| --- |
| pretty_name: Evaluation run of 01-ai/Yi-9B |
| dataset_summary: "Dataset automatically created during the evaluation run of model\ |
| \ [01-ai/Yi-9B](https://huggingface.co/01-ai/Yi-9B)\nThe dataset is composed of\ |
| \ 44 configuration(s), each one corresponding to one of the evaluated task.\n\n\ |
| 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.\n\nAn additional\ |
| \ configuration \"results\" store all the aggregated results of the run.\n\nTo load\ |
| \ the details from a run, you can for instance do the following:\n```python\nfrom\ |
| \ datasets import load_dataset\ndata = load_dataset(\n\t\"HuggingFaceEvalInternal/01-ai__Yi-9B-details-private\"\ |
| ,\n\tname=\"01-ai__Yi-9B__leaderboard_arc_challenge\",\n\tsplit=\"latest\"\n)\n\ |
| ```\n\n## Latest results\n\nThese are the [latest results from run 2024-06-17T09-47-58.683900](https://huggingface.co/datasets/HuggingFaceEvalInternal/01-ai__Yi-9B-details-private/blob/main/01-ai__Yi-9B/results_2024-06-17T09-47-58.683900.json)\ |
| \ (note that there 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 \"leaderboard\": {\n\ |
| \ \"inst_level_strict_acc,none\": 0.3273381294964029,\n \"\ |
| inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ |
| : 0.2144177449168207,\n \"prompt_level_strict_acc_stderr,none\": 0.017661570312173917,\n\ |
| \ \"acc,none\": 0.3755680096940321,\n \"acc_stderr,none\"\ |
| : 0.004184075920207844,\n \"inst_level_loose_acc,none\": 0.34172661870503596,\n\ |
| \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"exact_match,none\"\ |
| : 0.04380664652567976,\n \"exact_match_stderr,none\": 0.005580988274930964,\n\ |
| \ \"acc_norm,none\": 0.4766355140186916,\n \"acc_norm_stderr,none\"\ |
| : 0.004988616019907735,\n \"prompt_level_loose_acc,none\": 0.22920517560073936,\n\ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01808775742495531,\n \ |
| \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_arc_challenge\"\ |
| : {\n \"acc,none\": 0.5622866894197952,\n \"acc_stderr,none\"\ |
| : 0.01449757388110828,\n \"acc_norm,none\": 0.60580204778157,\n \ |
| \ \"acc_norm_stderr,none\": 0.014280522667467325,\n \"alias\":\ |
| \ \" - leaderboard_arc_challenge\"\n },\n \"leaderboard_bbh\": {\n\ |
| \ \"acc_norm,none\": 0.492622808540184,\n \"acc_norm_stderr,none\"\ |
| : 0.006133743025116686,\n \"alias\": \" - leaderboard_bbh\"\n \ |
| \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\"\ |
| : 0.804,\n \"acc_norm_stderr,none\": 0.02515685731325593,\n \ |
| \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \ |
| \ \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5935828877005348,\n\ |
| \ \"acc_norm_stderr,none\": 0.03601390435857443,\n \"alias\"\ |
| : \" - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ |
| : {\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\"\ |
| : 0.031514387611153515,\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ |
| \n },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\"\ |
| : 0.592,\n \"acc_norm_stderr,none\": 0.031145209846548495,\n \ |
| \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"\ |
| leaderboard_bbh_formal_fallacies\": {\n \"acc_norm,none\": 0.492,\n \ |
| \ \"acc_norm_stderr,none\": 0.0316821564314138,\n \"alias\"\ |
| : \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
| : {\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\"\ |
| : 0.030562070620993163,\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
| \n },\n \"leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\"\ |
| : 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028128,\n \ |
| \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.292,\n \"acc_norm_stderr,none\"\ |
| : 0.028814320402205655,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
| \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955241044,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.432,\n \"acc_norm_stderr,none\": 0.031391810765429407,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
| acc_norm,none\": 0.864,\n \"acc_norm_stderr,none\": 0.021723342617052055,\n\ |
| \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ |
| \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.508,\n\ |
| \ \"acc_norm_stderr,none\": 0.031682156431413803,\n \"alias\"\ |
| : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\"\ |
| : 0.030562070620993163,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
| \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
| acc_norm,none\": 0.4452054794520548,\n \"acc_norm_stderr,none\": 0.04127264774457449,\n\ |
| \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ |
| \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ |
| : 0.708,\n \"acc_norm_stderr,none\": 0.028814320402205645,\n \ |
| \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\"\ |
| : 0.03164968895968782,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ |
| \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ |
| : 0.5842696629213483,\n \"acc_norm_stderr,none\": 0.037044683959609664,\n\ |
| \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.796,\n \"acc_norm_stderr,none\"\ |
| : 0.025537121574548172,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ |
| \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ |
| acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.03163648953154439,\n\ |
| \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ |
| \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"acc_norm,none\": 0.176,\n \"acc_norm_stderr,none\": 0.024133497525457116,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| : {\n \"acc_norm,none\": 0.108,\n \"acc_norm_stderr,none\"\ |
| : 0.01966955938156875,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\"\ |
| : 0.030020073605457907,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ |
| : 0.484,\n \"acc_norm_stderr,none\": 0.03166998503010742,\n \ |
| \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ |
| : {\n \"acc_norm,none\": 0.3179530201342282,\n \"acc_norm_stderr,none\"\ |
| : 0.01349977712928275,\n \"alias\": \" - leaderboard_gpqa\"\n \ |
| \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.29292929292929293,\n\ |
| \ \"acc_norm_stderr,none\": 0.032424979581788166,\n \"alias\"\ |
| : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ |
| : {\n \"acc_norm,none\": 0.32967032967032966,\n \"acc_norm_stderr,none\"\ |
| : 0.02013658878964548,\n \"alias\": \" - leaderboard_gpqa_extended\"\ |
| \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ |
| : 0.31473214285714285,\n \"acc_norm_stderr,none\": 0.021965797142222642,\n\ |
| \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ |
| : {\n \"prompt_level_strict_acc,none\": 0.2144177449168207,\n \ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.017661570312173917,\n \ |
| \ \"inst_level_strict_acc,none\": 0.3273381294964029,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.22920517560073936,\n\ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01808775742495531,\n \ |
| \ \"inst_level_loose_acc,none\": 0.34172661870503596,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ |
| \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.04380664652567976,\n\ |
| \ \"exact_match_stderr,none\": 0.005580988274930964,\n \"\ |
| alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.07166123778501629,\n \"exact_match_stderr,none\"\ |
| : 0.0147446572559424,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ |
| \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ |
| \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ |
| \ \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\n \ |
| \ },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
| : 0.045454545454545456,\n \"exact_match_stderr,none\": 0.018199158975632748,\n\ |
| \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ |
| \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ |
| : 0.017857142857142856,\n \"exact_match_stderr,none\": 0.007928503387888839,\n\ |
| \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ |
| \ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.05194805194805195,\n \"exact_match_stderr,none\": 0.017941344490765024,\n\ |
| \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ |
| \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ |
| : 0.08290155440414508,\n \"exact_match_stderr,none\": 0.01989934131572178,\n\ |
| \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ |
| \ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
| : 0.007407407407407408,\n \"exact_match_stderr,none\": 0.007407407407407407,\n\ |
| \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ |
| \ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.35738031914893614,\n\ |
| \ \"acc_stderr,none\": 0.004369094757259934,\n \"alias\":\ |
| \ \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ |
| \ \"acc_norm,none\": 0.40476190476190477,\n \"acc_norm_stderr,none\"\ |
| : 0.017504592702130724,\n \"alias\": \" - leaderboard_musr\"\n \ |
| \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ |
| : 0.548,\n \"acc_norm_stderr,none\": 0.03153986449255662,\n \ |
| \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"\ |
| leaderboard_musr_object_placements\": {\n \"acc_norm,none\": 0.32421875,\n\ |
| \ \"acc_norm_stderr,none\": 0.029312444800629493,\n \"alias\"\ |
| : \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"acc_norm,none\": 0.344,\n \"acc_norm_stderr,none\"\ |
| : 0.03010450339231639,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
| \n }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ |
| : 0.3273381294964029,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ |
| \ \"prompt_level_strict_acc,none\": 0.2144177449168207,\n \"prompt_level_strict_acc_stderr,none\"\ |
| : 0.017661570312173917,\n \"acc,none\": 0.3755680096940321,\n \"acc_stderr,none\"\ |
| : 0.004184075920207844,\n \"inst_level_loose_acc,none\": 0.34172661870503596,\n\ |
| \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"exact_match,none\"\ |
| : 0.04380664652567976,\n \"exact_match_stderr,none\": 0.005580988274930964,\n\ |
| \ \"acc_norm,none\": 0.4766355140186916,\n \"acc_norm_stderr,none\"\ |
| : 0.004988616019907735,\n \"prompt_level_loose_acc,none\": 0.22920517560073936,\n\ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01808775742495531,\n \"\ |
| alias\": \"leaderboard\"\n },\n \"leaderboard_arc_challenge\": {\n \ |
| \ \"acc,none\": 0.5622866894197952,\n \"acc_stderr,none\": 0.01449757388110828,\n\ |
| \ \"acc_norm,none\": 0.60580204778157,\n \"acc_norm_stderr,none\"\ |
| : 0.014280522667467325,\n \"alias\": \" - leaderboard_arc_challenge\"\n \ |
| \ },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.492622808540184,\n\ |
| \ \"acc_norm_stderr,none\": 0.006133743025116686,\n \"alias\": \"\ |
| \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ |
| \ \"acc_norm,none\": 0.804,\n \"acc_norm_stderr,none\": 0.02515685731325593,\n\ |
| \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ |
| leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5935828877005348,\n\ |
| \ \"acc_norm_stderr,none\": 0.03601390435857443,\n \"alias\": \" \ |
| \ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ |
| : {\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.031514387611153515,\n\ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
| : {\n \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.031145209846548495,\n\ |
| \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
| : {\n \"acc_norm,none\": 0.492,\n \"acc_norm_stderr,none\": 0.0316821564314138,\n\ |
| \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
| : {\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\": 0.030562070620993163,\n\ |
| \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ |
| : {\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028128,\n\ |
| \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.292,\n \"acc_norm_stderr,none\": 0.028814320402205655,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ |
| \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ |
| : 0.32,\n \"acc_norm_stderr,none\": 0.029561724955241044,\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.432,\n \"acc_norm_stderr,none\": 0.031391810765429407,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ |
| : 0.864,\n \"acc_norm_stderr,none\": 0.021723342617052055,\n \"alias\"\ |
| : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ |
| : {\n \"acc_norm,none\": 0.508,\n \"acc_norm_stderr,none\": 0.031682156431413803,\n\ |
| \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\": 0.030562070620993163,\n\ |
| \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ |
| : {\n \"acc_norm,none\": 0.4452054794520548,\n \"acc_norm_stderr,none\"\ |
| : 0.04127264774457449,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ |
| \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499,\n \ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.708,\n\ |
| \ \"acc_norm_stderr,none\": 0.028814320402205645,\n \"alias\": \"\ |
| \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968782,\n\ |
| \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ |
| \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.5842696629213483,\n\ |
| \ \"acc_norm_stderr,none\": 0.037044683959609664,\n \"alias\": \"\ |
| \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.796,\n \"acc_norm_stderr,none\": 0.025537121574548172,\n\ |
| \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ |
| leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.528,\n \ |
| \ \"acc_norm_stderr,none\": 0.03163648953154439,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"acc_norm,none\": 0.176,\n \"acc_norm_stderr,none\": 0.024133497525457116,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.108,\n \"acc_norm_stderr,none\": 0.01966955938156875,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457907,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.484,\n\ |
| \ \"acc_norm_stderr,none\": 0.03166998503010742,\n \"alias\": \" \ |
| \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ |
| \ \"acc_norm,none\": 0.3179530201342282,\n \"acc_norm_stderr,none\": 0.01349977712928275,\n\ |
| \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ |
| : {\n \"acc_norm,none\": 0.29292929292929293,\n \"acc_norm_stderr,none\"\ |
| : 0.032424979581788166,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ |
| \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.32967032967032966,\n\ |
| \ \"acc_norm_stderr,none\": 0.02013658878964548,\n \"alias\": \" \ |
| \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ |
| \ \"acc_norm,none\": 0.31473214285714285,\n \"acc_norm_stderr,none\":\ |
| \ 0.021965797142222642,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ |
| \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.2144177449168207,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.017661570312173917,\n \ |
| \ \"inst_level_strict_acc,none\": 0.3273381294964029,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.22920517560073936,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01808775742495531,\n \"inst_level_loose_acc,none\"\ |
| : 0.34172661870503596,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ |
| \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ |
| : {\n \"exact_match,none\": 0.04380664652567976,\n \"exact_match_stderr,none\"\ |
| : 0.005580988274930964,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ |
| \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.07166123778501629,\n\ |
| \ \"exact_match_stderr,none\": 0.0147446572559424,\n \"alias\": \"\ |
| \ - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ |
| \ \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\n },\n \ |
| \ \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\": 0.045454545454545456,\n\ |
| \ \"exact_match_stderr,none\": 0.018199158975632748,\n \"alias\":\ |
| \ \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.017857142857142856,\n \"exact_match_stderr,none\"\ |
| : 0.007928503387888839,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ |
| \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.05194805194805195,\n \"exact_match_stderr,none\": 0.017941344490765024,\n\ |
| \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ |
| : {\n \"exact_match,none\": 0.08290155440414508,\n \"exact_match_stderr,none\"\ |
| : 0.01989934131572178,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
| \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
| : 0.007407407407407408,\n \"exact_match_stderr,none\": 0.007407407407407407,\n\ |
| \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ |
| : {\n \"acc,none\": 0.35738031914893614,\n \"acc_stderr,none\": 0.004369094757259934,\n\ |
| \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ |
| : {\n \"acc_norm,none\": 0.40476190476190477,\n \"acc_norm_stderr,none\"\ |
| : 0.017504592702130724,\n \"alias\": \" - leaderboard_musr\"\n },\n \ |
| \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.548,\n\ |
| \ \"acc_norm_stderr,none\": 0.03153986449255662,\n \"alias\": \" \ |
| \ - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ |
| : {\n \"acc_norm,none\": 0.32421875,\n \"acc_norm_stderr,none\": 0.029312444800629493,\n\ |
| \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"acc_norm,none\": 0.344,\n \"acc_norm_stderr,none\": 0.03010450339231639,\n\ |
| \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" |
| repo_url: https://huggingface.co/01-ai/Yi-9B |
| leaderboard_url: '' |
| point_of_contact: '' |
| configs: |
| - config_name: 01-ai__Yi-9B__leaderboard_arc_challenge |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_arc_challenge_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_arc_challenge_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_date_understanding_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_navigate_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_object_counting_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_ruin_names_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_snarks_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_date_understanding_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_navigate_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_object_counting_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_ruin_names_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_snarks_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_boolean_expressions |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_causal_judgement |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_date_understanding |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_disambiguation_qa |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_formal_fallacies |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_geometric_shapes |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_hyperbaton |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_logical_deduction_five_objects |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_logical_deduction_seven_objects |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_logical_deduction_three_objects |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_movie_recommendation |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_navigate |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_object_counting |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_penguins_in_a_table |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_reasoning_about_colored_objects |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_ruin_names |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_salient_translation_error_detection |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_snarks |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_sports_understanding |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_temporal_sequences |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_tracking_shuffled_objects_five_objects |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_tracking_shuffled_objects_three_objects |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_bbh_web_of_lies |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_gpqa |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_gpqa_extended_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_gpqa_main_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_gpqa_extended_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_gpqa_main_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_gpqa_diamond |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_gpqa_extended |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_gpqa_main |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_ifeval |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_ifeval_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_ifeval_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_math |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_geometry_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_num_theory_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_precalculus_hard_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_geometry_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_num_theory_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_math_precalculus_hard_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_math_algebra_hard |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_math_counting_and_prob_hard |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_math_geometry_hard |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_math_intermediate_algebra_hard |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_math_num_theory_hard |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_math_prealgebra_hard |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_math_precalculus_hard |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_mmlu_pro |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_musr |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_musr_object_placements_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_musr_team_allocation_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_musr_object_placements_2024-06-17T09-47-58.683900.json' |
| - '**/samples_leaderboard_musr_team_allocation_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_musr_murder_mysteries |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_musr_object_placements |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__leaderboard_musr_team_allocation |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-06-17T09-47-58.683900.json' |
| - config_name: 01-ai__Yi-9B__results |
| data_files: |
| - split: 2024_06_17T09_47_58.683900 |
| path: |
| - '**/results_2024-06-17T09-47-58.683900.json' |
| - split: latest |
| path: |
| - '**/results_2024-06-17T09-47-58.683900.json' |
| --- |
| |
| # Dataset Card for Evaluation run of 01-ai/Yi-9B |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| Dataset automatically created during the evaluation run of model [01-ai/Yi-9B](https://huggingface.co/01-ai/Yi-9B) |
| The dataset is composed of 44 configuration(s), each one corresponding 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. |
|
|
| To load the details from a run, you can for instance do the following: |
| ```python |
| from datasets import load_dataset |
| data = load_dataset( |
| "HuggingFaceEvalInternal/01-ai__Yi-9B-details-private", |
| name="01-ai__Yi-9B__leaderboard_arc_challenge", |
| split="latest" |
| ) |
| ``` |
|
|
| ## Latest results |
|
|
| These are the [latest results from run 2024-06-17T09-47-58.683900](https://huggingface.co/datasets/HuggingFaceEvalInternal/01-ai__Yi-9B-details-private/blob/main/01-ai__Yi-9B/results_2024-06-17T09-47-58.683900.json) (note that there 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": { |
| "leaderboard": { |
| "inst_level_strict_acc,none": 0.3273381294964029, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_strict_acc,none": 0.2144177449168207, |
| "prompt_level_strict_acc_stderr,none": 0.017661570312173917, |
| "acc,none": 0.3755680096940321, |
| "acc_stderr,none": 0.004184075920207844, |
| "inst_level_loose_acc,none": 0.34172661870503596, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "exact_match,none": 0.04380664652567976, |
| "exact_match_stderr,none": 0.005580988274930964, |
| "acc_norm,none": 0.4766355140186916, |
| "acc_norm_stderr,none": 0.004988616019907735, |
| "prompt_level_loose_acc,none": 0.22920517560073936, |
| "prompt_level_loose_acc_stderr,none": 0.01808775742495531, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_arc_challenge": { |
| "acc,none": 0.5622866894197952, |
| "acc_stderr,none": 0.01449757388110828, |
| "acc_norm,none": 0.60580204778157, |
| "acc_norm_stderr,none": 0.014280522667467325, |
| "alias": " - leaderboard_arc_challenge" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.492622808540184, |
| "acc_norm_stderr,none": 0.006133743025116686, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.804, |
| "acc_norm_stderr,none": 0.02515685731325593, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5935828877005348, |
| "acc_norm_stderr,none": 0.03601390435857443, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.552, |
| "acc_norm_stderr,none": 0.031514387611153515, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.592, |
| "acc_norm_stderr,none": 0.031145209846548495, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.492, |
| "acc_norm_stderr,none": 0.0316821564314138, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.368, |
| "acc_norm_stderr,none": 0.030562070620993163, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.564, |
| "acc_norm_stderr,none": 0.03142556706028128, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.292, |
| "acc_norm_stderr,none": 0.028814320402205655, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.32, |
| "acc_norm_stderr,none": 0.029561724955241044, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.432, |
| "acc_norm_stderr,none": 0.031391810765429407, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.864, |
| "acc_norm_stderr,none": 0.021723342617052055, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.508, |
| "acc_norm_stderr,none": 0.031682156431413803, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.368, |
| "acc_norm_stderr,none": 0.030562070620993163, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.4452054794520548, |
| "acc_norm_stderr,none": 0.04127264774457449, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.46, |
| "acc_norm_stderr,none": 0.031584653891499, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.708, |
| "acc_norm_stderr,none": 0.028814320402205645, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.476, |
| "acc_norm_stderr,none": 0.03164968895968782, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.5842696629213483, |
| "acc_norm_stderr,none": 0.037044683959609664, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.796, |
| "acc_norm_stderr,none": 0.025537121574548172, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.528, |
| "acc_norm_stderr,none": 0.03163648953154439, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.176, |
| "acc_norm_stderr,none": 0.024133497525457116, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.108, |
| "acc_norm_stderr,none": 0.01966955938156875, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.34, |
| "acc_norm_stderr,none": 0.030020073605457907, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.484, |
| "acc_norm_stderr,none": 0.03166998503010742, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.3179530201342282, |
| "acc_norm_stderr,none": 0.01349977712928275, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.29292929292929293, |
| "acc_norm_stderr,none": 0.032424979581788166, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.32967032967032966, |
| "acc_norm_stderr,none": 0.02013658878964548, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.31473214285714285, |
| "acc_norm_stderr,none": 0.021965797142222642, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.2144177449168207, |
| "prompt_level_strict_acc_stderr,none": 0.017661570312173917, |
| "inst_level_strict_acc,none": 0.3273381294964029, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.22920517560073936, |
| "prompt_level_loose_acc_stderr,none": 0.01808775742495531, |
| "inst_level_loose_acc,none": 0.34172661870503596, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.04380664652567976, |
| "exact_match_stderr,none": 0.005580988274930964, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.07166123778501629, |
| "exact_match_stderr,none": 0.0147446572559424, |
| "alias": " - leaderboard_math_algebra_hard" |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_counting_and_prob_hard" |
| }, |
| "leaderboard_math_geometry_hard": { |
| "exact_match,none": 0.045454545454545456, |
| "exact_match_stderr,none": 0.018199158975632748, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.017857142857142856, |
| "exact_match_stderr,none": 0.007928503387888839, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.05194805194805195, |
| "exact_match_stderr,none": 0.017941344490765024, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.08290155440414508, |
| "exact_match_stderr,none": 0.01989934131572178, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.007407407407407408, |
| "exact_match_stderr,none": 0.007407407407407407, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.35738031914893614, |
| "acc_stderr,none": 0.004369094757259934, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.40476190476190477, |
| "acc_norm_stderr,none": 0.017504592702130724, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.548, |
| "acc_norm_stderr,none": 0.03153986449255662, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.32421875, |
| "acc_norm_stderr,none": 0.029312444800629493, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.344, |
| "acc_norm_stderr,none": 0.03010450339231639, |
| "alias": " - leaderboard_musr_team_allocation" |
| } |
| }, |
| "leaderboard": { |
| "inst_level_strict_acc,none": 0.3273381294964029, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_strict_acc,none": 0.2144177449168207, |
| "prompt_level_strict_acc_stderr,none": 0.017661570312173917, |
| "acc,none": 0.3755680096940321, |
| "acc_stderr,none": 0.004184075920207844, |
| "inst_level_loose_acc,none": 0.34172661870503596, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "exact_match,none": 0.04380664652567976, |
| "exact_match_stderr,none": 0.005580988274930964, |
| "acc_norm,none": 0.4766355140186916, |
| "acc_norm_stderr,none": 0.004988616019907735, |
| "prompt_level_loose_acc,none": 0.22920517560073936, |
| "prompt_level_loose_acc_stderr,none": 0.01808775742495531, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_arc_challenge": { |
| "acc,none": 0.5622866894197952, |
| "acc_stderr,none": 0.01449757388110828, |
| "acc_norm,none": 0.60580204778157, |
| "acc_norm_stderr,none": 0.014280522667467325, |
| "alias": " - leaderboard_arc_challenge" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.492622808540184, |
| "acc_norm_stderr,none": 0.006133743025116686, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.804, |
| "acc_norm_stderr,none": 0.02515685731325593, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5935828877005348, |
| "acc_norm_stderr,none": 0.03601390435857443, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.552, |
| "acc_norm_stderr,none": 0.031514387611153515, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.592, |
| "acc_norm_stderr,none": 0.031145209846548495, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.492, |
| "acc_norm_stderr,none": 0.0316821564314138, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.368, |
| "acc_norm_stderr,none": 0.030562070620993163, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.564, |
| "acc_norm_stderr,none": 0.03142556706028128, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.292, |
| "acc_norm_stderr,none": 0.028814320402205655, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.32, |
| "acc_norm_stderr,none": 0.029561724955241044, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.432, |
| "acc_norm_stderr,none": 0.031391810765429407, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.864, |
| "acc_norm_stderr,none": 0.021723342617052055, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.508, |
| "acc_norm_stderr,none": 0.031682156431413803, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.368, |
| "acc_norm_stderr,none": 0.030562070620993163, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.4452054794520548, |
| "acc_norm_stderr,none": 0.04127264774457449, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.46, |
| "acc_norm_stderr,none": 0.031584653891499, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.708, |
| "acc_norm_stderr,none": 0.028814320402205645, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.476, |
| "acc_norm_stderr,none": 0.03164968895968782, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.5842696629213483, |
| "acc_norm_stderr,none": 0.037044683959609664, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.796, |
| "acc_norm_stderr,none": 0.025537121574548172, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.528, |
| "acc_norm_stderr,none": 0.03163648953154439, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.176, |
| "acc_norm_stderr,none": 0.024133497525457116, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.108, |
| "acc_norm_stderr,none": 0.01966955938156875, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.34, |
| "acc_norm_stderr,none": 0.030020073605457907, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.484, |
| "acc_norm_stderr,none": 0.03166998503010742, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.3179530201342282, |
| "acc_norm_stderr,none": 0.01349977712928275, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.29292929292929293, |
| "acc_norm_stderr,none": 0.032424979581788166, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.32967032967032966, |
| "acc_norm_stderr,none": 0.02013658878964548, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.31473214285714285, |
| "acc_norm_stderr,none": 0.021965797142222642, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.2144177449168207, |
| "prompt_level_strict_acc_stderr,none": 0.017661570312173917, |
| "inst_level_strict_acc,none": 0.3273381294964029, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.22920517560073936, |
| "prompt_level_loose_acc_stderr,none": 0.01808775742495531, |
| "inst_level_loose_acc,none": 0.34172661870503596, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.04380664652567976, |
| "exact_match_stderr,none": 0.005580988274930964, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.07166123778501629, |
| "exact_match_stderr,none": 0.0147446572559424, |
| "alias": " - leaderboard_math_algebra_hard" |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_counting_and_prob_hard" |
| }, |
| "leaderboard_math_geometry_hard": { |
| "exact_match,none": 0.045454545454545456, |
| "exact_match_stderr,none": 0.018199158975632748, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.017857142857142856, |
| "exact_match_stderr,none": 0.007928503387888839, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.05194805194805195, |
| "exact_match_stderr,none": 0.017941344490765024, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.08290155440414508, |
| "exact_match_stderr,none": 0.01989934131572178, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.007407407407407408, |
| "exact_match_stderr,none": 0.007407407407407407, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.35738031914893614, |
| "acc_stderr,none": 0.004369094757259934, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.40476190476190477, |
| "acc_norm_stderr,none": 0.017504592702130724, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.548, |
| "acc_norm_stderr,none": 0.03153986449255662, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.32421875, |
| "acc_norm_stderr,none": 0.029312444800629493, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.344, |
| "acc_norm_stderr,none": 0.03010450339231639, |
| "alias": " - leaderboard_musr_team_allocation" |
| } |
| } |
| ``` |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| <!-- Provide a longer summary of what this dataset is. --> |
|
|
|
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|
| - **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] |
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| ### Dataset Sources [optional] |
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| <!-- Provide the basic links for the dataset. --> |
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| - **Repository:** [More Information Needed] |
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|
| ## Uses |
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| <!-- Address questions around how the dataset is intended to be used. --> |
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| ### Direct Use |
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| <!-- This section describes suitable use cases for the dataset. --> |
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| [More Information Needed] |
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| ### Out-of-Scope Use |
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| <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
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| [More Information Needed] |
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|
| ## Dataset Structure |
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| <!-- 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. --> |
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| [More Information Needed] |
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| ## Dataset Creation |
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| ### Curation Rationale |
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| <!-- Motivation for the creation of this dataset. --> |
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| [More Information Needed] |
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| ### Source Data |
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| <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
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| #### Data Collection and Processing |
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| <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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| #### Who are the source data producers? |
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| ### Annotations [optional] |
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| <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> |
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| #### Annotation process |
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| #### Who are the annotators? |
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| <!-- This section describes the people or systems who created the annotations. --> |
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| [More Information Needed] |
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| #### Personal and Sensitive Information |
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| <!-- 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. --> |
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| ## Bias, Risks, and Limitations |
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| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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| ### Recommendations |
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| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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| Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. |
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| ## Citation [optional] |
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| <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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