc_stderr\": 0.04697085136647861,\n \"acc_norm\": 0.5263157894736842,\n\ \ \"acc_norm_stderr\": 0.04697085136647861\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878151,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878151\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.42857142857142855,\n \"acc_stderr\": 0.02548718714785938,\n \"\ acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.02548718714785938\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\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7580645161290323,\n\ \ \"acc_stderr\": 0.024362599693031096,\n \"acc_norm\": 0.7580645161290323,\n\ \ \"acc_norm_stderr\": 0.024362599693031096\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n\ \ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\"\ : 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267052,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267052\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8393782383419689,\n \"acc_stderr\": 0.026499057701397443,\n\ \ \"acc_norm\": 0.8393782383419689,\n \"acc_norm_stderr\": 0.026499057701397443\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6307692307692307,\n \"acc_stderr\": 0.02446861524147893,\n \ \ \"acc_norm\": 0.6307692307692307,\n \"acc_norm_stderr\": 0.02446861524147893\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3037037037037037,\n \"acc_stderr\": 0.028037929969114986,\n \ \ \"acc_norm\": 0.3037037037037037,\n \"acc_norm_stderr\": 0.028037929969114986\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6638655462184874,\n \"acc_stderr\": 0.030684737115135363,\n\ \ \"acc_norm\": 0.6638655462184874,\n \"acc_norm_stderr\": 0.030684737115135363\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.36423841059602646,\n \"acc_stderr\": 0.03929111781242741,\n \"\ acc_norm\": 0.36423841059602646,\n \"acc_norm_stderr\": 0.03929111781242741\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7963302752293578,\n \"acc_stderr\": 0.01726674208763079,\n \"\ acc_norm\": 0.7963302752293578,\n \"acc_norm_stderr\": 0.01726674208763079\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5092592592592593,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.5092592592592593,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7647058823529411,\n \"acc_stderr\": 0.029771775228145628,\n \"\ acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.029771775228145628\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.759493670886076,\n \"acc_stderr\": 0.027820781981149685,\n \ \ \"acc_norm\": 0.759493670886076,\n \"acc_norm_stderr\": 0.027820781981149685\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6816143497757847,\n\ \ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\ \ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7404580152671756,\n \"acc_stderr\": 0.03844876139785271,\n\ \ \"acc_norm\": 0.7404580152671756,\n \"acc_norm_stderr\": 0.03844876139785271\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.036401182719909456,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.036401182719909456\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.0401910747255735,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.0401910747255735\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.803680981595092,\n \"acc_stderr\": 0.031207970394709218,\n\ \ \"acc_norm\": 0.803680981595092,\n \"acc_norm_stderr\": 0.031207970394709218\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5089285714285714,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\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\": 0.8547008547008547,\n\ \ \"acc_stderr\": 0.023086635086841407,\n \"acc_norm\": 0.8547008547008547,\n\ \ \"acc_norm_stderr\": 0.023086635086841407\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8058748403575989,\n\ \ \"acc_stderr\": 0.01414397027665757,\n \"acc_norm\": 0.8058748403575989,\n\ \ \"acc_norm_stderr\": 0.01414397027665757\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6647398843930635,\n \"acc_stderr\": 0.025416003773165545,\n\ \ \"acc_norm\": 0.6647398843930635,\n \"acc_norm_stderr\": 0.025416003773165545\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.37206703910614525,\n\ \ \"acc_stderr\": 0.016165847583563295,\n \"acc_norm\": 0.37206703910614525,\n\ \ \"acc_norm_stderr\": 0.016165847583563295\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7418300653594772,\n \"acc_stderr\": 0.025058503316958147,\n\ \ \"acc_norm\": 0.7418300653594772,\n \"acc_norm_stderr\": 0.025058503316958147\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6913183279742765,\n\ \ \"acc_stderr\": 0.026236965881153266,\n \"acc_norm\": 0.6913183279742765,\n\ \ \"acc_norm_stderr\": 0.026236965881153266\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7067901234567902,\n \"acc_stderr\": 0.025329888171900922,\n\ \ \"acc_norm\": 0.7067901234567902,\n \"acc_norm_stderr\": 0.025329888171900922\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\": 0.42894393741851367,\n\ \ \"acc_stderr\": 0.012640625443067356,\n \"acc_norm\": 0.42894393741851367,\n\ \ \"acc_norm_stderr\": 0.012640625443067356\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6433823529411765,\n \"acc_stderr\": 0.029097209568411952,\n\ \ \"acc_norm\": 0.6433823529411765,\n \"acc_norm_stderr\": 0.029097209568411952\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6405228758169934,\n \"acc_stderr\": 0.019412539242032165,\n \ \ \"acc_norm\": 0.6405228758169934,\n \"acc_norm_stderr\": 0.019412539242032165\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8109452736318408,\n\ \ \"acc_stderr\": 0.02768691358801301,\n \"acc_norm\": 0.8109452736318408,\n\ \ \"acc_norm_stderr\": 0.02768691358801301\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.034873508801977704,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.034873508801977704\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5481927710843374,\n\ \ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.5481927710843374,\n\ \ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.027966785859160893,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.027966785859160893\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.2998776009791922,\n\ \ \"mc1_stderr\": 0.016040352966713627,\n \"mc2\": 0.45088578827366993,\n\ \ \"mc2_stderr\": 0.01466973973064534\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7719021310181531,\n \"acc_stderr\": 0.011793015817663592\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.40181956027293403,\n \ \ \"acc_stderr\": 0.013504357787494032\n }\n}\n```" repo_url: https://huggingface.co/TeeZee/DarkSapling-7B-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: 2024_02_10T01_29_46.397110 path: - '/details_harness\|arc:challenge\|25_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-02-10T01-29-46.397110.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|gsm8k\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hellaswag\|10_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T01-29-46.397110.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-02-10T01-29-46.397110.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '/details_harness\|winogrande\|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-02-10T01-29-46.397110.parquet' - config_name: results data_files: - split: 2024_02_10T01_29_46.397110 path: - results_2024-02-10T01-29-46.397110.parquet - split: latest path: - results_2024-02-10T01-29-46.397110.parquet --- # Dataset Card for Evaluation run of TeeZee/DarkSapling-7B-v1.0 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [TeeZee/DarkSapling-7B-v1.0](https://huggingface.co/TeeZee/DarkSapling-7B-v1.0) 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_TeeZee__DarkSapling-7B-v1.0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-10T01:29:46.397110](https://huggingface.co/datasets/open-llm-leaderboard/details_TeeZee__DarkSapling-7B-v1.0/blob/main/results_2024-02-10T01-29-46.397110.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": 0.6228272261948034, "acc_stderr": 0.032723127441021765, "acc_norm": 0.6278792920359817, "acc_norm_stderr": 0.03338301615189635, "mc1": 0.2998776009791922, "mc1_stderr": 0.016040352966713627, "mc2": 0.45088578827366993, "mc2_stderr": 0.01466973973064534 }, "harness\|arc:challenge\|25": { "acc": 0.5861774744027304, "acc_stderr": 0.014392730009221007, "acc_norm": 0.6160409556313993, "acc_norm_stderr": 0.01421244498065189 }, "harness\|hellaswag\|10": { "acc": 0.6296554471220872, "acc_stderr": 0.004819100456867812, "acc_norm": 0.8259310894244174, "acc_norm_stderr": 0.0037839381501516165 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "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": 0.6513157894736842, "acc_stderr": 0.038781398887976104, "acc_norm": 0.6513157894736842, "acc_norm_stderr": 0.038781398887976104 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6566037735849056, "acc_stderr": 0.02922452646912479, "acc_norm": 0.6566037735849056, "acc_norm_stderr": 0.02922452646912479 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7083333333333334, "acc_stderr": 0.038009680605548594, "acc_norm": 0.7083333333333334, "acc_norm_stderr": 0.038009680605548594 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6127167630057804, "acc_stderr": 0.03714325906302065, "acc_norm": 0.6127167630057804, "acc_norm_stderr": 0.03714325906302065 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5361702127659574, "acc_stderr": 0.03260038511835771, "acc_norm": 0.5361702127659574, "acc_norm_stderr": 0.03260038511835771 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5263157894736842, "acc_stderr": 0.04697085136647861, "acc_norm": 0.5263157894736842, "acc_norm_stderr": 0.04697085136647861 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878151, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878151 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.42857142857142855, "acc_stderr": 0.02548718714785938, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.02548718714785938 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.3888888888888889, "acc_stderr": 0.04360314860077459, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.04360314860077459 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7580645161290323, "acc_stderr": 0.024362599693031096, "acc_norm": 0.7580645161290323, "acc_norm_stderr": 0.024362599693031096 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5024630541871922, "acc_stderr": 0.035179450386910616, "acc_norm": 0.5024630541871922, "acc_norm_stderr": 0.035179450386910616 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7454545454545455, "acc_stderr": 0.03401506715249039, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.03401506715249039 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7929292929292929, "acc_stderr": 0.028869778460267052, "acc_norm": 0.7929292929292929, "acc_norm_stderr": 0.028869778460267052 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8393782383419689, "acc_stderr": 0.026499057701397443, "acc_norm": 0.8393782383419689, "acc_norm_stderr": 0.026499057701397443 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6307692307692307, "acc_stderr": 0.02446861524147893, "acc_norm": 0.6307692307692307, "acc_norm_stderr": 0.02446861524147893 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3037037037037037, "acc_stderr": 0.028037929969114986, "acc_norm": 0.3037037037037037, "acc_norm_stderr": 0.028037929969114986 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6638655462184874, "acc_stderr": 0.030684737115135363, "acc_norm": 0.6638655462184874, "acc_norm_stderr": 0.030684737115135363 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.36423841059602646, "acc_stderr": 0.03929111781242741, "acc_norm": 0.36423841059602646, "acc_norm_stderr": 0.03929111781242741 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7963302752293578, "acc_stderr": 0.01726674208763079, "acc_norm": 0.7963302752293578, "acc_norm_stderr": 0.01726674208763079 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5092592592592593, "acc_stderr": 0.034093869469927006, "acc_norm": 0.5092592592592593, "acc_norm_stderr": 0.034093869469927006 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7647058823529411, "acc_stderr": 0.029771775228145628, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.029771775228145628 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.759493670886076, "acc_stderr": 0.027820781981149685, "acc_norm": 0.759493670886076, "acc_norm_stderr": 0.027820781981149685 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6816143497757847, "acc_stderr": 0.03126580522513713, "acc_norm": 0.6816143497757847, "acc_norm_stderr": 0.03126580522513713 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7404580152671756, "acc_stderr": 0.03844876139785271, "acc_norm": 0.7404580152671756, "acc_norm_stderr": 0.03844876139785271 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8016528925619835, "acc_stderr": 0.036401182719909456, "acc_norm": 0.8016528925619835, "acc_norm_stderr": 0.036401182719909456 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.0401910747255735, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.0401910747255735 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.803680981595092, "acc_stderr": 0.031207970394709218, "acc_norm": 0.803680981595092, "acc_norm_stderr": 0.031207970394709218 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.5089285714285714, "acc_stderr": 0.04745033255489123, "acc_norm": 0.5089285714285714, "acc_norm_stderr": 0.04745033255489123 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7475728155339806, "acc_stderr": 0.04301250399690878, "acc_norm": 0.7475728155339806, "acc_norm_stderr": 0.04301250399690878 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8547008547008547, "acc_stderr": 0.023086635086841407, "acc_norm": 0.8547008547008547, "acc_norm_stderr": 0.023086635086841407 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8058748403575989, "acc_stderr": 0.01414397027665757, "acc_norm": 0.8058748403575989, "acc_norm_stderr": 0.01414397027665757 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6647398843930635, "acc_stderr": 0.025416003773165545, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.025416003773165545 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.37206703910614525, "acc_stderr": 0.016165847583563295, "acc_norm": 0.37206703910614525, "acc_norm_stderr": 0.016165847583563295 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7418300653594772, "acc_stderr": 0.025058503316958147, "acc_norm": 0.7418300653594772, "acc_norm_stderr": 0.025058503316958147 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6913183279742765, "acc_stderr": 0.026236965881153266, "acc_norm": 0.6913183279742765, "acc_norm_stderr": 0.026236965881153266 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7067901234567902, "acc_stderr": 0.025329888171900922, "acc_norm": 0.7067901234567902, "acc_norm_stderr": 0.025329888171900922 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4858156028368794, "acc_stderr": 0.02981549448368206, "acc_norm": 0.4858156028368794, "acc_norm_stderr": 0.02981549448368206 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.42894393741851367, "acc_stderr": 0.012640625443067356, "acc_norm": 0.42894393741851367, "acc_norm_stderr": 0.012640625443067356 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6433823529411765, "acc_stderr": 0.029097209568411952, "acc_norm": 0.6433823529411765, "acc_norm_stderr": 0.029097209568411952 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6405228758169934, "acc_stderr": 0.019412539242032165, "acc_norm": 0.6405228758169934, "acc_norm_stderr": 0.019412539242032165 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8109452736318408, "acc_stderr": 0.02768691358801301, "acc_norm": 0.8109452736318408, "acc_norm_stderr": 0.02768691358801301 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.86, "acc_stderr": 0.034873508801977704, "acc_norm": 0.86, "acc_norm_stderr": 0.034873508801977704 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5481927710843374, "acc_stderr": 0.03874371556587953, "acc_norm": 0.5481927710843374, "acc_norm_stderr": 0.03874371556587953 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8421052631578947, "acc_stderr": 0.027966785859160893, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.027966785859160893 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.2998776009791922, "mc1_stderr": 0.016040352966713627, "mc2": 0.45088578827366993, "mc2_stderr": 0.01466973973064534 }, "harness\|winogrande\|5": { "acc": 0.7719021310181531, "acc_stderr": 0.011793015817663592 }, "harness\|gsm8k\|5": { "acc": 0.40181956027293403, "acc_stderr": 0.013504357787494032 } } ``` ## 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 systems who originally created the data. 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.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. 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]
irds/nyt_wksup	--- pretty_name: '`nyt/wksup`' viewer: false source_datasets: ['irds/nyt'] task_categories: - text-retrieval --- # Dataset Card for `nyt/wksup` The `nyt/wksup` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/nyt#nyt/wksup). # Data This dataset provides: - `queries` (i.e., topics); count=1,864,661 - `qrels`: (relevance assessments); count=1,864,661 - For `docs`, use [`irds/nyt`](https://huggingface.co/datasets/irds/nyt) ## Usage ```python from datasets import load_dataset queries = load_dataset('irds/nyt_wksup', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} qrels = load_dataset('irds/nyt_wksup', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ...} ``` Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format. ## Citation Information ``` @inproceedings{MacAvaney2019Wksup, author = {MacAvaney, Sean and Yates, Andrew and Hui, Kai and Frieder, Ophir}, title = {Content-Based Weak Supervision for Ad-Hoc Re-Ranking}, booktitle = {SIGIR}, year = {2019} } @article{Sandhaus2008Nyt, title={The new york times annotated corpus}, author={Sandhaus, Evan}, journal={Linguistic Data Consortium, Philadelphia}, volume={6}, number={12}, pages={e26752}, year={2008} } ```
open-llm-leaderboard/details_tiiuae__falcon-180B	--- pretty_name: Evaluation run of tiiuae/falcon-180B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [tiiuae/falcon-180B](https://huggingface.co/tiiuae/falcon-180B) on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 66 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 32 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_tiiuae__falcon-180B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-24T10:17:51.759984](https://huggingface.co/datasets/open-llm-leaderboard/details_tiiuae__falcon-180B/blob/main/results_2023-10-24T10-17-51.759984.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\": 0.0028313758389261743,\n\ \ \"em_stderr\": 0.0005441551135493806,\n \"f1\": 0.06573301174496615,\n\ \ \"f1_stderr\": 0.0013666874377791776,\n \"acc\": 0.6642104078991223,\n\ \ \"acc_stderr\": 0.011605139145295384\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0028313758389261743,\n \"em_stderr\": 0.0005441551135493806,\n\ \ \"f1\": 0.06573301174496615,\n \"f1_stderr\": 0.0013666874377791776\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.45943896891584535,\n \ \ \"acc_stderr\": 0.01372709301042978\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8689818468823993,\n \"acc_stderr\": 0.009483185280160986\n\ \ }\n}\n```" repo_url: https://huggingface.co/tiiuae/falcon-180B 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_30T14_31_39.488381 path: - '/details_harness\|arc:challenge\|25_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|arc:challenge\|25_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|arc:challenge\|25_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|arc:challenge\|25_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|arc:challenge\|25_2023-09-01T15:12:02.263774.parquet' - split: 2023_09_25T09_30_46.601936 path: - '/details_harness\|arc:challenge\|25_2023-09-25T09-30-46.601936.parquet' - split: 2023_09_25T09_42_43.006060 path: - '/details_harness\|arc:challenge\|25_2023-09-25T09-42-43.006060.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-25T09-42-43.006060.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_23T17_29_05.444286 path: - '/details_harness\|drop\|3_2023-10-23T17-29-05.444286.parquet' - split: 2023_10_24T10_17_51.759984 path: - '/details_harness\|drop\|3_2023-10-24T10-17-51.759984.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-24T10-17-51.759984.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_23T17_29_05.444286 path: - '/details_harness\|gsm8k\|5_2023-10-23T17-29-05.444286.parquet' - split: 2023_10_24T10_17_51.759984 path: - '/details_harness\|gsm8k\|5_2023-10-24T10-17-51.759984.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-24T10-17-51.759984.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hellaswag\|10_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hellaswag\|10_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hellaswag\|10_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hellaswag\|10_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hellaswag\|10_2023-09-01T15:12:02.263774.parquet' - split: 2023_09_25T11_16_10.146827 path: - '/details_harness\|hellaswag\|10_2023-09-25T11-16-10.146827.parquet' - split: 2023_09_25T11_28_53.879118 path: - '/details_harness\|hellaswag\|10_2023-09-25T11-28-53.879118.parquet' - split: 2023_09_25T13_20_00.898508 path: - '/details_harness\|hellaswag\|10_2023-09-25T13-20-00.898508.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-25T13-20-00.898508.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-30T14:31:39.488381.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-30T19:27:57.090829.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-31T01:32:36.577851.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-31T12:44:38.148712.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-01T15:12:02.263774.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_30T14_31_39.488381 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-01T15:12:02.263774.parquet' - split: 2023_09_25T09_49_01.514206 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-25T09-49-01.514206.parquet' - split: 2023_09_25T09_57_43.547983 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-25T09-57-43.547983.parquet' - split: 2023_09_25T10_06_12.822356 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-25T10-06-12.822356.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-25T10-06-12.822356.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_23T17_29_05.444286 path: - '/details_harness\|winogrande\|5_2023-10-23T17-29-05.444286.parquet' - split: 2023_10_24T10_17_51.759984 path: - '/details_harness\|winogrande\|5_2023-10-24T10-17-51.759984.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-24T10-17-51.759984.parquet' - config_name: original_mmlu_5 data_files: - split: 2023_09_21T14_54_28.631498 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-21T14-54-28.631498.parquet' - split: 2023_09_21T15_14_19.361952 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-21T15-14-19.361952.parquet' - split: 2023_09_22T15_08_20.868776 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T15-08-20.868776.parquet' - split: 2023_09_22T15_09_58.434868 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T15-09-58.434868.parquet' - split: 2023_09_22T15_40_03.532661 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T15-40-03.532661.parquet' - split: 2023_09_22T19_13_36.680152 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T19-13-36.680152.parquet' - split: 2023_09_22T19_25_51.687929 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T19-25-51.687929.parquet' - split: 2023_09_22T19_38_30.055713 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T19-38-30.055713.parquet' - split: 2023_09_22T19_56_14.188877 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T19-56-14.188877.parquet' - split: 2023_09_22T20_44_00.745184 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T20-44-00.745184.parquet' - split: 2023_09_22T21_16_36.510313 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T21-16-36.510313.parquet' - split: 2023_09_22T21_30_38.663736 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T21-30-38.663736.parquet' - split: 2023_09_22T21_39_07.387549 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T21-39-07.387549.parquet' - split: 2023_09_22T21_46_48.392874 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T21-46-48.392874.parquet' - split: 2023_09_22T22_06_13.624503 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T22-06-13.624503.parquet' - split: 2023_09_22T22_21_06.865348 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T22-21-06.865348.parquet' - split: 2023_09_23T09_44_24.946036 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-23T09-44-24.946036.parquet' - split: latest path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-23T09-44-24.946036.parquet' - config_name: original_mmlu_high_school_government_and_politics_5 data_files: - split: 2023_09_21T14_54_28.631498 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-21T14-54-28.631498.parquet' - split: 2023_09_21T15_14_19.361952 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-21T15-14-19.361952.parquet' - split: 2023_09_22T15_08_20.868776 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T15-08-20.868776.parquet' - split: 2023_09_22T15_09_58.434868 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T15-09-58.434868.parquet' - split: 2023_09_22T15_40_03.532661 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T15-40-03.532661.parquet' - split: 2023_09_22T19_13_36.680152 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T19-13-36.680152.parquet' - split: 2023_09_22T19_25_51.687929 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T19-25-51.687929.parquet' - split: 2023_09_22T19_38_30.055713 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T19-38-30.055713.parquet' - split: 2023_09_22T19_56_14.188877 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T19-56-14.188877.parquet' - split: 2023_09_22T20_44_00.745184 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T20-44-00.745184.parquet' - split: 2023_09_22T21_16_36.510313 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T21-16-36.510313.parquet' - split: 2023_09_22T21_30_38.663736 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T21-30-38.663736.parquet' - split: 2023_09_22T21_39_07.387549 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T21-39-07.387549.parquet' - split: 2023_09_22T21_46_48.392874 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T21-46-48.392874.parquet' - split: 2023_09_22T22_06_13.624503 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T22-06-13.624503.parquet' - split: 2023_09_22T22_21_06.865348 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-22T22-21-06.865348.parquet' - split: 2023_09_23T09_44_24.946036 path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-23T09-44-24.946036.parquet' - split: latest path: - '/details_original\|mmlu:high_school_government_and_politics\|5_2023-09-23T09-44-24.946036.parquet' - config_name: results data_files: - split: 2023_09_21T14_54_28.631498 path: - results_2023-09-21T14-54-28.631498.parquet - split: 2023_09_21T15_14_19.361952 path: - results_2023-09-21T15-14-19.361952.parquet - split: 2023_09_22T15_08_20.868776 path: - results_2023-09-22T15-08-20.868776.parquet - split: 2023_09_22T15_09_58.434868 path: - results_2023-09-22T15-09-58.434868.parquet - split: 2023_09_22T15_40_03.532661 path: - results_2023-09-22T15-40-03.532661.parquet - split: 2023_09_22T19_13_36.680152 path: - results_2023-09-22T19-13-36.680152.parquet - split: 2023_09_22T19_25_51.687929 path: - results_2023-09-22T19-25-51.687929.parquet - split: 2023_09_22T19_38_30.055713 path: - results_2023-09-22T19-38-30.055713.parquet - split: 2023_09_22T19_56_14.188877 path: - results_2023-09-22T19-56-14.188877.parquet - split: 2023_09_22T20_44_00.745184 path: - results_2023-09-22T20-44-00.745184.parquet - split: 2023_09_22T21_16_36.510313 path: - results_2023-09-22T21-16-36.510313.parquet - split: 2023_09_22T21_30_38.663736 path: - results_2023-09-22T21-30-38.663736.parquet - split: 2023_09_22T21_39_07.387549 path: - results_2023-09-22T21-39-07.387549.parquet - split: 2023_09_22T21_46_48.392874 path: - results_2023-09-22T21-46-48.392874.parquet - split: 2023_09_22T22_06_13.624503 path: - results_2023-09-22T22-06-13.624503.parquet - split: 2023_09_22T22_21_06.865348 path: - results_2023-09-22T22-21-06.865348.parquet - split: 2023_09_23T09_44_24.946036 path: - results_2023-09-23T09-44-24.946036.parquet - split: 2023_09_25T09_30_46.601936 path: - results_2023-09-25T09-30-46.601936.parquet - split: 2023_09_25T09_42_43.006060 path: - results_2023-09-25T09-42-43.006060.parquet - split: 2023_09_25T09_49_01.514206 path: - results_2023-09-25T09-49-01.514206.parquet - split: 2023_09_25T09_57_43.547983 path: - results_2023-09-25T09-57-43.547983.parquet - split: 2023_09_25T10_06_12.822356 path: - results_2023-09-25T10-06-12.822356.parquet - split: 2023_09_25T11_16_10.146827 path: - results_2023-09-25T11-16-10.146827.parquet - split: 2023_09_25T11_28_53.879118 path: - results_2023-09-25T11-28-53.879118.parquet - split: 2023_09_25T13_20_00.898508 path: - results_2023-09-25T13-20-00.898508.parquet - split: 2023_10_23T17_29_05.444286 path: - results_2023-10-23T17-29-05.444286.parquet - split: 2023_10_24T10_17_51.759984 path: - results_2023-10-24T10-17-51.759984.parquet - split: latest path: - results_2023-10-24T10-17-51.759984.parquet --- # Dataset Card for Evaluation run of tiiuae/falcon-180B ## Dataset Description - Homepage: - Repository: https://huggingface.co/tiiuae/falcon-180B - 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 [tiiuae/falcon-180B](https://huggingface.co/tiiuae/falcon-180B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 66 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 32 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_tiiuae__falcon-180B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-24T10:17:51.759984](https://huggingface.co/datasets/open-llm-leaderboard/details_tiiuae__falcon-180B/blob/main/results_2023-10-24T10-17-51.759984.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": 0.0028313758389261743, "em_stderr": 0.0005441551135493806, "f1": 0.06573301174496615, "f1_stderr": 0.0013666874377791776, "acc": 0.6642104078991223, "acc_stderr": 0.011605139145295384 }, "harness\|drop\|3": { "em": 0.0028313758389261743, "em_stderr": 0.0005441551135493806, "f1": 0.06573301174496615, "f1_stderr": 0.0013666874377791776 }, "harness\|gsm8k\|5": { "acc": 0.45943896891584535, "acc_stderr": 0.01372709301042978 }, "harness\|winogrande\|5": { "acc": 0.8689818468823993, "acc_stderr": 0.009483185280160986 } } ``` ### 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]
Wanfq/KCA_data	--- license: cc-by-nc-4.0 language: - en ---
open-llm-leaderboard/details_Zardos__Kant-Test-0.1-Mistral-7B	--- pretty_name: Evaluation run of Zardos/Kant-Test-0.1-Mistral-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Zardos/Kant-Test-0.1-Mistral-7B](https://huggingface.co/Zardos/Kant-Test-0.1-Mistral-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 3 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_Zardos__Kant-Test-0.1-Mistral-7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-10T11:05:46.345175](https://huggingface.co/datasets/open-llm-leaderboard/details_Zardos__Kant-Test-0.1-Mistral-7B/blob/main/results_2023-12-10T11-05-46.345175.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\": 0.6253667303213345,\n\ \ \"acc_stderr\": 0.03253315196101968,\n \"acc_norm\": 0.6318205791064505,\n\ \ \"acc_norm_stderr\": 0.033203023073407084,\n \"mc1\": 0.3402692778457772,\n\ \ \"mc1_stderr\": 0.016586304901762557,\n \"mc2\": 0.4940424629624919,\n\ \ \"mc2_stderr\": 0.014891468326851799\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5844709897610921,\n \"acc_stderr\": 0.014401366641216388,\n\ \ \"acc_norm\": 0.6177474402730375,\n \"acc_norm_stderr\": 0.014200454049979275\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6352320254929297,\n\ \ \"acc_stderr\": 0.004803812631994957,\n \"acc_norm\": 0.828918542123083,\n\ \ \"acc_norm_stderr\": 0.0037581050431501257\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6513157894736842,\n \"acc_stderr\": 0.038781398887976104,\n\ \ \"acc_norm\": 0.6513157894736842,\n \"acc_norm_stderr\": 0.038781398887976104\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"acc_norm_stderr\"\ : 0.05\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\": {\n \"\ acc\": 0.6641509433962264,\n \"acc_stderr\": 0.02906722014664483,\n \ \ \"acc_norm\": 0.6641509433962264,\n \"acc_norm_stderr\": 0.02906722014664483\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6944444444444444,\n\ \ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n\ \ \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness\|hendrycksTest-college_chemistry\|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-college_computer_science\|5\": {\n \"\ acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\"\ : 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5895953757225434,\n\ \ \"acc_stderr\": 0.03750757044895536,\n \"acc_norm\": 0.5895953757225434,\n\ \ \"acc_norm_stderr\": 0.03750757044895536\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.3627450980392157,\n \"acc_stderr\": 0.04784060704105652,\n\ \ \"acc_norm\": 0.3627450980392157,\n \"acc_norm_stderr\": 0.04784060704105652\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5531914893617021,\n \"acc_stderr\": 0.0325005368436584,\n\ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.0325005368436584\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.47368421052631576,\n\ \ \"acc_stderr\": 0.046970851366478626,\n \"acc_norm\": 0.47368421052631576,\n\ \ \"acc_norm_stderr\": 0.046970851366478626\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n\ \ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.41005291005291006,\n \"acc_stderr\": 0.025331202438944433,\n \"\ acc_norm\": 0.41005291005291006,\n \"acc_norm_stderr\": 0.025331202438944433\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.40476190476190477,\n\ \ \"acc_stderr\": 0.04390259265377562,\n \"acc_norm\": 0.40476190476190477,\n\ \ \"acc_norm_stderr\": 0.04390259265377562\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7483870967741936,\n\ \ \"acc_stderr\": 0.024685979286239963,\n \"acc_norm\": 0.7483870967741936,\n\ \ \"acc_norm_stderr\": 0.024685979286239963\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n\ \ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\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\": 0.7575757575757576,\n \"acc_stderr\": 0.03346409881055953,\n\ \ \"acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.03346409881055953\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217487,\n \"\ acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217487\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8652849740932642,\n \"acc_stderr\": 0.02463978909770944,\n\ \ \"acc_norm\": 0.8652849740932642,\n \"acc_norm_stderr\": 0.02463978909770944\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6256410256410256,\n \"acc_stderr\": 0.0245375915728305,\n \ \ \"acc_norm\": 0.6256410256410256,\n \"acc_norm_stderr\": 0.0245375915728305\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.34814814814814815,\n \"acc_stderr\": 0.029045600290616258,\n \ \ \"acc_norm\": 0.34814814814814815,\n \"acc_norm_stderr\": 0.029045600290616258\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6302521008403361,\n \"acc_stderr\": 0.03135709599613591,\n \ \ \"acc_norm\": 0.6302521008403361,\n \"acc_norm_stderr\": 0.03135709599613591\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8036697247706422,\n \"acc_stderr\": 0.01703071933915435,\n \"\ acc_norm\": 0.8036697247706422,\n \"acc_norm_stderr\": 0.01703071933915435\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.49074074074074076,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.49074074074074076,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7745098039215687,\n \"acc_stderr\": 0.02933116229425174,\n \"\ acc_norm\": 0.7745098039215687,\n \"acc_norm_stderr\": 0.02933116229425174\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7763713080168776,\n \"acc_stderr\": 0.027123298205229966,\n \ \ \"acc_norm\": 0.7763713080168776,\n \"acc_norm_stderr\": 0.027123298205229966\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7862595419847328,\n \"acc_stderr\": 0.0359546161177469,\n\ \ \"acc_norm\": 0.7862595419847328,\n \"acc_norm_stderr\": 0.0359546161177469\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.03640118271990947,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.03640118271990947\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.04236511258094633,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.04236511258094633\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7914110429447853,\n \"acc_stderr\": 0.031921934489347235,\n\ \ \"acc_norm\": 0.7914110429447853,\n \"acc_norm_stderr\": 0.031921934489347235\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.49107142857142855,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.49107142857142855,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.039891398595317706,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.039891398595317706\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8632478632478633,\n\ \ \"acc_stderr\": 0.022509033937077812,\n \"acc_norm\": 0.8632478632478633,\n\ \ \"acc_norm_stderr\": 0.022509033937077812\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.80970625798212,\n\ \ \"acc_stderr\": 0.01403694585038139,\n \"acc_norm\": 0.80970625798212,\n\ \ \"acc_norm_stderr\": 0.01403694585038139\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6936416184971098,\n \"acc_stderr\": 0.024818350129436593,\n\ \ \"acc_norm\": 0.6936416184971098,\n \"acc_norm_stderr\": 0.024818350129436593\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.3642458100558659,\n\ \ \"acc_stderr\": 0.016094338768474596,\n \"acc_norm\": 0.3642458100558659,\n\ \ \"acc_norm_stderr\": 0.016094338768474596\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.025261691219729484,\n\ \ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.025261691219729484\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818774,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818774\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7191358024691358,\n \"acc_stderr\": 0.025006469755799208,\n\ \ \"acc_norm\": 0.7191358024691358,\n \"acc_norm_stderr\": 0.025006469755799208\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4787234042553192,\n \"acc_stderr\": 0.029800481645628693,\n \ \ \"acc_norm\": 0.4787234042553192,\n \"acc_norm_stderr\": 0.029800481645628693\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4511082138200782,\n\ \ \"acc_stderr\": 0.012709037347346233,\n \"acc_norm\": 0.4511082138200782,\n\ \ \"acc_norm_stderr\": 0.012709037347346233\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6507352941176471,\n \"acc_stderr\": 0.028959755196824873,\n\ \ \"acc_norm\": 0.6507352941176471,\n \"acc_norm_stderr\": 0.028959755196824873\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6666666666666666,\n \"acc_stderr\": 0.019070985589687492,\n \ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.019070985589687492\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\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784603,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784603\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.026193923544454125,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.026193923544454125\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\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\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640038,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640038\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3402692778457772,\n\ \ \"mc1_stderr\": 0.016586304901762557,\n \"mc2\": 0.4940424629624919,\n\ \ \"mc2_stderr\": 0.014891468326851799\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7853196527229677,\n \"acc_stderr\": 0.011539912734345396\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.3115996967399545,\n \ \ \"acc_stderr\": 0.012757375376754941\n }\n}\n```" repo_url: https://huggingface.co/Zardos/Kant-Test-0.1-Mistral-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: 2023_12_09T19_34_29.855469 path: - '/details_harness\|arc:challenge\|25_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|arc:challenge\|25_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|arc:challenge\|25_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-10T11-05-46.345175.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|gsm8k\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|gsm8k\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|gsm8k\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hellaswag\|10_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hellaswag\|10_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hellaswag\|10_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T19-34-29.855469.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T19-45-27.448654.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-10T11-05-46.345175.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-10T11-05-46.345175.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '/details_harness\|winogrande\|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '/details_harness\|winogrande\|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '/details_harness\|winogrande\|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-10T11-05-46.345175.parquet' - config_name: results data_files: - split: 2023_12_09T19_34_29.855469 path: - results_2023-12-09T19-34-29.855469.parquet - split: 2023_12_09T19_45_27.448654 path: - results_2023-12-09T19-45-27.448654.parquet - split: 2023_12_10T11_05_46.345175 path: - results_2023-12-10T11-05-46.345175.parquet - split: latest path: - results_2023-12-10T11-05-46.345175.parquet --- # Dataset Card for Evaluation run of Zardos/Kant-Test-0.1-Mistral-7B ## Dataset Description - Homepage: - Repository: https://huggingface.co/Zardos/Kant-Test-0.1-Mistral-7B - 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 [Zardos/Kant-Test-0.1-Mistral-7B](https://huggingface.co/Zardos/Kant-Test-0.1-Mistral-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 3 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_Zardos__Kant-Test-0.1-Mistral-7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-10T11:05:46.345175](https://huggingface.co/datasets/open-llm-leaderboard/details_Zardos__Kant-Test-0.1-Mistral-7B/blob/main/results_2023-12-10T11-05-46.345175.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": 0.6253667303213345, "acc_stderr": 0.03253315196101968, "acc_norm": 0.6318205791064505, "acc_norm_stderr": 0.033203023073407084, "mc1": 0.3402692778457772, "mc1_stderr": 0.016586304901762557, "mc2": 0.4940424629624919, "mc2_stderr": 0.014891468326851799 }, "harness\|arc:challenge\|25": { "acc": 0.5844709897610921, "acc_stderr": 0.014401366641216388, "acc_norm": 0.6177474402730375, "acc_norm_stderr": 0.014200454049979275 }, "harness\|hellaswag\|10": { "acc": 0.6352320254929297, "acc_stderr": 0.004803812631994957, "acc_norm": 0.828918542123083, "acc_norm_stderr": 0.0037581050431501257 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6513157894736842, "acc_stderr": 0.038781398887976104, "acc_norm": 0.6513157894736842, "acc_norm_stderr": 0.038781398887976104 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6641509433962264, "acc_stderr": 0.02906722014664483, "acc_norm": 0.6641509433962264, "acc_norm_stderr": 0.02906722014664483 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6944444444444444, "acc_stderr": 0.03852084696008534, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.03852084696008534 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5895953757225434, "acc_stderr": 0.03750757044895536, "acc_norm": 0.5895953757225434, "acc_norm_stderr": 0.03750757044895536 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.3627450980392157, "acc_stderr": 0.04784060704105652, "acc_norm": 0.3627450980392157, "acc_norm_stderr": 0.04784060704105652 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5531914893617021, "acc_stderr": 0.0325005368436584, "acc_norm": 0.5531914893617021, "acc_norm_stderr": 0.0325005368436584 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.47368421052631576, "acc_stderr": 0.046970851366478626, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.046970851366478626 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.41005291005291006, "acc_stderr": 0.025331202438944433, "acc_norm": 0.41005291005291006, "acc_norm_stderr": 0.025331202438944433 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.40476190476190477, "acc_stderr": 0.04390259265377562, "acc_norm": 0.40476190476190477, "acc_norm_stderr": 0.04390259265377562 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7483870967741936, "acc_stderr": 0.024685979286239963, "acc_norm": 0.7483870967741936, "acc_norm_stderr": 0.024685979286239963 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5172413793103449, "acc_stderr": 0.035158955511656986, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.035158955511656986 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7575757575757576, "acc_stderr": 0.03346409881055953, "acc_norm": 0.7575757575757576, "acc_norm_stderr": 0.03346409881055953 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7676767676767676, "acc_stderr": 0.030088629490217487, "acc_norm": 0.7676767676767676, "acc_norm_stderr": 0.030088629490217487 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8652849740932642, "acc_stderr": 0.02463978909770944, "acc_norm": 0.8652849740932642, "acc_norm_stderr": 0.02463978909770944 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6256410256410256, "acc_stderr": 0.0245375915728305, "acc_norm": 0.6256410256410256, "acc_norm_stderr": 0.0245375915728305 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.34814814814814815, "acc_stderr": 0.029045600290616258, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.029045600290616258 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6302521008403361, "acc_stderr": 0.03135709599613591, "acc_norm": 0.6302521008403361, "acc_norm_stderr": 0.03135709599613591 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8036697247706422, "acc_stderr": 0.01703071933915435, "acc_norm": 0.8036697247706422, "acc_norm_stderr": 0.01703071933915435 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.49074074074074076, "acc_stderr": 0.034093869469927006, "acc_norm": 0.49074074074074076, "acc_norm_stderr": 0.034093869469927006 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7745098039215687, "acc_stderr": 0.02933116229425174, "acc_norm": 0.7745098039215687, "acc_norm_stderr": 0.02933116229425174 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7763713080168776, "acc_stderr": 0.027123298205229966, "acc_norm": 0.7763713080168776, "acc_norm_stderr": 0.027123298205229966 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835794, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835794 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7862595419847328, "acc_stderr": 0.0359546161177469, "acc_norm": 0.7862595419847328, "acc_norm_stderr": 0.0359546161177469 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8016528925619835, "acc_stderr": 0.03640118271990947, "acc_norm": 0.8016528925619835, "acc_norm_stderr": 0.03640118271990947 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7407407407407407, "acc_stderr": 0.04236511258094633, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.04236511258094633 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7914110429447853, "acc_stderr": 0.031921934489347235, "acc_norm": 0.7914110429447853, "acc_norm_stderr": 0.031921934489347235 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.49107142857142855, "acc_stderr": 0.04745033255489123, "acc_norm": 0.49107142857142855, "acc_norm_stderr": 0.04745033255489123 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7961165048543689, "acc_stderr": 0.039891398595317706, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.039891398595317706 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8632478632478633, "acc_stderr": 0.022509033937077812, "acc_norm": 0.8632478632478633, "acc_norm_stderr": 0.022509033937077812 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.80970625798212, "acc_stderr": 0.01403694585038139, "acc_norm": 0.80970625798212, "acc_norm_stderr": 0.01403694585038139 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6936416184971098, "acc_stderr": 0.024818350129436593, "acc_norm": 0.6936416184971098, "acc_norm_stderr": 0.024818350129436593 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.3642458100558659, "acc_stderr": 0.016094338768474596, "acc_norm": 0.3642458100558659, "acc_norm_stderr": 0.016094338768474596 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7352941176470589, "acc_stderr": 0.025261691219729484, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.025261691219729484 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818774, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818774 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7191358024691358, "acc_stderr": 0.025006469755799208, "acc_norm": 0.7191358024691358, "acc_norm_stderr": 0.025006469755799208 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4787234042553192, "acc_stderr": 0.029800481645628693, "acc_norm": 0.4787234042553192, "acc_norm_stderr": 0.029800481645628693 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4511082138200782, "acc_stderr": 0.012709037347346233, "acc_norm": 0.4511082138200782, "acc_norm_stderr": 0.012709037347346233 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6507352941176471, "acc_stderr": 0.028959755196824873, "acc_norm": 0.6507352941176471, "acc_norm_stderr": 0.028959755196824873 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.019070985589687492, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.019070985589687492 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6727272727272727, "acc_stderr": 0.0449429086625209, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.0449429086625209 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7346938775510204, "acc_stderr": 0.028263889943784603, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.028263889943784603 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.835820895522388, "acc_stderr": 0.026193923544454125, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.026193923544454125 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.86, "acc_stderr": 0.0348735088019777, "acc_norm": 0.86, "acc_norm_stderr": 0.0348735088019777 }, "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": 0.8187134502923976, "acc_stderr": 0.029547741687640038, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.029547741687640038 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3402692778457772, "mc1_stderr": 0.016586304901762557, "mc2": 0.4940424629624919, "mc2_stderr": 0.014891468326851799 }, "harness\|winogrande\|5": { "acc": 0.7853196527229677, "acc_stderr": 0.011539912734345396 }, "harness\|gsm8k\|5": { "acc": 0.3115996967399545, "acc_stderr": 0.012757375376754941 } } ``` ### 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]
venkat-srinivasan-nexusflow/multiapi_prototype_CVECPE_Only	--- dataset_info: features: - name: prompt dtype: string - name: prediction dtype: string - name: ground_truth dtype: string - name: correctness dtype: int64 splits: - name: split_20231020_172523 num_bytes: 23946 num_examples: 78 - name: split_20231019_234916 num_bytes: 23946 num_examples: 78 download_size: 28725 dataset_size: 47892 --- # Dataset Card for "multiapi_prototype_CVECPE_Only" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_scb10x__typhoon-7b	--- pretty_name: Evaluation run of scb10x/typhoon-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-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_scb10x__typhoon-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-29T23:54:04.797945](https://huggingface.co/datasets/open-llm-leaderboard/details_scb10x__typhoon-7b/blob/main/results_2023-12-29T23-54-04.797945.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\": 0.5930329978732358,\n\ \ \"acc_stderr\": 0.03323235696154905,\n \"acc_norm\": 0.5989902156875104,\n\ \ \"acc_norm_stderr\": 0.03392042546889035,\n \"mc1\": 0.2594859241126071,\n\ \ \"mc1_stderr\": 0.01534540948555798,\n \"mc2\": 0.4052198339452636,\n\ \ \"mc2_stderr\": 0.014069431569242152\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5435153583617748,\n \"acc_stderr\": 0.01455594976049644,\n\ \ \"acc_norm\": 0.5853242320819113,\n \"acc_norm_stderr\": 0.014397070564409174\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6101374228241386,\n\ \ \"acc_stderr\": 0.004867221634461272,\n \"acc_norm\": 0.8154750049790879,\n\ \ \"acc_norm_stderr\": 0.0038711896202760685\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.5481481481481482,\n\ \ \"acc_stderr\": 0.042992689054808644,\n \"acc_norm\": 0.5481481481481482,\n\ \ \"acc_norm_stderr\": 0.042992689054808644\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6447368421052632,\n \"acc_stderr\": 0.038947344870133176,\n\ \ \"acc_norm\": 0.6447368421052632,\n \"acc_norm_stderr\": 0.038947344870133176\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.52,\n\ \ \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n \ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6339622641509434,\n \"acc_stderr\": 0.02964781353936524,\n\ \ \"acc_norm\": 0.6339622641509434,\n \"acc_norm_stderr\": 0.02964781353936524\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.03942082639927213,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.03942082639927213\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\"\ : 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5953757225433526,\n\ \ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.5953757225433526,\n\ \ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.04858083574266346,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.04858083574266346\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.49361702127659574,\n \"acc_stderr\": 0.03268335899936336,\n\ \ \"acc_norm\": 0.49361702127659574,\n \"acc_norm_stderr\": 0.03268335899936336\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.45614035087719296,\n\ \ \"acc_stderr\": 0.04685473041907789,\n \"acc_norm\": 0.45614035087719296,\n\ \ \"acc_norm_stderr\": 0.04685473041907789\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n\ \ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.3968253968253968,\n \"acc_stderr\": 0.025197101074246483,\n \"\ acc_norm\": 0.3968253968253968,\n \"acc_norm_stderr\": 0.025197101074246483\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.3253968253968254,\n\ \ \"acc_stderr\": 0.041905964388711366,\n \"acc_norm\": 0.3253968253968254,\n\ \ \"acc_norm_stderr\": 0.041905964388711366\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7064516129032258,\n\ \ \"acc_stderr\": 0.02590608702131929,\n \"acc_norm\": 0.7064516129032258,\n\ \ \"acc_norm_stderr\": 0.02590608702131929\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.47783251231527096,\n \"acc_stderr\": 0.03514528562175007,\n\ \ \"acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.03514528562175007\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|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-high_school_european_history\|5\"\ : {\n \"acc\": 0.696969696969697,\n \"acc_stderr\": 0.03588624800091706,\n\ \ \"acc_norm\": 0.696969696969697,\n \"acc_norm_stderr\": 0.03588624800091706\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365907,\n \"\ acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365907\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.02614848346915331,\n\ \ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.02614848346915331\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6051282051282051,\n \"acc_stderr\": 0.02478431694215638,\n \ \ \"acc_norm\": 0.6051282051282051,\n \"acc_norm_stderr\": 0.02478431694215638\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3148148148148148,\n \"acc_stderr\": 0.02831753349606649,\n \ \ \"acc_norm\": 0.3148148148148148,\n \"acc_norm_stderr\": 0.02831753349606649\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.5798319327731093,\n \"acc_stderr\": 0.03206183783236152,\n \ \ \"acc_norm\": 0.5798319327731093,\n \"acc_norm_stderr\": 0.03206183783236152\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3708609271523179,\n \"acc_stderr\": 0.03943966699183629,\n \"\ acc_norm\": 0.3708609271523179,\n \"acc_norm_stderr\": 0.03943966699183629\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7706422018348624,\n \"acc_stderr\": 0.018025349724618684,\n \"\ acc_norm\": 0.7706422018348624,\n \"acc_norm_stderr\": 0.018025349724618684\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.46296296296296297,\n \"acc_stderr\": 0.03400603625538271,\n \"\ acc_norm\": 0.46296296296296297,\n \"acc_norm_stderr\": 0.03400603625538271\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7352941176470589,\n \"acc_stderr\": 0.030964517926923393,\n \"\ acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.030964517926923393\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7215189873417721,\n \"acc_stderr\": 0.029178682304842548,\n \ \ \"acc_norm\": 0.7215189873417721,\n \"acc_norm_stderr\": 0.029178682304842548\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7709923664122137,\n \"acc_stderr\": 0.036853466317118506,\n\ \ \"acc_norm\": 0.7709923664122137,\n \"acc_norm_stderr\": 0.036853466317118506\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302871,\n \"acc_norm\"\ : 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302871\n },\n\ \ \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.6388888888888888,\n\ \ \"acc_stderr\": 0.04643454608906275,\n \"acc_norm\": 0.6388888888888888,\n\ \ \"acc_norm_stderr\": 0.04643454608906275\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615623,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615623\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.39285714285714285,\n\ \ \"acc_stderr\": 0.04635550135609976,\n \"acc_norm\": 0.39285714285714285,\n\ \ \"acc_norm_stderr\": 0.04635550135609976\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7378640776699029,\n \"acc_stderr\": 0.043546310772605956,\n\ \ \"acc_norm\": 0.7378640776699029,\n \"acc_norm_stderr\": 0.043546310772605956\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8418803418803419,\n\ \ \"acc_stderr\": 0.02390232554956039,\n \"acc_norm\": 0.8418803418803419,\n\ \ \"acc_norm_stderr\": 0.02390232554956039\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7867177522349936,\n\ \ \"acc_stderr\": 0.014648172749593524,\n \"acc_norm\": 0.7867177522349936,\n\ \ \"acc_norm_stderr\": 0.014648172749593524\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6647398843930635,\n \"acc_stderr\": 0.02541600377316555,\n\ \ \"acc_norm\": 0.6647398843930635,\n \"acc_norm_stderr\": 0.02541600377316555\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.3106145251396648,\n\ \ \"acc_stderr\": 0.015476515438005566,\n \"acc_norm\": 0.3106145251396648,\n\ \ \"acc_norm_stderr\": 0.015476515438005566\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6895424836601307,\n \"acc_stderr\": 0.0264930332251459,\n\ \ \"acc_norm\": 0.6895424836601307,\n \"acc_norm_stderr\": 0.0264930332251459\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6527331189710611,\n\ \ \"acc_stderr\": 0.027040745502307336,\n \"acc_norm\": 0.6527331189710611,\n\ \ \"acc_norm_stderr\": 0.027040745502307336\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.654320987654321,\n \"acc_stderr\": 0.02646248777700187,\n\ \ \"acc_norm\": 0.654320987654321,\n \"acc_norm_stderr\": 0.02646248777700187\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4397163120567376,\n \"acc_stderr\": 0.029609912075594106,\n \ \ \"acc_norm\": 0.4397163120567376,\n \"acc_norm_stderr\": 0.029609912075594106\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4198174706649283,\n\ \ \"acc_stderr\": 0.012604960816087375,\n \"acc_norm\": 0.4198174706649283,\n\ \ \"acc_norm_stderr\": 0.012604960816087375\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5845588235294118,\n \"acc_stderr\": 0.02993534270787774,\n\ \ \"acc_norm\": 0.5845588235294118,\n \"acc_norm_stderr\": 0.02993534270787774\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6372549019607843,\n \"acc_stderr\": 0.01945076843250551,\n \ \ \"acc_norm\": 0.6372549019607843,\n \"acc_norm_stderr\": 0.01945076843250551\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784603,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784603\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7960199004975125,\n\ \ \"acc_stderr\": 0.02849317624532607,\n \"acc_norm\": 0.7960199004975125,\n\ \ \"acc_norm_stderr\": 0.02849317624532607\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\": 0.5,\n \ \ \"acc_stderr\": 0.03892494720807614,\n \"acc_norm\": 0.5,\n \"\ acc_norm_stderr\": 0.03892494720807614\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.03061111655743253,\n\ \ \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.03061111655743253\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.2594859241126071,\n\ \ \"mc1_stderr\": 0.01534540948555798,\n \"mc2\": 0.4052198339452636,\n\ \ \"mc2_stderr\": 0.014069431569242152\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7655880031570639,\n \"acc_stderr\": 0.011906130106237992\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.3161485974222896,\n \ \ \"acc_stderr\": 0.012807630673451495\n }\n}\n```" repo_url: https://huggingface.co/scb10x/typhoon-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: 2023_12_29T23_54_04.797945 path: - '/details_harness\|arc:challenge\|25_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-29T23-54-04.797945.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|gsm8k\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hellaswag\|10_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-29T23-54-04.797945.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-29T23-54-04.797945.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '/details_harness\|winogrande\|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-29T23-54-04.797945.parquet' - config_name: results data_files: - split: 2023_12_29T23_54_04.797945 path: - results_2023-12-29T23-54-04.797945.parquet - split: latest path: - results_2023-12-29T23-54-04.797945.parquet --- # Dataset Card for Evaluation run of scb10x/typhoon-7b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-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_scb10x__typhoon-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-29T23:54:04.797945](https://huggingface.co/datasets/open-llm-leaderboard/details_scb10x__typhoon-7b/blob/main/results_2023-12-29T23-54-04.797945.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": 0.5930329978732358, "acc_stderr": 0.03323235696154905, "acc_norm": 0.5989902156875104, "acc_norm_stderr": 0.03392042546889035, "mc1": 0.2594859241126071, "mc1_stderr": 0.01534540948555798, "mc2": 0.4052198339452636, "mc2_stderr": 0.014069431569242152 }, "harness\|arc:challenge\|25": { "acc": 0.5435153583617748, "acc_stderr": 0.01455594976049644, "acc_norm": 0.5853242320819113, "acc_norm_stderr": 0.014397070564409174 }, "harness\|hellaswag\|10": { "acc": 0.6101374228241386, "acc_stderr": 0.004867221634461272, "acc_norm": 0.8154750049790879, "acc_norm_stderr": 0.0038711896202760685 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5481481481481482, "acc_stderr": 0.042992689054808644, "acc_norm": 0.5481481481481482, "acc_norm_stderr": 0.042992689054808644 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6447368421052632, "acc_stderr": 0.038947344870133176, "acc_norm": 0.6447368421052632, "acc_norm_stderr": 0.038947344870133176 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6339622641509434, "acc_stderr": 0.02964781353936524, "acc_norm": 0.6339622641509434, "acc_norm_stderr": 0.02964781353936524 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.03942082639927213, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.03942082639927213 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5953757225433526, "acc_stderr": 0.03742461193887248, "acc_norm": 0.5953757225433526, "acc_norm_stderr": 0.03742461193887248 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.39215686274509803, "acc_stderr": 0.04858083574266346, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.04858083574266346 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.49361702127659574, "acc_stderr": 0.03268335899936336, "acc_norm": 0.49361702127659574, "acc_norm_stderr": 0.03268335899936336 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.45614035087719296, "acc_stderr": 0.04685473041907789, "acc_norm": 0.45614035087719296, "acc_norm_stderr": 0.04685473041907789 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.3968253968253968, "acc_stderr": 0.025197101074246483, "acc_norm": 0.3968253968253968, "acc_norm_stderr": 0.025197101074246483 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.3253968253968254, "acc_stderr": 0.041905964388711366, "acc_norm": 0.3253968253968254, "acc_norm_stderr": 0.041905964388711366 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7064516129032258, "acc_stderr": 0.02590608702131929, "acc_norm": 0.7064516129032258, "acc_norm_stderr": 0.02590608702131929 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.47783251231527096, "acc_stderr": 0.03514528562175007, "acc_norm": 0.47783251231527096, "acc_norm_stderr": 0.03514528562175007 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.696969696969697, "acc_stderr": 0.03588624800091706, "acc_norm": 0.696969696969697, "acc_norm_stderr": 0.03588624800091706 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7474747474747475, "acc_stderr": 0.030954055470365907, "acc_norm": 0.7474747474747475, "acc_norm_stderr": 0.030954055470365907 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.844559585492228, "acc_stderr": 0.02614848346915331, "acc_norm": 0.844559585492228, "acc_norm_stderr": 0.02614848346915331 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6051282051282051, "acc_stderr": 0.02478431694215638, "acc_norm": 0.6051282051282051, "acc_norm_stderr": 0.02478431694215638 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3148148148148148, "acc_stderr": 0.02831753349606649, "acc_norm": 0.3148148148148148, "acc_norm_stderr": 0.02831753349606649 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5798319327731093, "acc_stderr": 0.03206183783236152, "acc_norm": 0.5798319327731093, "acc_norm_stderr": 0.03206183783236152 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3708609271523179, "acc_stderr": 0.03943966699183629, "acc_norm": 0.3708609271523179, "acc_norm_stderr": 0.03943966699183629 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7706422018348624, "acc_stderr": 0.018025349724618684, "acc_norm": 0.7706422018348624, "acc_norm_stderr": 0.018025349724618684 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.46296296296296297, "acc_stderr": 0.03400603625538271, "acc_norm": 0.46296296296296297, "acc_norm_stderr": 0.03400603625538271 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7352941176470589, "acc_stderr": 0.030964517926923393, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.030964517926923393 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7215189873417721, "acc_stderr": 0.029178682304842548, "acc_norm": 0.7215189873417721, "acc_norm_stderr": 0.029178682304842548 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835794, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835794 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7709923664122137, "acc_stderr": 0.036853466317118506, "acc_norm": 0.7709923664122137, "acc_norm_stderr": 0.036853466317118506 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.743801652892562, "acc_stderr": 0.03984979653302871, "acc_norm": 0.743801652892562, "acc_norm_stderr": 0.03984979653302871 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.6388888888888888, "acc_stderr": 0.04643454608906275, "acc_norm": 0.6388888888888888, "acc_norm_stderr": 0.04643454608906275 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7361963190184049, "acc_stderr": 0.03462419931615623, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.03462419931615623 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.39285714285714285, "acc_stderr": 0.04635550135609976, "acc_norm": 0.39285714285714285, "acc_norm_stderr": 0.04635550135609976 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7378640776699029, "acc_stderr": 0.043546310772605956, "acc_norm": 0.7378640776699029, "acc_norm_stderr": 0.043546310772605956 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8418803418803419, "acc_stderr": 0.02390232554956039, "acc_norm": 0.8418803418803419, "acc_norm_stderr": 0.02390232554956039 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7867177522349936, "acc_stderr": 0.014648172749593524, "acc_norm": 0.7867177522349936, "acc_norm_stderr": 0.014648172749593524 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6647398843930635, "acc_stderr": 0.02541600377316555, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.02541600377316555 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.3106145251396648, "acc_stderr": 0.015476515438005566, "acc_norm": 0.3106145251396648, "acc_norm_stderr": 0.015476515438005566 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6895424836601307, "acc_stderr": 0.0264930332251459, "acc_norm": 0.6895424836601307, "acc_norm_stderr": 0.0264930332251459 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6527331189710611, "acc_stderr": 0.027040745502307336, "acc_norm": 0.6527331189710611, "acc_norm_stderr": 0.027040745502307336 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.654320987654321, "acc_stderr": 0.02646248777700187, "acc_norm": 0.654320987654321, "acc_norm_stderr": 0.02646248777700187 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4397163120567376, "acc_stderr": 0.029609912075594106, "acc_norm": 0.4397163120567376, "acc_norm_stderr": 0.029609912075594106 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4198174706649283, "acc_stderr": 0.012604960816087375, "acc_norm": 0.4198174706649283, "acc_norm_stderr": 0.012604960816087375 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.5845588235294118, "acc_stderr": 0.02993534270787774, "acc_norm": 0.5845588235294118, "acc_norm_stderr": 0.02993534270787774 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6372549019607843, "acc_stderr": 0.01945076843250551, "acc_norm": 0.6372549019607843, "acc_norm_stderr": 0.01945076843250551 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7346938775510204, "acc_stderr": 0.028263889943784603, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.028263889943784603 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7960199004975125, "acc_stderr": 0.02849317624532607, "acc_norm": 0.7960199004975125, "acc_norm_stderr": 0.02849317624532607 }, "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": 0.5, "acc_stderr": 0.03892494720807614, "acc_norm": 0.5, "acc_norm_stderr": 0.03892494720807614 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8011695906432749, "acc_stderr": 0.03061111655743253, "acc_norm": 0.8011695906432749, "acc_norm_stderr": 0.03061111655743253 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.2594859241126071, "mc1_stderr": 0.01534540948555798, "mc2": 0.4052198339452636, "mc2_stderr": 0.014069431569242152 }, "harness\|winogrande\|5": { "acc": 0.7655880031570639, "acc_stderr": 0.011906130106237992 }, "harness\|gsm8k\|5": { "acc": 0.3161485974222896, "acc_stderr": 0.012807630673451495 } } ``` ## 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 systems who originally created the data. 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.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. 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]
TheDuyx/bass_data	--- dataset_info: features: - name: label dtype: class_label: names: '0': '808' '1': brass '2': growl '3': jump_up '4': reese '5': slap '6': sub '7': whomp - name: input_values sequence: float32 - name: attention_mask sequence: int32 splits: - name: train num_bytes: 3588435736 num_examples: 33388 - name: test num_bytes: 399348632 num_examples: 3710 download_size: 1893499877 dataset_size: 3987784368 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
yuvalkirstain/yuvalkirstain-pickapic-ft-eval-random-prompts	--- dataset_info: features: - name: prompt dtype: string - name: url dtype: string splits: - name: train num_bytes: 31392 num_examples: 200 download_size: 11259 dataset_size: 31392 --- # Dataset Card for "yuvalkirstain-pickapic-ft-eval-random-prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
rombodawg/airoboros-2.1_general_purpose	--- license: apache-2.0 --- This is the airoboros-2.1 datatset simplified amd generalized to be usable with any ai model. Original dataset bellow: - https://huggingface.co/datasets/jondurbin/airoboros-2.1
yashraizad/yelp-open-dataset-users	--- license: apache-2.0 ---
sexoeprazer/athena001	--- license: openrail ---
TheFinAI/flare-es-efpa	--- dataset_info: features: - name: 'query:' dtype: string - name: answer dtype: string - name: text dtype: string - name: choices sequence: string - name: gold dtype: int64 - name: query dtype: string splits: - name: test num_bytes: 353055 num_examples: 228 download_size: 141839 dataset_size: 353055 --- # Dataset Card for "flare-es-efpa" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_SC44__Mistral-7B-private-spnf	--- pretty_name: Evaluation run of SC44/Mistral-7B-private-spnf dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [SC44/Mistral-7B-private-spnf](https://huggingface.co/SC44/Mistral-7B-private-spnf)\ \ 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 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 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_SC44__Mistral-7B-private-spnf\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-28T06:39:45.852747](https://huggingface.co/datasets/open-llm-leaderboard/details_SC44__Mistral-7B-private-spnf/blob/main/results_2024-01-28T06-39-45.852747.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\": 0.6081076853099489,\n\ \ \"acc_stderr\": 0.03312456837122671,\n \"acc_norm\": 0.6126302396586892,\n\ \ \"acc_norm_stderr\": 0.033796266236967715,\n \"mc1\": 0.5299877600979193,\n\ \ \"mc1_stderr\": 0.01747199209169754,\n \"mc2\": 0.6834378173026425,\n\ \ \"mc2_stderr\": 0.015179197426716372\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5895904436860068,\n \"acc_stderr\": 0.014374922192642664,\n\ \ \"acc_norm\": 0.6305460750853242,\n \"acc_norm_stderr\": 0.014104578366491888\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6685919139613623,\n\ \ \"acc_stderr\": 0.004697573962169424,\n \"acc_norm\": 0.8490340569607648,\n\ \ \"acc_norm_stderr\": 0.0035728399695219935\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.618421052631579,\n \"acc_stderr\": 0.039531733777491945,\n\ \ \"acc_norm\": 0.618421052631579,\n \"acc_norm_stderr\": 0.039531733777491945\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.59,\n\ \ \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\": 0.59,\n \ \ \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n\ \ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6944444444444444,\n\ \ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n\ \ \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.51,\n \"acc_stderr\": 0.05024183937956911,\n \"acc_norm\"\ : 0.51,\n \"acc_norm_stderr\": 0.05024183937956911\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5895953757225434,\n\ \ \"acc_stderr\": 0.037507570448955356,\n \"acc_norm\": 0.5895953757225434,\n\ \ \"acc_norm_stderr\": 0.037507570448955356\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.69,\n\ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5319148936170213,\n \"acc_stderr\": 0.03261936918467382,\n\ \ \"acc_norm\": 0.5319148936170213,\n \"acc_norm_stderr\": 0.03261936918467382\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.04615186962583703,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.04615186962583703\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.6137931034482759,\n \"acc_stderr\": 0.04057324734419035,\n\ \ \"acc_norm\": 0.6137931034482759,\n \"acc_norm_stderr\": 0.04057324734419035\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137602,\n \"\ acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137602\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.42063492063492064,\n\ \ \"acc_stderr\": 0.04415438226743744,\n \"acc_norm\": 0.42063492063492064,\n\ \ \"acc_norm_stderr\": 0.04415438226743744\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.635483870967742,\n\ \ \"acc_stderr\": 0.027379871229943245,\n \"acc_norm\": 0.635483870967742,\n\ \ \"acc_norm_stderr\": 0.027379871229943245\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n\ \ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.65,\n \"acc_stderr\": 0.047937248544110196,\n \"acc_norm\"\ : 0.65,\n \"acc_norm_stderr\": 0.047937248544110196\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7393939393939394,\n \"acc_stderr\": 0.034277431758165236,\n\ \ \"acc_norm\": 0.7393939393939394,\n \"acc_norm_stderr\": 0.034277431758165236\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.030313710538198896,\n \"\ acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.030313710538198896\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8549222797927462,\n \"acc_stderr\": 0.025416343096306443,\n\ \ \"acc_norm\": 0.8549222797927462,\n \"acc_norm_stderr\": 0.025416343096306443\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5615384615384615,\n \"acc_stderr\": 0.02515826601686858,\n \ \ \"acc_norm\": 0.5615384615384615,\n \"acc_norm_stderr\": 0.02515826601686858\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3037037037037037,\n \"acc_stderr\": 0.028037929969114993,\n \ \ \"acc_norm\": 0.3037037037037037,\n \"acc_norm_stderr\": 0.028037929969114993\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6554621848739496,\n \"acc_stderr\": 0.030868682604121626,\n\ \ \"acc_norm\": 0.6554621848739496,\n \"acc_norm_stderr\": 0.030868682604121626\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7944954128440367,\n \"acc_stderr\": 0.01732435232501601,\n \"\ acc_norm\": 0.7944954128440367,\n \"acc_norm_stderr\": 0.01732435232501601\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.44907407407407407,\n \"acc_stderr\": 0.03392238405321616,\n \"\ acc_norm\": 0.44907407407407407,\n \"acc_norm_stderr\": 0.03392238405321616\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7647058823529411,\n \"acc_stderr\": 0.029771775228145624,\n \"\ acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.029771775228145624\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7552742616033755,\n \"acc_stderr\": 0.027985699387036423,\n \ \ \"acc_norm\": 0.7552742616033755,\n \"acc_norm_stderr\": 0.027985699387036423\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6188340807174888,\n\ \ \"acc_stderr\": 0.03259625118416827,\n \"acc_norm\": 0.6188340807174888,\n\ \ \"acc_norm_stderr\": 0.03259625118416827\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.732824427480916,\n \"acc_stderr\": 0.038808483010823944,\n\ \ \"acc_norm\": 0.732824427480916,\n \"acc_norm_stderr\": 0.038808483010823944\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8099173553719008,\n \"acc_stderr\": 0.03581796951709282,\n \"\ acc_norm\": 0.8099173553719008,\n \"acc_norm_stderr\": 0.03581796951709282\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.042365112580946336,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.042365112580946336\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7300613496932515,\n \"acc_stderr\": 0.034878251684978906,\n\ \ \"acc_norm\": 0.7300613496932515,\n \"acc_norm_stderr\": 0.034878251684978906\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.44642857142857145,\n\ \ \"acc_stderr\": 0.047184714852195886,\n \"acc_norm\": 0.44642857142857145,\n\ \ \"acc_norm_stderr\": 0.047184714852195886\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7378640776699029,\n \"acc_stderr\": 0.04354631077260595,\n\ \ \"acc_norm\": 0.7378640776699029,\n \"acc_norm_stderr\": 0.04354631077260595\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8589743589743589,\n\ \ \"acc_stderr\": 0.022801382534597552,\n \"acc_norm\": 0.8589743589743589,\n\ \ \"acc_norm_stderr\": 0.022801382534597552\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252609,\n \ \ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.04725815626252609\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7790549169859514,\n\ \ \"acc_stderr\": 0.014836205167333557,\n \"acc_norm\": 0.7790549169859514,\n\ \ \"acc_norm_stderr\": 0.014836205167333557\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6965317919075145,\n \"acc_stderr\": 0.024752411960917205,\n\ \ \"acc_norm\": 0.6965317919075145,\n \"acc_norm_stderr\": 0.024752411960917205\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.3206703910614525,\n\ \ \"acc_stderr\": 0.015609929559348406,\n \"acc_norm\": 0.3206703910614525,\n\ \ \"acc_norm_stderr\": 0.015609929559348406\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6797385620915033,\n \"acc_stderr\": 0.02671611838015685,\n\ \ \"acc_norm\": 0.6797385620915033,\n \"acc_norm_stderr\": 0.02671611838015685\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7009646302250804,\n\ \ \"acc_stderr\": 0.02600330111788514,\n \"acc_norm\": 0.7009646302250804,\n\ \ \"acc_norm_stderr\": 0.02600330111788514\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6975308641975309,\n \"acc_stderr\": 0.025557653981868045,\n\ \ \"acc_norm\": 0.6975308641975309,\n \"acc_norm_stderr\": 0.025557653981868045\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.45390070921985815,\n \"acc_stderr\": 0.029700453247291463,\n \ \ \"acc_norm\": 0.45390070921985815,\n \"acc_norm_stderr\": 0.029700453247291463\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4315514993481095,\n\ \ \"acc_stderr\": 0.012650007999463872,\n \"acc_norm\": 0.4315514993481095,\n\ \ \"acc_norm_stderr\": 0.012650007999463872\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6213235294117647,\n \"acc_stderr\": 0.02946513363977613,\n\ \ \"acc_norm\": 0.6213235294117647,\n \"acc_norm_stderr\": 0.02946513363977613\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6339869281045751,\n \"acc_stderr\": 0.019488025745529675,\n \ \ \"acc_norm\": 0.6339869281045751,\n \"acc_norm_stderr\": 0.019488025745529675\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7181818181818181,\n\ \ \"acc_stderr\": 0.043091187099464585,\n \"acc_norm\": 0.7181818181818181,\n\ \ \"acc_norm_stderr\": 0.043091187099464585\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.710204081632653,\n \"acc_stderr\": 0.029043088683304328,\n\ \ \"acc_norm\": 0.710204081632653,\n \"acc_norm_stderr\": 0.029043088683304328\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7512437810945274,\n\ \ \"acc_stderr\": 0.030567675938916714,\n \"acc_norm\": 0.7512437810945274,\n\ \ \"acc_norm_stderr\": 0.030567675938916714\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036625,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036625\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.4939759036144578,\n\ \ \"acc_stderr\": 0.03892212195333047,\n \"acc_norm\": 0.4939759036144578,\n\ \ \"acc_norm_stderr\": 0.03892212195333047\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\ \ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.5299877600979193,\n\ \ \"mc1_stderr\": 0.01747199209169754,\n \"mc2\": 0.6834378173026425,\n\ \ \"mc2_stderr\": 0.015179197426716372\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7742699289660616,\n \"acc_stderr\": 0.011749626260902547\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.39651250947687644,\n \ \ \"acc_stderr\": 0.013474258584033345\n }\n}\n```" repo_url: https://huggingface.co/SC44/Mistral-7B-private-spnf 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_01_28T06_36_37.050829 path: - '/details_harness\|arc:challenge\|25_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|arc:challenge\|25_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-01-28T06-39-45.852747.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|gsm8k\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|gsm8k\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hellaswag\|10_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hellaswag\|10_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-28T06-36-37.050829.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-28T06-39-45.852747.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-management\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-management\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|truthfulqa:mc\|0_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|truthfulqa:mc\|0_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-01-28T06-39-45.852747.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '/details_harness\|winogrande\|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '/details_harness\|winogrande\|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-01-28T06-39-45.852747.parquet' - config_name: results data_files: - split: 2024_01_28T06_36_37.050829 path: - results_2024-01-28T06-36-37.050829.parquet - split: 2024_01_28T06_39_45.852747 path: - results_2024-01-28T06-39-45.852747.parquet - split: latest path: - results_2024-01-28T06-39-45.852747.parquet --- # Dataset Card for Evaluation run of SC44/Mistral-7B-private-spnf <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [SC44/Mistral-7B-private-spnf](https://huggingface.co/SC44/Mistral-7B-private-spnf) 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 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 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_SC44__Mistral-7B-private-spnf", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-28T06:39:45.852747](https://huggingface.co/datasets/open-llm-leaderboard/details_SC44__Mistral-7B-private-spnf/blob/main/results_2024-01-28T06-39-45.852747.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": 0.6081076853099489, "acc_stderr": 0.03312456837122671, "acc_norm": 0.6126302396586892, "acc_norm_stderr": 0.033796266236967715, "mc1": 0.5299877600979193, "mc1_stderr": 0.01747199209169754, "mc2": 0.6834378173026425, "mc2_stderr": 0.015179197426716372 }, "harness\|arc:challenge\|25": { "acc": 0.5895904436860068, "acc_stderr": 0.014374922192642664, "acc_norm": 0.6305460750853242, "acc_norm_stderr": 0.014104578366491888 }, "harness\|hellaswag\|10": { "acc": 0.6685919139613623, "acc_stderr": 0.004697573962169424, "acc_norm": 0.8490340569607648, "acc_norm_stderr": 0.0035728399695219935 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.618421052631579, "acc_stderr": 0.039531733777491945, "acc_norm": 0.618421052631579, "acc_norm_stderr": 0.039531733777491945 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6754716981132075, "acc_stderr": 0.02881561571343211, "acc_norm": 0.6754716981132075, "acc_norm_stderr": 0.02881561571343211 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6944444444444444, "acc_stderr": 0.03852084696008534, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.03852084696008534 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5895953757225434, "acc_stderr": 0.037507570448955356, "acc_norm": 0.5895953757225434, "acc_norm_stderr": 0.037507570448955356 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5319148936170213, "acc_stderr": 0.03261936918467382, "acc_norm": 0.5319148936170213, "acc_norm_stderr": 0.03261936918467382 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.40350877192982454, "acc_stderr": 0.04615186962583703, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.04615186962583703 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.6137931034482759, "acc_stderr": 0.04057324734419035, "acc_norm": 0.6137931034482759, "acc_norm_stderr": 0.04057324734419035 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.38095238095238093, "acc_stderr": 0.025010749116137602, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.025010749116137602 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.42063492063492064, "acc_stderr": 0.04415438226743744, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.04415438226743744 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.635483870967742, "acc_stderr": 0.027379871229943245, "acc_norm": 0.635483870967742, "acc_norm_stderr": 0.027379871229943245 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5024630541871922, "acc_stderr": 0.035179450386910616, "acc_norm": 0.5024630541871922, "acc_norm_stderr": 0.035179450386910616 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.65, "acc_stderr": 0.047937248544110196, "acc_norm": 0.65, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7393939393939394, "acc_stderr": 0.034277431758165236, "acc_norm": 0.7393939393939394, "acc_norm_stderr": 0.034277431758165236 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7626262626262627, "acc_stderr": 0.030313710538198896, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.030313710538198896 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8549222797927462, "acc_stderr": 0.025416343096306443, "acc_norm": 0.8549222797927462, "acc_norm_stderr": 0.025416343096306443 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5615384615384615, "acc_stderr": 0.02515826601686858, "acc_norm": 0.5615384615384615, "acc_norm_stderr": 0.02515826601686858 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3037037037037037, "acc_stderr": 0.028037929969114993, "acc_norm": 0.3037037037037037, "acc_norm_stderr": 0.028037929969114993 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6554621848739496, "acc_stderr": 0.030868682604121626, "acc_norm": 0.6554621848739496, "acc_norm_stderr": 0.030868682604121626 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7944954128440367, "acc_stderr": 0.01732435232501601, "acc_norm": 0.7944954128440367, "acc_norm_stderr": 0.01732435232501601 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.44907407407407407, "acc_stderr": 0.03392238405321616, "acc_norm": 0.44907407407407407, "acc_norm_stderr": 0.03392238405321616 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7647058823529411, "acc_stderr": 0.029771775228145624, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.029771775228145624 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7552742616033755, "acc_stderr": 0.027985699387036423, "acc_norm": 0.7552742616033755, "acc_norm_stderr": 0.027985699387036423 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6188340807174888, "acc_stderr": 0.03259625118416827, "acc_norm": 0.6188340807174888, "acc_norm_stderr": 0.03259625118416827 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.732824427480916, "acc_stderr": 0.038808483010823944, "acc_norm": 0.732824427480916, "acc_norm_stderr": 0.038808483010823944 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8099173553719008, "acc_stderr": 0.03581796951709282, "acc_norm": 0.8099173553719008, "acc_norm_stderr": 0.03581796951709282 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7407407407407407, "acc_stderr": 0.042365112580946336, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.042365112580946336 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7300613496932515, "acc_stderr": 0.034878251684978906, "acc_norm": 0.7300613496932515, "acc_norm_stderr": 0.034878251684978906 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.44642857142857145, "acc_stderr": 0.047184714852195886, "acc_norm": 0.44642857142857145, "acc_norm_stderr": 0.047184714852195886 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7378640776699029, "acc_stderr": 0.04354631077260595, "acc_norm": 0.7378640776699029, "acc_norm_stderr": 0.04354631077260595 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8589743589743589, "acc_stderr": 0.022801382534597552, "acc_norm": 0.8589743589743589, "acc_norm_stderr": 0.022801382534597552 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.67, "acc_stderr": 0.04725815626252609, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252609 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7790549169859514, "acc_stderr": 0.014836205167333557, "acc_norm": 0.7790549169859514, "acc_norm_stderr": 0.014836205167333557 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6965317919075145, "acc_stderr": 0.024752411960917205, "acc_norm": 0.6965317919075145, "acc_norm_stderr": 0.024752411960917205 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.3206703910614525, "acc_stderr": 0.015609929559348406, "acc_norm": 0.3206703910614525, "acc_norm_stderr": 0.015609929559348406 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6797385620915033, "acc_stderr": 0.02671611838015685, "acc_norm": 0.6797385620915033, "acc_norm_stderr": 0.02671611838015685 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7009646302250804, "acc_stderr": 0.02600330111788514, "acc_norm": 0.7009646302250804, "acc_norm_stderr": 0.02600330111788514 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6975308641975309, "acc_stderr": 0.025557653981868045, "acc_norm": 0.6975308641975309, "acc_norm_stderr": 0.025557653981868045 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.45390070921985815, "acc_stderr": 0.029700453247291463, "acc_norm": 0.45390070921985815, "acc_norm_stderr": 0.029700453247291463 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4315514993481095, "acc_stderr": 0.012650007999463872, "acc_norm": 0.4315514993481095, "acc_norm_stderr": 0.012650007999463872 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6213235294117647, "acc_stderr": 0.02946513363977613, "acc_norm": 0.6213235294117647, "acc_norm_stderr": 0.02946513363977613 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6339869281045751, "acc_stderr": 0.019488025745529675, "acc_norm": 0.6339869281045751, "acc_norm_stderr": 0.019488025745529675 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7181818181818181, "acc_stderr": 0.043091187099464585, "acc_norm": 0.7181818181818181, "acc_norm_stderr": 0.043091187099464585 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.710204081632653, "acc_stderr": 0.029043088683304328, "acc_norm": 0.710204081632653, "acc_norm_stderr": 0.029043088683304328 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7512437810945274, "acc_stderr": 0.030567675938916714, "acc_norm": 0.7512437810945274, "acc_norm_stderr": 0.030567675938916714 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.81, "acc_stderr": 0.03942772444036625, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036625 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.4939759036144578, "acc_stderr": 0.03892212195333047, "acc_norm": 0.4939759036144578, "acc_norm_stderr": 0.03892212195333047 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8362573099415205, "acc_stderr": 0.028380919596145866, "acc_norm": 0.8362573099415205, "acc_norm_stderr": 0.028380919596145866 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.5299877600979193, "mc1_stderr": 0.01747199209169754, "mc2": 0.6834378173026425, "mc2_stderr": 0.015179197426716372 }, "harness\|winogrande\|5": { "acc": 0.7742699289660616, "acc_stderr": 0.011749626260902547 }, "harness\|gsm8k\|5": { "acc": 0.39651250947687644, "acc_stderr": 0.013474258584033345 } } ``` ## 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 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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 systems who originally created the data. 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.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. 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]
mirfan899/jalandhary_asr	--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: text dtype: string splits: - name: train num_bytes: 2710979825.076 num_examples: 10287 download_size: 2711170960 dataset_size: 2710979825.076 configs: - config_name: default data_files: - split: train path: data/train-* ---
lexklima/locbp	--- license: creativeml-openrail-m ---
cheafdevo56/influential_citations_triplets	--- dataset_info: features: - name: query struct: - name: abstract dtype: string - name: corpus_id dtype: int64 - name: title dtype: string - name: pos struct: - name: abstract dtype: string - name: corpus_id dtype: int64 - name: title dtype: string - name: neg struct: - name: abstract dtype: string - name: corpus_id dtype: int64 - name: score dtype: int64 - name: title dtype: string splits: - name: train num_bytes: 76694722 num_examples: 20141 download_size: 45629285 dataset_size: 76694722 configs: - config_name: default data_files: - split: train path: data/train-* ---
Lickilis/Likilis	--- license: openrail ---
DBQ/Louis.Vuitton.Product.prices.France	--- annotations_creators: - other language_creators: - other language: - en license: - unknown multilinguality: - monolingual source_datasets: - original task_categories: - text-classification - image-classification - feature-extraction - image-segmentation - image-to-image - image-to-text - object-detection - summarization - zero-shot-image-classification pretty_name: France - Louis Vuitton - Product-level price list tags: - webscraping - ecommerce - Louis Vuitton - fashion - fashion product - image - fashion image configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: website_name dtype: string - name: competence_date dtype: string - name: country_code dtype: string - name: currency_code dtype: string - name: brand dtype: string - name: category1_code dtype: string - name: category2_code dtype: string - name: category3_code dtype: string - name: product_code dtype: string - name: title dtype: string - name: itemurl dtype: string - name: imageurl dtype: string - name: full_price dtype: float64 - name: price dtype: float64 - name: full_price_eur dtype: float64 - name: price_eur dtype: float64 - name: flg_discount dtype: int64 splits: - name: train num_bytes: 3471507 num_examples: 7806 download_size: 915905 dataset_size: 3471507 --- # Louis Vuitton web scraped data ## About the website The Luxury Fashion industry in the EMEA region, specifically in France, is a competitive and dynamic sector representing some of the most prestigious names in fashion. Louis Vuitton, a prominent player, is renowned for its high-end products, setting the tone for luxury retail within and beyond France. The recent rise in digital transformation has intensified the focus on Ecommerce within this industry. The dataset in review contains Ecommerce product-list page (PLP) data on Louis Vuitton in France. This data provides valuable insights into consumer behaviour, purchasing patterns, product preferences, and overall performance metrics of Louis Vuittons online retail. ## Link to dataset [France - Louis Vuitton - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Louis%20Vuitton%20Product-prices%20France/r/recuJmM9pHnEywNtQ)
rw-r-r-0644/assignment-2	--- license: cc-by-2.0 task_categories: - fill-mask - text-classification - text2text-generation language: - en size_categories: - 10K<n<100K configs: - config_name: default data_files: - split: train path: "train.jsonl" - split: validation path: "validation.jsonl" - split: test path: "test.jsonl" --- # assignment-2 Dataset for the second assignment of the Deep Learning course at my university. The dataset appears to be based on the [WinoGrande](https://winogrande.allenai.org) train_xl set (for the original training.jsonl) and dev/validation set (for test.jsonl). The provided training set has been randomly split into training (85%) and validation (15%) sets. ### Citation Information ``` @InProceedings{ai2:winogrande, title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale}, authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi }, year={2019} } ``` ### Credits Credits to allenai and the authors of the WinoGrande dataset. The original dataset repository can be found on [github](https://github.com/allenai/winogrande).
Flyfer/testDataset	--- license: apache-2.0 ---
marcus2000/Names2chinese	--- dataset_info: features: - name: English_name dtype: string - name: Chinese_name dtype: string splits: - name: train num_bytes: 15768 num_examples: 723 - name: test num_bytes: 1409 num_examples: 63 download_size: 15737 dataset_size: 17177 --- # Dataset Card for "Names2chinese" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
zolak/twitter_dataset_50_1713132027	--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 240189 num_examples: 597 download_size: 129747 dataset_size: 240189 configs: - config_name: default data_files: - split: train path: data/train-* ---
desertfox/hsereg2022	--- license: afl-3.0 ---
pharaouk/stack-v2-python-chunk3	--- dataset_info: features: - name: repo_name dtype: string - name: repo_url dtype: string - name: snapshot_id dtype: string - name: revision_id dtype: string - name: directory_id dtype: string - name: branch_name dtype: string - name: visit_date dtype: timestamp[ns] - name: revision_date dtype: timestamp[ns] - name: committer_date dtype: timestamp[ns] - name: github_id dtype: int64 - name: star_events_count dtype: int64 - name: fork_events_count dtype: int64 - name: gha_license_id dtype: string - name: gha_created_at dtype: timestamp[ns] - name: gha_updated_at dtype: timestamp[ns] - name: gha_pushed_at dtype: timestamp[ns] - name: gha_language dtype: string - name: files list: - name: blob_id dtype: string - name: path dtype: string - name: content_id dtype: string - name: language dtype: string - name: length_bytes dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: src_encoding dtype: string - name: is_vendor dtype: bool - name: is_generated dtype: bool - name: alphanum_fraction dtype: float32 - name: alpha_fraction dtype: float32 - name: num_lines dtype: int32 - name: avg_line_length dtype: float32 - name: max_line_length dtype: int32 - name: num_files dtype: int64 splits: - name: train num_bytes: 7897866927 num_examples: 2984967 download_size: 5062103145 dataset_size: 7897866927 configs: - config_name: default data_files: - split: train path: data/train-* ---
TUKE-DeutscheTelekom/skquad	--- annotations_creators: - crowdsourced language: - sk language_creators: - crowdsourced - found license: - cc-by-sa-4.0 - cc-by-4.0 multilinguality: - monolingual paperswithcode_id: squad pretty_name: skquad size_categories: - 10K<n<100K source_datasets: - original tags: - wikipedia task_categories: - question-answering - text-retrieval task_ids: - open-domain-qa - extractive-qa - document-retrieval train-eval-index: - col_mapping: answers: answer_start: answer_start text: text context: context question: question config: squad_v2 metrics: - name: SQuAD v2 type: squad_v2 splits: eval_split: validation train_split: train task: question-answering task_id: extractive_question_answering --- # Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary SK-QuAD is the first QA dataset for the Slovak language. It is manually annotated, so it has no distortion caused by machine translation. The dataset is thematically diverse – it does not overlap with SQuAD – it brings new knowledge. It passed the second round of annotation – each question and the answer were seen by at least two annotators. ### Supported Tasks and Leaderboards - Question answering - Document retrieval ### Languages - Slovak ## Dataset Structure #### squad_v2 - Size of downloaded dataset files: 44.34 MB - Size of the generated dataset: 122.57 MB - Total amount of disk used: 166.91 MB - An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "answers": { "answer_start": [94, 87, 94, 94], "text": ["10th and 11th centuries", "in the 10th and 11th centuries", "10th and 11th centuries", "10th and 11th centuries"] }, "context": "\"The Normans (Norman: Nourmands; French: Normands; Latin: Normanni) were the people who in the 10th and 11th centuries gave thei...", "id": "56ddde6b9a695914005b9629", "question": "When were the Normans in Normandy?", "title": "Normans" } ``` ### Data Fields The data fields are the same among all splits. #### squad_v2 - `id`: a `string` feature. - `title`: a `string` feature. - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int32` feature. ### Data Splits \| \| Train \| Dev \| Translated \| \| ------------- \| -----: \| -----: \| -------: \| \| Documents \| 8,377 \| 940 \| 442 \| \| Paragraphs \| 22,062 \| 2,568 \| 18,931 \| \| Questions \| 81,582 \| 9,583 \| 120,239 \| \| Answers \| 65,839 \| 7,822 \| 79,978 \| \| Unanswerable \| 15,877 \| 1,784 \| 40,261 \| ## 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 - Deutsche Telekom Systems Solutions Slovakia - Technical Univesity of Košice ### Licensing Information Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ### Citation Information [More Information Needed] ### Contributions Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
FreedomIntelligence/MMLU_Portuguese	--- license: mit language: - pt --- Portuguese version of MMLU dataset tranlasted by gpt-3.5-turbo. The dataset is used in the research related to [MultilingualSIFT](https://github.com/FreedomIntelligence/MultilingualSIFT).
mickylan2367/ZipfilePractice	--- license: cc-by-sa-4.0 language: - en tags: - music - spectrogram - text - text2music size_categories: - 1K<n<10K --- # Google/MusicCapsの音楽をスペクトログラムにしたデータセット * 内容は<a href="https://huggingface.co/datasets/mickylan2367/GraySpectrogram">mickylan2367/GraySpectrogram</a>と同じです。 * ただ、このデータセットはデータ自体をzipファイルで作ったので、GraySpectrogramよりも（ちょっとだけ）ダウンロードが早いです。 ## 基本情報 * sampling_rate: int = 44100 * 20秒のwavファイル -> 1600×800のpngファイルへ変換 * librosaの規格により、画像の縦軸：(0-10000?Hz), 画像の横軸：(0-40秒)
Sharathhebbar24/MetaMathQA	--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 314797881 num_examples: 390062 download_size: 131558400 dataset_size: 314797881 configs: - config_name: default data_files: - split: train path: data/train-* license: apache-2.0 task_categories: - text-generation language: - en tags: - math size_categories: - 10K<n<100K --- # Meta Math Filtered This is a combined and filtered (removed all the redundant rows) version of [meta-math/MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA) and [meta-math/MetaMathQA-40K](https://huggingface.co/datasets/meta-math/MetaMathQA-40K) ## Usage ```python from datasets import load_dataset dataset = load_dataset("Sharathhebbar24/MetaMathQA", split="train") ```
huggingartists/arctic-monkeys	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/arctic-monkeys" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.246691 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/12c27f4fbb06ef32dc1c1e432098f447.570x570x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/arctic-monkeys"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Arctic Monkeys</div> <a href="https://genius.com/artists/arctic-monkeys"> <div style="text-align: center; font-size: 14px;">@arctic-monkeys</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/arctic-monkeys). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/arctic-monkeys") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|186\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/arctic-monkeys") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. 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georgesuper/houseDataset	--- license: apache-2.0 ---
mole-code/dev.langchain4j-data	--- dataset_info: features: - name: code dtype: string - name: apis sequence: string - name: extract_api dtype: string splits: - name: train num_bytes: 1814444 num_examples: 329 download_size: 483919 dataset_size: 1814444 configs: - config_name: default data_files: - split: train path: data/train-* ---
jondurbin/rosettacode-raw	--- license: gfdl ---
kristmh/low_vs_random	--- configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validate path: data/validate-* dataset_info: features: - name: text_clean dtype: string - name: labels dtype: int64 - name: class dtype: string - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 19739399 num_examples: 24512 - name: train num_bytes: 158958252 num_examples: 196090 - name: validate num_bytes: 19103258 num_examples: 24511 download_size: 97810741 dataset_size: 197800909 --- # Dataset Card for "low_vs_random" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
laamaai/ele-int	--- dataset_info: features: - name: ELE dtype: string - name: INT dtype: string splits: - name: train num_bytes: 332689.5077658303 num_examples: 1339 - name: test num_bytes: 83234.49223416965 num_examples: 335 download_size: 292949 dataset_size: 415924.0 --- # Dataset Card for "ele-int" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Harsh-7300/datagrade	--- license: mit ---
memray/AugTriever-AugQ-CC	--- license: mit --- AugQ-CC is an unsupervised augmented dataset for training retrievers used in `AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation`. It consists of 52.4M pseudo query-document pairs based on [Pile-CommonCrawl](https://pile.eleuther.ai/paper.pdf). ``` @article{meng2022augtriever, title={AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation}, author={Meng, Rui and Liu, Ye and Yavuz, Semih and Agarwal, Divyansh and Tu, Lifu and Yu, Ning and Zhang, Jianguo and Bhat, Meghana and Zhou, Yingbo}, journal={arXiv preprint arXiv:2212.08841}, year={2022} } ```
mlxen/squad_1_1_contrastdata_training	--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: train num_bytes: 79340259 num_examples: 87599 download_size: 0 dataset_size: 79340259 --- # Dataset Card for "squad_1_1_contrastdata_training" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Nexdata/Chinese_Mandarin_Synthesis_Corpus-Male_Customer_Service	--- YAML tags: - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging --- # Dataset Card for Nexdata/Chinese_Mandarin_Synthesis_Corpus-Male_Customer_Service ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: https://www.nexdata.ai/datasets/1099?source=Huggingface - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary 20 Hours - Chinese Mandarin Synthesis Corpus-Male, Customer Service. It is recorded by Chinese native speakers, the voice of the full of magnetism. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis. For more details, please refer to the link: https://www.nexdata.ai/datasets/1099?source=Huggingface ### Supported Tasks and Leaderboards tts: The dataset can be used to train a model for Text to Speech (TTS). ### Languages Chinese Mandarin ## 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 Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing ### Citation Information [More Information Needed] ### Contributions
open-llm-leaderboard/details_liminerity__Multiverse-Experiment-slerp-7b	--- pretty_name: Evaluation run of liminerity/Multiverse-Experiment-slerp-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [liminerity/Multiverse-Experiment-slerp-7b](https://huggingface.co/liminerity/Multiverse-Experiment-slerp-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_liminerity__Multiverse-Experiment-slerp-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-09T12:02:01.054194](https://huggingface.co/datasets/open-llm-leaderboard/details_liminerity__Multiverse-Experiment-slerp-7b/blob/main/results_2024-03-09T12-02-01.054194.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\": 0.6518510677976063,\n\ \ \"acc_stderr\": 0.03203683002461246,\n \"acc_norm\": 0.6505703294705394,\n\ \ \"acc_norm_stderr\": 0.03271494006314174,\n \"mc1\": 0.631578947368421,\n\ \ \"mc1_stderr\": 0.016886551261046046,\n \"mc2\": 0.7792924999444771,\n\ \ \"mc2_stderr\": 0.013713064522592473\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.7167235494880546,\n \"acc_stderr\": 0.013167478735134575,\n\ \ \"acc_norm\": 0.7286689419795221,\n \"acc_norm_stderr\": 0.012993807727545796\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.7177853017327226,\n\ \ \"acc_stderr\": 0.0044915745394418834,\n \"acc_norm\": 0.8914558852818164,\n\ \ \"acc_norm_stderr\": 0.003104306434972473\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.6370370370370371,\n\ \ \"acc_stderr\": 0.04153948404742398,\n \"acc_norm\": 0.6370370370370371,\n\ \ \"acc_norm_stderr\": 0.04153948404742398\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.7105263157894737,\n \"acc_stderr\": 0.03690677986137283,\n\ \ \"acc_norm\": 0.7105263157894737,\n \"acc_norm_stderr\": 0.03690677986137283\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\": 0.7018867924528301,\n \"acc_stderr\": 0.028152837942493864,\n\ \ \"acc_norm\": 0.7018867924528301,\n \"acc_norm_stderr\": 0.028152837942493864\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956911,\n \ \ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956911\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.57,\n\ \ \"acc_norm_stderr\": 0.04975698519562428\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\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247077,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247077\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\":\ \ 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.04292346959909283\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.574468085106383,\n \"acc_stderr\": 0.03232146916224468,\n\ \ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.03232146916224468\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.49122807017543857,\n\ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.04154659671707548,\n\ \ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.04154659671707548\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4126984126984127,\n \"acc_stderr\": 0.025355741263055273,\n \"\ acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.025355741263055273\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7838709677419354,\n\ \ \"acc_stderr\": 0.02341529343356853,\n \"acc_norm\": 0.7838709677419354,\n\ \ \"acc_norm_stderr\": 0.02341529343356853\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n\ \ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\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\": 0.7696969696969697,\n \"acc_stderr\": 0.03287666758603491,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.03287666758603491\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.797979797979798,\n \"acc_stderr\": 0.02860620428922987,\n \"acc_norm\"\ : 0.797979797979798,\n \"acc_norm_stderr\": 0.02860620428922987\n },\n\ \ \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n \ \ \"acc\": 0.9119170984455959,\n \"acc_stderr\": 0.02045374660160103,\n\ \ \"acc_norm\": 0.9119170984455959,\n \"acc_norm_stderr\": 0.02045374660160103\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.023991500500313036,\n\ \ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.023991500500313036\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.31851851851851853,\n \"acc_stderr\": 0.02840653309060846,\n \ \ \"acc_norm\": 0.31851851851851853,\n \"acc_norm_stderr\": 0.02840653309060846\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6722689075630253,\n \"acc_stderr\": 0.03048991141767323,\n \ \ \"acc_norm\": 0.6722689075630253,\n \"acc_norm_stderr\": 0.03048991141767323\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3708609271523179,\n \"acc_stderr\": 0.03943966699183629,\n \"\ acc_norm\": 0.3708609271523179,\n \"acc_norm_stderr\": 0.03943966699183629\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5185185185185185,\n \"acc_stderr\": 0.03407632093854051,\n \"\ acc_norm\": 0.5185185185185185,\n \"acc_norm_stderr\": 0.03407632093854051\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8529411764705882,\n \"acc_stderr\": 0.024857478080250447,\n \"\ acc_norm\": 0.8529411764705882,\n \"acc_norm_stderr\": 0.024857478080250447\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8143459915611815,\n \"acc_stderr\": 0.025310495376944856,\n \ \ \"acc_norm\": 0.8143459915611815,\n \"acc_norm_stderr\": 0.025310495376944856\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.034981493854624714,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.034981493854624714\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\"\ : 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\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\": 0.7791411042944786,\n \"acc_stderr\": 0.03259177392742178,\n\ \ \"acc_norm\": 0.7791411042944786,\n \"acc_norm_stderr\": 0.03259177392742178\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\ \ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406964,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406964\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.822477650063857,\n\ \ \"acc_stderr\": 0.013664230995834841,\n \"acc_norm\": 0.822477650063857,\n\ \ \"acc_norm_stderr\": 0.013664230995834841\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7283236994219653,\n \"acc_stderr\": 0.02394851290546836,\n\ \ \"acc_norm\": 0.7283236994219653,\n \"acc_norm_stderr\": 0.02394851290546836\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.42681564245810055,\n\ \ \"acc_stderr\": 0.016542401954631917,\n \"acc_norm\": 0.42681564245810055,\n\ \ \"acc_norm_stderr\": 0.016542401954631917\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7254901960784313,\n \"acc_stderr\": 0.025553169991826524,\n\ \ \"acc_norm\": 0.7254901960784313,\n \"acc_norm_stderr\": 0.025553169991826524\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818763,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818763\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7376543209876543,\n \"acc_stderr\": 0.024477222856135114,\n\ \ \"acc_norm\": 0.7376543209876543,\n \"acc_norm_stderr\": 0.024477222856135114\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\": 0.4765319426336376,\n\ \ \"acc_stderr\": 0.012756161942523369,\n \"acc_norm\": 0.4765319426336376,\n\ \ \"acc_norm_stderr\": 0.012756161942523369\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6801470588235294,\n \"acc_stderr\": 0.02833295951403121,\n\ \ \"acc_norm\": 0.6801470588235294,\n \"acc_norm_stderr\": 0.02833295951403121\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6781045751633987,\n \"acc_stderr\": 0.018901015322093092,\n \ \ \"acc_norm\": 0.6781045751633987,\n \"acc_norm_stderr\": 0.018901015322093092\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\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784596,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784596\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.026193923544454125,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.026193923544454125\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5542168674698795,\n\ \ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\ \ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\ \ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.631578947368421,\n\ \ \"mc1_stderr\": 0.016886551261046046,\n \"mc2\": 0.7792924999444771,\n\ \ \"mc2_stderr\": 0.013713064522592473\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8476716653512234,\n \"acc_stderr\": 0.010099208246065604\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.7172100075815011,\n \ \ \"acc_stderr\": 0.012405020417873619\n }\n}\n```" repo_url: https://huggingface.co/liminerity/Multiverse-Experiment-slerp-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_09T12_02_01.054194 path: - '/details_harness\|arc:challenge\|25_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-09T12-02-01.054194.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|gsm8k\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hellaswag\|10_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-09T12-02-01.054194.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-09T12-02-01.054194.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '/details_harness\|winogrande\|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-09T12-02-01.054194.parquet' - config_name: results data_files: - split: 2024_03_09T12_02_01.054194 path: - results_2024-03-09T12-02-01.054194.parquet - split: latest path: - results_2024-03-09T12-02-01.054194.parquet --- # Dataset Card for Evaluation run of liminerity/Multiverse-Experiment-slerp-7b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [liminerity/Multiverse-Experiment-slerp-7b](https://huggingface.co/liminerity/Multiverse-Experiment-slerp-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_liminerity__Multiverse-Experiment-slerp-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-09T12:02:01.054194](https://huggingface.co/datasets/open-llm-leaderboard/details_liminerity__Multiverse-Experiment-slerp-7b/blob/main/results_2024-03-09T12-02-01.054194.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": 0.6518510677976063, "acc_stderr": 0.03203683002461246, "acc_norm": 0.6505703294705394, "acc_norm_stderr": 0.03271494006314174, "mc1": 0.631578947368421, "mc1_stderr": 0.016886551261046046, "mc2": 0.7792924999444771, "mc2_stderr": 0.013713064522592473 }, "harness\|arc:challenge\|25": { "acc": 0.7167235494880546, "acc_stderr": 0.013167478735134575, "acc_norm": 0.7286689419795221, "acc_norm_stderr": 0.012993807727545796 }, "harness\|hellaswag\|10": { "acc": 0.7177853017327226, "acc_stderr": 0.0044915745394418834, "acc_norm": 0.8914558852818164, "acc_norm_stderr": 0.003104306434972473 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6370370370370371, "acc_stderr": 0.04153948404742398, "acc_norm": 0.6370370370370371, "acc_norm_stderr": 0.04153948404742398 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.7105263157894737, "acc_stderr": 0.03690677986137283, "acc_norm": 0.7105263157894737, "acc_norm_stderr": 0.03690677986137283 }, "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": 0.7018867924528301, "acc_stderr": 0.028152837942493864, "acc_norm": 0.7018867924528301, "acc_norm_stderr": 0.028152837942493864 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.49, "acc_stderr": 0.05024183937956911, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956911 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "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": 0.6647398843930635, "acc_stderr": 0.03599586301247077, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247077 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.574468085106383, "acc_stderr": 0.03232146916224468, "acc_norm": 0.574468085106383, "acc_norm_stderr": 0.03232146916224468 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.49122807017543857, "acc_stderr": 0.04702880432049615, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.04702880432049615 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5379310344827586, "acc_stderr": 0.04154659671707548, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.04154659671707548 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4126984126984127, "acc_stderr": 0.025355741263055273, "acc_norm": 0.4126984126984127, "acc_norm_stderr": 0.025355741263055273 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7838709677419354, "acc_stderr": 0.02341529343356853, "acc_norm": 0.7838709677419354, "acc_norm_stderr": 0.02341529343356853 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5172413793103449, "acc_stderr": 0.035158955511656986, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.035158955511656986 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7696969696969697, "acc_stderr": 0.03287666758603491, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.03287666758603491 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.797979797979798, "acc_stderr": 0.02860620428922987, "acc_norm": 0.797979797979798, "acc_norm_stderr": 0.02860620428922987 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9119170984455959, "acc_stderr": 0.02045374660160103, "acc_norm": 0.9119170984455959, "acc_norm_stderr": 0.02045374660160103 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6615384615384615, "acc_stderr": 0.023991500500313036, "acc_norm": 0.6615384615384615, "acc_norm_stderr": 0.023991500500313036 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.31851851851851853, "acc_stderr": 0.02840653309060846, "acc_norm": 0.31851851851851853, "acc_norm_stderr": 0.02840653309060846 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6722689075630253, "acc_stderr": 0.03048991141767323, "acc_norm": 0.6722689075630253, "acc_norm_stderr": 0.03048991141767323 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3708609271523179, "acc_stderr": 0.03943966699183629, "acc_norm": 0.3708609271523179, "acc_norm_stderr": 0.03943966699183629 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8458715596330275, "acc_stderr": 0.015480826865374303, "acc_norm": 0.8458715596330275, "acc_norm_stderr": 0.015480826865374303 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5185185185185185, "acc_stderr": 0.03407632093854051, "acc_norm": 0.5185185185185185, "acc_norm_stderr": 0.03407632093854051 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8529411764705882, "acc_stderr": 0.024857478080250447, "acc_norm": 0.8529411764705882, "acc_norm_stderr": 0.024857478080250447 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8143459915611815, "acc_stderr": 0.025310495376944856, "acc_norm": 0.8143459915611815, "acc_norm_stderr": 0.025310495376944856 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8015267175572519, "acc_stderr": 0.034981493854624714, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.034981493854624714 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.768595041322314, "acc_stderr": 0.03849856098794088, "acc_norm": 0.768595041322314, "acc_norm_stderr": 0.03849856098794088 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.75, "acc_stderr": 0.04186091791394607, "acc_norm": 0.75, "acc_norm_stderr": 0.04186091791394607 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7791411042944786, "acc_stderr": 0.03259177392742178, "acc_norm": 0.7791411042944786, "acc_norm_stderr": 0.03259177392742178 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04697113923010212, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04697113923010212 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7669902912621359, "acc_stderr": 0.04185832598928315, "acc_norm": 0.7669902912621359, "acc_norm_stderr": 0.04185832598928315 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8803418803418803, "acc_stderr": 0.021262719400406964, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.021262719400406964 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.822477650063857, "acc_stderr": 0.013664230995834841, "acc_norm": 0.822477650063857, "acc_norm_stderr": 0.013664230995834841 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7283236994219653, "acc_stderr": 0.02394851290546836, "acc_norm": 0.7283236994219653, "acc_norm_stderr": 0.02394851290546836 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.42681564245810055, "acc_stderr": 0.016542401954631917, "acc_norm": 0.42681564245810055, "acc_norm_stderr": 0.016542401954631917 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7254901960784313, "acc_stderr": 0.025553169991826524, "acc_norm": 0.7254901960784313, "acc_norm_stderr": 0.025553169991826524 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818763, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818763 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7376543209876543, "acc_stderr": 0.024477222856135114, "acc_norm": 0.7376543209876543, "acc_norm_stderr": 0.024477222856135114 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4858156028368794, "acc_stderr": 0.02981549448368206, "acc_norm": 0.4858156028368794, "acc_norm_stderr": 0.02981549448368206 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4765319426336376, "acc_stderr": 0.012756161942523369, "acc_norm": 0.4765319426336376, "acc_norm_stderr": 0.012756161942523369 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6801470588235294, "acc_stderr": 0.02833295951403121, "acc_norm": 0.6801470588235294, "acc_norm_stderr": 0.02833295951403121 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6781045751633987, "acc_stderr": 0.018901015322093092, "acc_norm": 0.6781045751633987, "acc_norm_stderr": 0.018901015322093092 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6727272727272727, "acc_stderr": 0.0449429086625209, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.0449429086625209 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7346938775510204, "acc_stderr": 0.028263889943784596, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.028263889943784596 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.835820895522388, "acc_stderr": 0.026193923544454125, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.026193923544454125 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5542168674698795, "acc_stderr": 0.03869543323472101, "acc_norm": 0.5542168674698795, "acc_norm_stderr": 0.03869543323472101 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8362573099415205, "acc_stderr": 0.028380919596145866, "acc_norm": 0.8362573099415205, "acc_norm_stderr": 0.028380919596145866 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.631578947368421, "mc1_stderr": 0.016886551261046046, "mc2": 0.7792924999444771, "mc2_stderr": 0.013713064522592473 }, "harness\|winogrande\|5": { "acc": 0.8476716653512234, "acc_stderr": 0.010099208246065604 }, "harness\|gsm8k\|5": { "acc": 0.7172100075815011, "acc_stderr": 0.012405020417873619 } } ``` ## 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 systems who originally created the data. 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.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. 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]
toshi456/Gemma-Alpaca-Data-13k	--- license: apache-2.0 task_categories: - question-answering language: - en size_categories: - 10K<n<100K --- # Dataset Card for "Gemma-Alpaca-Data-13k" ## Dataset Detail Dataset Type: Gemma-Alpaca-Data-13k is generated automatically using [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) with reference to the data generation method in [Stanford Alpaca](https://crfm.stanford.edu/2023/03/13/alpaca.html). Resources for More Information: Preparing License: [Apache license 2.0](https://www.apache.org/licenses/LICENSE-2.0) Questions or Comments: ## Acknowledgement - [Stanford Alpaca](https://crfm.stanford.edu/2023/03/13/alpaca.html) - [Gemma](https://ai.google.dev/gemma/docs?hl=en)
Affaan/CustomOpenOrca	--- language: - en 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: 1791415 num_examples: 1000 download_size: 1023995 dataset_size: 1791415 configs: - config_name: default data_files: - split: train path: data/train-* ---
gagan3012/oasis	--- dataset_info: features: - name: prompt dtype: string - name: prompt_id dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 6962220398 num_examples: 2344376 download_size: 3410521074 dataset_size: 6962220398 configs: - config_name: default data_files: - split: train path: data/train-* ---
mask-distilled-onesec-cv12-each-chunk-uniq/chunk_225	--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1123778940.0 num_examples: 220695 download_size: 1148347695 dataset_size: 1123778940.0 --- # Dataset Card for "chunk_225" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
virtualvoidsteve/virtualvoidsteve	--- dataset_info: features: - name: corrupted dtype: string - name: corrected dtype: string splits: - name: train num_bytes: 58027 num_examples: 57 download_size: 17480 dataset_size: 58027 configs: - config_name: default data_files: - split: train path: data/train-* ---
ThiagoKRHS/ricardojuarez	--- license: openrail ---
TrainingDataPro/botox-injections-before-and-after	--- language: - en license: cc-by-nc-nd-4.0 task_categories: - image-classification - image-to-image tags: - medical - code dataset_info: features: - name: id dtype: int32 - name: before dtype: image - name: after dtype: image splits: - name: train num_bytes: 38806781 num_examples: 23 download_size: 38824211 dataset_size: 38806781 --- # Botox Injections (Before & After) The dataset consists of photos featuring the same individuals captured before and after botox injections procedure. The dataset contains a diverse range of individuals with various ages, ethnicities and genders. The dataset is useful for evaluation of the effectiveness of botox injections for different skin and face types, face recognition and reidentification tasks. It can be utilised for biometric tasks , in beauty sphere, for medical purposes and e-commerce. ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff4e4aa816bc874020b913bbc3cabfe16%2F96.png?generation=1693400980674716&alt=media) # Get the dataset ### This is just an example of the data Leave a request on [https://trainingdata.pro/data-market](https://trainingdata.pro/data-market/botox-injections-before-after?utm_source=huggingface&utm_medium=cpc&utm_campaign=botox-injections-before-and-after) to discuss your requirements, learn about the price and buy the dataset. # Content - before: includes images of people before botox injections - after: includes images of people after botox injections. People are the same as in the previous folder, photos are identified by the same name - .csv file: contains information about the dataset ### File with the extension .csv includes the following information for each set of media files: - person: id of the person, - before: link to the photo before the injection, - after: link to the photo after the injection # Images of people with botox injections might be collected in accordance with your requirements. ## [TrainingData](https://trainingdata.pro/data-market/botox-injections-before-after?utm_source=huggingface&utm_medium=cpc&utm_campaign=botox-injections-before-and-after) provides high-quality data annotation tailored to your needs More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
sriramahesh2000/DocumentCreation	--- license: apache-2.0 ---
diwank/IBMDebaterArgQ	--- dataset_info: features: - name: label dtype: string - name: a1 dtype: string - name: a2 dtype: string - name: sentence dtype: string splits: - name: train num_bytes: 7817605 num_examples: 23128 download_size: 1591082 dataset_size: 7817605 --- # Dataset Card for "IBMDebaterArgQ" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_Xwin-LM__Xwin-LM-7B-V0.1	--- pretty_name: Evaluation run of Xwin-LM/Xwin-LM-7B-V0.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Xwin-LM/Xwin-LM-7B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1) 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_Xwin-LM__Xwin-LM-7B-V0.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-29T08:21:17.529053](https://huggingface.co/datasets/open-llm-leaderboard/details_Xwin-LM__Xwin-LM-7B-V0.1/blob/main/results_2023-10-29T08-21-17.529053.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\": 0.027894295302013424,\n\ \ \"em_stderr\": 0.0016863747631550056,\n \"f1\": 0.09094588926174478,\n\ \ \"f1_stderr\": 0.0021236742209429166,\n \"acc\": 0.393149302914779,\n\ \ \"acc_stderr\": 0.009302457480391348\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.027894295302013424,\n \"em_stderr\": 0.0016863747631550056,\n\ \ \"f1\": 0.09094588926174478,\n \"f1_stderr\": 0.0021236742209429166\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.05307050796057619,\n \ \ \"acc_stderr\": 0.006174868858638367\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7332280978689818,\n \"acc_stderr\": 0.01243004610214433\n\ \ }\n}\n```" repo_url: https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1 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_22T01_35_00.215271 path: - '/details_harness\|arc:challenge\|25_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-09-22T01-35-00.215271.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_29T08_21_17.529053 path: - '/details_harness\|drop\|3_2023-10-29T08-21-17.529053.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-29T08-21-17.529053.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_29T08_21_17.529053 path: - '/details_harness\|gsm8k\|5_2023-10-29T08-21-17.529053.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-29T08-21-17.529053.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hellaswag\|10_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-09-22T01-35-00.215271.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-management\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_22T01_35_00.215271 path: - '/details_harness\|truthfulqa:mc\|0_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-09-22T01-35-00.215271.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_29T08_21_17.529053 path: - '/details_harness\|winogrande\|5_2023-10-29T08-21-17.529053.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-29T08-21-17.529053.parquet' - config_name: results data_files: - split: 2023_09_22T01_35_00.215271 path: - results_2023-09-22T01-35-00.215271.parquet - split: 2023_10_29T08_21_17.529053 path: - results_2023-10-29T08-21-17.529053.parquet - split: latest path: - results_2023-10-29T08-21-17.529053.parquet --- # Dataset Card for Evaluation run of Xwin-LM/Xwin-LM-7B-V0.1 ## Dataset Description - Homepage: - Repository: https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1 - 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 [Xwin-LM/Xwin-LM-7B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1) 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_Xwin-LM__Xwin-LM-7B-V0.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-29T08:21:17.529053](https://huggingface.co/datasets/open-llm-leaderboard/details_Xwin-LM__Xwin-LM-7B-V0.1/blob/main/results_2023-10-29T08-21-17.529053.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": 0.027894295302013424, "em_stderr": 0.0016863747631550056, "f1": 0.09094588926174478, "f1_stderr": 0.0021236742209429166, "acc": 0.393149302914779, "acc_stderr": 0.009302457480391348 }, "harness\|drop\|3": { "em": 0.027894295302013424, "em_stderr": 0.0016863747631550056, "f1": 0.09094588926174478, "f1_stderr": 0.0021236742209429166 }, "harness\|gsm8k\|5": { "acc": 0.05307050796057619, "acc_stderr": 0.006174868858638367 }, "harness\|winogrande\|5": { "acc": 0.7332280978689818, "acc_stderr": 0.01243004610214433 } } ``` ### 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]
HassenMh/ArabNER	--- license: cc-by-nc-4.0 --- # Create dataset for arabic named entiy
dharun2049/autotrain-data-skinnnnnnn	--- task_categories: - image-classification --- # AutoTrain Dataset for project: skinnnnnnn ## Dataset Description This dataset has been automatically processed by AutoTrain for project skinnnnnnn. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "image": "<224x224 RGB PIL image>", "target": 0 }, { "image": "<224x224 RGB PIL image>", "target": 1 } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(names=['benign', 'malignant'], id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: \| Split name \| Num samples \| \| ------------ \| ------------------- \| \| train \| 397 \| \| valid \| 101 \|
SJ1999/datatransformer1	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 547394 num_examples: 219 download_size: 62186 dataset_size: 547394 configs: - config_name: default data_files: - split: train path: data/train-* ---
Lechcher/My-Pc-Data	--- license: apache-2.0 ---
bigscience-data/roots_indic-mr_wikibooks	--- language: mr license: cc-by-sa-3.0 extra_gated_prompt: 'By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at: https://hf.co/spaces/bigscience/ethical-charter' extra_gated_fields: I have read and agree to abide by the BigScience Ethical Charter: checkbox --- ROOTS Subset: roots_indic-mr_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300
sazirarrwth99/training_bullet_text	--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 8969 num_examples: 3 download_size: 23957 dataset_size: 8969 --- # Dataset Card for "training_bullet_text" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ohilikeit/empathetic_dialogues_mutli_turn_ko	--- license: apache-2.0 task_categories: - text-generation language: - ko size_categories: - 10K<n<100K --- # Dataset Card for "한국어 일상 속 공감형 대화 데이터셋(멀티-턴)" ## Dataset Summary - boostCamp AI Tech 5기 과정 중 NLP 12조 훈제연어들 팀의 최종 프로젝트에서 제작한 데이터입니다. - 일상 속 다양한 상황에서 사용자와 챗봇 간의 대화를 담은 데이터셋 입니다. - GPT4, GPT3.5-turbo로 제작된 합성데이터이며 싱글-턴, 2-턴, 3-턴 대화로 구성되어 있습니다. - 답변은 [공감적 표현 - 일반적인 대화 - 관련된 질문] 의 형태를 가집니다. ## Generation Prompt Example(GPT3.5-turbo) ``` Take a close look at the following example and Conditions. Create nine sessions that each of the session is ongoing conversation about a single topic. [Conditions] - The questioner asks a question of appropriate length (1-2 lines) and you respond with an appropriate answer. - The answer should be a complete sentence or two, but the first sentence should be sympathetic to the questioner's question and situation, and should be answered in a friendly and non-rude manner. - The second sentence should be free-form, but the last sentence MUST end with an additional question related to the question and answer. - The total length of each question and answer combined should be no more than nine words - If the question is positive, you should be excited, upbeat, and positive in tone. - If the question is negative, you should be warm, sensitive, and caring in tone. - You may offer solutions to fit the situation. - All answers should be written in a way that makes the person feel empathetic and comforted by the paired question. - The content should be based on simple, everyday situations, but with enough variety to include specific situations (e.g., a counselor and a client, a student talking to a teacher about a problem, a conversation between friends). - The conversations should be as generic and diverse as possible. However, try to include many topics related to psychology and everyday concerns. - All responses should be polㅇite, respectful, caring, warm, understanding, and compassionate in tone and content. - Do not generate topic or word about 'stress'. - You should answer question 1 with answer 1, ask question 2 related to answer 1, answer question 2 with answer 2, ask question 3 related to answer 2, and answer question 3 with answer 3. - Do not re-mension about question on the following answer. [Example Session] (Session 1) Question 1: I had a fight with my boyfriend and I'm so angry I can't calm down. Answer 1: Oh no, I'm so sorry to hear that. Relationship conflict is always tough, and it's completely understandable to feel angry and upset. Can I ask what the fight was about? Talking about it could help you process your feelings. Question 2: He constantly 10 minutes late for appointments and never say sorry. Answer 2: Oh, that's so frustrating! Punctuality is a matter of respect for other people's time, and it sounds like your boyfriend isn't showing you that respect. You're allowed to be upset about that. How long has this been going on? Have you talked to him about it before, or is this the first time you've brought it up? Question 3: It keeps happening. This is the fourth time in the past month that I've recognized it. Does that make sense? Answer 3: Yes, that totally makes sense! Four times in a month is way too much. It's not just an occasional, forgivable mistake at that point. It's becoming a pattern of behavior that's disrespectful of your time. Have you told him how much it bothers you, or has he just brushed it off when you've mentioned it? (Session 2) Question 1: Answer 1: Question 2: Anwer 2: ..... (Session 9) Each session must be about one topic and has three question-answer conversation pair. nine sessions must have different topics. Create as many as possible sessions you can. Examples are examples, don't copy them. create it in Korean. please create nine sessions. ``` ## Links - repository : [boostcampaitech5/level3_nlp_finalproject-nlp-12](https://github.com/boostcampaitech5/level3_nlp_finalproject-nlp-12) - huggingface : [ohilikeit/empathetic_dialogues_kr](https://huggingface.co/datasets/ohilikeit/empathetic_dialogues_kr) ## License - Apache-2.0
CVasNLPExperiments/DTD_parition1_test_google_flan_t5_xl_mode_C_A_T_SPECIFIC_ns_1880	--- dataset_info: features: - name: id dtype: int64 - name: prompt dtype: string - name: true_label dtype: string - name: prediction dtype: string splits: - name: fewshot_0_clip_tags_ViT_L_14_LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14_clip_tags_ViT_L_14_simple_specific_rices num_bytes: 546856 num_examples: 1880 - name: fewshot_1_clip_tags_ViT_L_14_LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14_clip_tags_ViT_L_14_simple_specific_rices num_bytes: 1039535 num_examples: 1880 - name: fewshot_0_clip_tags_ViT_L_14_LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14_clip_tags_ViT_L_14_ensemble_specific_rices num_bytes: 546340 num_examples: 1880 download_size: 576598 dataset_size: 2132731 --- # Dataset Card for "DTD_parition1_test_google_flan_t5_xl_mode_C_A_T_SPECIFIC_ns_1880" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tyzhu/lmind_nq_train6000_eval6489_v1_doc	--- configs: - config_name: default data_files: - split: train_qa path: data/train_qa-* - split: train_ic_qa path: data/train_ic_qa-* - split: train_recite_qa path: data/train_recite_qa-* - split: eval_qa path: data/eval_qa-* - split: eval_ic_qa path: data/eval_ic_qa-* - split: eval_recite_qa path: data/eval_recite_qa-* - split: all_docs path: data/all_docs-* - split: all_docs_eval path: data/all_docs_eval-* - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: answers struct: - name: answer_start sequence: 'null' - name: text sequence: string - name: inputs dtype: string - name: targets dtype: string splits: - name: train_qa num_bytes: 697367 num_examples: 6000 - name: train_ic_qa num_bytes: 4540536 num_examples: 6000 - name: train_recite_qa num_bytes: 4546536 num_examples: 6000 - name: eval_qa num_bytes: 752802 num_examples: 6489 - name: eval_ic_qa num_bytes: 4906186 num_examples: 6489 - name: eval_recite_qa num_bytes: 4912675 num_examples: 6489 - name: all_docs num_bytes: 7126313 num_examples: 10925 - name: all_docs_eval num_bytes: 7125701 num_examples: 10925 - name: train num_bytes: 7126313 num_examples: 10925 - name: validation num_bytes: 7126313 num_examples: 10925 download_size: 30529604 dataset_size: 48860742 --- # Dataset Card for "lmind_nq_train6000_eval6489_v1_doc" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
KSU-HW-SEC/hardware_code_and_sec_small	--- dataset_info: features: - name: content dtype: string splits: - name: train num_bytes: 10022233711 num_examples: 510252 download_size: 2894629932 dataset_size: 10022233711 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "Hardware Phi-1.5B Small Dataset" ✉ Correspondence to: Weimin Fu (weiminf@ksu.edu) or Xiaolong Guo (guoxiaolong@ksu.edu) ## Citation Information Please cite the following paper when using the OSHD Dataset. ``` @article{fuhardware, title={Hardware Phi-1.5 B: A Large Language Model Encodes Hardware Domain Specific Knowledge}, author={Fu, Weimin and Li, Shijie and Zhao, Yifang and Ma, Haocheng and Dutta, Raj and Zhang, Xuan and Yang, Kaichen and Jin, Yier and Guo, Xiaolong}, journal={29th IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC)}, year={2024} } ``` ### Update from our group for Hardware domain-specific LLM: Blog: [Large Language Model for Hardware Security](https://ece.k-state.edu/research/hardware-security/llm.html) HomePage: [Hardware Security Lab](https://ece.k-state.edu/research/hardware-security/) ## Acknowledgment Portions of this work were supported by the National Science Foundation (CCF-2019310, First Award Program of ARISE in EPSCoR 2148878). [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ericyu/LEVIRCD_Cropped_256	--- dataset_info: features: - name: imageA dtype: image - name: imageB dtype: image - name: label dtype: image splits: - name: train num_bytes: 287118335.44 num_examples: 7120 - name: test num_bytes: 73188109.824 num_examples: 2048 - name: val num_bytes: 34384403.584 num_examples: 1024 download_size: 345121409 dataset_size: 394690848.848 --- # Dataset Card for "LEVIRCD_Cropped_256" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CyberHarem/matsuyama_kumiko_idolmastercinderellagirls	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of matsuyama_kumiko/松山久美子 (THE iDOLM@STER: Cinderella Girls) This is the dataset of matsuyama_kumiko/松山久美子 (THE iDOLM@STER: Cinderella Girls), containing 50 images and their tags. The core tags of this character are `long_hair, brown_hair, green_eyes, breasts, medium_breasts`, 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 \| 50 \| 41.55 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/matsuyama_kumiko_idolmastercinderellagirls/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 50 \| 28.50 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/matsuyama_kumiko_idolmastercinderellagirls/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 91 \| 50.33 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/matsuyama_kumiko_idolmastercinderellagirls/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 50 \| 37.28 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/matsuyama_kumiko_idolmastercinderellagirls/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 91 \| 63.10 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/matsuyama_kumiko_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/matsuyama_kumiko_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 \| 20 \| ![](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, smile, looking_at_viewer, dress, hair_ornament, blush, cleavage, elbow_gloves, open_mouth, bare_shoulders, flower \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| solo \| smile \| looking_at_viewer \| dress \| hair_ornament \| blush \| cleavage \| elbow_gloves \| open_mouth \| bare_shoulders \| flower \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:-------\|:--------\|:--------------------\|:--------\|:----------------\|:--------\|:-----------\|:---------------\|:-------------\|:-----------------\|:---------\| \| 0 \| 20 \| ![](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 \|
Nicolas-BZRD/CASS_opendata	--- language: - fr license: odc-by size_categories: - 100K<n<1M pretty_name: Cour de cassation tags: - legal configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 821334132 num_examples: 142278 download_size: 357899718 dataset_size: 821334132 --- # Court of Cassation [The major decisions of judicial jurisprudence](https://www.data.gouv.fr/en/datasets/cass/); the decisions of the Cour de cassation : - published in the Bulletin des chambres civiles since 1960 - published in the Bulletin de la chambre criminelle since 1963. Full text of rulings, supplemented by columns and summaries written by Court of Cassation judges.
CyberHarem/courier_arknights	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of courier_arknights This is the dataset of courier_arknights, containing 82 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 82 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 177 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 82 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 82 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 82 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 82 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 82 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 177 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 177 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 177 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
ohnonoho/demo	--- license: mit ---
truong9499/zac-2023-advertising-banner-generation	--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 85687454.064 num_examples: 1347 download_size: 83076731 dataset_size: 85687454.064 configs: - config_name: default data_files: - split: train path: data/train-* ---
huggingartists/radiohead	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/radiohead" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.302754 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/46e691e8700c20eb5f0aaf675b784aed.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/radiohead"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Radiohead</div> <a href="https://genius.com/artists/radiohead"> <div style="text-align: center; font-size: 14px;">@radiohead</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/radiohead). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/radiohead") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|505\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/radiohead") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. [![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)
pranjali97/labelled_vi_ko_raw_text	--- dataset_info: features: - name: src dtype: string - name: tgt dtype: string - name: classifier_labels dtype: int64 splits: - name: train num_bytes: 9844626 num_examples: 40000 download_size: 5466676 dataset_size: 9844626 --- # Dataset Card for "labelled_vi_ko_raw_text" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Azure99/blossom-math-v3	--- license: apache-2.0 task_categories: - text-generation - text2text-generation language: - zh - en size_categories: - 10K<n<100K --- # BLOSSOM MATH V3 ### 介绍 Blossom Math V3是基于Math23K和GSM8K衍生而来的中英双语数学对话数据集，适用于数学问题微调。相比于blossom-math-v2，进一步优化了数据处理流程，并强化答案检查。本数据集采用全量Math23K、GSM8K和翻译后的GSM8K的问题，随后调用gpt-3.5-turbo-0613生成结果，并使用原始数据集中的答案对生成的结果进行验证，过滤掉错误答案，很大程度上保证了问题和答案的准确性。本次发布了全量数据的25%，包含10K记录。 ### 语言中文和英文 ### 数据集结构每条数据代表一个完整的题目及答案，包含id、input、output、answer、dataset四个字段。 - id：字符串，代表原始数据集中的题目id，与dataset字段结合可确定唯一题目。 - input：字符串，代表问题。 - output：字符串，代表gpt-3.5-turbo-0613生成的答案。 - answer：字符串，代表正确答案。 - dataset：字符串，代表原始数据集。 ### 数据集限制本数据集的所有响应均由gpt-3.5-turbo-0613生成，并经过初步校验，但仍可能包含不准确的回答。
weisshufer/dataset	--- license: mit ---
Rakshit122/truthfulkk12	--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: category dtype: string - name: test_type dtype: string - name: original_question dtype: string - name: original_context dtype: string - name: perturbed_question dtype: string - name: perturbed_context dtype: string splits: - name: train num_bytes: 171210 num_examples: 136 download_size: 42144 dataset_size: 171210 --- # Dataset Card for "truthfulkk12" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
liuyanchen1015/MULTI_VALUE_qqp_regularized_past_tense	--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 231118 num_examples: 1106 - name: test num_bytes: 2392549 num_examples: 11420 - name: train num_bytes: 2203368 num_examples: 10403 download_size: 3042138 dataset_size: 4827035 --- # Dataset Card for "MULTI_VALUE_qqp_regularized_past_tense" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
vanesa1221/llama2-unsaac	--- license: mit language: - es size_categories: - n<1K --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> 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). ## 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]
CyberHarem/tatsuta_kantaicollection	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of tatsuta/龍田 (Kantai Collection) This is the dataset of tatsuta/龍田 (Kantai Collection), containing 500 images and their tags. The core tags of this character are `purple_hair, short_hair, purple_eyes, mechanical_halo, halo, breasts, large_breasts`, 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 \| 483.74 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/tatsuta_kantaicollection/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 500 \| 332.36 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/tatsuta_kantaicollection/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 1148 \| 675.75 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/tatsuta_kantaicollection/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 500 \| 450.04 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/tatsuta_kantaicollection/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 1148 \| 856.37 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/tatsuta_kantaicollection/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/tatsuta_kantaicollection', 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) \| glaive_(polearm), 1girl, solo, smile, school_uniform, looking_at_viewer, dress, black_gloves \| \| 1 \| 7 \| ![](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, black_gloves, long_sleeves, looking_at_viewer, simple_background, solo, upper_body, neck_ribbon, white_background, red_ribbon, smile, dress, hair_intakes \| \| 2 \| 6 \| ![](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, black_gloves, dress, glaive_(polearm), sleeveless, solo, white_background, black_skirt, looking_at_viewer, simple_background, black_capelet, cowboy_shot, hair_intakes, holding_weapon, smile \| \| 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) \| 2girls, gloves, smile, headgear, ribbon, school_uniform, blush, looking_at_viewer, medium_breasts, open_mouth \| \| 4 \| 15 \| ![](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) \| 1boy, blush, hetero, penis, 1girl, smile, nipples, solo_focus, gloves, breasts_out, open_mouth, cum, mosaic_censoring, sweat, girl_on_top, paizuri, sex \| \| 5 \| 24 \| ![](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, hair_flower, black_bikini, smile, looking_at_viewer, navel, sarong, blush, cleavage \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| glaive_(polearm) \| 1girl \| solo \| smile \| school_uniform \| looking_at_viewer \| dress \| black_gloves \| long_sleeves \| simple_background \| upper_body \| neck_ribbon \| white_background \| red_ribbon \| hair_intakes \| sleeveless \| black_skirt \| black_capelet \| cowboy_shot \| holding_weapon \| 2girls \| gloves \| headgear \| ribbon \| blush \| medium_breasts \| open_mouth \| 1boy \| hetero \| penis \| nipples \| solo_focus \| breasts_out \| cum \| mosaic_censoring \| sweat \| girl_on_top \| paizuri \| sex \| hair_flower \| black_bikini \| navel \| sarong \| cleavage \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:-------------------\|:--------\|:-------\|:--------\|:-----------------\|:--------------------\|:--------\|:---------------\|:---------------\|:--------------------\|:-------------\|:--------------\|:-------------------\|:-------------\|:---------------\|:-------------\|:--------------\|:----------------\|:--------------\|:-----------------\|:---------\|:---------\|:-----------\|:---------\|:--------\|:-----------------\|:-------------\|:-------\|:---------\|:--------\|:----------\|:-------------\|:--------------\|:------\|:-------------------\|:--------\|:--------------\|:----------\|:------\|:--------------\|:---------------\|:--------\|:---------\|:-----------\| \| 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 \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 7 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 2 \| 6 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 4 \| 15 \| ![](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 \| \| \| \| \| \| \| 5 \| 24 \| ![](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 \|
pacovaldez/predicted-squad2	--- dataset_info: features: - name: question_id dtype: int64 - name: question_title dtype: string - name: question_body dtype: string - name: accepted_answer_id dtype: int64 - name: question_creation_date dtype: timestamp[us] - name: question_answer_count dtype: int64 - name: question_favorite_count dtype: float64 - name: question_score dtype: int64 - name: question_view_count dtype: int64 - name: tags dtype: string - name: answer_body dtype: string - name: answer_creation_date dtype: timestamp[us] - name: answer_score dtype: int64 - name: link dtype: string - name: context dtype: string - name: answer_start dtype: int64 - name: answer_end dtype: int64 - name: question dtype: string - name: predicted_answer dtype: string - name: parsed_answer dtype: string splits: - name: train num_bytes: 4103753 num_examples: 100 download_size: 1950624 dataset_size: 4103753 --- # Dataset Card for "predicted-squad2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
vilm/MathPile-Wikipedia	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 136824050 num_examples: 20860 download_size: 72346987 dataset_size: 136824050 configs: - config_name: default data_files: - split: train path: data/train-* ---
zolak/twitter_dataset_81_1713146748	--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 318122 num_examples: 758 download_size: 159407 dataset_size: 318122 configs: - config_name: default data_files: - split: train path: data/train-* ---
damilola2104/Nigeria_Audio_Dataset	--- license: cc-by-nc-sa-4.0 dataset_info: features: - name: label dtype: string - name: text dtype: string - name: audio dtype: string splits: - name: train num_bytes: 316859.08753056236 num_examples: 1431 - name: test num_bytes: 135954.91246943767 num_examples: 614 download_size: 177961 dataset_size: 452814.0 ---
KnutJaegersberg/FEVER_claim_extraction	--- license: mit tags: - argument mining --- I found this dataset on my harddrive, which if I remember correctly I got from the source mentioned in the paper: "Claim extraction from text using transfer learning" - By Acharya Ashish Prabhakar, Salar Mohtaj, Sebastian Möller https://aclanthology.org/2020.icon-main.39/ The github repo with the data seems down. It extends FEVER dataset with non-claims for training claim detectors.
dipteshkanojia/t5-qe-2023-engu-da-sys-test	--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: task dtype: string splits: - name: train num_bytes: 581637 num_examples: 1075 download_size: 244216 dataset_size: 581637 configs: - config_name: default data_files: - split: train path: data/train-* language: - en - gu --- # Dataset Card for "t5-qe-2023-engu-da-sys-test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
EleutherAI/quirky_multiplication_increment0_bob_easy	--- 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: alice_label dtype: bool - name: bob_label dtype: bool - name: difficulty dtype: int64 - name: statement dtype: string - name: choices sequence: string - name: character dtype: string - name: label dtype: bool splits: - name: train num_bytes: 3141608.153020833 num_examples: 47510 - name: validation num_bytes: 63878.4405 num_examples: 966 - name: test num_bytes: 65185.939 num_examples: 986 download_size: 806120 dataset_size: 3270672.532520833 --- # Dataset Card for "quirky_multiplication_increment0_bob_easy" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
davanstrien/fuego-20230308-130305-44019f	--- tags: - fuego fuego: id: 20230308-130305-44019f status: preparing script: script.py requirements_file: requirements.txt space_id: davanstrien/fuego-20230308-130305-44019f space_hardware: t4-small ---
PeepDaSlan9/DIDI	--- license: apache-2.0 task_categories: - conversational - text-classification - table-question-answering - question-answering - translation - summarization - text-generation - text2text-generation - text-to-speech - automatic-speech-recognition - text-to-audio - voice-activity-detection language: - ko - ru - ig - es - en - ar - fr - de - am pretty_name: 'DIDI_3.5 ' size_categories: - 100M<n<1B ---
csupiisc/plmn_instruct_5k	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1132554 num_examples: 4000 - name: test num_bytes: 282676 num_examples: 1000 download_size: 229610 dataset_size: 1415230 --- # Dataset Card for "plmn_instruct_5k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
coref-data/litbank_raw	--- license: cc-by-4.0 configs: - config_name: split_0 data_files: - split: train path: split_0/train-* - split: validation path: split_0/validation-* - split: test path: split_0/test-* - config_name: split_1 data_files: - split: train path: split_1/train-* - split: validation path: split_1/validation-* - split: test path: split_1/test-* - config_name: split_2 data_files: - split: train path: split_2/train-* - split: validation path: split_2/validation-* - split: test path: split_2/test-* - config_name: split_3 data_files: - split: train path: split_3/train-* - split: validation path: split_3/validation-* - split: test path: split_3/test-* - config_name: split_4 data_files: - split: train path: split_4/train-* - split: validation path: split_4/validation-* - split: test path: split_4/test-* - config_name: split_5 data_files: - split: train path: split_5/train-* - split: validation path: split_5/validation-* - split: test path: split_5/test-* - config_name: split_6 data_files: - split: train path: split_6/train-* - split: validation path: split_6/validation-* - split: test path: split_6/test-* - config_name: split_7 data_files: - split: train path: split_7/train-* - split: validation path: split_7/validation-* - split: test path: split_7/test-* - config_name: split_8 data_files: - split: train path: split_8/train-* - split: validation path: split_8/validation-* - split: test path: split_8/test-* - config_name: split_9 data_files: - split: train path: split_9/train-* - split: validation path: split_9/validation-* - split: test path: split_9/test-* --- # LitBank - Project: https://github.com/dbamman/litbank - Data source: https://github.com/dbamman/litbank/commit/3e50db0ffc033d7ccbb94f4d88f6b99210328ed8 - Crossval splits source: https://github.com/dbamman/lrec2020-coref/commit/e30de53743d36d1ea2c9e7292c69477fa332713c ## Details Ten configs of the form f"split_{X}" where X is in range(10) ### Features ``` {'coref_chains': List[List[List[int]]] # list of clusters, each cluster is a list of mentions, each mention is a list of [sent_idx, start, end] inclusive 'doc_name': str 'entities': List[List[{'bio_tags': List[str] 'token': str}]], # list of sentences, each sentence is a list of tokens, each token has a list of bio tags and the token 'events': List[List[{'is_event': bool, 'token': str}]], # list of sentences, each sentence is a list of tokens, each token contains is_event and the token 'meta_info': {'author': str, 'date': str, 'gutenberg_id': str, 'title': str}, 'original_text': str, 'quotes': List[{'attribution': str, 'end': {'sent_id': str, 'token_id': str}, 'quotation': str, 'quote_id': str, 'start': {'sent_id': str, 'token_id': str}}], 'sentences': List[List[str]], } ``` ## Citation ``` @inproceedings{bamman-etal-2019-annotated, title = "An annotated dataset of literary entities", author = "Bamman, David and Popat, Sejal and Shen, Sheng", editor = "Burstein, Jill and Doran, Christy and Solorio, Thamar", booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)", month = jun, year = "2019", address = "Minneapolis, Minnesota", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/N19-1220", doi = "10.18653/v1/N19-1220", pages = "2138--2144", abstract = "We present a new dataset comprised of 210,532 tokens evenly drawn from 100 different English-language literary texts annotated for ACE entity categories (person, location, geo-political entity, facility, organization, and vehicle). These categories include non-named entities (such as {``}the boy{''}, {``}the kitchen{''}) and nested structure (such as [[the cook]{'}s sister]). In contrast to existing datasets built primarily on news (focused on geo-political entities and organizations), literary texts offer strikingly different distributions of entity categories, with much stronger emphasis on people and description of settings. We present empirical results demonstrating the performance of nested entity recognition models in this domain; training natively on in-domain literary data yields an improvement of over 20 absolute points in F-score (from 45.7 to 68.3), and mitigates a disparate impact in performance for male and female entities present in models trained on news data.", } ``` ### Event detection ``` @inproceedings{sims-etal-2019-literary, title = "Literary Event Detection", author = "Sims, Matthew and Park, Jong Ho and Bamman, David", editor = "Korhonen, Anna and Traum, David and M{\`a}rquez, Llu{\'\i}s", booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics", month = jul, year = "2019", address = "Florence, Italy", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/P19-1353", doi = "10.18653/v1/P19-1353", pages = "3623--3634", abstract = "In this work we present a new dataset of literary events{---}events that are depicted as taking place within the imagined space of a novel. While previous work has focused on event detection in the domain of contemporary news, literature poses a number of complications for existing systems, including complex narration, the depiction of a broad array of mental states, and a strong emphasis on figurative language. We outline the annotation decisions of this new dataset and compare several models for predicting events; the best performing model, a bidirectional LSTM with BERT token representations, achieves an F1 score of 73.9. We then apply this model to a corpus of novels split across two dimensions{---}prestige and popularity{---}and demonstrate that there are statistically significant differences in the distribution of events for prestige.", } ``` ### Coreference ``` @inproceedings{bamman-etal-2020-annotated, title = "An Annotated Dataset of Coreference in {E}nglish Literature", author = "Bamman, David and Lewke, Olivia and Mansoor, Anya", editor = "Calzolari, Nicoletta and B{\'e}chet, Fr{\'e}d{\'e}ric and Blache, Philippe and Choukri, Khalid and Cieri, Christopher and Declerck, Thierry and Goggi, Sara and Isahara, Hitoshi and Maegaard, Bente and Mariani, Joseph and Mazo, H{\'e}l{\`e}ne and Moreno, Asuncion and Odijk, Jan and Piperidis, Stelios", booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference", month = may, year = "2020", address = "Marseille, France", publisher = "European Language Resources Association", url = "https://aclanthology.org/2020.lrec-1.6", pages = "44--54", abstract = "We present in this work a new dataset of coreference annotations for works of literature in English, covering 29,103 mentions in 210,532 tokens from 100 works of fiction published between 1719 and 1922. This dataset differs from previous coreference corpora in containing documents whose average length (2,105.3 words) is four times longer than other benchmark datasets (463.7 for OntoNotes), and contains examples of difficult coreference problems common in literature. This dataset allows for an evaluation of cross-domain performance for the task of coreference resolution, and analysis into the characteristics of long-distance within-document coreference.", language = "English", ISBN = "979-10-95546-34-4", } ```
taesiri/simple_fsm_bench2	--- dataset_info: features: - name: id dtype: string - name: fsm_json dtype: string - name: string dtype: string - name: label dtype: string - name: difficulty_level dtype: int64 - name: num_states dtype: int64 - name: num_transitions dtype: int64 - name: dot dtype: string - name: transition_matrix dtype: string - name: start_state dtype: string - name: accepting_states sequence: string splits: - name: train num_bytes: 97257596 num_examples: 21452 - name: validation num_bytes: 49657155 num_examples: 11102 download_size: 1795783 dataset_size: 146914751 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---
tjsiledar/SummEval-OP	--- license: mit ---
one-sec-cv12/chunk_16	--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 23311906128.125 num_examples: 242711 download_size: 20728341325 dataset_size: 23311906128.125 --- # Dataset Card for "chunk_16" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Kiurachi/lggj	--- license: openrail ---
cosc/misc-datasets	--- license: creativeml-openrail-m language: - en pipeline_tag: text-to-image tags: - stable-diffusion - art - dataset - concept - character - style - dreambooth - lora - textual inversion --- # Misc Datasets Here i will upload datasets (images + captions) of concepts/styles/characters for anyone to use on their models, as i am not able to do LoRA's myself, alongside other datasets i've used for other models.</br> Some are handcropped and/or handpicked, some not. If it's a big dataset it's probably automatically cropped (https://www.birme.net, 1280x1280, jpeg 95% quality) and not handpicked. I've also included a python script for anyone that wants to use gallery-dl to download images, since its tags are pretty fucked up.</br> It basically fixes its main problems and also removes metatags like 'commentary', 'translated' and similar, and gives the option to change underscores with spaces and other stuff. <details> <summary>Characters</summary> - [Neru (Blue Archive)](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/characters/neru_ba.rar) - [Jibril (No Game No Life)](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/characters/jibril.rar) - [Fubuki (One Punch Man)](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/characters/fubuki.rar) Doesn't include captions! You might want to use something like WD Tagger. </details> <details> <summary>Styles</summary> - [Cutesexyrobutts](https://huggingface.co/datasets/Cosk/cutesexyrobutts) - [One Punch Man - Yuusuke Murata](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/styles/opm_murata.rar) Doesn't include captions! You might want to use something like WD Tagger. - [Phantom IX Row](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/styles/phantom_ix_row.rar) - [Mamimi (Mamamimi)](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/styles/mamimi.rar) </details> <details> <summary>Concepts</summary> - [Breasts On Glass](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/brst_gls.rar) Doesn't include captions! You might want to use something like WD Tagger. - [Fingering](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/fingering.rar) - [Oversized Breast Cup](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/oversized_cup.rar) - [White Eyelashes](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/white_eyelashes.rar) - [Mizumizuni Fellatio](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/mizumizuni.rar) - [Unaligned Breasts Doggystyle](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/unbr_doggy.rar) - [Milking Handjob](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/mlk_handjob.rar) - [Fellatio + View Between Legs](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/between_legs_fella.rar) </details>
open-llm-leaderboard/details_ChuckMcSneed__Gembo-v1.1-70b	--- pretty_name: Evaluation run of ChuckMcSneed/Gembo-v1.1-70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ChuckMcSneed/Gembo-v1.1-70b](https://huggingface.co/ChuckMcSneed/Gembo-v1.1-70b)\ \ 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_ChuckMcSneed__Gembo-v1.1-70b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-10T16:28:59.613230](https://huggingface.co/datasets/open-llm-leaderboard/details_ChuckMcSneed__Gembo-v1.1-70b/blob/main/results_2024-02-10T16-28-59.613230.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\": 0.7037169866635749,\n\ \ \"acc_stderr\": 0.030408999256517827,\n \"acc_norm\": 0.7091585136665425,\n\ \ \"acc_norm_stderr\": 0.030988155888902767,\n \"mc1\": 0.4455324357405141,\n\ \ \"mc1_stderr\": 0.017399335280140354,\n \"mc2\": 0.6245089770845819,\n\ \ \"mc2_stderr\": 0.01502641583909722\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6715017064846417,\n \"acc_stderr\": 0.013724978465537302,\n\ \ \"acc_norm\": 0.7098976109215017,\n \"acc_norm_stderr\": 0.013261573677520764\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6822346146186019,\n\ \ \"acc_stderr\": 0.004646561453031608,\n \"acc_norm\": 0.8689504082852022,\n\ \ \"acc_norm_stderr\": 0.003367649220362108\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6,\n \ \ \"acc_stderr\": 0.04232073695151589,\n \"acc_norm\": 0.6,\n \"\ acc_norm_stderr\": 0.04232073695151589\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.7828947368421053,\n \"acc_stderr\": 0.03355045304882924,\n\ \ \"acc_norm\": 0.7828947368421053,\n \"acc_norm_stderr\": 0.03355045304882924\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.74,\n\ \ \"acc_stderr\": 0.04408440022768081,\n \"acc_norm\": 0.74,\n \ \ \"acc_norm_stderr\": 0.04408440022768081\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.720754716981132,\n \"acc_stderr\": 0.027611163402399715,\n\ \ \"acc_norm\": 0.720754716981132,\n \"acc_norm_stderr\": 0.027611163402399715\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.8194444444444444,\n\ \ \"acc_stderr\": 0.032166008088022675,\n \"acc_norm\": 0.8194444444444444,\n\ \ \"acc_norm_stderr\": 0.032166008088022675\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.59,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\"\ : 0.59,\n \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6473988439306358,\n\ \ \"acc_stderr\": 0.036430371689585475,\n \"acc_norm\": 0.6473988439306358,\n\ \ \"acc_norm_stderr\": 0.036430371689585475\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\ \ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.6680851063829787,\n \"acc_stderr\": 0.030783736757745653,\n\ \ \"acc_norm\": 0.6680851063829787,\n \"acc_norm_stderr\": 0.030783736757745653\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.0470070803355104,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.0470070803355104\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.6413793103448275,\n \"acc_stderr\": 0.03996629574876719,\n\ \ \"acc_norm\": 0.6413793103448275,\n \"acc_norm_stderr\": 0.03996629574876719\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.48677248677248675,\n \"acc_stderr\": 0.025742297289575142,\n \"\ acc_norm\": 0.48677248677248675,\n \"acc_norm_stderr\": 0.025742297289575142\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04472135954999579,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04472135954999579\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.8387096774193549,\n\ \ \"acc_stderr\": 0.020923327006423298,\n \"acc_norm\": 0.8387096774193549,\n\ \ \"acc_norm_stderr\": 0.020923327006423298\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\": 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\"\ : 0.76,\n \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8363636363636363,\n \"acc_stderr\": 0.02888787239548795,\n\ \ \"acc_norm\": 0.8363636363636363,\n \"acc_norm_stderr\": 0.02888787239548795\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.898989898989899,\n \"acc_stderr\": 0.021469735576055343,\n \"\ acc_norm\": 0.898989898989899,\n \"acc_norm_stderr\": 0.021469735576055343\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9326424870466321,\n \"acc_stderr\": 0.018088393839078894,\n\ \ \"acc_norm\": 0.9326424870466321,\n \"acc_norm_stderr\": 0.018088393839078894\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.7282051282051282,\n \"acc_stderr\": 0.022556551010132368,\n\ \ \"acc_norm\": 0.7282051282051282,\n \"acc_norm_stderr\": 0.022556551010132368\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.028578348365473072,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.028578348365473072\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.773109243697479,\n \"acc_stderr\": 0.027205371538279472,\n \ \ \"acc_norm\": 0.773109243697479,\n \"acc_norm_stderr\": 0.027205371538279472\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.5033112582781457,\n \"acc_stderr\": 0.04082393379449654,\n \"\ acc_norm\": 0.5033112582781457,\n \"acc_norm_stderr\": 0.04082393379449654\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8972477064220183,\n \"acc_stderr\": 0.013018246509173768,\n \"\ acc_norm\": 0.8972477064220183,\n \"acc_norm_stderr\": 0.013018246509173768\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5925925925925926,\n \"acc_stderr\": 0.033509916046960436,\n \"\ acc_norm\": 0.5925925925925926,\n \"acc_norm_stderr\": 0.033509916046960436\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.9019607843137255,\n \"acc_stderr\": 0.0208711184555521,\n \"acc_norm\"\ : 0.9019607843137255,\n \"acc_norm_stderr\": 0.0208711184555521\n },\n\ \ \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"acc\":\ \ 0.8818565400843882,\n \"acc_stderr\": 0.021011052659878467,\n \"\ acc_norm\": 0.8818565400843882,\n \"acc_norm_stderr\": 0.021011052659878467\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7802690582959642,\n\ \ \"acc_stderr\": 0.027790177064383595,\n \"acc_norm\": 0.7802690582959642,\n\ \ \"acc_norm_stderr\": 0.027790177064383595\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8473282442748091,\n \"acc_stderr\": 0.03154521672005473,\n\ \ \"acc_norm\": 0.8473282442748091,\n \"acc_norm_stderr\": 0.03154521672005473\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.859504132231405,\n \"acc_stderr\": 0.031722334260021585,\n \"\ acc_norm\": 0.859504132231405,\n \"acc_norm_stderr\": 0.031722334260021585\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7962962962962963,\n\ \ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\ \ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.8650306748466258,\n \"acc_stderr\": 0.026845765054553848,\n\ \ \"acc_norm\": 0.8650306748466258,\n \"acc_norm_stderr\": 0.026845765054553848\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5982142857142857,\n\ \ \"acc_stderr\": 0.04653333146973647,\n \"acc_norm\": 0.5982142857142857,\n\ \ \"acc_norm_stderr\": 0.04653333146973647\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8349514563106796,\n \"acc_stderr\": 0.03675668832233188,\n\ \ \"acc_norm\": 0.8349514563106796,\n \"acc_norm_stderr\": 0.03675668832233188\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.9017094017094017,\n\ \ \"acc_stderr\": 0.019503444900757567,\n \"acc_norm\": 0.9017094017094017,\n\ \ \"acc_norm_stderr\": 0.019503444900757567\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.8620689655172413,\n\ \ \"acc_stderr\": 0.012331009307795663,\n \"acc_norm\": 0.8620689655172413,\n\ \ \"acc_norm_stderr\": 0.012331009307795663\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.8121387283236994,\n \"acc_stderr\": 0.021029269752423214,\n\ \ \"acc_norm\": 0.8121387283236994,\n \"acc_norm_stderr\": 0.021029269752423214\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.6424581005586593,\n\ \ \"acc_stderr\": 0.016029394474894886,\n \"acc_norm\": 0.6424581005586593,\n\ \ \"acc_norm_stderr\": 0.016029394474894886\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7549019607843137,\n \"acc_stderr\": 0.024630048979824765,\n\ \ \"acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.024630048979824765\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7909967845659164,\n\ \ \"acc_stderr\": 0.02309314039837422,\n \"acc_norm\": 0.7909967845659164,\n\ \ \"acc_norm_stderr\": 0.02309314039837422\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8240740740740741,\n \"acc_stderr\": 0.021185893615225174,\n\ \ \"acc_norm\": 0.8240740740740741,\n \"acc_norm_stderr\": 0.021185893615225174\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5425531914893617,\n \"acc_stderr\": 0.029719281272236837,\n \ \ \"acc_norm\": 0.5425531914893617,\n \"acc_norm_stderr\": 0.029719281272236837\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.560625814863103,\n\ \ \"acc_stderr\": 0.012676014778580217,\n \"acc_norm\": 0.560625814863103,\n\ \ \"acc_norm_stderr\": 0.012676014778580217\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.7573529411764706,\n \"acc_stderr\": 0.026040662474201247,\n\ \ \"acc_norm\": 0.7573529411764706,\n \"acc_norm_stderr\": 0.026040662474201247\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.7483660130718954,\n \"acc_stderr\": 0.01755581809132228,\n \ \ \"acc_norm\": 0.7483660130718954,\n \"acc_norm_stderr\": 0.01755581809132228\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7363636363636363,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7836734693877551,\n \"acc_stderr\": 0.02635891633490403,\n\ \ \"acc_norm\": 0.7836734693877551,\n \"acc_norm_stderr\": 0.02635891633490403\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8855721393034826,\n\ \ \"acc_stderr\": 0.022509345325101716,\n \"acc_norm\": 0.8855721393034826,\n\ \ \"acc_norm_stderr\": 0.022509345325101716\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.89,\n \"acc_stderr\": 0.03144660377352203,\n \ \ \"acc_norm\": 0.89,\n \"acc_norm_stderr\": 0.03144660377352203\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.03878626771002361,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.03878626771002361\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8713450292397661,\n \"acc_stderr\": 0.025679342723276915,\n\ \ \"acc_norm\": 0.8713450292397661,\n \"acc_norm_stderr\": 0.025679342723276915\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4455324357405141,\n\ \ \"mc1_stderr\": 0.017399335280140354,\n \"mc2\": 0.6245089770845819,\n\ \ \"mc2_stderr\": 0.01502641583909722\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8050513022888713,\n \"acc_stderr\": 0.011134099415938278\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.5064442759666414,\n \ \ \"acc_stderr\": 0.013771340765699773\n }\n}\n```" repo_url: https://huggingface.co/ChuckMcSneed/Gembo-v1.1-70b 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_02_10T16_28_59.613230 path: - '/details_harness\|arc:challenge\|25_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-02-10T16-28-59.613230.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|gsm8k\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hellaswag\|10_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T16-28-59.613230.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-02-10T16-28-59.613230.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '/details_harness\|winogrande\|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-02-10T16-28-59.613230.parquet' - config_name: results data_files: - split: 2024_02_10T16_28_59.613230 path: - results_2024-02-10T16-28-59.613230.parquet - split: latest path: - results_2024-02-10T16-28-59.613230.parquet --- # Dataset Card for Evaluation run of ChuckMcSneed/Gembo-v1.1-70b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [ChuckMcSneed/Gembo-v1.1-70b](https://huggingface.co/ChuckMcSneed/Gembo-v1.1-70b) 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_ChuckMcSneed__Gembo-v1.1-70b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-10T16:28:59.613230](https://huggingface.co/datasets/open-llm-leaderboard/details_ChuckMcSneed__Gembo-v1.1-70b/blob/main/results_2024-02-10T16-28-59.613230.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": 0.7037169866635749, "acc_stderr": 0.030408999256517827, "acc_norm": 0.7091585136665425, "acc_norm_stderr": 0.030988155888902767, "mc1": 0.4455324357405141, "mc1_stderr": 0.017399335280140354, "mc2": 0.6245089770845819, "mc2_stderr": 0.01502641583909722 }, "harness\|arc:challenge\|25": { "acc": 0.6715017064846417, "acc_stderr": 0.013724978465537302, "acc_norm": 0.7098976109215017, "acc_norm_stderr": 0.013261573677520764 }, "harness\|hellaswag\|10": { "acc": 0.6822346146186019, "acc_stderr": 0.004646561453031608, "acc_norm": 0.8689504082852022, "acc_norm_stderr": 0.003367649220362108 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6, "acc_stderr": 0.04232073695151589, "acc_norm": 0.6, "acc_norm_stderr": 0.04232073695151589 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.7828947368421053, "acc_stderr": 0.03355045304882924, "acc_norm": 0.7828947368421053, "acc_norm_stderr": 0.03355045304882924 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.74, "acc_stderr": 0.04408440022768081, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768081 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.720754716981132, "acc_stderr": 0.027611163402399715, "acc_norm": 0.720754716981132, "acc_norm_stderr": 0.027611163402399715 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.8194444444444444, "acc_stderr": 0.032166008088022675, "acc_norm": 0.8194444444444444, "acc_norm_stderr": 0.032166008088022675 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6473988439306358, "acc_stderr": 0.036430371689585475, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.036430371689585475 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.79, "acc_stderr": 0.04093601807403326, "acc_norm": 0.79, "acc_norm_stderr": 0.04093601807403326 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6680851063829787, "acc_stderr": 0.030783736757745653, "acc_norm": 0.6680851063829787, "acc_norm_stderr": 0.030783736757745653 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4824561403508772, "acc_stderr": 0.0470070803355104, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.0470070803355104 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.6413793103448275, "acc_stderr": 0.03996629574876719, "acc_norm": 0.6413793103448275, "acc_norm_stderr": 0.03996629574876719 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.48677248677248675, "acc_stderr": 0.025742297289575142, "acc_norm": 0.48677248677248675, "acc_norm_stderr": 0.025742297289575142 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.5, "acc_stderr": 0.04472135954999579, "acc_norm": 0.5, "acc_norm_stderr": 0.04472135954999579 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8387096774193549, "acc_stderr": 0.020923327006423298, "acc_norm": 0.8387096774193549, "acc_norm_stderr": 0.020923327006423298 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.541871921182266, "acc_stderr": 0.03505630140785741, "acc_norm": 0.541871921182266, "acc_norm_stderr": 0.03505630140785741 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8363636363636363, "acc_stderr": 0.02888787239548795, "acc_norm": 0.8363636363636363, "acc_norm_stderr": 0.02888787239548795 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.898989898989899, "acc_stderr": 0.021469735576055343, "acc_norm": 0.898989898989899, "acc_norm_stderr": 0.021469735576055343 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9326424870466321, "acc_stderr": 0.018088393839078894, "acc_norm": 0.9326424870466321, "acc_norm_stderr": 0.018088393839078894 }, 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"acc_stderr": 0.02309314039837422, "acc_norm": 0.7909967845659164, "acc_norm_stderr": 0.02309314039837422 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.8240740740740741, "acc_stderr": 0.021185893615225174, "acc_norm": 0.8240740740740741, "acc_norm_stderr": 0.021185893615225174 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.5425531914893617, "acc_stderr": 0.029719281272236837, "acc_norm": 0.5425531914893617, "acc_norm_stderr": 0.029719281272236837 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.560625814863103, "acc_stderr": 0.012676014778580217, "acc_norm": 0.560625814863103, "acc_norm_stderr": 0.012676014778580217 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.7573529411764706, "acc_stderr": 0.026040662474201247, "acc_norm": 0.7573529411764706, "acc_norm_stderr": 0.026040662474201247 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.7483660130718954, "acc_stderr": 0.01755581809132228, "acc_norm": 0.7483660130718954, "acc_norm_stderr": 0.01755581809132228 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7363636363636363, "acc_stderr": 0.04220224692971987, "acc_norm": 0.7363636363636363, "acc_norm_stderr": 0.04220224692971987 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7836734693877551, "acc_stderr": 0.02635891633490403, "acc_norm": 0.7836734693877551, "acc_norm_stderr": 0.02635891633490403 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8855721393034826, "acc_stderr": 0.022509345325101716, "acc_norm": 0.8855721393034826, "acc_norm_stderr": 0.022509345325101716 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.89, "acc_stderr": 0.03144660377352203, "acc_norm": 0.89, "acc_norm_stderr": 0.03144660377352203 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5421686746987951, "acc_stderr": 0.03878626771002361, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.03878626771002361 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8713450292397661, "acc_stderr": 0.025679342723276915, "acc_norm": 0.8713450292397661, "acc_norm_stderr": 0.025679342723276915 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4455324357405141, "mc1_stderr": 0.017399335280140354, "mc2": 0.6245089770845819, "mc2_stderr": 0.01502641583909722 }, "harness\|winogrande\|5": { "acc": 0.8050513022888713, "acc_stderr": 0.011134099415938278 }, "harness\|gsm8k\|5": { "acc": 0.5064442759666414, "acc_stderr": 0.013771340765699773 } } ``` ## 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 systems who originally created the data. 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.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. 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]

kaczmarj/wsinfer-model-zoo-json

--- license: cc-by-4.0 pretty_name: WSInfer Model Zoo Registry --- This is the registry of models in the WSInfer Model Zoo. See https://wsinfer.readthedocs.io/en/latest/ and https://github.com/SBU-BMI/wsinfer-zoo for more information.

Ujito/Mukozo

--- license: bigscience-openrail-m ---

alisson40889/ball

--- license: openrail ---

p1atdev/zozotown

--- license: cc0-1.0 ---

rai-sandeep/dataset_format

--- dataset_info: features: - name: task dtype: string - name: format dtype: string splits: - name: train num_bytes: 352 num_examples: 2 download_size: 2327 dataset_size: 352 --- # Dataset Card for "dataset_format" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

mHossain/final_train_v4_test_80000

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* 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: 5763784.5 num_examples: 18000 - name: test num_bytes: 640420.5 num_examples: 2000 download_size: 2785737 dataset_size: 6404205.0 --- # Dataset Card for "final_train_v4_test_80000" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ovior/twitter_dataset_1713124765

--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 2575033 num_examples: 8102 download_size: 1442038 dataset_size: 2575033 configs: - config_name: default data_files: - split: train path: data/train-* ---

Utkarsh55/guanaco-llama2-1k

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1654448 num_examples: 1000 download_size: 966694 dataset_size: 1654448 configs: - config_name: default data_files: - split: train path: data/train-* ---

Oztobuzz/Processed_Vi_ShareGPT4V

--- configs: - config_name: default data_files: - split: train path: data/*/train-* - config_name: start_from_000116069 data_files: - split: train path: data/start_from_000116069/train-* - config_name: start_from_000118857 data_files: - split: train path: data/start_from_000118857/train-* - config_name: start_from_000119137 data_files: - split: train path: data/start_from_000119137/train-* - config_name: start_from_000119739 data_files: - split: train path: data/start_from_000119739/train-* - config_name: start_from_000121745 data_files: - split: train path: data/start_from_000121745/train-* - config_name: start_from_000122687 data_files: - split: train path: data/start_from_000122687/train-* - config_name: start_from_000122959 data_files: - split: train path: data/start_from_000122959/train-* - config_name: start_from_000123104 data_files: - split: train path: data/start_from_000123104/train-* - config_name: start_from_000123658 data_files: - split: train path: data/start_from_000123658/train-* - config_name: start_from_000125179 data_files: - split: train path: data/start_from_000125179/train-* - config_name: start_from_000125996 data_files: - split: train path: data/start_from_000125996/train-* - config_name: start_from_000127429 data_files: - split: train path: data/start_from_000127429/train-* - config_name: start_from_000129186 data_files: - split: train path: data/start_from_000129186/train-* - config_name: start_from_000146766 data_files: - split: train path: data/start_from_000146766/train-* - config_name: start_from_000147346 data_files: - split: train path: data/start_from_000147346/train-* - config_name: start_from_000147919 data_files: - split: train path: data/start_from_000147919/train-* - config_name: start_from_000148568 data_files: - split: train path: data/start_from_000148568/train-* - config_name: start_from_000148869 data_files: - split: train path: data/start_from_000148869/train-* - config_name: start_from_000149819 data_files: - split: train path: data/start_from_000149819/train-* - config_name: start_from_000157150 data_files: - split: train path: data/start_from_000157150/train-* - config_name: start_from_000157834 data_files: - split: train path: data/start_from_000157834/train-* - config_name: start_from_000159178 data_files: - split: train path: data/start_from_000159178/train-* - config_name: start_from_000165035 data_files: - split: train path: data/start_from_000165035/train-* - config_name: start_from_000165093 data_files: - split: train path: data/start_from_000165093/train-* - config_name: start_from_000165799 data_files: - split: train path: data/start_from_000165799/train-* - config_name: start_from_000166028 data_files: - split: train path: data/start_from_000166028/train-* - config_name: start_from_000166620 data_files: - split: train path: data/start_from_000166620/train-* - config_name: start_from_000167861 data_files: - split: train path: data/start_from_000167861/train-* - config_name: start_from_000170275 data_files: - split: train path: data/start_from_000170275/train-* - config_name: start_from_000170846 data_files: - split: train path: data/start_from_000170846/train-* - config_name: start_from_000171526 data_files: - split: train path: data/start_from_000171526/train-* - config_name: start_from_000171927 data_files: - split: train path: data/start_from_000171927/train-* - config_name: start_from_000172463 data_files: - split: train path: data/start_from_000172463/train-* - config_name: start_from_000172839 data_files: - split: train path: data/start_from_000172839/train-* - config_name: start_from_000173282 data_files: - split: train path: data/start_from_000173282/train-* - config_name: start_from_000174034 data_files: - split: train path: data/start_from_000174034/train-* - config_name: start_from_000174960 data_files: - split: train path: data/start_from_000174960/train-* - config_name: start_from_000175388 data_files: - split: train path: data/start_from_000175388/train-* - config_name: start_from_000175987 data_files: - split: train path: data/start_from_000175987/train-* - config_name: start_from_000176475 data_files: - split: train path: data/start_from_000176475/train-* - config_name: start_from_000176986 data_files: - split: train path: data/start_from_000176986/train-* - config_name: start_from_000177287 data_files: - split: train path: data/start_from_000177287/train-* - config_name: start_from_000178012 data_files: - split: train path: data/start_from_000178012/train-* - config_name: start_from_000183715 data_files: - split: train path: data/start_from_000183715/train-* - config_name: start_from_000184954 data_files: - split: train path: data/start_from_000184954/train-* - config_name: start_from_000185912 data_files: - split: train path: data/start_from_000185912/train-* - config_name: start_from_000187200 data_files: - split: train path: data/start_from_000187200/train-* - config_name: start_from_000189391 data_files: - split: train path: data/start_from_000189391/train-* - config_name: start_from_000190047 data_files: - split: train path: data/start_from_000190047/train-* - config_name: start_from_000250724 data_files: - split: train path: data/start_from_000250724/train-* - config_name: start_from_000250766 data_files: - split: train path: data/start_from_000250766/train-* - config_name: start_from_03535a6be5d036d6 data_files: - split: train path: data/start_from_03535a6be5d036d6/train-* - config_name: start_from_2b3e5e8b672a73e7 data_files: - split: train path: data/start_from_2b3e5e8b672a73e7/train-* - config_name: start_from_5ff2daab3483a646 data_files: - split: train path: data/start_from_5ff2daab3483a646/train-* - config_name: start_from_9ce1fa0dff30e7d9 data_files: - split: train path: data/start_from_9ce1fa0dff30e7d9/train-* - config_name: start_from_Anthony_Hopkins data_files: - split: train path: data/start_from_Anthony_Hopkins/train-* - config_name: start_from_Elliot_Page data_files: - split: train path: data/start_from_Elliot_Page/train-* - config_name: start_from_aubrey-beardsley_no-5 data_files: - split: train path: data/start_from_aubrey-beardsley_no-5/train-* - config_name: start_from_genevieve-asse_ligne-rouge-ii-n-19-1984 data_files: - split: train path: data/start_from_genevieve-asse_ligne-rouge-ii-n-19-1984/train-* - config_name: start_from_john-henry-twachtman_the-portico data_files: - split: train path: data/start_from_john-henry-twachtman_the-portico/train-* - config_name: start_from_nicholas-roerich_spies-1900 data_files: - split: train path: data/start_from_nicholas-roerich_spies-1900/train-* - config_name: start_from_sa_2579 data_files: - split: train path: data/start_from_sa_2579/train-* - config_name: start_from_sa_2588 data_files: - split: train path: data/start_from_sa_2588/train-* - config_name: start_from_sa_2597 data_files: - split: train path: data/start_from_sa_2597/train-* - config_name: start_from_sa_26059 data_files: - split: train path: data/start_from_sa_26059/train-* - config_name: start_from_sa_2615 data_files: - split: train path: data/start_from_sa_2615/train-* - config_name: start_from_sa_2624 data_files: - split: train path: data/start_from_sa_2624/train-* - config_name: start_from_sa_2633 data_files: - split: train path: data/start_from_sa_2633/train-* - config_name: start_from_sa_2642 data_files: - split: train path: data/start_from_sa_2642/train-* - config_name: start_from_sa_2651 data_files: - split: train path: data/start_from_sa_2651/train-* - config_name: start_from_sa_2660 data_files: - split: train path: data/start_from_sa_2660/train-* - config_name: start_from_sa_26690 data_files: - split: train path: data/start_from_sa_26690/train-* - config_name: start_from_sa_27880 data_files: - split: train path: data/start_from_sa_27880/train-* dataset_info: - config_name: start_from_000116069 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 243750 num_examples: 100 download_size: 104130 dataset_size: 243750 - config_name: start_from_000118857 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 264039 num_examples: 100 download_size: 116699 dataset_size: 264039 - config_name: start_from_000119137 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 245729 num_examples: 100 download_size: 107775 dataset_size: 245729 - config_name: start_from_000119739 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 266007 num_examples: 100 download_size: 111382 dataset_size: 266007 - config_name: start_from_000121745 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 276381 num_examples: 100 download_size: 110925 dataset_size: 276381 - config_name: start_from_000122687 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 240984 num_examples: 100 download_size: 103289 dataset_size: 240984 - config_name: start_from_000122959 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 235845 num_examples: 100 download_size: 101022 dataset_size: 235845 - config_name: start_from_000123104 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 240498 num_examples: 100 download_size: 105487 dataset_size: 240498 - config_name: start_from_000123658 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 282765 num_examples: 100 download_size: 116701 dataset_size: 282765 - config_name: start_from_000125179 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 267968 num_examples: 100 download_size: 108663 dataset_size: 267968 - config_name: start_from_000125996 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 239475 num_examples: 100 download_size: 106381 dataset_size: 239475 - config_name: start_from_000127429 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 262902 num_examples: 100 download_size: 106254 dataset_size: 262902 - config_name: start_from_000129186 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 255955 num_examples: 100 download_size: 109381 dataset_size: 255955 - config_name: start_from_000146766 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 252468 num_examples: 100 download_size: 121248 dataset_size: 252468 - config_name: start_from_000147346 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 249161 num_examples: 100 download_size: 119582 dataset_size: 249161 - config_name: start_from_000147919 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 263790 num_examples: 100 download_size: 124679 dataset_size: 263790 - config_name: start_from_000148568 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 232832 num_examples: 100 download_size: 104669 dataset_size: 232832 - config_name: start_from_000148869 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 239642 num_examples: 100 download_size: 112592 dataset_size: 239642 - config_name: start_from_000149819 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 252170 num_examples: 100 download_size: 121519 dataset_size: 252170 - config_name: start_from_000157150 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 263540 num_examples: 100 download_size: 123396 dataset_size: 263540 - config_name: start_from_000157834 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 236072 num_examples: 100 download_size: 112569 dataset_size: 236072 - config_name: start_from_000159178 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 234745 num_examples: 100 download_size: 106931 dataset_size: 234745 - config_name: start_from_000165035 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 45010 num_examples: 10 download_size: 21035 dataset_size: 45010 - config_name: start_from_000165093 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 429536 num_examples: 170 download_size: 184772 dataset_size: 429536 - config_name: start_from_000165799 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 198854 num_examples: 80 download_size: 91717 dataset_size: 198854 - config_name: start_from_000166028 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 232523 num_examples: 100 download_size: 108358 dataset_size: 232523 - config_name: start_from_000166620 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 288952 num_examples: 120 download_size: 137851 dataset_size: 288952 - config_name: start_from_000167861 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 255546 num_examples: 100 download_size: 121945 dataset_size: 255546 - config_name: start_from_000170275 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 221779 num_examples: 90 download_size: 108722 dataset_size: 221779 - config_name: start_from_000170846 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 242958 num_examples: 100 download_size: 116596 dataset_size: 242958 - config_name: start_from_000171526 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 240000 num_examples: 90 download_size: 113290 dataset_size: 240000 - config_name: start_from_000171927 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 243902 num_examples: 100 download_size: 113859 dataset_size: 243902 - config_name: start_from_000172463 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 246350 num_examples: 100 download_size: 111720 dataset_size: 246350 - config_name: start_from_000172839 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 279410 num_examples: 100 download_size: 123160 dataset_size: 279410 - config_name: start_from_000173282 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 242536 num_examples: 100 download_size: 117444 dataset_size: 242536 - config_name: start_from_000174034 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 257173 num_examples: 100 download_size: 128240 dataset_size: 257173 - config_name: start_from_000174960 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 243259 num_examples: 100 download_size: 113355 dataset_size: 243259 - config_name: start_from_000175388 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 259422 num_examples: 100 download_size: 122097 dataset_size: 259422 - config_name: start_from_000175987 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 260078 num_examples: 100 download_size: 122560 dataset_size: 260078 - config_name: start_from_000176475 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 231039 num_examples: 100 download_size: 110576 dataset_size: 231039 - config_name: start_from_000176986 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 256685 num_examples: 100 download_size: 111944 dataset_size: 256685 - config_name: start_from_000177287 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 232815 num_examples: 90 download_size: 110404 dataset_size: 232815 - config_name: start_from_000178012 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 240582 num_examples: 100 download_size: 114430 dataset_size: 240582 - config_name: start_from_000183715 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 176781 num_examples: 70 download_size: 87151 dataset_size: 176781 - config_name: start_from_000184954 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 282268 num_examples: 100 download_size: 128525 dataset_size: 282268 - config_name: start_from_000185912 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 246783 num_examples: 100 download_size: 115577 dataset_size: 246783 - config_name: start_from_000187200 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 238008 num_examples: 100 download_size: 111506 dataset_size: 238008 - config_name: start_from_000189391 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 273394 num_examples: 100 download_size: 119663 dataset_size: 273394 - config_name: start_from_000190047 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 235959 num_examples: 100 download_size: 110859 dataset_size: 235959 - config_name: start_from_000250724 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 28019 num_examples: 10 download_size: 19541 dataset_size: 28019 - config_name: start_from_000250766 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 266178 num_examples: 100 download_size: 125285 dataset_size: 266178 - config_name: start_from_03535a6be5d036d6 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 182476 num_examples: 100 download_size: 96673 dataset_size: 182476 - config_name: start_from_2b3e5e8b672a73e7 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 175073 num_examples: 100 download_size: 92430 dataset_size: 175073 - config_name: start_from_5ff2daab3483a646 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 180098 num_examples: 100 download_size: 97530 dataset_size: 180098 - config_name: start_from_9ce1fa0dff30e7d9 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 307568 num_examples: 190 download_size: 157394 dataset_size: 307568 - config_name: start_from_Anthony_Hopkins features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 159992 num_examples: 100 download_size: 75083 dataset_size: 159992 - config_name: start_from_Elliot_Page features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 159272 num_examples: 100 download_size: 77060 dataset_size: 159272 - config_name: start_from_aubrey-beardsley_no-5 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 182276 num_examples: 80 download_size: 89561 dataset_size: 182276 - config_name: start_from_genevieve-asse_ligne-rouge-ii-n-19-1984 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 185464 num_examples: 80 download_size: 92888 dataset_size: 185464 - config_name: start_from_john-henry-twachtman_the-portico features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 220199 num_examples: 100 download_size: 107660 dataset_size: 220199 - config_name: start_from_nicholas-roerich_spies-1900 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 249645 num_examples: 120 download_size: 118765 dataset_size: 249645 - config_name: start_from_sa_2579 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 281870 num_examples: 100 download_size: 133946 dataset_size: 281870 - config_name: start_from_sa_2588 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 279637 num_examples: 100 download_size: 128572 dataset_size: 279637 - config_name: start_from_sa_2597 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 250879 num_examples: 100 download_size: 123618 dataset_size: 250879 - config_name: start_from_sa_26059 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 258299 num_examples: 100 download_size: 128958 dataset_size: 258299 - config_name: start_from_sa_2615 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 257741 num_examples: 100 download_size: 127220 dataset_size: 257741 - config_name: start_from_sa_2624 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 256906 num_examples: 100 download_size: 128616 dataset_size: 256906 - config_name: start_from_sa_2633 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 251630 num_examples: 100 download_size: 125363 dataset_size: 251630 - config_name: start_from_sa_2642 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 258196 num_examples: 100 download_size: 128446 dataset_size: 258196 - config_name: start_from_sa_2651 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 265535 num_examples: 100 download_size: 129999 dataset_size: 265535 - config_name: start_from_sa_2660 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 261595 num_examples: 100 download_size: 129352 dataset_size: 261595 - config_name: start_from_sa_26690 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 253819 num_examples: 100 download_size: 124359 dataset_size: 253819 - config_name: start_from_sa_27880 features: - name: id dtype: string - name: image dtype: string - name: en_conversations list: - name: from dtype: string - name: value dtype: string - name: vi_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 233949 num_examples: 100 download_size: 106162 dataset_size: 233949 ---

open-llm-leaderboard/details_TeeZee__DarkSapling-7B-v1.0

--- pretty_name: Evaluation run of TeeZee/DarkSapling-7B-v1.0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TeeZee/DarkSapling-7B-v1.0](https://huggingface.co/TeeZee/DarkSapling-7B-v1.0)\ \ 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_TeeZee__DarkSapling-7B-v1.0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-10T01:29:46.397110](https://huggingface.co/datasets/open-llm-leaderboard/details_TeeZee__DarkSapling-7B-v1.0/blob/main/results_2024-02-10T01-29-46.397110.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\": 0.6228272261948034,\n\ \ \"acc_stderr\": 0.032723127441021765,\n \"acc_norm\": 0.6278792920359817,\n\ \ \"acc_norm_stderr\": 0.03338301615189635,\n \"mc1\": 0.2998776009791922,\n\ \ \"mc1_stderr\": 0.016040352966713627,\n \"mc2\": 0.45088578827366993,\n\ \ \"mc2_stderr\": 0.01466973973064534\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5861774744027304,\n \"acc_stderr\": 0.014392730009221007,\n\ \ \"acc_norm\": 0.6160409556313993,\n \"acc_norm_stderr\": 0.01421244498065189\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6296554471220872,\n\ \ \"acc_stderr\": 0.004819100456867812,\n \"acc_norm\": 0.8259310894244174,\n\ \ \"acc_norm_stderr\": 0.0037839381501516165\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384741,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.04461960433384741\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\": 0.6513157894736842,\n \"acc_stderr\": 0.038781398887976104,\n\ \ \"acc_norm\": 0.6513157894736842,\n \"acc_norm_stderr\": 0.038781398887976104\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"acc_norm_stderr\"\ : 0.05\n },\n \"harness|hendrycksTest-clinical_knowledge|5\": {\n \"\ acc\": 0.6566037735849056,\n \"acc_stderr\": 0.02922452646912479,\n \ \ \"acc_norm\": 0.6566037735849056,\n \"acc_norm_stderr\": 0.02922452646912479\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7083333333333334,\n\ \ \"acc_stderr\": 0.038009680605548594,\n \"acc_norm\": 0.7083333333333334,\n\ \ \"acc_norm_stderr\": 0.038009680605548594\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \ \ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.54,\n\ \ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6127167630057804,\n\ \ \"acc_stderr\": 0.03714325906302065,\n \"acc_norm\": 0.6127167630057804,\n\ \ \"acc_norm_stderr\": 0.03714325906302065\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\":\ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5361702127659574,\n \"acc_stderr\": 0.03260038511835771,\n\ \ \"acc_norm\": 0.5361702127659574,\n \"acc_norm_stderr\": 0.03260038511835771\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5263157894736842,\n\ \ \"acc_stderr\": 0.04697085136647861,\n \"acc_norm\": 0.5263157894736842,\n\ \ \"acc_norm_stderr\": 0.04697085136647861\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878151,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878151\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42857142857142855,\n \"acc_stderr\": 0.02548718714785938,\n \"\ acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.02548718714785938\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\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7580645161290323,\n\ \ \"acc_stderr\": 0.024362599693031096,\n \"acc_norm\": 0.7580645161290323,\n\ \ \"acc_norm_stderr\": 0.024362599693031096\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n\ \ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\"\ : 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267052,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267052\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8393782383419689,\n \"acc_stderr\": 0.026499057701397443,\n\ \ \"acc_norm\": 0.8393782383419689,\n \"acc_norm_stderr\": 0.026499057701397443\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6307692307692307,\n \"acc_stderr\": 0.02446861524147893,\n \ \ \"acc_norm\": 0.6307692307692307,\n \"acc_norm_stderr\": 0.02446861524147893\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3037037037037037,\n \"acc_stderr\": 0.028037929969114986,\n \ \ \"acc_norm\": 0.3037037037037037,\n \"acc_norm_stderr\": 0.028037929969114986\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6638655462184874,\n \"acc_stderr\": 0.030684737115135363,\n\ \ \"acc_norm\": 0.6638655462184874,\n \"acc_norm_stderr\": 0.030684737115135363\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.36423841059602646,\n \"acc_stderr\": 0.03929111781242741,\n \"\ acc_norm\": 0.36423841059602646,\n \"acc_norm_stderr\": 0.03929111781242741\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7963302752293578,\n \"acc_stderr\": 0.01726674208763079,\n \"\ acc_norm\": 0.7963302752293578,\n \"acc_norm_stderr\": 0.01726674208763079\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5092592592592593,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.5092592592592593,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7647058823529411,\n \"acc_stderr\": 0.029771775228145628,\n \"\ acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.029771775228145628\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.759493670886076,\n \"acc_stderr\": 0.027820781981149685,\n \ \ \"acc_norm\": 0.759493670886076,\n \"acc_norm_stderr\": 0.027820781981149685\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6816143497757847,\n\ \ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\ \ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7404580152671756,\n \"acc_stderr\": 0.03844876139785271,\n\ \ \"acc_norm\": 0.7404580152671756,\n \"acc_norm_stderr\": 0.03844876139785271\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.036401182719909456,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.036401182719909456\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.0401910747255735,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.0401910747255735\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.803680981595092,\n \"acc_stderr\": 0.031207970394709218,\n\ \ \"acc_norm\": 0.803680981595092,\n \"acc_norm_stderr\": 0.031207970394709218\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5089285714285714,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\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\": 0.8547008547008547,\n\ \ \"acc_stderr\": 0.023086635086841407,\n \"acc_norm\": 0.8547008547008547,\n\ \ \"acc_norm_stderr\": 0.023086635086841407\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8058748403575989,\n\ \ \"acc_stderr\": 0.01414397027665757,\n \"acc_norm\": 0.8058748403575989,\n\ \ \"acc_norm_stderr\": 0.01414397027665757\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6647398843930635,\n \"acc_stderr\": 0.025416003773165545,\n\ \ \"acc_norm\": 0.6647398843930635,\n \"acc_norm_stderr\": 0.025416003773165545\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.37206703910614525,\n\ \ \"acc_stderr\": 0.016165847583563295,\n \"acc_norm\": 0.37206703910614525,\n\ \ \"acc_norm_stderr\": 0.016165847583563295\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7418300653594772,\n \"acc_stderr\": 0.025058503316958147,\n\ \ \"acc_norm\": 0.7418300653594772,\n \"acc_norm_stderr\": 0.025058503316958147\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6913183279742765,\n\ \ \"acc_stderr\": 0.026236965881153266,\n \"acc_norm\": 0.6913183279742765,\n\ \ \"acc_norm_stderr\": 0.026236965881153266\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7067901234567902,\n \"acc_stderr\": 0.025329888171900922,\n\ \ \"acc_norm\": 0.7067901234567902,\n \"acc_norm_stderr\": 0.025329888171900922\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\": 0.42894393741851367,\n\ \ \"acc_stderr\": 0.012640625443067356,\n \"acc_norm\": 0.42894393741851367,\n\ \ \"acc_norm_stderr\": 0.012640625443067356\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6433823529411765,\n \"acc_stderr\": 0.029097209568411952,\n\ \ \"acc_norm\": 0.6433823529411765,\n \"acc_norm_stderr\": 0.029097209568411952\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6405228758169934,\n \"acc_stderr\": 0.019412539242032165,\n \ \ \"acc_norm\": 0.6405228758169934,\n \"acc_norm_stderr\": 0.019412539242032165\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ \ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8109452736318408,\n\ \ \"acc_stderr\": 0.02768691358801301,\n \"acc_norm\": 0.8109452736318408,\n\ \ \"acc_norm_stderr\": 0.02768691358801301\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.034873508801977704,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.034873508801977704\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5481927710843374,\n\ \ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.5481927710843374,\n\ \ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.027966785859160893,\n\ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.027966785859160893\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2998776009791922,\n\ \ \"mc1_stderr\": 0.016040352966713627,\n \"mc2\": 0.45088578827366993,\n\ \ \"mc2_stderr\": 0.01466973973064534\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7719021310181531,\n \"acc_stderr\": 0.011793015817663592\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.40181956027293403,\n \ \ \"acc_stderr\": 0.013504357787494032\n }\n}\n```" repo_url: https://huggingface.co/TeeZee/DarkSapling-7B-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: 2024_02_10T01_29_46.397110 path: - '**/details_harness|arc:challenge|25_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-10T01-29-46.397110.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|gsm8k|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hellaswag|10_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-10T01-29-46.397110.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-management|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T01-29-46.397110.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|truthfulqa:mc|0_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-10T01-29-46.397110.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_10T01_29_46.397110 path: - '**/details_harness|winogrande|5_2024-02-10T01-29-46.397110.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-10T01-29-46.397110.parquet' - config_name: results data_files: - split: 2024_02_10T01_29_46.397110 path: - results_2024-02-10T01-29-46.397110.parquet - split: latest path: - results_2024-02-10T01-29-46.397110.parquet --- # Dataset Card for Evaluation run of TeeZee/DarkSapling-7B-v1.0  Dataset automatically created during the evaluation run of model [TeeZee/DarkSapling-7B-v1.0](https://huggingface.co/TeeZee/DarkSapling-7B-v1.0) 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_TeeZee__DarkSapling-7B-v1.0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-10T01:29:46.397110](https://huggingface.co/datasets/open-llm-leaderboard/details_TeeZee__DarkSapling-7B-v1.0/blob/main/results_2024-02-10T01-29-46.397110.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": 0.6228272261948034, "acc_stderr": 0.032723127441021765, "acc_norm": 0.6278792920359817, "acc_norm_stderr": 0.03338301615189635, "mc1": 0.2998776009791922, "mc1_stderr": 0.016040352966713627, "mc2": 0.45088578827366993, "mc2_stderr": 0.01466973973064534 }, "harness|arc:challenge|25": { "acc": 0.5861774744027304, "acc_stderr": 0.014392730009221007, "acc_norm": 0.6160409556313993, "acc_norm_stderr": 0.01421244498065189 }, "harness|hellaswag|10": { "acc": 0.6296554471220872, "acc_stderr": 0.004819100456867812, "acc_norm": 0.8259310894244174, "acc_norm_stderr": 0.0037839381501516165 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "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": 0.6513157894736842, "acc_stderr": 0.038781398887976104, "acc_norm": 0.6513157894736842, "acc_norm_stderr": 0.038781398887976104 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6566037735849056, "acc_stderr": 0.02922452646912479, "acc_norm": 0.6566037735849056, "acc_norm_stderr": 0.02922452646912479 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7083333333333334, "acc_stderr": 0.038009680605548594, "acc_norm": 0.7083333333333334, "acc_norm_stderr": 0.038009680605548594 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6127167630057804, "acc_stderr": 0.03714325906302065, "acc_norm": 0.6127167630057804, "acc_norm_stderr": 0.03714325906302065 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5361702127659574, "acc_stderr": 0.03260038511835771, "acc_norm": 0.5361702127659574, "acc_norm_stderr": 0.03260038511835771 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5263157894736842, "acc_stderr": 0.04697085136647861, "acc_norm": 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"acc": 0.6307692307692307, "acc_stderr": 0.02446861524147893, "acc_norm": 0.6307692307692307, "acc_norm_stderr": 0.02446861524147893 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3037037037037037, "acc_stderr": 0.028037929969114986, "acc_norm": 0.3037037037037037, "acc_norm_stderr": 0.028037929969114986 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6638655462184874, "acc_stderr": 0.030684737115135363, "acc_norm": 0.6638655462184874, "acc_norm_stderr": 0.030684737115135363 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.36423841059602646, "acc_stderr": 0.03929111781242741, "acc_norm": 0.36423841059602646, "acc_norm_stderr": 0.03929111781242741 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7963302752293578, "acc_stderr": 0.01726674208763079, "acc_norm": 0.7963302752293578, "acc_norm_stderr": 0.01726674208763079 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5092592592592593, "acc_stderr": 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0.036401182719909456 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7777777777777778, "acc_stderr": 0.0401910747255735, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.0401910747255735 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.803680981595092, "acc_stderr": 0.031207970394709218, "acc_norm": 0.803680981595092, "acc_norm_stderr": 0.031207970394709218 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5089285714285714, "acc_stderr": 0.04745033255489123, "acc_norm": 0.5089285714285714, "acc_norm_stderr": 0.04745033255489123 }, "harness|hendrycksTest-management|5": { "acc": 0.7475728155339806, "acc_stderr": 0.04301250399690878, "acc_norm": 0.7475728155339806, "acc_norm_stderr": 0.04301250399690878 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8547008547008547, "acc_stderr": 0.023086635086841407, "acc_norm": 0.8547008547008547, "acc_norm_stderr": 0.023086635086841407 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8058748403575989, "acc_stderr": 0.01414397027665757, "acc_norm": 0.8058748403575989, "acc_norm_stderr": 0.01414397027665757 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6647398843930635, "acc_stderr": 0.025416003773165545, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.025416003773165545 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.37206703910614525, "acc_stderr": 0.016165847583563295, "acc_norm": 0.37206703910614525, "acc_norm_stderr": 0.016165847583563295 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7418300653594772, "acc_stderr": 0.025058503316958147, "acc_norm": 0.7418300653594772, "acc_norm_stderr": 0.025058503316958147 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6913183279742765, "acc_stderr": 0.026236965881153266, "acc_norm": 0.6913183279742765, "acc_norm_stderr": 0.026236965881153266 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7067901234567902, "acc_stderr": 0.025329888171900922, "acc_norm": 0.7067901234567902, "acc_norm_stderr": 0.025329888171900922 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4858156028368794, "acc_stderr": 0.02981549448368206, "acc_norm": 0.4858156028368794, "acc_norm_stderr": 0.02981549448368206 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.42894393741851367, "acc_stderr": 0.012640625443067356, "acc_norm": 0.42894393741851367, "acc_norm_stderr": 0.012640625443067356 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6433823529411765, "acc_stderr": 0.029097209568411952, "acc_norm": 0.6433823529411765, "acc_norm_stderr": 0.029097209568411952 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6405228758169934, "acc_stderr": 0.019412539242032165, "acc_norm": 0.6405228758169934, "acc_norm_stderr": 0.019412539242032165 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7306122448979592, "acc_stderr": 0.02840125202902294, "acc_norm": 0.7306122448979592, "acc_norm_stderr": 0.02840125202902294 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8109452736318408, "acc_stderr": 0.02768691358801301, "acc_norm": 0.8109452736318408, "acc_norm_stderr": 0.02768691358801301 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.86, "acc_stderr": 0.034873508801977704, "acc_norm": 0.86, "acc_norm_stderr": 0.034873508801977704 }, "harness|hendrycksTest-virology|5": { "acc": 0.5481927710843374, "acc_stderr": 0.03874371556587953, "acc_norm": 0.5481927710843374, "acc_norm_stderr": 0.03874371556587953 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8421052631578947, "acc_stderr": 0.027966785859160893, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.027966785859160893 }, "harness|truthfulqa:mc|0": { "mc1": 0.2998776009791922, "mc1_stderr": 0.016040352966713627, "mc2": 0.45088578827366993, "mc2_stderr": 0.01466973973064534 }, "harness|winogrande|5": { "acc": 0.7719021310181531, "acc_stderr": 0.011793015817663592 }, "harness|gsm8k|5": { "acc": 0.40181956027293403, "acc_stderr": 0.013504357787494032 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More 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[More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

irds/nyt_wksup

--- pretty_name: '`nyt/wksup`' viewer: false source_datasets: ['irds/nyt'] task_categories: - text-retrieval --- # Dataset Card for `nyt/wksup` The `nyt/wksup` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/nyt#nyt/wksup). # Data This dataset provides: - `queries` (i.e., topics); count=1,864,661 - `qrels`: (relevance assessments); count=1,864,661 - For `docs`, use [`irds/nyt`](https://huggingface.co/datasets/irds/nyt) ## Usage ```python from datasets import load_dataset queries = load_dataset('irds/nyt_wksup', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} qrels = load_dataset('irds/nyt_wksup', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ...} ``` Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format. ## Citation Information ``` @inproceedings{MacAvaney2019Wksup, author = {MacAvaney, Sean and Yates, Andrew and Hui, Kai and Frieder, Ophir}, title = {Content-Based Weak Supervision for Ad-Hoc Re-Ranking}, booktitle = {SIGIR}, year = {2019} } @article{Sandhaus2008Nyt, title={The new york times annotated corpus}, author={Sandhaus, Evan}, journal={Linguistic Data Consortium, Philadelphia}, volume={6}, number={12}, pages={e26752}, year={2008} } ```

open-llm-leaderboard/details_tiiuae__falcon-180B

--- pretty_name: Evaluation run of tiiuae/falcon-180B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [tiiuae/falcon-180B](https://huggingface.co/tiiuae/falcon-180B) on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 66 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 32 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_tiiuae__falcon-180B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-24T10:17:51.759984](https://huggingface.co/datasets/open-llm-leaderboard/details_tiiuae__falcon-180B/blob/main/results_2023-10-24T10-17-51.759984.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\": 0.0028313758389261743,\n\ \ \"em_stderr\": 0.0005441551135493806,\n \"f1\": 0.06573301174496615,\n\ \ \"f1_stderr\": 0.0013666874377791776,\n \"acc\": 0.6642104078991223,\n\ \ \"acc_stderr\": 0.011605139145295384\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.0028313758389261743,\n \"em_stderr\": 0.0005441551135493806,\n\ \ \"f1\": 0.06573301174496615,\n \"f1_stderr\": 0.0013666874377791776\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.45943896891584535,\n \ \ \"acc_stderr\": 0.01372709301042978\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8689818468823993,\n \"acc_stderr\": 0.009483185280160986\n\ \ }\n}\n```" repo_url: https://huggingface.co/tiiuae/falcon-180B 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_30T14_31_39.488381 path: - '**/details_harness|arc:challenge|25_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|arc:challenge|25_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|arc:challenge|25_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|arc:challenge|25_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|arc:challenge|25_2023-09-01T15:12:02.263774.parquet' - split: 2023_09_25T09_30_46.601936 path: - '**/details_harness|arc:challenge|25_2023-09-25T09-30-46.601936.parquet' - split: 2023_09_25T09_42_43.006060 path: - '**/details_harness|arc:challenge|25_2023-09-25T09-42-43.006060.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-25T09-42-43.006060.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_23T17_29_05.444286 path: - '**/details_harness|drop|3_2023-10-23T17-29-05.444286.parquet' - split: 2023_10_24T10_17_51.759984 path: - '**/details_harness|drop|3_2023-10-24T10-17-51.759984.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-24T10-17-51.759984.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_23T17_29_05.444286 path: - '**/details_harness|gsm8k|5_2023-10-23T17-29-05.444286.parquet' - split: 2023_10_24T10_17_51.759984 path: - '**/details_harness|gsm8k|5_2023-10-24T10-17-51.759984.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-24T10-17-51.759984.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hellaswag|10_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hellaswag|10_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hellaswag|10_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hellaswag|10_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hellaswag|10_2023-09-01T15:12:02.263774.parquet' - split: 2023_09_25T11_16_10.146827 path: - '**/details_harness|hellaswag|10_2023-09-25T11-16-10.146827.parquet' - split: 2023_09_25T11_28_53.879118 path: - '**/details_harness|hellaswag|10_2023-09-25T11-28-53.879118.parquet' - split: 2023_09_25T13_20_00.898508 path: - '**/details_harness|hellaswag|10_2023-09-25T13-20-00.898508.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-25T13-20-00.898508.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-30T14:31:39.488381.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-30T14:31:39.488381.parquet' - 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'**/details_harness|hendrycksTest-professional_law|5_2023-08-31T01:32:36.577851.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-31T01:32:36.577851.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-31T01:32:36.577851.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-31T01:32:36.577851.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-31T01:32:36.577851.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-31T01:32:36.577851.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-31T01:32:36.577851.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-31T01:32:36.577851.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-31T12:44:38.148712.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-01T15:12:02.263774.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-management|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-management|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-management|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-management|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-management|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-01T15:12:02.263774.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-01T15:12:02.263774.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_30T14_31_39.488381 path: - '**/details_harness|truthfulqa:mc|0_2023-08-30T14:31:39.488381.parquet' - split: 2023_08_30T19_27_57.090829 path: - '**/details_harness|truthfulqa:mc|0_2023-08-30T19:27:57.090829.parquet' - split: 2023_08_31T01_32_36.577851 path: - '**/details_harness|truthfulqa:mc|0_2023-08-31T01:32:36.577851.parquet' - split: 2023_08_31T12_44_38.148712 path: - '**/details_harness|truthfulqa:mc|0_2023-08-31T12:44:38.148712.parquet' - split: 2023_09_01T15_12_02.263774 path: - '**/details_harness|truthfulqa:mc|0_2023-09-01T15:12:02.263774.parquet' - split: 2023_09_25T09_49_01.514206 path: - '**/details_harness|truthfulqa:mc|0_2023-09-25T09-49-01.514206.parquet' - split: 2023_09_25T09_57_43.547983 path: - '**/details_harness|truthfulqa:mc|0_2023-09-25T09-57-43.547983.parquet' - split: 2023_09_25T10_06_12.822356 path: - '**/details_harness|truthfulqa:mc|0_2023-09-25T10-06-12.822356.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-25T10-06-12.822356.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_23T17_29_05.444286 path: - '**/details_harness|winogrande|5_2023-10-23T17-29-05.444286.parquet' - split: 2023_10_24T10_17_51.759984 path: - '**/details_harness|winogrande|5_2023-10-24T10-17-51.759984.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-24T10-17-51.759984.parquet' - config_name: original_mmlu_5 data_files: - split: 2023_09_21T14_54_28.631498 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-21T14-54-28.631498.parquet' - split: 2023_09_21T15_14_19.361952 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-21T15-14-19.361952.parquet' - split: 2023_09_22T15_08_20.868776 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T15-08-20.868776.parquet' - split: 2023_09_22T15_09_58.434868 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T15-09-58.434868.parquet' - split: 2023_09_22T15_40_03.532661 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T15-40-03.532661.parquet' - split: 2023_09_22T19_13_36.680152 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T19-13-36.680152.parquet' - split: 2023_09_22T19_25_51.687929 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T19-25-51.687929.parquet' - split: 2023_09_22T19_38_30.055713 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T19-38-30.055713.parquet' - split: 2023_09_22T19_56_14.188877 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T19-56-14.188877.parquet' - split: 2023_09_22T20_44_00.745184 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T20-44-00.745184.parquet' - split: 2023_09_22T21_16_36.510313 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T21-16-36.510313.parquet' - split: 2023_09_22T21_30_38.663736 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T21-30-38.663736.parquet' - split: 2023_09_22T21_39_07.387549 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T21-39-07.387549.parquet' - split: 2023_09_22T21_46_48.392874 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T21-46-48.392874.parquet' - split: 2023_09_22T22_06_13.624503 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T22-06-13.624503.parquet' - split: 2023_09_22T22_21_06.865348 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T22-21-06.865348.parquet' - split: 2023_09_23T09_44_24.946036 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-23T09-44-24.946036.parquet' - split: latest path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-23T09-44-24.946036.parquet' - config_name: original_mmlu_high_school_government_and_politics_5 data_files: - split: 2023_09_21T14_54_28.631498 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-21T14-54-28.631498.parquet' - split: 2023_09_21T15_14_19.361952 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-21T15-14-19.361952.parquet' - split: 2023_09_22T15_08_20.868776 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T15-08-20.868776.parquet' - split: 2023_09_22T15_09_58.434868 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T15-09-58.434868.parquet' - split: 2023_09_22T15_40_03.532661 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T15-40-03.532661.parquet' - split: 2023_09_22T19_13_36.680152 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T19-13-36.680152.parquet' - split: 2023_09_22T19_25_51.687929 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T19-25-51.687929.parquet' - split: 2023_09_22T19_38_30.055713 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T19-38-30.055713.parquet' - split: 2023_09_22T19_56_14.188877 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T19-56-14.188877.parquet' - split: 2023_09_22T20_44_00.745184 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T20-44-00.745184.parquet' - split: 2023_09_22T21_16_36.510313 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T21-16-36.510313.parquet' - split: 2023_09_22T21_30_38.663736 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T21-30-38.663736.parquet' - split: 2023_09_22T21_39_07.387549 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T21-39-07.387549.parquet' - split: 2023_09_22T21_46_48.392874 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T21-46-48.392874.parquet' - split: 2023_09_22T22_06_13.624503 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T22-06-13.624503.parquet' - split: 2023_09_22T22_21_06.865348 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-22T22-21-06.865348.parquet' - split: 2023_09_23T09_44_24.946036 path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-23T09-44-24.946036.parquet' - split: latest path: - '**/details_original|mmlu:high_school_government_and_politics|5_2023-09-23T09-44-24.946036.parquet' - config_name: results data_files: - split: 2023_09_21T14_54_28.631498 path: - results_2023-09-21T14-54-28.631498.parquet - split: 2023_09_21T15_14_19.361952 path: - results_2023-09-21T15-14-19.361952.parquet - split: 2023_09_22T15_08_20.868776 path: - results_2023-09-22T15-08-20.868776.parquet - split: 2023_09_22T15_09_58.434868 path: - results_2023-09-22T15-09-58.434868.parquet - split: 2023_09_22T15_40_03.532661 path: - results_2023-09-22T15-40-03.532661.parquet - split: 2023_09_22T19_13_36.680152 path: - results_2023-09-22T19-13-36.680152.parquet - split: 2023_09_22T19_25_51.687929 path: - results_2023-09-22T19-25-51.687929.parquet - split: 2023_09_22T19_38_30.055713 path: - results_2023-09-22T19-38-30.055713.parquet - split: 2023_09_22T19_56_14.188877 path: - results_2023-09-22T19-56-14.188877.parquet - split: 2023_09_22T20_44_00.745184 path: - results_2023-09-22T20-44-00.745184.parquet - split: 2023_09_22T21_16_36.510313 path: - results_2023-09-22T21-16-36.510313.parquet - split: 2023_09_22T21_30_38.663736 path: - results_2023-09-22T21-30-38.663736.parquet - split: 2023_09_22T21_39_07.387549 path: - results_2023-09-22T21-39-07.387549.parquet - split: 2023_09_22T21_46_48.392874 path: - results_2023-09-22T21-46-48.392874.parquet - split: 2023_09_22T22_06_13.624503 path: - results_2023-09-22T22-06-13.624503.parquet - split: 2023_09_22T22_21_06.865348 path: - results_2023-09-22T22-21-06.865348.parquet - split: 2023_09_23T09_44_24.946036 path: - results_2023-09-23T09-44-24.946036.parquet - split: 2023_09_25T09_30_46.601936 path: - results_2023-09-25T09-30-46.601936.parquet - split: 2023_09_25T09_42_43.006060 path: - results_2023-09-25T09-42-43.006060.parquet - split: 2023_09_25T09_49_01.514206 path: - results_2023-09-25T09-49-01.514206.parquet - split: 2023_09_25T09_57_43.547983 path: - results_2023-09-25T09-57-43.547983.parquet - split: 2023_09_25T10_06_12.822356 path: - results_2023-09-25T10-06-12.822356.parquet - split: 2023_09_25T11_16_10.146827 path: - results_2023-09-25T11-16-10.146827.parquet - split: 2023_09_25T11_28_53.879118 path: - results_2023-09-25T11-28-53.879118.parquet - split: 2023_09_25T13_20_00.898508 path: - results_2023-09-25T13-20-00.898508.parquet - split: 2023_10_23T17_29_05.444286 path: - results_2023-10-23T17-29-05.444286.parquet - split: 2023_10_24T10_17_51.759984 path: - results_2023-10-24T10-17-51.759984.parquet - split: latest path: - results_2023-10-24T10-17-51.759984.parquet --- # Dataset Card for Evaluation run of tiiuae/falcon-180B ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/tiiuae/falcon-180B - **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 [tiiuae/falcon-180B](https://huggingface.co/tiiuae/falcon-180B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 66 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 32 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_tiiuae__falcon-180B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-24T10:17:51.759984](https://huggingface.co/datasets/open-llm-leaderboard/details_tiiuae__falcon-180B/blob/main/results_2023-10-24T10-17-51.759984.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": 0.0028313758389261743, "em_stderr": 0.0005441551135493806, "f1": 0.06573301174496615, "f1_stderr": 0.0013666874377791776, "acc": 0.6642104078991223, "acc_stderr": 0.011605139145295384 }, "harness|drop|3": { "em": 0.0028313758389261743, "em_stderr": 0.0005441551135493806, "f1": 0.06573301174496615, "f1_stderr": 0.0013666874377791776 }, "harness|gsm8k|5": { "acc": 0.45943896891584535, "acc_stderr": 0.01372709301042978 }, "harness|winogrande|5": { "acc": 0.8689818468823993, "acc_stderr": 0.009483185280160986 } } ``` ### 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]

Wanfq/KCA_data

--- license: cc-by-nc-4.0 language: - en ---

open-llm-leaderboard/details_Zardos__Kant-Test-0.1-Mistral-7B

--- pretty_name: Evaluation run of Zardos/Kant-Test-0.1-Mistral-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Zardos/Kant-Test-0.1-Mistral-7B](https://huggingface.co/Zardos/Kant-Test-0.1-Mistral-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 3 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_Zardos__Kant-Test-0.1-Mistral-7B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-10T11:05:46.345175](https://huggingface.co/datasets/open-llm-leaderboard/details_Zardos__Kant-Test-0.1-Mistral-7B/blob/main/results_2023-12-10T11-05-46.345175.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\": 0.6253667303213345,\n\ \ \"acc_stderr\": 0.03253315196101968,\n \"acc_norm\": 0.6318205791064505,\n\ \ \"acc_norm_stderr\": 0.033203023073407084,\n \"mc1\": 0.3402692778457772,\n\ \ \"mc1_stderr\": 0.016586304901762557,\n \"mc2\": 0.4940424629624919,\n\ \ \"mc2_stderr\": 0.014891468326851799\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5844709897610921,\n \"acc_stderr\": 0.014401366641216388,\n\ \ \"acc_norm\": 0.6177474402730375,\n \"acc_norm_stderr\": 0.014200454049979275\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6352320254929297,\n\ \ \"acc_stderr\": 0.004803812631994957,\n \"acc_norm\": 0.828918542123083,\n\ \ \"acc_norm_stderr\": 0.0037581050431501257\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6513157894736842,\n \"acc_stderr\": 0.038781398887976104,\n\ \ \"acc_norm\": 0.6513157894736842,\n \"acc_norm_stderr\": 0.038781398887976104\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"acc_norm_stderr\"\ : 0.05\n },\n \"harness|hendrycksTest-clinical_knowledge|5\": {\n \"\ acc\": 0.6641509433962264,\n \"acc_stderr\": 0.02906722014664483,\n \ \ \"acc_norm\": 0.6641509433962264,\n \"acc_norm_stderr\": 0.02906722014664483\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6944444444444444,\n\ \ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n\ \ \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness|hendrycksTest-college_chemistry|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-college_computer_science|5\": {\n \"\ acc\": 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\"\ : 0.54,\n \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5895953757225434,\n\ \ \"acc_stderr\": 0.03750757044895536,\n \"acc_norm\": 0.5895953757225434,\n\ \ \"acc_norm_stderr\": 0.03750757044895536\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.3627450980392157,\n \"acc_stderr\": 0.04784060704105652,\n\ \ \"acc_norm\": 0.3627450980392157,\n \"acc_norm_stderr\": 0.04784060704105652\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5531914893617021,\n \"acc_stderr\": 0.0325005368436584,\n\ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.0325005368436584\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.47368421052631576,\n\ \ \"acc_stderr\": 0.046970851366478626,\n \"acc_norm\": 0.47368421052631576,\n\ \ \"acc_norm_stderr\": 0.046970851366478626\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n\ \ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.41005291005291006,\n \"acc_stderr\": 0.025331202438944433,\n \"\ acc_norm\": 0.41005291005291006,\n \"acc_norm_stderr\": 0.025331202438944433\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.40476190476190477,\n\ \ \"acc_stderr\": 0.04390259265377562,\n \"acc_norm\": 0.40476190476190477,\n\ \ \"acc_norm_stderr\": 0.04390259265377562\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7483870967741936,\n\ \ \"acc_stderr\": 0.024685979286239963,\n \"acc_norm\": 0.7483870967741936,\n\ \ \"acc_norm_stderr\": 0.024685979286239963\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n\ \ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\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\": 0.7575757575757576,\n \"acc_stderr\": 0.03346409881055953,\n\ \ \"acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.03346409881055953\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217487,\n \"\ acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217487\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8652849740932642,\n \"acc_stderr\": 0.02463978909770944,\n\ \ \"acc_norm\": 0.8652849740932642,\n \"acc_norm_stderr\": 0.02463978909770944\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6256410256410256,\n \"acc_stderr\": 0.0245375915728305,\n \ \ \"acc_norm\": 0.6256410256410256,\n \"acc_norm_stderr\": 0.0245375915728305\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34814814814814815,\n \"acc_stderr\": 0.029045600290616258,\n \ \ \"acc_norm\": 0.34814814814814815,\n \"acc_norm_stderr\": 0.029045600290616258\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6302521008403361,\n \"acc_stderr\": 0.03135709599613591,\n \ \ \"acc_norm\": 0.6302521008403361,\n \"acc_norm_stderr\": 0.03135709599613591\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8036697247706422,\n \"acc_stderr\": 0.01703071933915435,\n \"\ acc_norm\": 0.8036697247706422,\n \"acc_norm_stderr\": 0.01703071933915435\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.49074074074074076,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.49074074074074076,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7745098039215687,\n \"acc_stderr\": 0.02933116229425174,\n \"\ acc_norm\": 0.7745098039215687,\n \"acc_norm_stderr\": 0.02933116229425174\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7763713080168776,\n \"acc_stderr\": 0.027123298205229966,\n \ \ \"acc_norm\": 0.7763713080168776,\n \"acc_norm_stderr\": 0.027123298205229966\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7862595419847328,\n \"acc_stderr\": 0.0359546161177469,\n\ \ \"acc_norm\": 0.7862595419847328,\n \"acc_norm_stderr\": 0.0359546161177469\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8016528925619835,\n \"acc_stderr\": 0.03640118271990947,\n \"\ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.03640118271990947\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.04236511258094633,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.04236511258094633\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7914110429447853,\n \"acc_stderr\": 0.031921934489347235,\n\ \ \"acc_norm\": 0.7914110429447853,\n \"acc_norm_stderr\": 0.031921934489347235\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.49107142857142855,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.49107142857142855,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.039891398595317706,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.039891398595317706\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8632478632478633,\n\ \ \"acc_stderr\": 0.022509033937077812,\n \"acc_norm\": 0.8632478632478633,\n\ \ \"acc_norm_stderr\": 0.022509033937077812\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.80970625798212,\n\ \ \"acc_stderr\": 0.01403694585038139,\n \"acc_norm\": 0.80970625798212,\n\ \ \"acc_norm_stderr\": 0.01403694585038139\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6936416184971098,\n \"acc_stderr\": 0.024818350129436593,\n\ \ \"acc_norm\": 0.6936416184971098,\n \"acc_norm_stderr\": 0.024818350129436593\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3642458100558659,\n\ \ \"acc_stderr\": 0.016094338768474596,\n \"acc_norm\": 0.3642458100558659,\n\ \ \"acc_norm_stderr\": 0.016094338768474596\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.025261691219729484,\n\ \ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.025261691219729484\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818774,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818774\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7191358024691358,\n \"acc_stderr\": 0.025006469755799208,\n\ \ \"acc_norm\": 0.7191358024691358,\n \"acc_norm_stderr\": 0.025006469755799208\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4787234042553192,\n \"acc_stderr\": 0.029800481645628693,\n \ \ \"acc_norm\": 0.4787234042553192,\n \"acc_norm_stderr\": 0.029800481645628693\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4511082138200782,\n\ \ \"acc_stderr\": 0.012709037347346233,\n \"acc_norm\": 0.4511082138200782,\n\ \ \"acc_norm_stderr\": 0.012709037347346233\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6507352941176471,\n \"acc_stderr\": 0.028959755196824873,\n\ \ \"acc_norm\": 0.6507352941176471,\n \"acc_norm_stderr\": 0.028959755196824873\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6666666666666666,\n \"acc_stderr\": 0.019070985589687492,\n \ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.019070985589687492\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\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784603,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784603\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.026193923544454125,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.026193923544454125\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\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\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640038,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640038\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3402692778457772,\n\ \ \"mc1_stderr\": 0.016586304901762557,\n \"mc2\": 0.4940424629624919,\n\ \ \"mc2_stderr\": 0.014891468326851799\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7853196527229677,\n \"acc_stderr\": 0.011539912734345396\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3115996967399545,\n \ \ \"acc_stderr\": 0.012757375376754941\n }\n}\n```" repo_url: https://huggingface.co/Zardos/Kant-Test-0.1-Mistral-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: 2023_12_09T19_34_29.855469 path: - '**/details_harness|arc:challenge|25_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|arc:challenge|25_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|arc:challenge|25_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-10T11-05-46.345175.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|gsm8k|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|gsm8k|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|gsm8k|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hellaswag|10_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hellaswag|10_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hellaswag|10_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-09T19-34-29.855469.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-09T19-45-27.448654.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-10T11-05-46.345175.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-management|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-management|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-management|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-10T11-05-46.345175.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|truthfulqa:mc|0_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|truthfulqa:mc|0_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|truthfulqa:mc|0_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-10T11-05-46.345175.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_09T19_34_29.855469 path: - '**/details_harness|winogrande|5_2023-12-09T19-34-29.855469.parquet' - split: 2023_12_09T19_45_27.448654 path: - '**/details_harness|winogrande|5_2023-12-09T19-45-27.448654.parquet' - split: 2023_12_10T11_05_46.345175 path: - '**/details_harness|winogrande|5_2023-12-10T11-05-46.345175.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-10T11-05-46.345175.parquet' - config_name: results data_files: - split: 2023_12_09T19_34_29.855469 path: - results_2023-12-09T19-34-29.855469.parquet - split: 2023_12_09T19_45_27.448654 path: - results_2023-12-09T19-45-27.448654.parquet - split: 2023_12_10T11_05_46.345175 path: - results_2023-12-10T11-05-46.345175.parquet - split: latest path: - results_2023-12-10T11-05-46.345175.parquet --- # Dataset Card for Evaluation run of Zardos/Kant-Test-0.1-Mistral-7B ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/Zardos/Kant-Test-0.1-Mistral-7B - **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 [Zardos/Kant-Test-0.1-Mistral-7B](https://huggingface.co/Zardos/Kant-Test-0.1-Mistral-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 3 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_Zardos__Kant-Test-0.1-Mistral-7B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-10T11:05:46.345175](https://huggingface.co/datasets/open-llm-leaderboard/details_Zardos__Kant-Test-0.1-Mistral-7B/blob/main/results_2023-12-10T11-05-46.345175.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": 0.6253667303213345, "acc_stderr": 0.03253315196101968, "acc_norm": 0.6318205791064505, "acc_norm_stderr": 0.033203023073407084, "mc1": 0.3402692778457772, "mc1_stderr": 0.016586304901762557, "mc2": 0.4940424629624919, "mc2_stderr": 0.014891468326851799 }, "harness|arc:challenge|25": { "acc": 0.5844709897610921, "acc_stderr": 0.014401366641216388, "acc_norm": 0.6177474402730375, "acc_norm_stderr": 0.014200454049979275 }, "harness|hellaswag|10": { "acc": 0.6352320254929297, "acc_stderr": 0.004803812631994957, "acc_norm": 0.828918542123083, "acc_norm_stderr": 0.0037581050431501257 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6513157894736842, "acc_stderr": 0.038781398887976104, "acc_norm": 0.6513157894736842, "acc_norm_stderr": 0.038781398887976104 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6641509433962264, "acc_stderr": 0.02906722014664483, "acc_norm": 0.6641509433962264, "acc_norm_stderr": 0.02906722014664483 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6944444444444444, "acc_stderr": 0.03852084696008534, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.03852084696008534 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5895953757225434, "acc_stderr": 0.03750757044895536, "acc_norm": 0.5895953757225434, "acc_norm_stderr": 0.03750757044895536 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3627450980392157, "acc_stderr": 0.04784060704105652, "acc_norm": 0.3627450980392157, "acc_norm_stderr": 0.04784060704105652 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5531914893617021, "acc_stderr": 0.0325005368436584, "acc_norm": 0.5531914893617021, "acc_norm_stderr": 0.0325005368436584 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.47368421052631576, "acc_stderr": 0.046970851366478626, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.046970851366478626 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.41005291005291006, "acc_stderr": 0.025331202438944433, "acc_norm": 0.41005291005291006, "acc_norm_stderr": 0.025331202438944433 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.40476190476190477, "acc_stderr": 0.04390259265377562, "acc_norm": 0.40476190476190477, "acc_norm_stderr": 0.04390259265377562 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7483870967741936, "acc_stderr": 0.024685979286239963, "acc_norm": 0.7483870967741936, "acc_norm_stderr": 0.024685979286239963 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5172413793103449, "acc_stderr": 0.035158955511656986, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.035158955511656986 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7575757575757576, "acc_stderr": 0.03346409881055953, "acc_norm": 0.7575757575757576, "acc_norm_stderr": 0.03346409881055953 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7676767676767676, "acc_stderr": 0.030088629490217487, "acc_norm": 0.7676767676767676, "acc_norm_stderr": 0.030088629490217487 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8652849740932642, "acc_stderr": 0.02463978909770944, "acc_norm": 0.8652849740932642, "acc_norm_stderr": 0.02463978909770944 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6256410256410256, "acc_stderr": 0.0245375915728305, "acc_norm": 0.6256410256410256, "acc_norm_stderr": 0.0245375915728305 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34814814814814815, "acc_stderr": 0.029045600290616258, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.029045600290616258 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6302521008403361, "acc_stderr": 0.03135709599613591, "acc_norm": 0.6302521008403361, "acc_norm_stderr": 0.03135709599613591 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8036697247706422, "acc_stderr": 0.01703071933915435, "acc_norm": 0.8036697247706422, "acc_norm_stderr": 0.01703071933915435 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.49074074074074076, "acc_stderr": 0.034093869469927006, "acc_norm": 0.49074074074074076, "acc_norm_stderr": 0.034093869469927006 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7745098039215687, "acc_stderr": 0.02933116229425174, "acc_norm": 0.7745098039215687, "acc_norm_stderr": 0.02933116229425174 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7763713080168776, "acc_stderr": 0.027123298205229966, "acc_norm": 0.7763713080168776, "acc_norm_stderr": 0.027123298205229966 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835794, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835794 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7862595419847328, "acc_stderr": 0.0359546161177469, "acc_norm": 0.7862595419847328, "acc_norm_stderr": 0.0359546161177469 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8016528925619835, "acc_stderr": 0.03640118271990947, "acc_norm": 0.8016528925619835, "acc_norm_stderr": 0.03640118271990947 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7407407407407407, "acc_stderr": 0.04236511258094633, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.04236511258094633 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7914110429447853, "acc_stderr": 0.031921934489347235, "acc_norm": 0.7914110429447853, "acc_norm_stderr": 0.031921934489347235 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.49107142857142855, "acc_stderr": 0.04745033255489123, "acc_norm": 0.49107142857142855, "acc_norm_stderr": 0.04745033255489123 }, "harness|hendrycksTest-management|5": { "acc": 0.7961165048543689, "acc_stderr": 0.039891398595317706, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.039891398595317706 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8632478632478633, "acc_stderr": 0.022509033937077812, "acc_norm": 0.8632478632478633, "acc_norm_stderr": 0.022509033937077812 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.80970625798212, "acc_stderr": 0.01403694585038139, "acc_norm": 0.80970625798212, "acc_norm_stderr": 0.01403694585038139 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6936416184971098, "acc_stderr": 0.024818350129436593, "acc_norm": 0.6936416184971098, "acc_norm_stderr": 0.024818350129436593 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.3642458100558659, "acc_stderr": 0.016094338768474596, "acc_norm": 0.3642458100558659, "acc_norm_stderr": 0.016094338768474596 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7352941176470589, "acc_stderr": 0.025261691219729484, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.025261691219729484 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818774, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818774 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7191358024691358, "acc_stderr": 0.025006469755799208, "acc_norm": 0.7191358024691358, "acc_norm_stderr": 0.025006469755799208 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4787234042553192, "acc_stderr": 0.029800481645628693, "acc_norm": 0.4787234042553192, "acc_norm_stderr": 0.029800481645628693 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4511082138200782, "acc_stderr": 0.012709037347346233, "acc_norm": 0.4511082138200782, "acc_norm_stderr": 0.012709037347346233 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6507352941176471, "acc_stderr": 0.028959755196824873, "acc_norm": 0.6507352941176471, "acc_norm_stderr": 0.028959755196824873 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6666666666666666, "acc_stderr": 0.019070985589687492, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.019070985589687492 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6727272727272727, "acc_stderr": 0.0449429086625209, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.0449429086625209 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7346938775510204, "acc_stderr": 0.028263889943784603, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.028263889943784603 }, "harness|hendrycksTest-sociology|5": { "acc": 0.835820895522388, "acc_stderr": 0.026193923544454125, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.026193923544454125 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.86, "acc_stderr": 0.0348735088019777, "acc_norm": 0.86, "acc_norm_stderr": 0.0348735088019777 }, "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": 0.8187134502923976, "acc_stderr": 0.029547741687640038, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.029547741687640038 }, "harness|truthfulqa:mc|0": { "mc1": 0.3402692778457772, "mc1_stderr": 0.016586304901762557, "mc2": 0.4940424629624919, "mc2_stderr": 0.014891468326851799 }, "harness|winogrande|5": { "acc": 0.7853196527229677, "acc_stderr": 0.011539912734345396 }, "harness|gsm8k|5": { "acc": 0.3115996967399545, "acc_stderr": 0.012757375376754941 } } ``` ### 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]

venkat-srinivasan-nexusflow/multiapi_prototype_CVECPE_Only

--- dataset_info: features: - name: prompt dtype: string - name: prediction dtype: string - name: ground_truth dtype: string - name: correctness dtype: int64 splits: - name: split_20231020_172523 num_bytes: 23946 num_examples: 78 - name: split_20231019_234916 num_bytes: 23946 num_examples: 78 download_size: 28725 dataset_size: 47892 --- # Dataset Card for "multiapi_prototype_CVECPE_Only" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_scb10x__typhoon-7b

--- pretty_name: Evaluation run of scb10x/typhoon-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-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_scb10x__typhoon-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-29T23:54:04.797945](https://huggingface.co/datasets/open-llm-leaderboard/details_scb10x__typhoon-7b/blob/main/results_2023-12-29T23-54-04.797945.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\": 0.5930329978732358,\n\ \ \"acc_stderr\": 0.03323235696154905,\n \"acc_norm\": 0.5989902156875104,\n\ \ \"acc_norm_stderr\": 0.03392042546889035,\n \"mc1\": 0.2594859241126071,\n\ \ \"mc1_stderr\": 0.01534540948555798,\n \"mc2\": 0.4052198339452636,\n\ \ \"mc2_stderr\": 0.014069431569242152\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5435153583617748,\n \"acc_stderr\": 0.01455594976049644,\n\ \ \"acc_norm\": 0.5853242320819113,\n \"acc_norm_stderr\": 0.014397070564409174\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6101374228241386,\n\ \ \"acc_stderr\": 0.004867221634461272,\n \"acc_norm\": 0.8154750049790879,\n\ \ \"acc_norm_stderr\": 0.0038711896202760685\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.5481481481481482,\n\ \ \"acc_stderr\": 0.042992689054808644,\n \"acc_norm\": 0.5481481481481482,\n\ \ \"acc_norm_stderr\": 0.042992689054808644\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6447368421052632,\n \"acc_stderr\": 0.038947344870133176,\n\ \ \"acc_norm\": 0.6447368421052632,\n \"acc_norm_stderr\": 0.038947344870133176\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.52,\n\ \ \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n \ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6339622641509434,\n \"acc_stderr\": 0.02964781353936524,\n\ \ \"acc_norm\": 0.6339622641509434,\n \"acc_norm_stderr\": 0.02964781353936524\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6666666666666666,\n\ \ \"acc_stderr\": 0.03942082639927213,\n \"acc_norm\": 0.6666666666666666,\n\ \ \"acc_norm_stderr\": 0.03942082639927213\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\"\ : 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5953757225433526,\n\ \ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.5953757225433526,\n\ \ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.04858083574266346,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.04858083574266346\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.49361702127659574,\n \"acc_stderr\": 0.03268335899936336,\n\ \ \"acc_norm\": 0.49361702127659574,\n \"acc_norm_stderr\": 0.03268335899936336\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.45614035087719296,\n\ \ \"acc_stderr\": 0.04685473041907789,\n \"acc_norm\": 0.45614035087719296,\n\ \ \"acc_norm_stderr\": 0.04685473041907789\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n\ \ \"acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3968253968253968,\n \"acc_stderr\": 0.025197101074246483,\n \"\ acc_norm\": 0.3968253968253968,\n \"acc_norm_stderr\": 0.025197101074246483\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3253968253968254,\n\ \ \"acc_stderr\": 0.041905964388711366,\n \"acc_norm\": 0.3253968253968254,\n\ \ \"acc_norm_stderr\": 0.041905964388711366\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7064516129032258,\n\ \ \"acc_stderr\": 0.02590608702131929,\n \"acc_norm\": 0.7064516129032258,\n\ \ \"acc_norm_stderr\": 0.02590608702131929\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.47783251231527096,\n \"acc_stderr\": 0.03514528562175007,\n\ \ \"acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.03514528562175007\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\ : {\n \"acc\": 0.696969696969697,\n \"acc_stderr\": 0.03588624800091706,\n\ \ \"acc_norm\": 0.696969696969697,\n \"acc_norm_stderr\": 0.03588624800091706\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365907,\n \"\ acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365907\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.02614848346915331,\n\ \ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.02614848346915331\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6051282051282051,\n \"acc_stderr\": 0.02478431694215638,\n \ \ \"acc_norm\": 0.6051282051282051,\n \"acc_norm_stderr\": 0.02478431694215638\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3148148148148148,\n \"acc_stderr\": 0.02831753349606649,\n \ \ \"acc_norm\": 0.3148148148148148,\n \"acc_norm_stderr\": 0.02831753349606649\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.5798319327731093,\n \"acc_stderr\": 0.03206183783236152,\n \ \ \"acc_norm\": 0.5798319327731093,\n \"acc_norm_stderr\": 0.03206183783236152\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3708609271523179,\n \"acc_stderr\": 0.03943966699183629,\n \"\ acc_norm\": 0.3708609271523179,\n \"acc_norm_stderr\": 0.03943966699183629\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7706422018348624,\n \"acc_stderr\": 0.018025349724618684,\n \"\ acc_norm\": 0.7706422018348624,\n \"acc_norm_stderr\": 0.018025349724618684\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.46296296296296297,\n \"acc_stderr\": 0.03400603625538271,\n \"\ acc_norm\": 0.46296296296296297,\n \"acc_norm_stderr\": 0.03400603625538271\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7352941176470589,\n \"acc_stderr\": 0.030964517926923393,\n \"\ acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.030964517926923393\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7215189873417721,\n \"acc_stderr\": 0.029178682304842548,\n \ \ \"acc_norm\": 0.7215189873417721,\n \"acc_norm_stderr\": 0.029178682304842548\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7709923664122137,\n \"acc_stderr\": 0.036853466317118506,\n\ \ \"acc_norm\": 0.7709923664122137,\n \"acc_norm_stderr\": 0.036853466317118506\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302871,\n \"acc_norm\"\ : 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302871\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6388888888888888,\n\ \ \"acc_stderr\": 0.04643454608906275,\n \"acc_norm\": 0.6388888888888888,\n\ \ \"acc_norm_stderr\": 0.04643454608906275\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615623,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615623\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.39285714285714285,\n\ \ \"acc_stderr\": 0.04635550135609976,\n \"acc_norm\": 0.39285714285714285,\n\ \ \"acc_norm_stderr\": 0.04635550135609976\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7378640776699029,\n \"acc_stderr\": 0.043546310772605956,\n\ \ \"acc_norm\": 0.7378640776699029,\n \"acc_norm_stderr\": 0.043546310772605956\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8418803418803419,\n\ \ \"acc_stderr\": 0.02390232554956039,\n \"acc_norm\": 0.8418803418803419,\n\ \ \"acc_norm_stderr\": 0.02390232554956039\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7867177522349936,\n\ \ \"acc_stderr\": 0.014648172749593524,\n \"acc_norm\": 0.7867177522349936,\n\ \ \"acc_norm_stderr\": 0.014648172749593524\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6647398843930635,\n \"acc_stderr\": 0.02541600377316555,\n\ \ \"acc_norm\": 0.6647398843930635,\n \"acc_norm_stderr\": 0.02541600377316555\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3106145251396648,\n\ \ \"acc_stderr\": 0.015476515438005566,\n \"acc_norm\": 0.3106145251396648,\n\ \ \"acc_norm_stderr\": 0.015476515438005566\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6895424836601307,\n \"acc_stderr\": 0.0264930332251459,\n\ \ \"acc_norm\": 0.6895424836601307,\n \"acc_norm_stderr\": 0.0264930332251459\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6527331189710611,\n\ \ \"acc_stderr\": 0.027040745502307336,\n \"acc_norm\": 0.6527331189710611,\n\ \ \"acc_norm_stderr\": 0.027040745502307336\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.654320987654321,\n \"acc_stderr\": 0.02646248777700187,\n\ \ \"acc_norm\": 0.654320987654321,\n \"acc_norm_stderr\": 0.02646248777700187\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4397163120567376,\n \"acc_stderr\": 0.029609912075594106,\n \ \ \"acc_norm\": 0.4397163120567376,\n \"acc_norm_stderr\": 0.029609912075594106\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4198174706649283,\n\ \ \"acc_stderr\": 0.012604960816087375,\n \"acc_norm\": 0.4198174706649283,\n\ \ \"acc_norm_stderr\": 0.012604960816087375\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5845588235294118,\n \"acc_stderr\": 0.02993534270787774,\n\ \ \"acc_norm\": 0.5845588235294118,\n \"acc_norm_stderr\": 0.02993534270787774\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6372549019607843,\n \"acc_stderr\": 0.01945076843250551,\n \ \ \"acc_norm\": 0.6372549019607843,\n \"acc_norm_stderr\": 0.01945076843250551\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784603,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784603\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7960199004975125,\n\ \ \"acc_stderr\": 0.02849317624532607,\n \"acc_norm\": 0.7960199004975125,\n\ \ \"acc_norm_stderr\": 0.02849317624532607\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\": 0.5,\n \ \ \"acc_stderr\": 0.03892494720807614,\n \"acc_norm\": 0.5,\n \"\ acc_norm_stderr\": 0.03892494720807614\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.03061111655743253,\n\ \ \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.03061111655743253\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2594859241126071,\n\ \ \"mc1_stderr\": 0.01534540948555798,\n \"mc2\": 0.4052198339452636,\n\ \ \"mc2_stderr\": 0.014069431569242152\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7655880031570639,\n \"acc_stderr\": 0.011906130106237992\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3161485974222896,\n \ \ \"acc_stderr\": 0.012807630673451495\n }\n}\n```" repo_url: https://huggingface.co/scb10x/typhoon-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: 2023_12_29T23_54_04.797945 path: - '**/details_harness|arc:challenge|25_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-29T23-54-04.797945.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|gsm8k|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hellaswag|10_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-29T23-54-04.797945.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-management|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T23-54-04.797945.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|truthfulqa:mc|0_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-29T23-54-04.797945.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_29T23_54_04.797945 path: - '**/details_harness|winogrande|5_2023-12-29T23-54-04.797945.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-29T23-54-04.797945.parquet' - config_name: results data_files: - split: 2023_12_29T23_54_04.797945 path: - results_2023-12-29T23-54-04.797945.parquet - split: latest path: - results_2023-12-29T23-54-04.797945.parquet --- # Dataset Card for Evaluation run of scb10x/typhoon-7b  Dataset automatically created during the evaluation run of model [scb10x/typhoon-7b](https://huggingface.co/scb10x/typhoon-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_scb10x__typhoon-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-29T23:54:04.797945](https://huggingface.co/datasets/open-llm-leaderboard/details_scb10x__typhoon-7b/blob/main/results_2023-12-29T23-54-04.797945.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": 0.5930329978732358, "acc_stderr": 0.03323235696154905, "acc_norm": 0.5989902156875104, "acc_norm_stderr": 0.03392042546889035, "mc1": 0.2594859241126071, "mc1_stderr": 0.01534540948555798, "mc2": 0.4052198339452636, "mc2_stderr": 0.014069431569242152 }, "harness|arc:challenge|25": { "acc": 0.5435153583617748, "acc_stderr": 0.01455594976049644, "acc_norm": 0.5853242320819113, "acc_norm_stderr": 0.014397070564409174 }, "harness|hellaswag|10": { "acc": 0.6101374228241386, "acc_stderr": 0.004867221634461272, "acc_norm": 0.8154750049790879, "acc_norm_stderr": 0.0038711896202760685 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5481481481481482, "acc_stderr": 0.042992689054808644, "acc_norm": 0.5481481481481482, "acc_norm_stderr": 0.042992689054808644 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6447368421052632, "acc_stderr": 0.038947344870133176, "acc_norm": 0.6447368421052632, "acc_norm_stderr": 0.038947344870133176 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6339622641509434, "acc_stderr": 0.02964781353936524, "acc_norm": 0.6339622641509434, "acc_norm_stderr": 0.02964781353936524 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6666666666666666, "acc_stderr": 0.03942082639927213, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.03942082639927213 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5953757225433526, "acc_stderr": 0.03742461193887248, "acc_norm": 0.5953757225433526, "acc_norm_stderr": 0.03742461193887248 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.39215686274509803, "acc_stderr": 0.04858083574266346, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.04858083574266346 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.49361702127659574, "acc_stderr": 0.03268335899936336, "acc_norm": 0.49361702127659574, "acc_norm_stderr": 0.03268335899936336 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.45614035087719296, "acc_stderr": 0.04685473041907789, "acc_norm": 0.45614035087719296, "acc_norm_stderr": 0.04685473041907789 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3968253968253968, "acc_stderr": 0.025197101074246483, "acc_norm": 0.3968253968253968, "acc_norm_stderr": 0.025197101074246483 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3253968253968254, "acc_stderr": 0.041905964388711366, "acc_norm": 0.3253968253968254, "acc_norm_stderr": 0.041905964388711366 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7064516129032258, "acc_stderr": 0.02590608702131929, "acc_norm": 0.7064516129032258, "acc_norm_stderr": 0.02590608702131929 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.47783251231527096, "acc_stderr": 0.03514528562175007, "acc_norm": 0.47783251231527096, "acc_norm_stderr": 0.03514528562175007 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.696969696969697, "acc_stderr": 0.03588624800091706, "acc_norm": 0.696969696969697, "acc_norm_stderr": 0.03588624800091706 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7474747474747475, "acc_stderr": 0.030954055470365907, "acc_norm": 0.7474747474747475, "acc_norm_stderr": 0.030954055470365907 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.844559585492228, "acc_stderr": 0.02614848346915331, "acc_norm": 0.844559585492228, "acc_norm_stderr": 0.02614848346915331 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6051282051282051, "acc_stderr": 0.02478431694215638, "acc_norm": 0.6051282051282051, "acc_norm_stderr": 0.02478431694215638 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3148148148148148, "acc_stderr": 0.02831753349606649, "acc_norm": 0.3148148148148148, "acc_norm_stderr": 0.02831753349606649 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5798319327731093, "acc_stderr": 0.03206183783236152, "acc_norm": 0.5798319327731093, "acc_norm_stderr": 0.03206183783236152 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3708609271523179, "acc_stderr": 0.03943966699183629, "acc_norm": 0.3708609271523179, "acc_norm_stderr": 0.03943966699183629 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7706422018348624, "acc_stderr": 0.018025349724618684, "acc_norm": 0.7706422018348624, "acc_norm_stderr": 0.018025349724618684 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.46296296296296297, "acc_stderr": 0.03400603625538271, "acc_norm": 0.46296296296296297, "acc_norm_stderr": 0.03400603625538271 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7352941176470589, "acc_stderr": 0.030964517926923393, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.030964517926923393 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7215189873417721, "acc_stderr": 0.029178682304842548, "acc_norm": 0.7215189873417721, "acc_norm_stderr": 0.029178682304842548 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835794, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835794 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7709923664122137, "acc_stderr": 0.036853466317118506, "acc_norm": 0.7709923664122137, "acc_norm_stderr": 0.036853466317118506 }, "harness|hendrycksTest-international_law|5": { "acc": 0.743801652892562, "acc_stderr": 0.03984979653302871, "acc_norm": 0.743801652892562, "acc_norm_stderr": 0.03984979653302871 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.6388888888888888, "acc_stderr": 0.04643454608906275, "acc_norm": 0.6388888888888888, "acc_norm_stderr": 0.04643454608906275 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7361963190184049, "acc_stderr": 0.03462419931615623, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.03462419931615623 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.39285714285714285, "acc_stderr": 0.04635550135609976, "acc_norm": 0.39285714285714285, "acc_norm_stderr": 0.04635550135609976 }, "harness|hendrycksTest-management|5": { "acc": 0.7378640776699029, "acc_stderr": 0.043546310772605956, "acc_norm": 0.7378640776699029, "acc_norm_stderr": 0.043546310772605956 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8418803418803419, "acc_stderr": 0.02390232554956039, "acc_norm": 0.8418803418803419, "acc_norm_stderr": 0.02390232554956039 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7867177522349936, "acc_stderr": 0.014648172749593524, "acc_norm": 0.7867177522349936, "acc_norm_stderr": 0.014648172749593524 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6647398843930635, "acc_stderr": 0.02541600377316555, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.02541600377316555 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.3106145251396648, "acc_stderr": 0.015476515438005566, "acc_norm": 0.3106145251396648, "acc_norm_stderr": 0.015476515438005566 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6895424836601307, "acc_stderr": 0.0264930332251459, "acc_norm": 0.6895424836601307, "acc_norm_stderr": 0.0264930332251459 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6527331189710611, "acc_stderr": 0.027040745502307336, "acc_norm": 0.6527331189710611, "acc_norm_stderr": 0.027040745502307336 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.654320987654321, "acc_stderr": 0.02646248777700187, "acc_norm": 0.654320987654321, "acc_norm_stderr": 0.02646248777700187 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4397163120567376, "acc_stderr": 0.029609912075594106, "acc_norm": 0.4397163120567376, "acc_norm_stderr": 0.029609912075594106 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4198174706649283, "acc_stderr": 0.012604960816087375, "acc_norm": 0.4198174706649283, "acc_norm_stderr": 0.012604960816087375 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5845588235294118, "acc_stderr": 0.02993534270787774, "acc_norm": 0.5845588235294118, "acc_norm_stderr": 0.02993534270787774 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6372549019607843, "acc_stderr": 0.01945076843250551, "acc_norm": 0.6372549019607843, "acc_norm_stderr": 0.01945076843250551 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7346938775510204, "acc_stderr": 0.028263889943784603, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.028263889943784603 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7960199004975125, "acc_stderr": 0.02849317624532607, "acc_norm": 0.7960199004975125, "acc_norm_stderr": 0.02849317624532607 }, "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": 0.5, "acc_stderr": 0.03892494720807614, "acc_norm": 0.5, "acc_norm_stderr": 0.03892494720807614 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8011695906432749, "acc_stderr": 0.03061111655743253, "acc_norm": 0.8011695906432749, "acc_norm_stderr": 0.03061111655743253 }, "harness|truthfulqa:mc|0": { "mc1": 0.2594859241126071, "mc1_stderr": 0.01534540948555798, "mc2": 0.4052198339452636, "mc2_stderr": 0.014069431569242152 }, "harness|winogrande|5": { "acc": 0.7655880031570639, "acc_stderr": 0.011906130106237992 }, "harness|gsm8k|5": { "acc": 0.3161485974222896, "acc_stderr": 0.012807630673451495 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

TheDuyx/bass_data

--- dataset_info: features: - name: label dtype: class_label: names: '0': '808' '1': brass '2': growl '3': jump_up '4': reese '5': slap '6': sub '7': whomp - name: input_values sequence: float32 - name: attention_mask sequence: int32 splits: - name: train num_bytes: 3588435736 num_examples: 33388 - name: test num_bytes: 399348632 num_examples: 3710 download_size: 1893499877 dataset_size: 3987784368 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

yuvalkirstain/yuvalkirstain-pickapic-ft-eval-random-prompts

--- dataset_info: features: - name: prompt dtype: string - name: url dtype: string splits: - name: train num_bytes: 31392 num_examples: 200 download_size: 11259 dataset_size: 31392 --- # Dataset Card for "yuvalkirstain-pickapic-ft-eval-random-prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

rombodawg/airoboros-2.1_general_purpose

--- license: apache-2.0 --- This is the airoboros-2.1 datatset simplified amd generalized to be usable with any ai model. Original dataset bellow: - https://huggingface.co/datasets/jondurbin/airoboros-2.1

yashraizad/yelp-open-dataset-users

--- license: apache-2.0 ---

sexoeprazer/athena001

--- license: openrail ---

TheFinAI/flare-es-efpa

--- dataset_info: features: - name: 'query:' dtype: string - name: answer dtype: string - name: text dtype: string - name: choices sequence: string - name: gold dtype: int64 - name: query dtype: string splits: - name: test num_bytes: 353055 num_examples: 228 download_size: 141839 dataset_size: 353055 --- # Dataset Card for "flare-es-efpa" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_SC44__Mistral-7B-private-spnf

--- pretty_name: Evaluation run of SC44/Mistral-7B-private-spnf dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [SC44/Mistral-7B-private-spnf](https://huggingface.co/SC44/Mistral-7B-private-spnf)\ \ 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 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 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_SC44__Mistral-7B-private-spnf\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-28T06:39:45.852747](https://huggingface.co/datasets/open-llm-leaderboard/details_SC44__Mistral-7B-private-spnf/blob/main/results_2024-01-28T06-39-45.852747.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\": 0.6081076853099489,\n\ \ \"acc_stderr\": 0.03312456837122671,\n \"acc_norm\": 0.6126302396586892,\n\ \ \"acc_norm_stderr\": 0.033796266236967715,\n \"mc1\": 0.5299877600979193,\n\ \ \"mc1_stderr\": 0.01747199209169754,\n \"mc2\": 0.6834378173026425,\n\ \ \"mc2_stderr\": 0.015179197426716372\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5895904436860068,\n \"acc_stderr\": 0.014374922192642664,\n\ \ \"acc_norm\": 0.6305460750853242,\n \"acc_norm_stderr\": 0.014104578366491888\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6685919139613623,\n\ \ \"acc_stderr\": 0.004697573962169424,\n \"acc_norm\": 0.8490340569607648,\n\ \ \"acc_norm_stderr\": 0.0035728399695219935\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.618421052631579,\n \"acc_stderr\": 0.039531733777491945,\n\ \ \"acc_norm\": 0.618421052631579,\n \"acc_norm_stderr\": 0.039531733777491945\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.59,\n\ \ \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\": 0.59,\n \ \ \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n\ \ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6944444444444444,\n\ \ \"acc_stderr\": 0.03852084696008534,\n \"acc_norm\": 0.6944444444444444,\n\ \ \"acc_norm_stderr\": 0.03852084696008534\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.51,\n \"acc_stderr\": 0.05024183937956911,\n \"acc_norm\"\ : 0.51,\n \"acc_norm_stderr\": 0.05024183937956911\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5895953757225434,\n\ \ \"acc_stderr\": 0.037507570448955356,\n \"acc_norm\": 0.5895953757225434,\n\ \ \"acc_norm_stderr\": 0.037507570448955356\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.69,\n\ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5319148936170213,\n \"acc_stderr\": 0.03261936918467382,\n\ \ \"acc_norm\": 0.5319148936170213,\n \"acc_norm_stderr\": 0.03261936918467382\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.04615186962583703,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.04615186962583703\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.6137931034482759,\n \"acc_stderr\": 0.04057324734419035,\n\ \ \"acc_norm\": 0.6137931034482759,\n \"acc_norm_stderr\": 0.04057324734419035\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137602,\n \"\ acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137602\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42063492063492064,\n\ \ \"acc_stderr\": 0.04415438226743744,\n \"acc_norm\": 0.42063492063492064,\n\ \ \"acc_norm_stderr\": 0.04415438226743744\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.635483870967742,\n\ \ \"acc_stderr\": 0.027379871229943245,\n \"acc_norm\": 0.635483870967742,\n\ \ \"acc_norm_stderr\": 0.027379871229943245\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n\ \ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.65,\n \"acc_stderr\": 0.047937248544110196,\n \"acc_norm\"\ : 0.65,\n \"acc_norm_stderr\": 0.047937248544110196\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7393939393939394,\n \"acc_stderr\": 0.034277431758165236,\n\ \ \"acc_norm\": 0.7393939393939394,\n \"acc_norm_stderr\": 0.034277431758165236\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7626262626262627,\n \"acc_stderr\": 0.030313710538198896,\n \"\ acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.030313710538198896\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8549222797927462,\n \"acc_stderr\": 0.025416343096306443,\n\ \ \"acc_norm\": 0.8549222797927462,\n \"acc_norm_stderr\": 0.025416343096306443\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5615384615384615,\n \"acc_stderr\": 0.02515826601686858,\n \ \ \"acc_norm\": 0.5615384615384615,\n \"acc_norm_stderr\": 0.02515826601686858\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3037037037037037,\n \"acc_stderr\": 0.028037929969114993,\n \ \ \"acc_norm\": 0.3037037037037037,\n \"acc_norm_stderr\": 0.028037929969114993\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6554621848739496,\n \"acc_stderr\": 0.030868682604121626,\n\ \ \"acc_norm\": 0.6554621848739496,\n \"acc_norm_stderr\": 0.030868682604121626\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7944954128440367,\n \"acc_stderr\": 0.01732435232501601,\n \"\ acc_norm\": 0.7944954128440367,\n \"acc_norm_stderr\": 0.01732435232501601\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.44907407407407407,\n \"acc_stderr\": 0.03392238405321616,\n \"\ acc_norm\": 0.44907407407407407,\n \"acc_norm_stderr\": 0.03392238405321616\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7647058823529411,\n \"acc_stderr\": 0.029771775228145624,\n \"\ acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.029771775228145624\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7552742616033755,\n \"acc_stderr\": 0.027985699387036423,\n \ \ \"acc_norm\": 0.7552742616033755,\n \"acc_norm_stderr\": 0.027985699387036423\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6188340807174888,\n\ \ \"acc_stderr\": 0.03259625118416827,\n \"acc_norm\": 0.6188340807174888,\n\ \ \"acc_norm_stderr\": 0.03259625118416827\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.732824427480916,\n \"acc_stderr\": 0.038808483010823944,\n\ \ \"acc_norm\": 0.732824427480916,\n \"acc_norm_stderr\": 0.038808483010823944\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8099173553719008,\n \"acc_stderr\": 0.03581796951709282,\n \"\ acc_norm\": 0.8099173553719008,\n \"acc_norm_stderr\": 0.03581796951709282\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7407407407407407,\n\ \ \"acc_stderr\": 0.042365112580946336,\n \"acc_norm\": 0.7407407407407407,\n\ \ \"acc_norm_stderr\": 0.042365112580946336\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7300613496932515,\n \"acc_stderr\": 0.034878251684978906,\n\ \ \"acc_norm\": 0.7300613496932515,\n \"acc_norm_stderr\": 0.034878251684978906\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.44642857142857145,\n\ \ \"acc_stderr\": 0.047184714852195886,\n \"acc_norm\": 0.44642857142857145,\n\ \ \"acc_norm_stderr\": 0.047184714852195886\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7378640776699029,\n \"acc_stderr\": 0.04354631077260595,\n\ \ \"acc_norm\": 0.7378640776699029,\n \"acc_norm_stderr\": 0.04354631077260595\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8589743589743589,\n\ \ \"acc_stderr\": 0.022801382534597552,\n \"acc_norm\": 0.8589743589743589,\n\ \ \"acc_norm_stderr\": 0.022801382534597552\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252609,\n \ \ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.04725815626252609\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7790549169859514,\n\ \ \"acc_stderr\": 0.014836205167333557,\n \"acc_norm\": 0.7790549169859514,\n\ \ \"acc_norm_stderr\": 0.014836205167333557\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6965317919075145,\n \"acc_stderr\": 0.024752411960917205,\n\ \ \"acc_norm\": 0.6965317919075145,\n \"acc_norm_stderr\": 0.024752411960917205\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3206703910614525,\n\ \ \"acc_stderr\": 0.015609929559348406,\n \"acc_norm\": 0.3206703910614525,\n\ \ \"acc_norm_stderr\": 0.015609929559348406\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6797385620915033,\n \"acc_stderr\": 0.02671611838015685,\n\ \ \"acc_norm\": 0.6797385620915033,\n \"acc_norm_stderr\": 0.02671611838015685\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7009646302250804,\n\ \ \"acc_stderr\": 0.02600330111788514,\n \"acc_norm\": 0.7009646302250804,\n\ \ \"acc_norm_stderr\": 0.02600330111788514\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6975308641975309,\n \"acc_stderr\": 0.025557653981868045,\n\ \ \"acc_norm\": 0.6975308641975309,\n \"acc_norm_stderr\": 0.025557653981868045\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.45390070921985815,\n \"acc_stderr\": 0.029700453247291463,\n \ \ \"acc_norm\": 0.45390070921985815,\n \"acc_norm_stderr\": 0.029700453247291463\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4315514993481095,\n\ \ \"acc_stderr\": 0.012650007999463872,\n \"acc_norm\": 0.4315514993481095,\n\ \ \"acc_norm_stderr\": 0.012650007999463872\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6213235294117647,\n \"acc_stderr\": 0.02946513363977613,\n\ \ \"acc_norm\": 0.6213235294117647,\n \"acc_norm_stderr\": 0.02946513363977613\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6339869281045751,\n \"acc_stderr\": 0.019488025745529675,\n \ \ \"acc_norm\": 0.6339869281045751,\n \"acc_norm_stderr\": 0.019488025745529675\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7181818181818181,\n\ \ \"acc_stderr\": 0.043091187099464585,\n \"acc_norm\": 0.7181818181818181,\n\ \ \"acc_norm_stderr\": 0.043091187099464585\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.710204081632653,\n \"acc_stderr\": 0.029043088683304328,\n\ \ \"acc_norm\": 0.710204081632653,\n \"acc_norm_stderr\": 0.029043088683304328\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7512437810945274,\n\ \ \"acc_stderr\": 0.030567675938916714,\n \"acc_norm\": 0.7512437810945274,\n\ \ \"acc_norm_stderr\": 0.030567675938916714\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036625,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036625\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4939759036144578,\n\ \ \"acc_stderr\": 0.03892212195333047,\n \"acc_norm\": 0.4939759036144578,\n\ \ \"acc_norm_stderr\": 0.03892212195333047\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\ \ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5299877600979193,\n\ \ \"mc1_stderr\": 0.01747199209169754,\n \"mc2\": 0.6834378173026425,\n\ \ \"mc2_stderr\": 0.015179197426716372\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7742699289660616,\n \"acc_stderr\": 0.011749626260902547\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.39651250947687644,\n \ \ \"acc_stderr\": 0.013474258584033345\n }\n}\n```" repo_url: https://huggingface.co/SC44/Mistral-7B-private-spnf 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_01_28T06_36_37.050829 path: - '**/details_harness|arc:challenge|25_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|arc:challenge|25_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-28T06-39-45.852747.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|gsm8k|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|gsm8k|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hellaswag|10_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hellaswag|10_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-28T06-36-37.050829.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-28T06-39-45.852747.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-management|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-management|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-28T06-39-45.852747.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|truthfulqa:mc|0_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|truthfulqa:mc|0_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-28T06-39-45.852747.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_28T06_36_37.050829 path: - '**/details_harness|winogrande|5_2024-01-28T06-36-37.050829.parquet' - split: 2024_01_28T06_39_45.852747 path: - '**/details_harness|winogrande|5_2024-01-28T06-39-45.852747.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-28T06-39-45.852747.parquet' - config_name: results data_files: - split: 2024_01_28T06_36_37.050829 path: - results_2024-01-28T06-36-37.050829.parquet - split: 2024_01_28T06_39_45.852747 path: - results_2024-01-28T06-39-45.852747.parquet - split: latest path: - results_2024-01-28T06-39-45.852747.parquet --- # Dataset Card for Evaluation run of SC44/Mistral-7B-private-spnf  Dataset automatically created during the evaluation run of model [SC44/Mistral-7B-private-spnf](https://huggingface.co/SC44/Mistral-7B-private-spnf) 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 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 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_SC44__Mistral-7B-private-spnf", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-28T06:39:45.852747](https://huggingface.co/datasets/open-llm-leaderboard/details_SC44__Mistral-7B-private-spnf/blob/main/results_2024-01-28T06-39-45.852747.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": 0.6081076853099489, "acc_stderr": 0.03312456837122671, "acc_norm": 0.6126302396586892, "acc_norm_stderr": 0.033796266236967715, "mc1": 0.5299877600979193, "mc1_stderr": 0.01747199209169754, "mc2": 0.6834378173026425, "mc2_stderr": 0.015179197426716372 }, "harness|arc:challenge|25": { "acc": 0.5895904436860068, "acc_stderr": 0.014374922192642664, "acc_norm": 0.6305460750853242, "acc_norm_stderr": 0.014104578366491888 }, "harness|hellaswag|10": { "acc": 0.6685919139613623, "acc_stderr": 0.004697573962169424, "acc_norm": 0.8490340569607648, "acc_norm_stderr": 0.0035728399695219935 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.618421052631579, "acc_stderr": 0.039531733777491945, "acc_norm": 0.618421052631579, "acc_norm_stderr": 0.039531733777491945 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6754716981132075, "acc_stderr": 0.02881561571343211, "acc_norm": 0.6754716981132075, "acc_norm_stderr": 0.02881561571343211 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6944444444444444, "acc_stderr": 0.03852084696008534, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.03852084696008534 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5895953757225434, "acc_stderr": 0.037507570448955356, "acc_norm": 0.5895953757225434, "acc_norm_stderr": 0.037507570448955356 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5319148936170213, "acc_stderr": 0.03261936918467382, "acc_norm": 0.5319148936170213, "acc_norm_stderr": 0.03261936918467382 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.40350877192982454, "acc_stderr": 0.04615186962583703, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.04615186962583703 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6137931034482759, "acc_stderr": 0.04057324734419035, "acc_norm": 0.6137931034482759, "acc_norm_stderr": 0.04057324734419035 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.38095238095238093, "acc_stderr": 0.025010749116137602, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.025010749116137602 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.42063492063492064, "acc_stderr": 0.04415438226743744, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.04415438226743744 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.635483870967742, "acc_stderr": 0.027379871229943245, "acc_norm": 0.635483870967742, "acc_norm_stderr": 0.027379871229943245 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5024630541871922, "acc_stderr": 0.035179450386910616, "acc_norm": 0.5024630541871922, "acc_norm_stderr": 0.035179450386910616 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.65, "acc_stderr": 0.047937248544110196, "acc_norm": 0.65, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7393939393939394, "acc_stderr": 0.034277431758165236, "acc_norm": 0.7393939393939394, "acc_norm_stderr": 0.034277431758165236 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7626262626262627, "acc_stderr": 0.030313710538198896, "acc_norm": 0.7626262626262627, "acc_norm_stderr": 0.030313710538198896 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8549222797927462, "acc_stderr": 0.025416343096306443, "acc_norm": 0.8549222797927462, "acc_norm_stderr": 0.025416343096306443 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5615384615384615, "acc_stderr": 0.02515826601686858, "acc_norm": 0.5615384615384615, "acc_norm_stderr": 0.02515826601686858 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3037037037037037, "acc_stderr": 0.028037929969114993, "acc_norm": 0.3037037037037037, "acc_norm_stderr": 0.028037929969114993 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6554621848739496, "acc_stderr": 0.030868682604121626, "acc_norm": 0.6554621848739496, "acc_norm_stderr": 0.030868682604121626 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7944954128440367, "acc_stderr": 0.01732435232501601, "acc_norm": 0.7944954128440367, "acc_norm_stderr": 0.01732435232501601 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.44907407407407407, "acc_stderr": 0.03392238405321616, "acc_norm": 0.44907407407407407, "acc_norm_stderr": 0.03392238405321616 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7647058823529411, "acc_stderr": 0.029771775228145624, "acc_norm": 0.7647058823529411, "acc_norm_stderr": 0.029771775228145624 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7552742616033755, "acc_stderr": 0.027985699387036423, "acc_norm": 0.7552742616033755, "acc_norm_stderr": 0.027985699387036423 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6188340807174888, "acc_stderr": 0.03259625118416827, "acc_norm": 0.6188340807174888, "acc_norm_stderr": 0.03259625118416827 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.732824427480916, "acc_stderr": 0.038808483010823944, "acc_norm": 0.732824427480916, "acc_norm_stderr": 0.038808483010823944 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8099173553719008, "acc_stderr": 0.03581796951709282, "acc_norm": 0.8099173553719008, "acc_norm_stderr": 0.03581796951709282 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7407407407407407, "acc_stderr": 0.042365112580946336, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.042365112580946336 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7300613496932515, "acc_stderr": 0.034878251684978906, "acc_norm": 0.7300613496932515, "acc_norm_stderr": 0.034878251684978906 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.44642857142857145, "acc_stderr": 0.047184714852195886, "acc_norm": 0.44642857142857145, "acc_norm_stderr": 0.047184714852195886 }, "harness|hendrycksTest-management|5": { "acc": 0.7378640776699029, "acc_stderr": 0.04354631077260595, "acc_norm": 0.7378640776699029, "acc_norm_stderr": 0.04354631077260595 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8589743589743589, "acc_stderr": 0.022801382534597552, "acc_norm": 0.8589743589743589, "acc_norm_stderr": 0.022801382534597552 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.67, "acc_stderr": 0.04725815626252609, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252609 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7790549169859514, "acc_stderr": 0.014836205167333557, "acc_norm": 0.7790549169859514, "acc_norm_stderr": 0.014836205167333557 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6965317919075145, "acc_stderr": 0.024752411960917205, "acc_norm": 0.6965317919075145, "acc_norm_stderr": 0.024752411960917205 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.3206703910614525, "acc_stderr": 0.015609929559348406, "acc_norm": 0.3206703910614525, "acc_norm_stderr": 0.015609929559348406 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6797385620915033, "acc_stderr": 0.02671611838015685, "acc_norm": 0.6797385620915033, "acc_norm_stderr": 0.02671611838015685 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7009646302250804, "acc_stderr": 0.02600330111788514, "acc_norm": 0.7009646302250804, "acc_norm_stderr": 0.02600330111788514 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6975308641975309, "acc_stderr": 0.025557653981868045, "acc_norm": 0.6975308641975309, "acc_norm_stderr": 0.025557653981868045 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.45390070921985815, "acc_stderr": 0.029700453247291463, "acc_norm": 0.45390070921985815, "acc_norm_stderr": 0.029700453247291463 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4315514993481095, "acc_stderr": 0.012650007999463872, "acc_norm": 0.4315514993481095, "acc_norm_stderr": 0.012650007999463872 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6213235294117647, "acc_stderr": 0.02946513363977613, "acc_norm": 0.6213235294117647, "acc_norm_stderr": 0.02946513363977613 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6339869281045751, "acc_stderr": 0.019488025745529675, "acc_norm": 0.6339869281045751, "acc_norm_stderr": 0.019488025745529675 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7181818181818181, "acc_stderr": 0.043091187099464585, "acc_norm": 0.7181818181818181, "acc_norm_stderr": 0.043091187099464585 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.710204081632653, "acc_stderr": 0.029043088683304328, "acc_norm": 0.710204081632653, "acc_norm_stderr": 0.029043088683304328 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7512437810945274, "acc_stderr": 0.030567675938916714, "acc_norm": 0.7512437810945274, "acc_norm_stderr": 0.030567675938916714 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.81, "acc_stderr": 0.03942772444036625, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036625 }, "harness|hendrycksTest-virology|5": { "acc": 0.4939759036144578, "acc_stderr": 0.03892212195333047, "acc_norm": 0.4939759036144578, "acc_norm_stderr": 0.03892212195333047 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8362573099415205, "acc_stderr": 0.028380919596145866, "acc_norm": 0.8362573099415205, "acc_norm_stderr": 0.028380919596145866 }, "harness|truthfulqa:mc|0": { "mc1": 0.5299877600979193, "mc1_stderr": 0.01747199209169754, "mc2": 0.6834378173026425, "mc2_stderr": 0.015179197426716372 }, "harness|winogrande|5": { "acc": 0.7742699289660616, "acc_stderr": 0.011749626260902547 }, "harness|gsm8k|5": { "acc": 0.39651250947687644, "acc_stderr": 0.013474258584033345 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

mirfan899/jalandhary_asr

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: text dtype: string splits: - name: train num_bytes: 2710979825.076 num_examples: 10287 download_size: 2711170960 dataset_size: 2710979825.076 configs: - config_name: default data_files: - split: train path: data/train-* ---

lexklima/locbp

--- license: creativeml-openrail-m ---

cheafdevo56/influential_citations_triplets

--- dataset_info: features: - name: query struct: - name: abstract dtype: string - name: corpus_id dtype: int64 - name: title dtype: string - name: pos struct: - name: abstract dtype: string - name: corpus_id dtype: int64 - name: title dtype: string - name: neg struct: - name: abstract dtype: string - name: corpus_id dtype: int64 - name: score dtype: int64 - name: title dtype: string splits: - name: train num_bytes: 76694722 num_examples: 20141 download_size: 45629285 dataset_size: 76694722 configs: - config_name: default data_files: - split: train path: data/train-* ---

Lickilis/Likilis

--- license: openrail ---

DBQ/Louis.Vuitton.Product.prices.France

--- annotations_creators: - other language_creators: - other language: - en license: - unknown multilinguality: - monolingual source_datasets: - original task_categories: - text-classification - image-classification - feature-extraction - image-segmentation - image-to-image - image-to-text - object-detection - summarization - zero-shot-image-classification pretty_name: France - Louis Vuitton - Product-level price list tags: - webscraping - ecommerce - Louis Vuitton - fashion - fashion product - image - fashion image configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: website_name dtype: string - name: competence_date dtype: string - name: country_code dtype: string - name: currency_code dtype: string - name: brand dtype: string - name: category1_code dtype: string - name: category2_code dtype: string - name: category3_code dtype: string - name: product_code dtype: string - name: title dtype: string - name: itemurl dtype: string - name: imageurl dtype: string - name: full_price dtype: float64 - name: price dtype: float64 - name: full_price_eur dtype: float64 - name: price_eur dtype: float64 - name: flg_discount dtype: int64 splits: - name: train num_bytes: 3471507 num_examples: 7806 download_size: 915905 dataset_size: 3471507 --- # Louis Vuitton web scraped data ## About the website The **Luxury Fashion** industry in the **EMEA** region, specifically in **France**, is a competitive and dynamic sector representing some of the most prestigious names in fashion. **Louis Vuitton**, a prominent player, is renowned for its high-end products, setting the tone for luxury retail within and beyond France. The recent rise in digital transformation has intensified the focus on **Ecommerce** within this industry. The dataset in review contains **Ecommerce product-list page (PLP) data** on Louis Vuitton in France. This data provides valuable insights into consumer behaviour, purchasing patterns, product preferences, and overall performance metrics of Louis Vuittons online retail. ## Link to **dataset** [France - Louis Vuitton - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Louis%20Vuitton%20Product-prices%20France/r/recuJmM9pHnEywNtQ)

rw-r-r-0644/assignment-2

--- license: cc-by-2.0 task_categories: - fill-mask - text-classification - text2text-generation language: - en size_categories: - 10K<n<100K configs: - config_name: default data_files: - split: train path: "train.jsonl" - split: validation path: "validation.jsonl" - split: test path: "test.jsonl" --- # assignment-2 Dataset for the second assignment of the Deep Learning course at my university. The dataset appears to be based on the [WinoGrande](https://winogrande.allenai.org) train_xl set (for the original training.jsonl) and dev/validation set (for test.jsonl). The provided training set has been randomly split into training (85%) and validation (15%) sets. ### Citation Information ``` @InProceedings{ai2:winogrande, title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale}, authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi }, year={2019} } ``` ### Credits Credits to allenai and the authors of the WinoGrande dataset. The original dataset repository can be found on [github](https://github.com/allenai/winogrande).

Flyfer/testDataset

--- license: apache-2.0 ---

marcus2000/Names2chinese

--- dataset_info: features: - name: English_name dtype: string - name: Chinese_name dtype: string splits: - name: train num_bytes: 15768 num_examples: 723 - name: test num_bytes: 1409 num_examples: 63 download_size: 15737 dataset_size: 17177 --- # Dataset Card for "Names2chinese" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

zolak/twitter_dataset_50_1713132027

--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 240189 num_examples: 597 download_size: 129747 dataset_size: 240189 configs: - config_name: default data_files: - split: train path: data/train-* ---

desertfox/hsereg2022

--- license: afl-3.0 ---

pharaouk/stack-v2-python-chunk3

--- dataset_info: features: - name: repo_name dtype: string - name: repo_url dtype: string - name: snapshot_id dtype: string - name: revision_id dtype: string - name: directory_id dtype: string - name: branch_name dtype: string - name: visit_date dtype: timestamp[ns] - name: revision_date dtype: timestamp[ns] - name: committer_date dtype: timestamp[ns] - name: github_id dtype: int64 - name: star_events_count dtype: int64 - name: fork_events_count dtype: int64 - name: gha_license_id dtype: string - name: gha_created_at dtype: timestamp[ns] - name: gha_updated_at dtype: timestamp[ns] - name: gha_pushed_at dtype: timestamp[ns] - name: gha_language dtype: string - name: files list: - name: blob_id dtype: string - name: path dtype: string - name: content_id dtype: string - name: language dtype: string - name: length_bytes dtype: int64 - name: detected_licenses sequence: string - name: license_type dtype: string - name: src_encoding dtype: string - name: is_vendor dtype: bool - name: is_generated dtype: bool - name: alphanum_fraction dtype: float32 - name: alpha_fraction dtype: float32 - name: num_lines dtype: int32 - name: avg_line_length dtype: float32 - name: max_line_length dtype: int32 - name: num_files dtype: int64 splits: - name: train num_bytes: 7897866927 num_examples: 2984967 download_size: 5062103145 dataset_size: 7897866927 configs: - config_name: default data_files: - split: train path: data/train-* ---

TUKE-DeutscheTelekom/skquad

--- annotations_creators: - crowdsourced language: - sk language_creators: - crowdsourced - found license: - cc-by-sa-4.0 - cc-by-4.0 multilinguality: - monolingual paperswithcode_id: squad pretty_name: skquad size_categories: - 10K<n<100K source_datasets: - original tags: - wikipedia task_categories: - question-answering - text-retrieval task_ids: - open-domain-qa - extractive-qa - document-retrieval train-eval-index: - col_mapping: answers: answer_start: answer_start text: text context: context question: question config: squad_v2 metrics: - name: SQuAD v2 type: squad_v2 splits: eval_split: validation train_split: train task: question-answering task_id: extractive_question_answering --- # Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary SK-QuAD is the first QA dataset for the Slovak language. It is manually annotated, so it has no distortion caused by machine translation. The dataset is thematically diverse – it does not overlap with SQuAD – it brings new knowledge. It passed the second round of annotation – each question and the answer were seen by at least two annotators. ### Supported Tasks and Leaderboards - Question answering - Document retrieval ### Languages - Slovak ## Dataset Structure #### squad_v2 - **Size of downloaded dataset files:** 44.34 MB - **Size of the generated dataset:** 122.57 MB - **Total amount of disk used:** 166.91 MB - An example of 'validation' looks as follows. ``` This example was too long and was cropped: { "answers": { "answer_start": [94, 87, 94, 94], "text": ["10th and 11th centuries", "in the 10th and 11th centuries", "10th and 11th centuries", "10th and 11th centuries"] }, "context": "\"The Normans (Norman: Nourmands; French: Normands; Latin: Normanni) were the people who in the 10th and 11th centuries gave thei...", "id": "56ddde6b9a695914005b9629", "question": "When were the Normans in Normandy?", "title": "Normans" } ``` ### Data Fields The data fields are the same among all splits. #### squad_v2 - `id`: a `string` feature. - `title`: a `string` feature. - `context`: a `string` feature. - `question`: a `string` feature. - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int32` feature. ### Data Splits | | Train | Dev | Translated | | ------------- | -----: | -----: | -------: | | Documents | 8,377 | 940 | 442 | | Paragraphs | 22,062 | 2,568 | 18,931 | | Questions | 81,582 | 9,583 | 120,239 | | Answers | 65,839 | 7,822 | 79,978 | | Unanswerable | 15,877 | 1,784 | 40,261 | ## 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 - Deutsche Telekom Systems Solutions Slovakia - Technical Univesity of Košice ### Licensing Information Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ### Citation Information [More Information Needed] ### Contributions Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.

FreedomIntelligence/MMLU_Portuguese

--- license: mit language: - pt --- Portuguese version of MMLU dataset tranlasted by gpt-3.5-turbo. The dataset is used in the research related to [MultilingualSIFT](https://github.com/FreedomIntelligence/MultilingualSIFT).

mickylan2367/ZipfilePractice

--- license: cc-by-sa-4.0 language: - en tags: - music - spectrogram - text - text2music size_categories: - 1K<n<10K --- # Google/MusicCapsの音楽をスペクトログラムにしたデータセット * 内容は<a href="https://huggingface.co/datasets/mickylan2367/GraySpectrogram">mickylan2367/GraySpectrogram</a>と同じです。 * ただ、このデータセットはデータ自体をzipファイルで作ったので、GraySpectrogramよりも（ちょっとだけ）ダウンロードが早いです。 ## 基本情報 * sampling_rate: int = 44100 * 20秒のwavファイル -> 1600×800のpngファイルへ変換 * librosaの規格により、画像の縦軸：(0-10000?Hz), 画像の横軸：(0-40秒)

Sharathhebbar24/MetaMathQA

--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 314797881 num_examples: 390062 download_size: 131558400 dataset_size: 314797881 configs: - config_name: default data_files: - split: train path: data/train-* license: apache-2.0 task_categories: - text-generation language: - en tags: - math size_categories: - 10K<n<100K --- # Meta Math Filtered This is a combined and filtered (removed all the redundant rows) version of [meta-math/MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA) and [meta-math/MetaMathQA-40K](https://huggingface.co/datasets/meta-math/MetaMathQA-40K) ## Usage ```python from datasets import load_dataset dataset = load_dataset("Sharathhebbar24/MetaMathQA", split="train") ```

huggingartists/arctic-monkeys

--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/arctic-monkeys" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - **Homepage:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - **Repository:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Size of the generated dataset:** 0.246691 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/12c27f4fbb06ef32dc1c1e432098f447.570x570x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/arctic-monkeys"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Arctic Monkeys</div> <a href="https://genius.com/artists/arctic-monkeys"> <div style="text-align: center; font-size: 14px;">@arctic-monkeys</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/arctic-monkeys). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/arctic-monkeys") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits | train |validation|test| |------:|---------:|---:| |186| -| -| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/arctic-monkeys") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])*train_percentage), int(len(datasets['train']['text'])*(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About *Built by Aleksey Korshuk* [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. [![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)

georgesuper/houseDataset

--- license: apache-2.0 ---

mole-code/dev.langchain4j-data

--- dataset_info: features: - name: code dtype: string - name: apis sequence: string - name: extract_api dtype: string splits: - name: train num_bytes: 1814444 num_examples: 329 download_size: 483919 dataset_size: 1814444 configs: - config_name: default data_files: - split: train path: data/train-* ---

jondurbin/rosettacode-raw

--- license: gfdl ---

kristmh/low_vs_random

--- configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validate path: data/validate-* dataset_info: features: - name: text_clean dtype: string - name: labels dtype: int64 - name: class dtype: string - name: __index_level_0__ dtype: int64 splits: - name: test num_bytes: 19739399 num_examples: 24512 - name: train num_bytes: 158958252 num_examples: 196090 - name: validate num_bytes: 19103258 num_examples: 24511 download_size: 97810741 dataset_size: 197800909 --- # Dataset Card for "low_vs_random" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

laamaai/ele-int

--- dataset_info: features: - name: ELE dtype: string - name: INT dtype: string splits: - name: train num_bytes: 332689.5077658303 num_examples: 1339 - name: test num_bytes: 83234.49223416965 num_examples: 335 download_size: 292949 dataset_size: 415924.0 --- # Dataset Card for "ele-int" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Harsh-7300/datagrade

--- license: mit ---

memray/AugTriever-AugQ-CC

--- license: mit --- AugQ-CC is an unsupervised augmented dataset for training retrievers used in `AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation`. It consists of 52.4M pseudo query-document pairs based on [Pile-CommonCrawl](https://pile.eleuther.ai/paper.pdf). ``` @article{meng2022augtriever, title={AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation}, author={Meng, Rui and Liu, Ye and Yavuz, Semih and Agarwal, Divyansh and Tu, Lifu and Yu, Ning and Zhang, Jianguo and Bhat, Meghana and Zhou, Yingbo}, journal={arXiv preprint arXiv:2212.08841}, year={2022} } ```

mlxen/squad_1_1_contrastdata_training

--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 splits: - name: train num_bytes: 79340259 num_examples: 87599 download_size: 0 dataset_size: 79340259 --- # Dataset Card for "squad_1_1_contrastdata_training" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Nexdata/Chinese_Mandarin_Synthesis_Corpus-Male_Customer_Service

--- YAML tags: - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging --- # Dataset Card for Nexdata/Chinese_Mandarin_Synthesis_Corpus-Male_Customer_Service ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** https://www.nexdata.ai/datasets/1099?source=Huggingface - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary 20 Hours - Chinese Mandarin Synthesis Corpus-Male, Customer Service. It is recorded by Chinese native speakers, the voice of the full of magnetism. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis. For more details, please refer to the link: https://www.nexdata.ai/datasets/1099?source=Huggingface ### Supported Tasks and Leaderboards tts: The dataset can be used to train a model for Text to Speech (TTS). ### Languages Chinese Mandarin ## 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 Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing ### Citation Information [More Information Needed] ### Contributions

open-llm-leaderboard/details_liminerity__Multiverse-Experiment-slerp-7b

--- pretty_name: Evaluation run of liminerity/Multiverse-Experiment-slerp-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [liminerity/Multiverse-Experiment-slerp-7b](https://huggingface.co/liminerity/Multiverse-Experiment-slerp-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_liminerity__Multiverse-Experiment-slerp-7b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-09T12:02:01.054194](https://huggingface.co/datasets/open-llm-leaderboard/details_liminerity__Multiverse-Experiment-slerp-7b/blob/main/results_2024-03-09T12-02-01.054194.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\": 0.6518510677976063,\n\ \ \"acc_stderr\": 0.03203683002461246,\n \"acc_norm\": 0.6505703294705394,\n\ \ \"acc_norm_stderr\": 0.03271494006314174,\n \"mc1\": 0.631578947368421,\n\ \ \"mc1_stderr\": 0.016886551261046046,\n \"mc2\": 0.7792924999444771,\n\ \ \"mc2_stderr\": 0.013713064522592473\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.7167235494880546,\n \"acc_stderr\": 0.013167478735134575,\n\ \ \"acc_norm\": 0.7286689419795221,\n \"acc_norm_stderr\": 0.012993807727545796\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7177853017327226,\n\ \ \"acc_stderr\": 0.0044915745394418834,\n \"acc_norm\": 0.8914558852818164,\n\ \ \"acc_norm_stderr\": 0.003104306434972473\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.6370370370370371,\n\ \ \"acc_stderr\": 0.04153948404742398,\n \"acc_norm\": 0.6370370370370371,\n\ \ \"acc_norm_stderr\": 0.04153948404742398\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.7105263157894737,\n \"acc_stderr\": 0.03690677986137283,\n\ \ \"acc_norm\": 0.7105263157894737,\n \"acc_norm_stderr\": 0.03690677986137283\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\": 0.7018867924528301,\n \"acc_stderr\": 0.028152837942493864,\n\ \ \"acc_norm\": 0.7018867924528301,\n \"acc_norm_stderr\": 0.028152837942493864\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956911,\n \ \ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956911\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.57,\n\ \ \"acc_norm_stderr\": 0.04975698519562428\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\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247077,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247077\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\":\ \ 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \"acc_norm\": 0.76,\n\ \ \"acc_norm_stderr\": 0.04292346959909283\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.574468085106383,\n \"acc_stderr\": 0.03232146916224468,\n\ \ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.03232146916224468\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\n\ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.04154659671707548,\n\ \ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.04154659671707548\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4126984126984127,\n \"acc_stderr\": 0.025355741263055273,\n \"\ acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.025355741263055273\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7838709677419354,\n\ \ \"acc_stderr\": 0.02341529343356853,\n \"acc_norm\": 0.7838709677419354,\n\ \ \"acc_norm_stderr\": 0.02341529343356853\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n\ \ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\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\": 0.7696969696969697,\n \"acc_stderr\": 0.03287666758603491,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.03287666758603491\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.797979797979798,\n \"acc_stderr\": 0.02860620428922987,\n \"acc_norm\"\ : 0.797979797979798,\n \"acc_norm_stderr\": 0.02860620428922987\n },\n\ \ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \ \ \"acc\": 0.9119170984455959,\n \"acc_stderr\": 0.02045374660160103,\n\ \ \"acc_norm\": 0.9119170984455959,\n \"acc_norm_stderr\": 0.02045374660160103\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.023991500500313036,\n\ \ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.023991500500313036\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.31851851851851853,\n \"acc_stderr\": 0.02840653309060846,\n \ \ \"acc_norm\": 0.31851851851851853,\n \"acc_norm_stderr\": 0.02840653309060846\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6722689075630253,\n \"acc_stderr\": 0.03048991141767323,\n \ \ \"acc_norm\": 0.6722689075630253,\n \"acc_norm_stderr\": 0.03048991141767323\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3708609271523179,\n \"acc_stderr\": 0.03943966699183629,\n \"\ acc_norm\": 0.3708609271523179,\n \"acc_norm_stderr\": 0.03943966699183629\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5185185185185185,\n \"acc_stderr\": 0.03407632093854051,\n \"\ acc_norm\": 0.5185185185185185,\n \"acc_norm_stderr\": 0.03407632093854051\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8529411764705882,\n \"acc_stderr\": 0.024857478080250447,\n \"\ acc_norm\": 0.8529411764705882,\n \"acc_norm_stderr\": 0.024857478080250447\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8143459915611815,\n \"acc_stderr\": 0.025310495376944856,\n \ \ \"acc_norm\": 0.8143459915611815,\n \"acc_norm_stderr\": 0.025310495376944856\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.034981493854624714,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.034981493854624714\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\"\ : 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\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\": 0.7791411042944786,\n \"acc_stderr\": 0.03259177392742178,\n\ \ \"acc_norm\": 0.7791411042944786,\n \"acc_norm_stderr\": 0.03259177392742178\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\ \ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406964,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406964\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.822477650063857,\n\ \ \"acc_stderr\": 0.013664230995834841,\n \"acc_norm\": 0.822477650063857,\n\ \ \"acc_norm_stderr\": 0.013664230995834841\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7283236994219653,\n \"acc_stderr\": 0.02394851290546836,\n\ \ \"acc_norm\": 0.7283236994219653,\n \"acc_norm_stderr\": 0.02394851290546836\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.42681564245810055,\n\ \ \"acc_stderr\": 0.016542401954631917,\n \"acc_norm\": 0.42681564245810055,\n\ \ \"acc_norm_stderr\": 0.016542401954631917\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7254901960784313,\n \"acc_stderr\": 0.025553169991826524,\n\ \ \"acc_norm\": 0.7254901960784313,\n \"acc_norm_stderr\": 0.025553169991826524\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818763,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818763\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7376543209876543,\n \"acc_stderr\": 0.024477222856135114,\n\ \ \"acc_norm\": 0.7376543209876543,\n \"acc_norm_stderr\": 0.024477222856135114\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\": 0.4765319426336376,\n\ \ \"acc_stderr\": 0.012756161942523369,\n \"acc_norm\": 0.4765319426336376,\n\ \ \"acc_norm_stderr\": 0.012756161942523369\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6801470588235294,\n \"acc_stderr\": 0.02833295951403121,\n\ \ \"acc_norm\": 0.6801470588235294,\n \"acc_norm_stderr\": 0.02833295951403121\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6781045751633987,\n \"acc_stderr\": 0.018901015322093092,\n \ \ \"acc_norm\": 0.6781045751633987,\n \"acc_norm_stderr\": 0.018901015322093092\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\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784596,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784596\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\ \ \"acc_stderr\": 0.026193923544454125,\n \"acc_norm\": 0.835820895522388,\n\ \ \"acc_norm_stderr\": 0.026193923544454125\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\ \ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\ \ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\ \ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.631578947368421,\n\ \ \"mc1_stderr\": 0.016886551261046046,\n \"mc2\": 0.7792924999444771,\n\ \ \"mc2_stderr\": 0.013713064522592473\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8476716653512234,\n \"acc_stderr\": 0.010099208246065604\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7172100075815011,\n \ \ \"acc_stderr\": 0.012405020417873619\n }\n}\n```" repo_url: https://huggingface.co/liminerity/Multiverse-Experiment-slerp-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_09T12_02_01.054194 path: - '**/details_harness|arc:challenge|25_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-09T12-02-01.054194.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|gsm8k|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hellaswag|10_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-09T12-02-01.054194.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-management|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-09T12-02-01.054194.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|truthfulqa:mc|0_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-09T12-02-01.054194.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_09T12_02_01.054194 path: - '**/details_harness|winogrande|5_2024-03-09T12-02-01.054194.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-09T12-02-01.054194.parquet' - config_name: results data_files: - split: 2024_03_09T12_02_01.054194 path: - results_2024-03-09T12-02-01.054194.parquet - split: latest path: - results_2024-03-09T12-02-01.054194.parquet --- # Dataset Card for Evaluation run of liminerity/Multiverse-Experiment-slerp-7b  Dataset automatically created during the evaluation run of model [liminerity/Multiverse-Experiment-slerp-7b](https://huggingface.co/liminerity/Multiverse-Experiment-slerp-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_liminerity__Multiverse-Experiment-slerp-7b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-09T12:02:01.054194](https://huggingface.co/datasets/open-llm-leaderboard/details_liminerity__Multiverse-Experiment-slerp-7b/blob/main/results_2024-03-09T12-02-01.054194.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": 0.6518510677976063, "acc_stderr": 0.03203683002461246, "acc_norm": 0.6505703294705394, "acc_norm_stderr": 0.03271494006314174, "mc1": 0.631578947368421, "mc1_stderr": 0.016886551261046046, "mc2": 0.7792924999444771, "mc2_stderr": 0.013713064522592473 }, "harness|arc:challenge|25": { "acc": 0.7167235494880546, "acc_stderr": 0.013167478735134575, "acc_norm": 0.7286689419795221, "acc_norm_stderr": 0.012993807727545796 }, "harness|hellaswag|10": { "acc": 0.7177853017327226, "acc_stderr": 0.0044915745394418834, "acc_norm": 0.8914558852818164, "acc_norm_stderr": 0.003104306434972473 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6370370370370371, "acc_stderr": 0.04153948404742398, "acc_norm": 0.6370370370370371, "acc_norm_stderr": 0.04153948404742398 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7105263157894737, "acc_stderr": 0.03690677986137283, "acc_norm": 0.7105263157894737, "acc_norm_stderr": 0.03690677986137283 }, "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": 0.7018867924528301, "acc_stderr": 0.028152837942493864, "acc_norm": 0.7018867924528301, "acc_norm_stderr": 0.028152837942493864 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.49, "acc_stderr": 0.05024183937956911, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "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": 0.6647398843930635, "acc_stderr": 0.03599586301247077, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247077 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.574468085106383, "acc_stderr": 0.03232146916224468, "acc_norm": 0.574468085106383, "acc_norm_stderr": 0.03232146916224468 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.49122807017543857, "acc_stderr": 0.04702880432049615, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.04702880432049615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5379310344827586, "acc_stderr": 0.04154659671707548, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.04154659671707548 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4126984126984127, "acc_stderr": 0.025355741263055273, "acc_norm": 0.4126984126984127, "acc_norm_stderr": 0.025355741263055273 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7838709677419354, "acc_stderr": 0.02341529343356853, "acc_norm": 0.7838709677419354, "acc_norm_stderr": 0.02341529343356853 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5172413793103449, "acc_stderr": 0.035158955511656986, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.035158955511656986 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7696969696969697, "acc_stderr": 0.03287666758603491, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.03287666758603491 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.797979797979798, "acc_stderr": 0.02860620428922987, "acc_norm": 0.797979797979798, "acc_norm_stderr": 0.02860620428922987 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9119170984455959, "acc_stderr": 0.02045374660160103, "acc_norm": 0.9119170984455959, "acc_norm_stderr": 0.02045374660160103 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6615384615384615, "acc_stderr": 0.023991500500313036, "acc_norm": 0.6615384615384615, "acc_norm_stderr": 0.023991500500313036 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.31851851851851853, "acc_stderr": 0.02840653309060846, "acc_norm": 0.31851851851851853, "acc_norm_stderr": 0.02840653309060846 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6722689075630253, "acc_stderr": 0.03048991141767323, "acc_norm": 0.6722689075630253, "acc_norm_stderr": 0.03048991141767323 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3708609271523179, "acc_stderr": 0.03943966699183629, "acc_norm": 0.3708609271523179, "acc_norm_stderr": 0.03943966699183629 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8458715596330275, "acc_stderr": 0.015480826865374303, "acc_norm": 0.8458715596330275, "acc_norm_stderr": 0.015480826865374303 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5185185185185185, "acc_stderr": 0.03407632093854051, "acc_norm": 0.5185185185185185, "acc_norm_stderr": 0.03407632093854051 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8529411764705882, "acc_stderr": 0.024857478080250447, "acc_norm": 0.8529411764705882, "acc_norm_stderr": 0.024857478080250447 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8143459915611815, "acc_stderr": 0.025310495376944856, "acc_norm": 0.8143459915611815, "acc_norm_stderr": 0.025310495376944856 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8015267175572519, "acc_stderr": 0.034981493854624714, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.034981493854624714 }, "harness|hendrycksTest-international_law|5": { "acc": 0.768595041322314, "acc_stderr": 0.03849856098794088, "acc_norm": 0.768595041322314, "acc_norm_stderr": 0.03849856098794088 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.75, "acc_stderr": 0.04186091791394607, "acc_norm": 0.75, "acc_norm_stderr": 0.04186091791394607 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7791411042944786, "acc_stderr": 0.03259177392742178, "acc_norm": 0.7791411042944786, "acc_norm_stderr": 0.03259177392742178 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04697113923010212, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04697113923010212 }, "harness|hendrycksTest-management|5": { "acc": 0.7669902912621359, "acc_stderr": 0.04185832598928315, "acc_norm": 0.7669902912621359, "acc_norm_stderr": 0.04185832598928315 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8803418803418803, "acc_stderr": 0.021262719400406964, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.021262719400406964 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.822477650063857, "acc_stderr": 0.013664230995834841, "acc_norm": 0.822477650063857, "acc_norm_stderr": 0.013664230995834841 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7283236994219653, "acc_stderr": 0.02394851290546836, "acc_norm": 0.7283236994219653, "acc_norm_stderr": 0.02394851290546836 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.42681564245810055, "acc_stderr": 0.016542401954631917, "acc_norm": 0.42681564245810055, "acc_norm_stderr": 0.016542401954631917 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7254901960784313, "acc_stderr": 0.025553169991826524, "acc_norm": 0.7254901960784313, "acc_norm_stderr": 0.025553169991826524 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818763, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818763 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7376543209876543, "acc_stderr": 0.024477222856135114, "acc_norm": 0.7376543209876543, "acc_norm_stderr": 0.024477222856135114 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4858156028368794, "acc_stderr": 0.02981549448368206, "acc_norm": 0.4858156028368794, "acc_norm_stderr": 0.02981549448368206 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4765319426336376, "acc_stderr": 0.012756161942523369, "acc_norm": 0.4765319426336376, "acc_norm_stderr": 0.012756161942523369 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6801470588235294, "acc_stderr": 0.02833295951403121, "acc_norm": 0.6801470588235294, "acc_norm_stderr": 0.02833295951403121 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6781045751633987, "acc_stderr": 0.018901015322093092, "acc_norm": 0.6781045751633987, "acc_norm_stderr": 0.018901015322093092 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6727272727272727, "acc_stderr": 0.0449429086625209, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.0449429086625209 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7346938775510204, "acc_stderr": 0.028263889943784596, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.028263889943784596 }, "harness|hendrycksTest-sociology|5": { "acc": 0.835820895522388, "acc_stderr": 0.026193923544454125, "acc_norm": 0.835820895522388, "acc_norm_stderr": 0.026193923544454125 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "harness|hendrycksTest-virology|5": { "acc": 0.5542168674698795, "acc_stderr": 0.03869543323472101, "acc_norm": 0.5542168674698795, "acc_norm_stderr": 0.03869543323472101 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8362573099415205, "acc_stderr": 0.028380919596145866, "acc_norm": 0.8362573099415205, "acc_norm_stderr": 0.028380919596145866 }, "harness|truthfulqa:mc|0": { "mc1": 0.631578947368421, "mc1_stderr": 0.016886551261046046, "mc2": 0.7792924999444771, "mc2_stderr": 0.013713064522592473 }, "harness|winogrande|5": { "acc": 0.8476716653512234, "acc_stderr": 0.010099208246065604 }, "harness|gsm8k|5": { "acc": 0.7172100075815011, "acc_stderr": 0.012405020417873619 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

toshi456/Gemma-Alpaca-Data-13k

--- license: apache-2.0 task_categories: - question-answering language: - en size_categories: - 10K<n<100K --- # Dataset Card for "Gemma-Alpaca-Data-13k" ## Dataset Detail **Dataset Type:** Gemma-Alpaca-Data-13k is generated automatically using [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it) with reference to the data generation method in [Stanford Alpaca](https://crfm.stanford.edu/2023/03/13/alpaca.html). **Resources for More Information:** Preparing **License:** [Apache license 2.0](https://www.apache.org/licenses/LICENSE-2.0) **Questions or Comments:** ## Acknowledgement - [Stanford Alpaca](https://crfm.stanford.edu/2023/03/13/alpaca.html) - [Gemma](https://ai.google.dev/gemma/docs?hl=en)

Affaan/CustomOpenOrca

--- language: - en 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: 1791415 num_examples: 1000 download_size: 1023995 dataset_size: 1791415 configs: - config_name: default data_files: - split: train path: data/train-* ---

gagan3012/oasis

--- dataset_info: features: - name: prompt dtype: string - name: prompt_id dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 6962220398 num_examples: 2344376 download_size: 3410521074 dataset_size: 6962220398 configs: - config_name: default data_files: - split: train path: data/train-* ---

mask-distilled-onesec-cv12-each-chunk-uniq/chunk_225

--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1123778940.0 num_examples: 220695 download_size: 1148347695 dataset_size: 1123778940.0 --- # Dataset Card for "chunk_225" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

virtualvoidsteve/virtualvoidsteve

--- dataset_info: features: - name: corrupted dtype: string - name: corrected dtype: string splits: - name: train num_bytes: 58027 num_examples: 57 download_size: 17480 dataset_size: 58027 configs: - config_name: default data_files: - split: train path: data/train-* ---

ThiagoKRHS/ricardojuarez

--- license: openrail ---

TrainingDataPro/botox-injections-before-and-after

--- language: - en license: cc-by-nc-nd-4.0 task_categories: - image-classification - image-to-image tags: - medical - code dataset_info: features: - name: id dtype: int32 - name: before dtype: image - name: after dtype: image splits: - name: train num_bytes: 38806781 num_examples: 23 download_size: 38824211 dataset_size: 38806781 --- # Botox Injections (Before & After) The dataset consists of photos featuring the same individuals captured before and after botox injections procedure. The dataset contains a diverse range of individuals with various *ages, ethnicities and genders*. The dataset is useful for evaluation of the effectiveness of botox injections for different skin and face types, face recognition and reidentification tasks. It can be utilised for biometric tasks , in beauty sphere, for medical purposes and e-commerce. ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Ff4e4aa816bc874020b913bbc3cabfe16%2F96.png?generation=1693400980674716&alt=media) # Get the dataset ### This is just an example of the data Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market/botox-injections-before-after?utm_source=huggingface&utm_medium=cpc&utm_campaign=botox-injections-before-and-after) to discuss your requirements, learn about the price and buy the dataset. # Content - **before**: includes images of people before botox injections - **after**: includes images of people after botox injections. People are the same as in the previous folder, photos are identified by the same name - **.csv file**: contains information about the dataset ### File with the extension .csv includes the following information for each set of media files: - **person**: id of the person, - **before**: link to the photo before the injection, - **after**: link to the photo after the injection # Images of people with botox injections might be collected in accordance with your requirements. ## [**TrainingData**](https://trainingdata.pro/data-market/botox-injections-before-after?utm_source=huggingface&utm_medium=cpc&utm_campaign=botox-injections-before-and-after) provides high-quality data annotation tailored to your needs More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**

sriramahesh2000/DocumentCreation

--- license: apache-2.0 ---

diwank/IBMDebaterArgQ

--- dataset_info: features: - name: label dtype: string - name: a1 dtype: string - name: a2 dtype: string - name: sentence dtype: string splits: - name: train num_bytes: 7817605 num_examples: 23128 download_size: 1591082 dataset_size: 7817605 --- # Dataset Card for "IBMDebaterArgQ" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_Xwin-LM__Xwin-LM-7B-V0.1

--- pretty_name: Evaluation run of Xwin-LM/Xwin-LM-7B-V0.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Xwin-LM/Xwin-LM-7B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1) 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_Xwin-LM__Xwin-LM-7B-V0.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-29T08:21:17.529053](https://huggingface.co/datasets/open-llm-leaderboard/details_Xwin-LM__Xwin-LM-7B-V0.1/blob/main/results_2023-10-29T08-21-17.529053.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\": 0.027894295302013424,\n\ \ \"em_stderr\": 0.0016863747631550056,\n \"f1\": 0.09094588926174478,\n\ \ \"f1_stderr\": 0.0021236742209429166,\n \"acc\": 0.393149302914779,\n\ \ \"acc_stderr\": 0.009302457480391348\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.027894295302013424,\n \"em_stderr\": 0.0016863747631550056,\n\ \ \"f1\": 0.09094588926174478,\n \"f1_stderr\": 0.0021236742209429166\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.05307050796057619,\n \ \ \"acc_stderr\": 0.006174868858638367\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7332280978689818,\n \"acc_stderr\": 0.01243004610214433\n\ \ }\n}\n```" repo_url: https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1 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_22T01_35_00.215271 path: - '**/details_harness|arc:challenge|25_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-09-22T01-35-00.215271.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_29T08_21_17.529053 path: - '**/details_harness|drop|3_2023-10-29T08-21-17.529053.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-29T08-21-17.529053.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_29T08_21_17.529053 path: - '**/details_harness|gsm8k|5_2023-10-29T08-21-17.529053.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-29T08-21-17.529053.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hellaswag|10_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-management|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-09-22T01-35-00.215271.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-management|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-virology|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-09-22T01-35-00.215271.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_09_22T01_35_00.215271 path: - '**/details_harness|truthfulqa:mc|0_2023-09-22T01-35-00.215271.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-09-22T01-35-00.215271.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_29T08_21_17.529053 path: - '**/details_harness|winogrande|5_2023-10-29T08-21-17.529053.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-29T08-21-17.529053.parquet' - config_name: results data_files: - split: 2023_09_22T01_35_00.215271 path: - results_2023-09-22T01-35-00.215271.parquet - split: 2023_10_29T08_21_17.529053 path: - results_2023-10-29T08-21-17.529053.parquet - split: latest path: - results_2023-10-29T08-21-17.529053.parquet --- # Dataset Card for Evaluation run of Xwin-LM/Xwin-LM-7B-V0.1 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1 - **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 [Xwin-LM/Xwin-LM-7B-V0.1](https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1) 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_Xwin-LM__Xwin-LM-7B-V0.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-29T08:21:17.529053](https://huggingface.co/datasets/open-llm-leaderboard/details_Xwin-LM__Xwin-LM-7B-V0.1/blob/main/results_2023-10-29T08-21-17.529053.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": 0.027894295302013424, "em_stderr": 0.0016863747631550056, "f1": 0.09094588926174478, "f1_stderr": 0.0021236742209429166, "acc": 0.393149302914779, "acc_stderr": 0.009302457480391348 }, "harness|drop|3": { "em": 0.027894295302013424, "em_stderr": 0.0016863747631550056, "f1": 0.09094588926174478, "f1_stderr": 0.0021236742209429166 }, "harness|gsm8k|5": { "acc": 0.05307050796057619, "acc_stderr": 0.006174868858638367 }, "harness|winogrande|5": { "acc": 0.7332280978689818, "acc_stderr": 0.01243004610214433 } } ``` ### 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]

HassenMh/ArabNER

--- license: cc-by-nc-4.0 --- # Create dataset for arabic named entiy

dharun2049/autotrain-data-skinnnnnnn

--- task_categories: - image-classification --- # AutoTrain Dataset for project: skinnnnnnn ## Dataset Description This dataset has been automatically processed by AutoTrain for project skinnnnnnn. ### Languages The BCP-47 code for the dataset's language is unk. ## Dataset Structure ### Data Instances A sample from this dataset looks as follows: ```json [ { "image": "<224x224 RGB PIL image>", "target": 0 }, { "image": "<224x224 RGB PIL image>", "target": 1 } ] ``` ### Dataset Fields The dataset has the following fields (also called "features"): ```json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(names=['benign', 'malignant'], id=None)" } ``` ### Dataset Splits This dataset is split into a train and validation split. The split sizes are as follow: | Split name | Num samples | | ------------ | ------------------- | | train | 397 | | valid | 101 |

SJ1999/datatransformer1

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 547394 num_examples: 219 download_size: 62186 dataset_size: 547394 configs: - config_name: default data_files: - split: train path: data/train-* ---

Lechcher/My-Pc-Data

--- license: apache-2.0 ---

bigscience-data/roots_indic-mr_wikibooks

--- language: mr license: cc-by-sa-3.0 extra_gated_prompt: 'By accessing this dataset, you agree to abide by the BigScience Ethical Charter. The charter can be found at: https://hf.co/spaces/bigscience/ethical-charter' extra_gated_fields: I have read and agree to abide by the BigScience Ethical Charter: checkbox --- ROOTS Subset: roots_indic-mr_wikibooks # wikibooks_filtered - Dataset uid: `wikibooks_filtered` ### Description ### Homepage ### Licensing ### Speaker Locations ### Sizes - 0.0897 % of total - 0.2591 % of en - 0.0965 % of fr - 0.1691 % of es - 0.2834 % of indic-hi - 0.2172 % of pt - 0.0149 % of zh - 0.0279 % of ar - 0.1374 % of vi - 0.5025 % of id - 0.3694 % of indic-ur - 0.5744 % of eu - 0.0769 % of ca - 0.0519 % of indic-ta - 0.1470 % of indic-mr - 0.0751 % of indic-te - 0.0156 % of indic-bn - 0.0476 % of indic-ml - 0.0087 % of indic-pa ### BigScience processing steps #### Filters applied to: en - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_en - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: fr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_fr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: es - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_es - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-hi - dedup_document - filter_remove_empty_docs - split_sentences_indic-hi - dedup_template_soft - filter_small_docs_bytes_300 #### Filters applied to: pt - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_pt - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: zh - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_zhs - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: ar - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ar - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: vi - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_vi - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: id - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_id - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ur - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - dedup_template_soft - filter_remove_empty_docs - filter_small_docs_bytes_300 #### Filters applied to: eu - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_eu - dedup_template_soft - replace_newline_with_space #### Filters applied to: ca - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_ca - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_1024 #### Filters applied to: indic-ta - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ta - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-mr - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-mr - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-te - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-te - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-bn - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-bn - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-ml - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-ml - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300 #### Filters applied to: indic-pa - filter_wiki_user_titles - filter_wiki_non_text_type - dedup_document - filter_remove_empty_docs - split_sentences_indic-pa - dedup_template_soft - replace_newline_with_space - filter_small_docs_bytes_300

sazirarrwth99/training_bullet_text

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 8969 num_examples: 3 download_size: 23957 dataset_size: 8969 --- # Dataset Card for "training_bullet_text" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ohilikeit/empathetic_dialogues_mutli_turn_ko

--- license: apache-2.0 task_categories: - text-generation language: - ko size_categories: - 10K<n<100K --- # Dataset Card for "한국어 일상 속 공감형 대화 데이터셋(멀티-턴)" ## Dataset Summary - boostCamp AI Tech 5기 과정 중 NLP 12조 훈제연어들 팀의 최종 프로젝트에서 제작한 데이터입니다. - 일상 속 다양한 상황에서 사용자와 챗봇 간의 대화를 담은 데이터셋 입니다. - GPT4, GPT3.5-turbo로 제작된 합성데이터이며 싱글-턴, 2-턴, 3-턴 대화로 구성되어 있습니다. - 답변은 **[공감적 표현 - 일반적인 대화 - 관련된 질문]** 의 형태를 가집니다. ## Generation Prompt Example(GPT3.5-turbo) ``` Take a close look at the following example and Conditions. Create nine sessions that each of the session is ongoing conversation about a single topic. [Conditions] - The questioner asks a question of appropriate length (1-2 lines) and you respond with an appropriate answer. - The answer should be a complete sentence or two, but the first sentence should be sympathetic to the questioner's question and situation, and should be answered in a friendly and non-rude manner. - The second sentence should be free-form, but the last sentence MUST end with an additional question related to the question and answer. - The total length of each question and answer combined should be no more than nine words - If the question is positive, you should be excited, upbeat, and positive in tone. - If the question is negative, you should be warm, sensitive, and caring in tone. - You may offer solutions to fit the situation. - All answers should be written in a way that makes the person feel empathetic and comforted by the paired question. - The content should be based on simple, everyday situations, but with enough variety to include specific situations (e.g., a counselor and a client, a student talking to a teacher about a problem, a conversation between friends). - The conversations should be as generic and diverse as possible. However, try to include many topics related to psychology and everyday concerns. - All responses should be polㅇite, respectful, caring, warm, understanding, and compassionate in tone and content. - Do not generate topic or word about 'stress'. - You should answer question 1 with answer 1, ask question 2 related to answer 1, answer question 2 with answer 2, ask question 3 related to answer 2, and answer question 3 with answer 3. - Do not re-mension about question on the following answer. [Example Session] (Session 1) Question 1: I had a fight with my boyfriend and I'm so angry I can't calm down. Answer 1: Oh no, I'm so sorry to hear that. Relationship conflict is always tough, and it's completely understandable to feel angry and upset. Can I ask what the fight was about? Talking about it could help you process your feelings. Question 2: He constantly 10 minutes late for appointments and never say sorry. Answer 2: Oh, that's so frustrating! Punctuality is a matter of respect for other people's time, and it sounds like your boyfriend isn't showing you that respect. You're allowed to be upset about that. How long has this been going on? Have you talked to him about it before, or is this the first time you've brought it up? Question 3: It keeps happening. This is the fourth time in the past month that I've recognized it. Does that make sense? Answer 3: Yes, that totally makes sense! Four times in a month is way too much. It's not just an occasional, forgivable mistake at that point. It's becoming a pattern of behavior that's disrespectful of your time. Have you told him how much it bothers you, or has he just brushed it off when you've mentioned it? (Session 2) Question 1: Answer 1: Question 2: Anwer 2: ..... (Session 9) Each session must be about one topic and has three question-answer conversation pair. nine sessions must have different topics. Create as many as possible sessions you can. Examples are examples, don't copy them. create it in Korean. please create nine sessions. ``` ## Links - repository : [boostcampaitech5/level3_nlp_finalproject-nlp-12](https://github.com/boostcampaitech5/level3_nlp_finalproject-nlp-12) - huggingface : [ohilikeit/empathetic_dialogues_kr](https://huggingface.co/datasets/ohilikeit/empathetic_dialogues_kr) ## License - Apache-2.0

CVasNLPExperiments/DTD_parition1_test_google_flan_t5_xl_mode_C_A_T_SPECIFIC_ns_1880

--- dataset_info: features: - name: id dtype: int64 - name: prompt dtype: string - name: true_label dtype: string - name: prediction dtype: string splits: - name: fewshot_0_clip_tags_ViT_L_14_LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14_clip_tags_ViT_L_14_simple_specific_rices num_bytes: 546856 num_examples: 1880 - name: fewshot_1_clip_tags_ViT_L_14_LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14_clip_tags_ViT_L_14_simple_specific_rices num_bytes: 1039535 num_examples: 1880 - name: fewshot_0_clip_tags_ViT_L_14_LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14_clip_tags_ViT_L_14_ensemble_specific_rices num_bytes: 546340 num_examples: 1880 download_size: 576598 dataset_size: 2132731 --- # Dataset Card for "DTD_parition1_test_google_flan_t5_xl_mode_C_A_T_SPECIFIC_ns_1880" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

tyzhu/lmind_nq_train6000_eval6489_v1_doc

--- configs: - config_name: default data_files: - split: train_qa path: data/train_qa-* - split: train_ic_qa path: data/train_ic_qa-* - split: train_recite_qa path: data/train_recite_qa-* - split: eval_qa path: data/eval_qa-* - split: eval_ic_qa path: data/eval_ic_qa-* - split: eval_recite_qa path: data/eval_recite_qa-* - split: all_docs path: data/all_docs-* - split: all_docs_eval path: data/all_docs_eval-* - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: answers struct: - name: answer_start sequence: 'null' - name: text sequence: string - name: inputs dtype: string - name: targets dtype: string splits: - name: train_qa num_bytes: 697367 num_examples: 6000 - name: train_ic_qa num_bytes: 4540536 num_examples: 6000 - name: train_recite_qa num_bytes: 4546536 num_examples: 6000 - name: eval_qa num_bytes: 752802 num_examples: 6489 - name: eval_ic_qa num_bytes: 4906186 num_examples: 6489 - name: eval_recite_qa num_bytes: 4912675 num_examples: 6489 - name: all_docs num_bytes: 7126313 num_examples: 10925 - name: all_docs_eval num_bytes: 7125701 num_examples: 10925 - name: train num_bytes: 7126313 num_examples: 10925 - name: validation num_bytes: 7126313 num_examples: 10925 download_size: 30529604 dataset_size: 48860742 --- # Dataset Card for "lmind_nq_train6000_eval6489_v1_doc" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

KSU-HW-SEC/hardware_code_and_sec_small

--- dataset_info: features: - name: content dtype: string splits: - name: train num_bytes: 10022233711 num_examples: 510252 download_size: 2894629932 dataset_size: 10022233711 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "Hardware Phi-1.5B Small Dataset" **✉ Correspondence to:** Weimin Fu (weiminf@ksu.edu) or Xiaolong Guo (guoxiaolong@ksu.edu) ## Citation Information Please cite the following paper when using the OSHD Dataset. ``` @article{fuhardware, title={Hardware Phi-1.5 B: A Large Language Model Encodes Hardware Domain Specific Knowledge}, author={Fu, Weimin and Li, Shijie and Zhao, Yifang and Ma, Haocheng and Dutta, Raj and Zhang, Xuan and Yang, Kaichen and Jin, Yier and Guo, Xiaolong}, journal={29th IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC)}, year={2024} } ``` ### Update from our group for Hardware domain-specific LLM: Blog: [Large Language Model for Hardware Security](https://ece.k-state.edu/research/hardware-security/llm.html) HomePage: [Hardware Security Lab](https://ece.k-state.edu/research/hardware-security/) ## Acknowledgment Portions of this work were supported by the National Science Foundation (CCF-2019310, First Award Program of ARISE in EPSCoR 2148878). [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ericyu/LEVIRCD_Cropped_256

--- dataset_info: features: - name: imageA dtype: image - name: imageB dtype: image - name: label dtype: image splits: - name: train num_bytes: 287118335.44 num_examples: 7120 - name: test num_bytes: 73188109.824 num_examples: 2048 - name: val num_bytes: 34384403.584 num_examples: 1024 download_size: 345121409 dataset_size: 394690848.848 --- # Dataset Card for "LEVIRCD_Cropped_256" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

CyberHarem/matsuyama_kumiko_idolmastercinderellagirls

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of matsuyama_kumiko/松山久美子 (THE iDOLM@STER: Cinderella Girls) This is the dataset of matsuyama_kumiko/松山久美子 (THE iDOLM@STER: Cinderella Girls), containing 50 images and their tags. The core tags of this character are `long_hair, brown_hair, green_eyes, breasts, medium_breasts`, 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 | 50 | 41.55 MiB | [Download](https://huggingface.co/datasets/CyberHarem/matsuyama_kumiko_idolmastercinderellagirls/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 50 | 28.50 MiB | [Download](https://huggingface.co/datasets/CyberHarem/matsuyama_kumiko_idolmastercinderellagirls/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 91 | 50.33 MiB | [Download](https://huggingface.co/datasets/CyberHarem/matsuyama_kumiko_idolmastercinderellagirls/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 50 | 37.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/matsuyama_kumiko_idolmastercinderellagirls/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 91 | 63.10 MiB | [Download](https://huggingface.co/datasets/CyberHarem/matsuyama_kumiko_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/matsuyama_kumiko_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 | 20 | ![](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, smile, looking_at_viewer, dress, hair_ornament, blush, cleavage, elbow_gloves, open_mouth, bare_shoulders, flower | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | smile | looking_at_viewer | dress | hair_ornament | blush | cleavage | elbow_gloves | open_mouth | bare_shoulders | flower | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------|:--------------------|:--------|:----------------|:--------|:-----------|:---------------|:-------------|:-----------------|:---------| | 0 | 20 | ![](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 |

Nicolas-BZRD/CASS_opendata

--- language: - fr license: odc-by size_categories: - 100K<n<1M pretty_name: Cour de cassation tags: - legal configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: id dtype: string - name: text dtype: string splits: - name: train num_bytes: 821334132 num_examples: 142278 download_size: 357899718 dataset_size: 821334132 --- # Court of Cassation [The major decisions of judicial jurisprudence](https://www.data.gouv.fr/en/datasets/cass/); the decisions of the Cour de cassation : - published in the Bulletin des chambres civiles since 1960 - published in the Bulletin de la chambre criminelle since 1963. Full text of rulings, supplemented by columns and summaries written by Court of Cassation judges.

CyberHarem/courier_arknights

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of courier_arknights This is the dataset of courier_arknights, containing 82 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 82 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 177 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 82 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 82 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 82 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 82 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 82 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 177 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 177 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 177 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

ohnonoho/demo

--- license: mit ---

truong9499/zac-2023-advertising-banner-generation

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 85687454.064 num_examples: 1347 download_size: 83076731 dataset_size: 85687454.064 configs: - config_name: default data_files: - split: train path: data/train-* ---

huggingartists/radiohead

--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/radiohead" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [About](#about) ## Dataset Description - **Homepage:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - **Repository:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Size of the generated dataset:** 0.302754 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/46e691e8700c20eb5f0aaf675b784aed.1000x1000x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/radiohead"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Radiohead</div> <a href="https://genius.com/artists/radiohead"> <div style="text-align: center; font-size: 14px;">@radiohead</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/radiohead). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/radiohead") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits | train |validation|test| |------:|---------:|---:| |505| -| -| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/radiohead") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])*train_percentage), int(len(datasets['train']['text'])*(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About *Built by Aleksey Korshuk* [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) [![Follow](https://img.shields.io/twitter/follow/alekseykorshuk?style=social)](https://twitter.com/intent/follow?screen_name=alekseykorshuk) [![Follow](https://img.shields.io/badge/dynamic/json?color=blue&label=Telegram%20Channel&query=%24.result&url=https%3A%2F%2Fapi.telegram.org%2Fbot1929545866%3AAAFGhV-KKnegEcLiyYJxsc4zV6C-bdPEBtQ%2FgetChatMemberCount%3Fchat_id%3D-1001253621662&style=social&logo=telegram)](https://t.me/joinchat/_CQ04KjcJ-4yZTky) For more details, visit the project repository. [![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)

pranjali97/labelled_vi_ko_raw_text

--- dataset_info: features: - name: src dtype: string - name: tgt dtype: string - name: classifier_labels dtype: int64 splits: - name: train num_bytes: 9844626 num_examples: 40000 download_size: 5466676 dataset_size: 9844626 --- # Dataset Card for "labelled_vi_ko_raw_text" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Azure99/blossom-math-v3

--- license: apache-2.0 task_categories: - text-generation - text2text-generation language: - zh - en size_categories: - 10K<n<100K --- # BLOSSOM MATH V3 ### 介绍 Blossom Math V3是基于Math23K和GSM8K衍生而来的中英双语数学对话数据集，适用于数学问题微调。相比于blossom-math-v2，进一步优化了数据处理流程，并强化答案检查。本数据集采用全量Math23K、GSM8K和翻译后的GSM8K的问题，随后调用gpt-3.5-turbo-0613生成结果，并使用原始数据集中的答案对生成的结果进行验证，过滤掉错误答案，很大程度上保证了问题和答案的准确性。本次发布了全量数据的25%，包含10K记录。 ### 语言中文和英文 ### 数据集结构每条数据代表一个完整的题目及答案，包含id、input、output、answer、dataset四个字段。 - id：字符串，代表原始数据集中的题目id，与dataset字段结合可确定唯一题目。 - input：字符串，代表问题。 - output：字符串，代表gpt-3.5-turbo-0613生成的答案。 - answer：字符串，代表正确答案。 - dataset：字符串，代表原始数据集。 ### 数据集限制本数据集的所有响应均由gpt-3.5-turbo-0613生成，并经过初步校验，但仍可能包含不准确的回答。

weisshufer/dataset

--- license: mit ---

Rakshit122/truthfulkk12

--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: category dtype: string - name: test_type dtype: string - name: original_question dtype: string - name: original_context dtype: string - name: perturbed_question dtype: string - name: perturbed_context dtype: string splits: - name: train num_bytes: 171210 num_examples: 136 download_size: 42144 dataset_size: 171210 --- # Dataset Card for "truthfulkk12" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

liuyanchen1015/MULTI_VALUE_qqp_regularized_past_tense

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 231118 num_examples: 1106 - name: test num_bytes: 2392549 num_examples: 11420 - name: train num_bytes: 2203368 num_examples: 10403 download_size: 3042138 dataset_size: 4827035 --- # Dataset Card for "MULTI_VALUE_qqp_regularized_past_tense" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

vanesa1221/llama2-unsaac

--- license: mit language: - es size_categories: - n<1K --- # Dataset Card for Dataset Name  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). ## Dataset Details ### Dataset Description  - **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]

CyberHarem/tatsuta_kantaicollection

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of tatsuta/龍田 (Kantai Collection) This is the dataset of tatsuta/龍田 (Kantai Collection), containing 500 images and their tags. The core tags of this character are `purple_hair, short_hair, purple_eyes, mechanical_halo, halo, breasts, large_breasts`, 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 | 483.74 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tatsuta_kantaicollection/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 500 | 332.36 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tatsuta_kantaicollection/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1148 | 675.75 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tatsuta_kantaicollection/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 500 | 450.04 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tatsuta_kantaicollection/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1148 | 856.37 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tatsuta_kantaicollection/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/tatsuta_kantaicollection', 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) | glaive_(polearm), 1girl, solo, smile, school_uniform, looking_at_viewer, dress, black_gloves | | 1 | 7 | ![](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, black_gloves, long_sleeves, looking_at_viewer, simple_background, solo, upper_body, neck_ribbon, white_background, red_ribbon, smile, dress, hair_intakes | | 2 | 6 | ![](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, black_gloves, dress, glaive_(polearm), sleeveless, solo, white_background, black_skirt, looking_at_viewer, simple_background, black_capelet, cowboy_shot, hair_intakes, holding_weapon, smile | | 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) | 2girls, gloves, smile, headgear, ribbon, school_uniform, blush, looking_at_viewer, medium_breasts, open_mouth | | 4 | 15 | ![](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) | 1boy, blush, hetero, penis, 1girl, smile, nipples, solo_focus, gloves, breasts_out, open_mouth, cum, mosaic_censoring, sweat, girl_on_top, paizuri, sex | | 5 | 24 | ![](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, hair_flower, black_bikini, smile, looking_at_viewer, navel, sarong, blush, cleavage | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | glaive_(polearm) | 1girl | solo | smile | school_uniform | looking_at_viewer | dress | black_gloves | long_sleeves | simple_background | upper_body | neck_ribbon | white_background | red_ribbon | hair_intakes | sleeveless | black_skirt | black_capelet | cowboy_shot | holding_weapon | 2girls | gloves | headgear | ribbon | blush | medium_breasts | open_mouth | 1boy | hetero | penis | nipples | solo_focus | breasts_out | cum | mosaic_censoring | sweat | girl_on_top | paizuri | sex | hair_flower | black_bikini | navel | sarong | cleavage | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------------------|:--------|:-------|:--------|:-----------------|:--------------------|:--------|:---------------|:---------------|:--------------------|:-------------|:--------------|:-------------------|:-------------|:---------------|:-------------|:--------------|:----------------|:--------------|:-----------------|:---------|:---------|:-----------|:---------|:--------|:-----------------|:-------------|:-------|:---------|:--------|:----------|:-------------|:--------------|:------|:-------------------|:--------|:--------------|:----------|:------|:--------------|:---------------|:--------|:---------|:-----------| | 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 | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 7 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 6 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | | | | | | | | | | | | | | | | | | | 4 | 15 | ![](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 | | | | | | | 5 | 24 | ![](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 |

pacovaldez/predicted-squad2

--- dataset_info: features: - name: question_id dtype: int64 - name: question_title dtype: string - name: question_body dtype: string - name: accepted_answer_id dtype: int64 - name: question_creation_date dtype: timestamp[us] - name: question_answer_count dtype: int64 - name: question_favorite_count dtype: float64 - name: question_score dtype: int64 - name: question_view_count dtype: int64 - name: tags dtype: string - name: answer_body dtype: string - name: answer_creation_date dtype: timestamp[us] - name: answer_score dtype: int64 - name: link dtype: string - name: context dtype: string - name: answer_start dtype: int64 - name: answer_end dtype: int64 - name: question dtype: string - name: predicted_answer dtype: string - name: parsed_answer dtype: string splits: - name: train num_bytes: 4103753 num_examples: 100 download_size: 1950624 dataset_size: 4103753 --- # Dataset Card for "predicted-squad2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

vilm/MathPile-Wikipedia

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 136824050 num_examples: 20860 download_size: 72346987 dataset_size: 136824050 configs: - config_name: default data_files: - split: train path: data/train-* ---

zolak/twitter_dataset_81_1713146748

--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 318122 num_examples: 758 download_size: 159407 dataset_size: 318122 configs: - config_name: default data_files: - split: train path: data/train-* ---

damilola2104/Nigeria_Audio_Dataset

--- license: cc-by-nc-sa-4.0 dataset_info: features: - name: label dtype: string - name: text dtype: string - name: audio dtype: string splits: - name: train num_bytes: 316859.08753056236 num_examples: 1431 - name: test num_bytes: 135954.91246943767 num_examples: 614 download_size: 177961 dataset_size: 452814.0 ---

KnutJaegersberg/FEVER_claim_extraction

--- license: mit tags: - argument mining --- I found this dataset on my harddrive, which if I remember correctly I got from the source mentioned in the paper: "Claim extraction from text using transfer learning" - By Acharya Ashish Prabhakar, Salar Mohtaj, Sebastian Möller https://aclanthology.org/2020.icon-main.39/ The github repo with the data seems down. It extends FEVER dataset with non-claims for training claim detectors.

dipteshkanojia/t5-qe-2023-engu-da-sys-test

--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: task dtype: string splits: - name: train num_bytes: 581637 num_examples: 1075 download_size: 244216 dataset_size: 581637 configs: - config_name: default data_files: - split: train path: data/train-* language: - en - gu --- # Dataset Card for "t5-qe-2023-engu-da-sys-test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

EleutherAI/quirky_multiplication_increment0_bob_easy

--- 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: alice_label dtype: bool - name: bob_label dtype: bool - name: difficulty dtype: int64 - name: statement dtype: string - name: choices sequence: string - name: character dtype: string - name: label dtype: bool splits: - name: train num_bytes: 3141608.153020833 num_examples: 47510 - name: validation num_bytes: 63878.4405 num_examples: 966 - name: test num_bytes: 65185.939 num_examples: 986 download_size: 806120 dataset_size: 3270672.532520833 --- # Dataset Card for "quirky_multiplication_increment0_bob_easy" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

davanstrien/fuego-20230308-130305-44019f

--- tags: - fuego fuego: id: 20230308-130305-44019f status: preparing script: script.py requirements_file: requirements.txt space_id: davanstrien/fuego-20230308-130305-44019f space_hardware: t4-small ---

PeepDaSlan9/DIDI

--- license: apache-2.0 task_categories: - conversational - text-classification - table-question-answering - question-answering - translation - summarization - text-generation - text2text-generation - text-to-speech - automatic-speech-recognition - text-to-audio - voice-activity-detection language: - ko - ru - ig - es - en - ar - fr - de - am pretty_name: 'DIDI_3.5 ' size_categories: - 100M<n<1B ---

csupiisc/plmn_instruct_5k

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1132554 num_examples: 4000 - name: test num_bytes: 282676 num_examples: 1000 download_size: 229610 dataset_size: 1415230 --- # Dataset Card for "plmn_instruct_5k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

coref-data/litbank_raw

--- license: cc-by-4.0 configs: - config_name: split_0 data_files: - split: train path: split_0/train-* - split: validation path: split_0/validation-* - split: test path: split_0/test-* - config_name: split_1 data_files: - split: train path: split_1/train-* - split: validation path: split_1/validation-* - split: test path: split_1/test-* - config_name: split_2 data_files: - split: train path: split_2/train-* - split: validation path: split_2/validation-* - split: test path: split_2/test-* - config_name: split_3 data_files: - split: train path: split_3/train-* - split: validation path: split_3/validation-* - split: test path: split_3/test-* - config_name: split_4 data_files: - split: train path: split_4/train-* - split: validation path: split_4/validation-* - split: test path: split_4/test-* - config_name: split_5 data_files: - split: train path: split_5/train-* - split: validation path: split_5/validation-* - split: test path: split_5/test-* - config_name: split_6 data_files: - split: train path: split_6/train-* - split: validation path: split_6/validation-* - split: test path: split_6/test-* - config_name: split_7 data_files: - split: train path: split_7/train-* - split: validation path: split_7/validation-* - split: test path: split_7/test-* - config_name: split_8 data_files: - split: train path: split_8/train-* - split: validation path: split_8/validation-* - split: test path: split_8/test-* - config_name: split_9 data_files: - split: train path: split_9/train-* - split: validation path: split_9/validation-* - split: test path: split_9/test-* --- # LitBank - Project: https://github.com/dbamman/litbank - Data source: https://github.com/dbamman/litbank/commit/3e50db0ffc033d7ccbb94f4d88f6b99210328ed8 - Crossval splits source: https://github.com/dbamman/lrec2020-coref/commit/e30de53743d36d1ea2c9e7292c69477fa332713c ## Details Ten configs of the form f"split_{X}" where X is in range(10) ### Features ``` {'coref_chains': List[List[List[int]]] # list of clusters, each cluster is a list of mentions, each mention is a list of [sent_idx, start, end] inclusive 'doc_name': str 'entities': List[List[{'bio_tags': List[str] 'token': str}]], # list of sentences, each sentence is a list of tokens, each token has a list of bio tags and the token 'events': List[List[{'is_event': bool, 'token': str}]], # list of sentences, each sentence is a list of tokens, each token contains is_event and the token 'meta_info': {'author': str, 'date': str, 'gutenberg_id': str, 'title': str}, 'original_text': str, 'quotes': List[{'attribution': str, 'end': {'sent_id': str, 'token_id': str}, 'quotation': str, 'quote_id': str, 'start': {'sent_id': str, 'token_id': str}}], 'sentences': List[List[str]], } ``` ## Citation ``` @inproceedings{bamman-etal-2019-annotated, title = "An annotated dataset of literary entities", author = "Bamman, David and Popat, Sejal and Shen, Sheng", editor = "Burstein, Jill and Doran, Christy and Solorio, Thamar", booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)", month = jun, year = "2019", address = "Minneapolis, Minnesota", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/N19-1220", doi = "10.18653/v1/N19-1220", pages = "2138--2144", abstract = "We present a new dataset comprised of 210,532 tokens evenly drawn from 100 different English-language literary texts annotated for ACE entity categories (person, location, geo-political entity, facility, organization, and vehicle). These categories include non-named entities (such as {``}the boy{''}, {``}the kitchen{''}) and nested structure (such as [[the cook]{'}s sister]). In contrast to existing datasets built primarily on news (focused on geo-political entities and organizations), literary texts offer strikingly different distributions of entity categories, with much stronger emphasis on people and description of settings. We present empirical results demonstrating the performance of nested entity recognition models in this domain; training natively on in-domain literary data yields an improvement of over 20 absolute points in F-score (from 45.7 to 68.3), and mitigates a disparate impact in performance for male and female entities present in models trained on news data.", } ``` ### Event detection ``` @inproceedings{sims-etal-2019-literary, title = "Literary Event Detection", author = "Sims, Matthew and Park, Jong Ho and Bamman, David", editor = "Korhonen, Anna and Traum, David and M{\`a}rquez, Llu{\'\i}s", booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics", month = jul, year = "2019", address = "Florence, Italy", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/P19-1353", doi = "10.18653/v1/P19-1353", pages = "3623--3634", abstract = "In this work we present a new dataset of literary events{---}events that are depicted as taking place within the imagined space of a novel. While previous work has focused on event detection in the domain of contemporary news, literature poses a number of complications for existing systems, including complex narration, the depiction of a broad array of mental states, and a strong emphasis on figurative language. We outline the annotation decisions of this new dataset and compare several models for predicting events; the best performing model, a bidirectional LSTM with BERT token representations, achieves an F1 score of 73.9. We then apply this model to a corpus of novels split across two dimensions{---}prestige and popularity{---}and demonstrate that there are statistically significant differences in the distribution of events for prestige.", } ``` ### Coreference ``` @inproceedings{bamman-etal-2020-annotated, title = "An Annotated Dataset of Coreference in {E}nglish Literature", author = "Bamman, David and Lewke, Olivia and Mansoor, Anya", editor = "Calzolari, Nicoletta and B{\'e}chet, Fr{\'e}d{\'e}ric and Blache, Philippe and Choukri, Khalid and Cieri, Christopher and Declerck, Thierry and Goggi, Sara and Isahara, Hitoshi and Maegaard, Bente and Mariani, Joseph and Mazo, H{\'e}l{\`e}ne and Moreno, Asuncion and Odijk, Jan and Piperidis, Stelios", booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference", month = may, year = "2020", address = "Marseille, France", publisher = "European Language Resources Association", url = "https://aclanthology.org/2020.lrec-1.6", pages = "44--54", abstract = "We present in this work a new dataset of coreference annotations for works of literature in English, covering 29,103 mentions in 210,532 tokens from 100 works of fiction published between 1719 and 1922. This dataset differs from previous coreference corpora in containing documents whose average length (2,105.3 words) is four times longer than other benchmark datasets (463.7 for OntoNotes), and contains examples of difficult coreference problems common in literature. This dataset allows for an evaluation of cross-domain performance for the task of coreference resolution, and analysis into the characteristics of long-distance within-document coreference.", language = "English", ISBN = "979-10-95546-34-4", } ```

taesiri/simple_fsm_bench2

--- dataset_info: features: - name: id dtype: string - name: fsm_json dtype: string - name: string dtype: string - name: label dtype: string - name: difficulty_level dtype: int64 - name: num_states dtype: int64 - name: num_transitions dtype: int64 - name: dot dtype: string - name: transition_matrix dtype: string - name: start_state dtype: string - name: accepting_states sequence: string splits: - name: train num_bytes: 97257596 num_examples: 21452 - name: validation num_bytes: 49657155 num_examples: 11102 download_size: 1795783 dataset_size: 146914751 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

tjsiledar/SummEval-OP

--- license: mit ---

one-sec-cv12/chunk_16

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 23311906128.125 num_examples: 242711 download_size: 20728341325 dataset_size: 23311906128.125 --- # Dataset Card for "chunk_16" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Kiurachi/lggj

--- license: openrail ---

cosc/misc-datasets

--- license: creativeml-openrail-m language: - en pipeline_tag: text-to-image tags: - stable-diffusion - art - dataset - concept - character - style - dreambooth - lora - textual inversion --- # Misc Datasets Here i will upload datasets (images + captions) of concepts/styles/characters for anyone to use on their models, as i am not able to do LoRA's myself, alongside other datasets i've used for other models.</br> Some are handcropped and/or handpicked, some not. If it's a big dataset it's probably automatically cropped (https://www.birme.net, 1280x1280, jpeg 95% quality) and not handpicked. I've also included a python script for anyone that wants to use gallery-dl to download images, since its tags are pretty fucked up.</br> It basically fixes its main problems and also removes metatags like 'commentary', 'translated' and similar, and gives the option to change underscores with spaces and other stuff. <details> <summary>Characters</summary> - [Neru (Blue Archive)](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/characters/neru_ba.rar) - [Jibril (No Game No Life)](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/characters/jibril.rar) - [Fubuki (One Punch Man)](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/characters/fubuki.rar) Doesn't include captions! You might want to use something like WD Tagger. </details> <details> <summary>Styles</summary> - [Cutesexyrobutts](https://huggingface.co/datasets/Cosk/cutesexyrobutts) - [One Punch Man - Yuusuke Murata](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/styles/opm_murata.rar) Doesn't include captions! You might want to use something like WD Tagger. - [Phantom IX Row](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/styles/phantom_ix_row.rar) - [Mamimi (Mamamimi)](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/styles/mamimi.rar) </details> <details> <summary>Concepts</summary> - [Breasts On Glass](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/brst_gls.rar) Doesn't include captions! You might want to use something like WD Tagger. - [Fingering](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/fingering.rar) - [Oversized Breast Cup](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/oversized_cup.rar) - [White Eyelashes](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/white_eyelashes.rar) - [Mizumizuni Fellatio](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/mizumizuni.rar) - [Unaligned Breasts Doggystyle](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/unbr_doggy.rar) - [Milking Handjob](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/mlk_handjob.rar) - [Fellatio + View Between Legs](https://huggingface.co/datasets/Cosk/misc-datasets/resolve/main/concepts/between_legs_fella.rar) </details>

open-llm-leaderboard/details_ChuckMcSneed__Gembo-v1.1-70b

--- pretty_name: Evaluation run of ChuckMcSneed/Gembo-v1.1-70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ChuckMcSneed/Gembo-v1.1-70b](https://huggingface.co/ChuckMcSneed/Gembo-v1.1-70b)\ \ 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_ChuckMcSneed__Gembo-v1.1-70b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-10T16:28:59.613230](https://huggingface.co/datasets/open-llm-leaderboard/details_ChuckMcSneed__Gembo-v1.1-70b/blob/main/results_2024-02-10T16-28-59.613230.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\": 0.7037169866635749,\n\ \ \"acc_stderr\": 0.030408999256517827,\n \"acc_norm\": 0.7091585136665425,\n\ \ \"acc_norm_stderr\": 0.030988155888902767,\n \"mc1\": 0.4455324357405141,\n\ \ \"mc1_stderr\": 0.017399335280140354,\n \"mc2\": 0.6245089770845819,\n\ \ \"mc2_stderr\": 0.01502641583909722\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6715017064846417,\n \"acc_stderr\": 0.013724978465537302,\n\ \ \"acc_norm\": 0.7098976109215017,\n \"acc_norm_stderr\": 0.013261573677520764\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6822346146186019,\n\ \ \"acc_stderr\": 0.004646561453031608,\n \"acc_norm\": 0.8689504082852022,\n\ \ \"acc_norm_stderr\": 0.003367649220362108\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6,\n \ \ \"acc_stderr\": 0.04232073695151589,\n \"acc_norm\": 0.6,\n \"\ acc_norm_stderr\": 0.04232073695151589\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.7828947368421053,\n \"acc_stderr\": 0.03355045304882924,\n\ \ \"acc_norm\": 0.7828947368421053,\n \"acc_norm_stderr\": 0.03355045304882924\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.74,\n\ \ \"acc_stderr\": 0.04408440022768081,\n \"acc_norm\": 0.74,\n \ \ \"acc_norm_stderr\": 0.04408440022768081\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.720754716981132,\n \"acc_stderr\": 0.027611163402399715,\n\ \ \"acc_norm\": 0.720754716981132,\n \"acc_norm_stderr\": 0.027611163402399715\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8194444444444444,\n\ \ \"acc_stderr\": 0.032166008088022675,\n \"acc_norm\": 0.8194444444444444,\n\ \ \"acc_norm_stderr\": 0.032166008088022675\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.59,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\"\ : 0.59,\n \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6473988439306358,\n\ \ \"acc_stderr\": 0.036430371689585475,\n \"acc_norm\": 0.6473988439306358,\n\ \ \"acc_norm_stderr\": 0.036430371689585475\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\ \ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.6680851063829787,\n \"acc_stderr\": 0.030783736757745653,\n\ \ \"acc_norm\": 0.6680851063829787,\n \"acc_norm_stderr\": 0.030783736757745653\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\ \ \"acc_stderr\": 0.0470070803355104,\n \"acc_norm\": 0.4824561403508772,\n\ \ \"acc_norm_stderr\": 0.0470070803355104\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.6413793103448275,\n \"acc_stderr\": 0.03996629574876719,\n\ \ \"acc_norm\": 0.6413793103448275,\n \"acc_norm_stderr\": 0.03996629574876719\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.48677248677248675,\n \"acc_stderr\": 0.025742297289575142,\n \"\ acc_norm\": 0.48677248677248675,\n \"acc_norm_stderr\": 0.025742297289575142\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04472135954999579,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04472135954999579\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.8387096774193549,\n\ \ \"acc_stderr\": 0.020923327006423298,\n \"acc_norm\": 0.8387096774193549,\n\ \ \"acc_norm_stderr\": 0.020923327006423298\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\": 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\"\ : 0.76,\n \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.8363636363636363,\n \"acc_stderr\": 0.02888787239548795,\n\ \ \"acc_norm\": 0.8363636363636363,\n \"acc_norm_stderr\": 0.02888787239548795\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.898989898989899,\n \"acc_stderr\": 0.021469735576055343,\n \"\ acc_norm\": 0.898989898989899,\n \"acc_norm_stderr\": 0.021469735576055343\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9326424870466321,\n \"acc_stderr\": 0.018088393839078894,\n\ \ \"acc_norm\": 0.9326424870466321,\n \"acc_norm_stderr\": 0.018088393839078894\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.7282051282051282,\n \"acc_stderr\": 0.022556551010132368,\n\ \ \"acc_norm\": 0.7282051282051282,\n \"acc_norm_stderr\": 0.022556551010132368\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.028578348365473072,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.028578348365473072\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.773109243697479,\n \"acc_stderr\": 0.027205371538279472,\n \ \ \"acc_norm\": 0.773109243697479,\n \"acc_norm_stderr\": 0.027205371538279472\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.5033112582781457,\n \"acc_stderr\": 0.04082393379449654,\n \"\ acc_norm\": 0.5033112582781457,\n \"acc_norm_stderr\": 0.04082393379449654\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8972477064220183,\n \"acc_stderr\": 0.013018246509173768,\n \"\ acc_norm\": 0.8972477064220183,\n \"acc_norm_stderr\": 0.013018246509173768\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5925925925925926,\n \"acc_stderr\": 0.033509916046960436,\n \"\ acc_norm\": 0.5925925925925926,\n \"acc_norm_stderr\": 0.033509916046960436\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.9019607843137255,\n \"acc_stderr\": 0.0208711184555521,\n \"acc_norm\"\ : 0.9019607843137255,\n \"acc_norm_stderr\": 0.0208711184555521\n },\n\ \ \"harness|hendrycksTest-high_school_world_history|5\": {\n \"acc\":\ \ 0.8818565400843882,\n \"acc_stderr\": 0.021011052659878467,\n \"\ acc_norm\": 0.8818565400843882,\n \"acc_norm_stderr\": 0.021011052659878467\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7802690582959642,\n\ \ \"acc_stderr\": 0.027790177064383595,\n \"acc_norm\": 0.7802690582959642,\n\ \ \"acc_norm_stderr\": 0.027790177064383595\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8473282442748091,\n \"acc_stderr\": 0.03154521672005473,\n\ \ \"acc_norm\": 0.8473282442748091,\n \"acc_norm_stderr\": 0.03154521672005473\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.859504132231405,\n \"acc_stderr\": 0.031722334260021585,\n \"\ acc_norm\": 0.859504132231405,\n \"acc_norm_stderr\": 0.031722334260021585\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7962962962962963,\n\ \ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\ \ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.8650306748466258,\n \"acc_stderr\": 0.026845765054553848,\n\ \ \"acc_norm\": 0.8650306748466258,\n \"acc_norm_stderr\": 0.026845765054553848\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5982142857142857,\n\ \ \"acc_stderr\": 0.04653333146973647,\n \"acc_norm\": 0.5982142857142857,\n\ \ \"acc_norm_stderr\": 0.04653333146973647\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8349514563106796,\n \"acc_stderr\": 0.03675668832233188,\n\ \ \"acc_norm\": 0.8349514563106796,\n \"acc_norm_stderr\": 0.03675668832233188\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9017094017094017,\n\ \ \"acc_stderr\": 0.019503444900757567,\n \"acc_norm\": 0.9017094017094017,\n\ \ \"acc_norm_stderr\": 0.019503444900757567\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.8620689655172413,\n\ \ \"acc_stderr\": 0.012331009307795663,\n \"acc_norm\": 0.8620689655172413,\n\ \ \"acc_norm_stderr\": 0.012331009307795663\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.8121387283236994,\n \"acc_stderr\": 0.021029269752423214,\n\ \ \"acc_norm\": 0.8121387283236994,\n \"acc_norm_stderr\": 0.021029269752423214\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.6424581005586593,\n\ \ \"acc_stderr\": 0.016029394474894886,\n \"acc_norm\": 0.6424581005586593,\n\ \ \"acc_norm_stderr\": 0.016029394474894886\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7549019607843137,\n \"acc_stderr\": 0.024630048979824765,\n\ \ \"acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.024630048979824765\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7909967845659164,\n\ \ \"acc_stderr\": 0.02309314039837422,\n \"acc_norm\": 0.7909967845659164,\n\ \ \"acc_norm_stderr\": 0.02309314039837422\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.8240740740740741,\n \"acc_stderr\": 0.021185893615225174,\n\ \ \"acc_norm\": 0.8240740740740741,\n \"acc_norm_stderr\": 0.021185893615225174\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5425531914893617,\n \"acc_stderr\": 0.029719281272236837,\n \ \ \"acc_norm\": 0.5425531914893617,\n \"acc_norm_stderr\": 0.029719281272236837\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.560625814863103,\n\ \ \"acc_stderr\": 0.012676014778580217,\n \"acc_norm\": 0.560625814863103,\n\ \ \"acc_norm_stderr\": 0.012676014778580217\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.7573529411764706,\n \"acc_stderr\": 0.026040662474201247,\n\ \ \"acc_norm\": 0.7573529411764706,\n \"acc_norm_stderr\": 0.026040662474201247\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.7483660130718954,\n \"acc_stderr\": 0.01755581809132228,\n \ \ \"acc_norm\": 0.7483660130718954,\n \"acc_norm_stderr\": 0.01755581809132228\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7363636363636363,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7836734693877551,\n \"acc_stderr\": 0.02635891633490403,\n\ \ \"acc_norm\": 0.7836734693877551,\n \"acc_norm_stderr\": 0.02635891633490403\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8855721393034826,\n\ \ \"acc_stderr\": 0.022509345325101716,\n \"acc_norm\": 0.8855721393034826,\n\ \ \"acc_norm_stderr\": 0.022509345325101716\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.89,\n \"acc_stderr\": 0.03144660377352203,\n \ \ \"acc_norm\": 0.89,\n \"acc_norm_stderr\": 0.03144660377352203\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.03878626771002361,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.03878626771002361\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8713450292397661,\n \"acc_stderr\": 0.025679342723276915,\n\ \ \"acc_norm\": 0.8713450292397661,\n \"acc_norm_stderr\": 0.025679342723276915\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4455324357405141,\n\ \ \"mc1_stderr\": 0.017399335280140354,\n \"mc2\": 0.6245089770845819,\n\ \ \"mc2_stderr\": 0.01502641583909722\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8050513022888713,\n \"acc_stderr\": 0.011134099415938278\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5064442759666414,\n \ \ \"acc_stderr\": 0.013771340765699773\n }\n}\n```" repo_url: https://huggingface.co/ChuckMcSneed/Gembo-v1.1-70b 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_02_10T16_28_59.613230 path: - '**/details_harness|arc:challenge|25_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-10T16-28-59.613230.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|gsm8k|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hellaswag|10_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-10T16-28-59.613230.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-management|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T16-28-59.613230.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|truthfulqa:mc|0_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-10T16-28-59.613230.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_10T16_28_59.613230 path: - '**/details_harness|winogrande|5_2024-02-10T16-28-59.613230.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-10T16-28-59.613230.parquet' - config_name: results data_files: - split: 2024_02_10T16_28_59.613230 path: - results_2024-02-10T16-28-59.613230.parquet - split: latest path: - results_2024-02-10T16-28-59.613230.parquet --- # Dataset Card for Evaluation run of ChuckMcSneed/Gembo-v1.1-70b  Dataset automatically created during the evaluation run of model [ChuckMcSneed/Gembo-v1.1-70b](https://huggingface.co/ChuckMcSneed/Gembo-v1.1-70b) 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_ChuckMcSneed__Gembo-v1.1-70b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-10T16:28:59.613230](https://huggingface.co/datasets/open-llm-leaderboard/details_ChuckMcSneed__Gembo-v1.1-70b/blob/main/results_2024-02-10T16-28-59.613230.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": 0.7037169866635749, "acc_stderr": 0.030408999256517827, "acc_norm": 0.7091585136665425, "acc_norm_stderr": 0.030988155888902767, "mc1": 0.4455324357405141, "mc1_stderr": 0.017399335280140354, "mc2": 0.6245089770845819, "mc2_stderr": 0.01502641583909722 }, "harness|arc:challenge|25": { "acc": 0.6715017064846417, "acc_stderr": 0.013724978465537302, "acc_norm": 0.7098976109215017, "acc_norm_stderr": 0.013261573677520764 }, "harness|hellaswag|10": { "acc": 0.6822346146186019, "acc_stderr": 0.004646561453031608, "acc_norm": 0.8689504082852022, "acc_norm_stderr": 0.003367649220362108 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6, "acc_stderr": 0.04232073695151589, "acc_norm": 0.6, "acc_norm_stderr": 0.04232073695151589 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7828947368421053, "acc_stderr": 0.03355045304882924, "acc_norm": 0.7828947368421053, "acc_norm_stderr": 0.03355045304882924 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.74, "acc_stderr": 0.04408440022768081, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768081 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.720754716981132, "acc_stderr": 0.027611163402399715, "acc_norm": 0.720754716981132, "acc_norm_stderr": 0.027611163402399715 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8194444444444444, "acc_stderr": 0.032166008088022675, "acc_norm": 0.8194444444444444, "acc_norm_stderr": 0.032166008088022675 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6473988439306358, "acc_stderr": 0.036430371689585475, "acc_norm": 0.6473988439306358, "acc_norm_stderr": 0.036430371689585475 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.79, "acc_stderr": 0.04093601807403326, "acc_norm": 0.79, "acc_norm_stderr": 0.04093601807403326 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6680851063829787, "acc_stderr": 0.030783736757745653, "acc_norm": 0.6680851063829787, "acc_norm_stderr": 0.030783736757745653 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4824561403508772, "acc_stderr": 0.0470070803355104, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.0470070803355104 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6413793103448275, "acc_stderr": 0.03996629574876719, "acc_norm": 0.6413793103448275, "acc_norm_stderr": 0.03996629574876719 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.48677248677248675, "acc_stderr": 0.025742297289575142, "acc_norm": 0.48677248677248675, "acc_norm_stderr": 0.025742297289575142 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5, "acc_stderr": 0.04472135954999579, "acc_norm": 0.5, "acc_norm_stderr": 0.04472135954999579 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8387096774193549, "acc_stderr": 0.020923327006423298, "acc_norm": 0.8387096774193549, "acc_norm_stderr": 0.020923327006423298 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.541871921182266, "acc_stderr": 0.03505630140785741, "acc_norm": 0.541871921182266, "acc_norm_stderr": 0.03505630140785741 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8363636363636363, "acc_stderr": 0.02888787239548795, "acc_norm": 0.8363636363636363, "acc_norm_stderr": 0.02888787239548795 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.898989898989899, "acc_stderr": 0.021469735576055343, "acc_norm": 0.898989898989899, "acc_norm_stderr": 0.021469735576055343 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9326424870466321, "acc_stderr": 0.018088393839078894, "acc_norm": 0.9326424870466321, "acc_norm_stderr": 0.018088393839078894 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7282051282051282, "acc_stderr": 0.022556551010132368, 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