| --- |
| pretty_name: Evaluation run of P0x0/Astra-v1-12B |
| dataset_summary: "Dataset automatically created during the evaluation run of model\ |
| \ [P0x0/Astra-v1-12B](https://huggingface.co/P0x0/Astra-v1-12B)\nThe dataset is\ |
| \ composed of 38 configuration(s), each one corresponding 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.\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(\n\t\"open-llm-leaderboard/P0x0__Astra-v1-12B-details\"\ |
| ,\n\tname=\"P0x0__Astra-v1-12B__leaderboard_bbh_boolean_expressions\",\n\tsplit=\"\ |
| latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results from run\ |
| \ 2024-09-23T19-09-25.930684](https://huggingface.co/datasets/open-llm-leaderboard/P0x0__Astra-v1-12B-details/blob/main/P0x0__Astra-v1-12B/results_2024-09-23T19-09-25.930684.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\": 0.31534772182254195,\n \"\ |
| inst_level_strict_acc_stderr,none\": \"N/A\",\n \"exact_match,none\"\ |
| : 0.09667673716012085,\n \"exact_match_stderr,none\": 0.00787781427806664,\n\ |
| \ \"acc_norm,none\": 0.4771046828382411,\n \"acc_norm_stderr,none\"\ |
| : 0.005348230307442909,\n \"prompt_level_strict_acc,none\": 0.24584103512014788,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.01852941708079559,\n \ |
| \ \"prompt_level_loose_acc,none\": 0.27911275415896486,\n \"\ |
| prompt_level_loose_acc_stderr,none\": 0.019303080958497216,\n \"inst_level_loose_acc,none\"\ |
| : 0.3489208633093525,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ |
| ,\n \"acc,none\": 0.3460771276595745,\n \"acc_stderr,none\"\ |
| : 0.00433709414447348,\n \"alias\": \"leaderboard\"\n },\n \ |
| \ \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.5203957646241972,\n\ |
| \ \"acc_norm_stderr,none\": 0.006189127582966614,\n \"alias\"\ |
| : \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
| : {\n \"acc_norm,none\": 0.828,\n \"acc_norm_stderr,none\"\ |
| : 0.023915513944486218,\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ |
| \n },\n \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\"\ |
| : 0.5882352941176471,\n \"acc_norm_stderr,none\": 0.03608640563085621,\n\ |
| \ \"alias\": \" - leaderboard_bbh_causal_judgement\"\n },\n \ |
| \ \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ |
| : 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359952,\n \ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \ |
| \ \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\": 0.576,\n\ |
| \ \"acc_norm_stderr,none\": 0.03131803437491615,\n \"alias\"\ |
| : \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
| : {\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\"\ |
| : 0.03167708558254709,\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
| \n },\n \"leaderboard_bbh_geometric_shapes\": {\n \"acc_norm,none\"\ |
| : 0.372,\n \"acc_norm_stderr,none\": 0.030630325944558317,\n \ |
| \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"\ |
| leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\": 0.656,\n \ |
| \ \"acc_norm_stderr,none\": 0.03010450339231639,\n \"alias\": \"\ |
| \ - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.452,\n \"acc_norm_stderr,none\"\ |
| : 0.03153986449255662,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
| \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968782,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.716,\n \"acc_norm_stderr,none\": 0.0285769587304374,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
| acc_norm,none\": 0.744,\n \"acc_norm_stderr,none\": 0.027657108718204912,\n\ |
| \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ |
| \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.644,\n\ |
| \ \"acc_norm_stderr,none\": 0.03034368065715322,\n \"alias\"\ |
| : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\"\ |
| : 0.0309382076204012,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
| \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
| acc_norm,none\": 0.4726027397260274,\n \"acc_norm_stderr,none\": 0.04146035831053318,\n\ |
| \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ |
| \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993922,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ |
| : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491614,\n \ |
| \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\"\ |
| : 0.031660853408495185,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ |
| \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ |
| : 0.6179775280898876,\n \"acc_norm_stderr,none\": 0.0365211263730761,\n\ |
| \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.728,\n \"acc_norm_stderr,none\"\ |
| : 0.028200088296309985,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ |
| \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ |
| acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.02956172495524103,\n\ |
| \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ |
| \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"acc_norm,none\": 0.232,\n \"acc_norm_stderr,none\": 0.026750070374865164,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| : {\n \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\"\ |
| : 0.021723342617052065,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.264,\n \"acc_norm_stderr,none\"\ |
| : 0.027934518957690908,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ |
| : 0.496,\n \"acc_norm_stderr,none\": 0.031685198551199154,\n \ |
| \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ |
| : {\n \"acc_norm,none\": 0.313758389261745,\n \"acc_norm_stderr,none\"\ |
| : 0.013454117831837314,\n \"alias\": \" - leaderboard_gpqa\"\n \ |
| \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.30808080808080807,\n\ |
| \ \"acc_norm_stderr,none\": 0.03289477330098615,\n \"alias\"\ |
| : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ |
| : {\n \"acc_norm,none\": 0.3058608058608059,\n \"acc_norm_stderr,none\"\ |
| : 0.019737263843674805,\n \"alias\": \" - leaderboard_gpqa_extended\"\ |
| \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ |
| : 0.32589285714285715,\n \"acc_norm_stderr,none\": 0.022169103134643414,\n\ |
| \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ |
| : {\n \"prompt_level_strict_acc,none\": 0.24584103512014788,\n \ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.01852941708079559,\n \ |
| \ \"inst_level_strict_acc,none\": 0.31534772182254195,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.27911275415896486,\n\ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.019303080958497216,\n \ |
| \ \"inst_level_loose_acc,none\": 0.3489208633093525,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ |
| \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.09667673716012085,\n\ |
| \ \"exact_match_stderr,none\": 0.00787781427806664,\n \"alias\"\ |
| : \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.16286644951140064,\n \"exact_match_stderr,none\"\ |
| : 0.02110826195268662,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ |
| \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ |
| \ \"exact_match,none\": 0.056910569105691054,\n \"exact_match_stderr,none\"\ |
| : 0.020974566219895102,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ |
| \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
| : 0.022727272727272728,\n \"exact_match_stderr,none\": 0.013021046909063718,\n\ |
| \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ |
| \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ |
| : 0.02857142857142857,\n \"exact_match_stderr,none\": 0.009973998820736019,\n\ |
| \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ |
| \ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.06493506493506493,\n \"exact_match_stderr,none\": 0.019921168541490127,\n\ |
| \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ |
| \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ |
| : 0.22797927461139897,\n \"exact_match_stderr,none\": 0.03027690994517826,\n\ |
| \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ |
| \ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
| : 0.044444444444444446,\n \"exact_match_stderr,none\": 0.017802636020324527,\n\ |
| \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ |
| \ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.3460771276595745,\n\ |
| \ \"acc_stderr,none\": 0.004337094144473479,\n \"alias\":\ |
| \ \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ |
| \ \"acc_norm,none\": 0.40476190476190477,\n \"acc_norm_stderr,none\"\ |
| : 0.017315384351951343,\n \"alias\": \" - leaderboard_musr\"\n \ |
| \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ |
| : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491615,\n \ |
| \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"\ |
| leaderboard_musr_object_placements\": {\n \"acc_norm,none\": 0.3515625,\n\ |
| \ \"acc_norm_stderr,none\": 0.029899590697818237,\n \"alias\"\ |
| : \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"acc_norm,none\": 0.288,\n \"acc_norm_stderr,none\"\ |
| : 0.028697004587398215,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
| \n }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ |
| : 0.31534772182254195,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ |
| \ \"exact_match,none\": 0.09667673716012085,\n \"exact_match_stderr,none\"\ |
| : 0.00787781427806664,\n \"acc_norm,none\": 0.4771046828382411,\n \ |
| \ \"acc_norm_stderr,none\": 0.005348230307442909,\n \"prompt_level_strict_acc,none\"\ |
| : 0.24584103512014788,\n \"prompt_level_strict_acc_stderr,none\": 0.01852941708079559,\n\ |
| \ \"prompt_level_loose_acc,none\": 0.27911275415896486,\n \"prompt_level_loose_acc_stderr,none\"\ |
| : 0.019303080958497216,\n \"inst_level_loose_acc,none\": 0.3489208633093525,\n\ |
| \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc,none\": 0.3460771276595745,\n\ |
| \ \"acc_stderr,none\": 0.00433709414447348,\n \"alias\": \"leaderboard\"\ |
| \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.5203957646241972,\n\ |
| \ \"acc_norm_stderr,none\": 0.006189127582966614,\n \"alias\": \"\ |
| \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ |
| \ \"acc_norm,none\": 0.828,\n \"acc_norm_stderr,none\": 0.023915513944486218,\n\ |
| \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ |
| leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5882352941176471,\n\ |
| \ \"acc_norm_stderr,none\": 0.03608640563085621,\n \"alias\": \" \ |
| \ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ |
| : {\n \"acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359952,\n\ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
| : {\n \"acc_norm,none\": 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491615,\n\ |
| \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
| : {\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n\ |
| \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
| : {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\": 0.030630325944558317,\n\ |
| \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ |
| : {\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\": 0.03010450339231639,\n\ |
| \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.452,\n \"acc_norm_stderr,none\": 0.03153986449255662,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ |
| \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ |
| : 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968782,\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.716,\n \"acc_norm_stderr,none\": 0.0285769587304374,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ |
| : 0.744,\n \"acc_norm_stderr,none\": 0.027657108718204912,\n \"alias\"\ |
| : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ |
| : {\n \"acc_norm,none\": 0.644,\n \"acc_norm_stderr,none\": 0.03034368065715322,\n\ |
| \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\": 0.0309382076204012,\n\ |
| \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ |
| : {\n \"acc_norm,none\": 0.4726027397260274,\n \"acc_norm_stderr,none\"\ |
| : 0.04146035831053318,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ |
| \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993922,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.576,\n\ |
| \ \"acc_norm_stderr,none\": 0.03131803437491614,\n \"alias\": \" \ |
| \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n\ |
| \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ |
| \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.6179775280898876,\n\ |
| \ \"acc_norm_stderr,none\": 0.0365211263730761,\n \"alias\": \" -\ |
| \ leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.728,\n \"acc_norm_stderr,none\": 0.028200088296309985,\n\ |
| \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ |
| leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.32,\n \ |
| \ \"acc_norm_stderr,none\": 0.02956172495524103,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"acc_norm,none\": 0.232,\n \"acc_norm_stderr,none\": 0.026750070374865164,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\": 0.021723342617052065,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.264,\n \"acc_norm_stderr,none\": 0.027934518957690908,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.496,\n\ |
| \ \"acc_norm_stderr,none\": 0.031685198551199154,\n \"alias\": \"\ |
| \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ |
| \ \"acc_norm,none\": 0.313758389261745,\n \"acc_norm_stderr,none\": 0.013454117831837314,\n\ |
| \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ |
| : {\n \"acc_norm,none\": 0.30808080808080807,\n \"acc_norm_stderr,none\"\ |
| : 0.03289477330098615,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ |
| \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.3058608058608059,\n\ |
| \ \"acc_norm_stderr,none\": 0.019737263843674805,\n \"alias\": \"\ |
| \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ |
| \ \"acc_norm,none\": 0.32589285714285715,\n \"acc_norm_stderr,none\"\ |
| : 0.022169103134643414,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ |
| \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.24584103512014788,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.01852941708079559,\n \ |
| \ \"inst_level_strict_acc,none\": 0.31534772182254195,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.27911275415896486,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.019303080958497216,\n \"inst_level_loose_acc,none\"\ |
| : 0.3489208633093525,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ |
| \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ |
| : {\n \"exact_match,none\": 0.09667673716012085,\n \"exact_match_stderr,none\"\ |
| : 0.00787781427806664,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ |
| \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.16286644951140064,\n\ |
| \ \"exact_match_stderr,none\": 0.02110826195268662,\n \"alias\": \"\ |
| \ - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ |
| : {\n \"exact_match,none\": 0.056910569105691054,\n \"exact_match_stderr,none\"\ |
| : 0.020974566219895102,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ |
| \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
| : 0.022727272727272728,\n \"exact_match_stderr,none\": 0.013021046909063718,\n\ |
| \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.02857142857142857,\n \"exact_match_stderr,none\"\ |
| : 0.009973998820736019,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ |
| \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.06493506493506493,\n \"exact_match_stderr,none\": 0.019921168541490127,\n\ |
| \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ |
| : {\n \"exact_match,none\": 0.22797927461139897,\n \"exact_match_stderr,none\"\ |
| : 0.03027690994517826,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
| \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
| : 0.044444444444444446,\n \"exact_match_stderr,none\": 0.017802636020324527,\n\ |
| \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ |
| : {\n \"acc,none\": 0.3460771276595745,\n \"acc_stderr,none\": 0.004337094144473479,\n\ |
| \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ |
| : {\n \"acc_norm,none\": 0.40476190476190477,\n \"acc_norm_stderr,none\"\ |
| : 0.017315384351951343,\n \"alias\": \" - leaderboard_musr\"\n },\n \ |
| \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.576,\n\ |
| \ \"acc_norm_stderr,none\": 0.03131803437491615,\n \"alias\": \" \ |
| \ - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ |
| : {\n \"acc_norm,none\": 0.3515625,\n \"acc_norm_stderr,none\": 0.029899590697818237,\n\ |
| \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"acc_norm,none\": 0.288,\n \"acc_norm_stderr,none\": 0.028697004587398215,\n\ |
| \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" |
| repo_url: https://huggingface.co/P0x0/Astra-v1-12B |
| leaderboard_url: '' |
| point_of_contact: '' |
| configs: |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_boolean_expressions |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_causal_judgement |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_date_understanding |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_disambiguation_qa |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_formal_fallacies |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_geometric_shapes |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_hyperbaton |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_logical_deduction_five_objects |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_logical_deduction_seven_objects |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_logical_deduction_three_objects |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_movie_recommendation |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_navigate |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_object_counting |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_penguins_in_a_table |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_reasoning_about_colored_objects |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_ruin_names |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_salient_translation_error_detection |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_snarks |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_sports_understanding |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_temporal_sequences |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_tracking_shuffled_objects_five_objects |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_tracking_shuffled_objects_three_objects |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_bbh_web_of_lies |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_gpqa_diamond |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_gpqa_extended |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_gpqa_main |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_ifeval |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_ifeval_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_ifeval_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_math_algebra_hard |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_math_counting_and_prob_hard |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_math_geometry_hard |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_math_intermediate_algebra_hard |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_math_num_theory_hard |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_math_prealgebra_hard |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_math_precalculus_hard |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_mmlu_pro |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_musr_murder_mysteries |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_musr_object_placements |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-09-23T19-09-25.930684.jsonl' |
| - config_name: P0x0__Astra-v1-12B__leaderboard_musr_team_allocation |
| data_files: |
| - split: 2024_09_23T19_09_25.930684 |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-09-23T19-09-25.930684.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-09-23T19-09-25.930684.jsonl' |
| --- |
| |
| # Dataset Card for Evaluation run of P0x0/Astra-v1-12B |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| Dataset automatically created during the evaluation run of model [P0x0/Astra-v1-12B](https://huggingface.co/P0x0/Astra-v1-12B) |
| The dataset is composed of 38 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( |
| "open-llm-leaderboard/P0x0__Astra-v1-12B-details", |
| name="P0x0__Astra-v1-12B__leaderboard_bbh_boolean_expressions", |
| split="latest" |
| ) |
| ``` |
|
|
| ## Latest results |
|
|
| These are the [latest results from run 2024-09-23T19-09-25.930684](https://huggingface.co/datasets/open-llm-leaderboard/P0x0__Astra-v1-12B-details/blob/main/P0x0__Astra-v1-12B/results_2024-09-23T19-09-25.930684.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": 0.31534772182254195, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "exact_match,none": 0.09667673716012085, |
| "exact_match_stderr,none": 0.00787781427806664, |
| "acc_norm,none": 0.4771046828382411, |
| "acc_norm_stderr,none": 0.005348230307442909, |
| "prompt_level_strict_acc,none": 0.24584103512014788, |
| "prompt_level_strict_acc_stderr,none": 0.01852941708079559, |
| "prompt_level_loose_acc,none": 0.27911275415896486, |
| "prompt_level_loose_acc_stderr,none": 0.019303080958497216, |
| "inst_level_loose_acc,none": 0.3489208633093525, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "acc,none": 0.3460771276595745, |
| "acc_stderr,none": 0.00433709414447348, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.5203957646241972, |
| "acc_norm_stderr,none": 0.006189127582966614, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.828, |
| "acc_norm_stderr,none": 0.023915513944486218, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5882352941176471, |
| "acc_norm_stderr,none": 0.03608640563085621, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.648, |
| "acc_norm_stderr,none": 0.030266288057359952, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.576, |
| "acc_norm_stderr,none": 0.03131803437491615, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.488, |
| "acc_norm_stderr,none": 0.03167708558254709, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.372, |
| "acc_norm_stderr,none": 0.030630325944558317, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.656, |
| "acc_norm_stderr,none": 0.03010450339231639, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.452, |
| "acc_norm_stderr,none": 0.03153986449255662, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.476, |
| "acc_norm_stderr,none": 0.03164968895968782, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.716, |
| "acc_norm_stderr,none": 0.0285769587304374, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.744, |
| "acc_norm_stderr,none": 0.027657108718204912, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.644, |
| "acc_norm_stderr,none": 0.03034368065715322, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.392, |
| "acc_norm_stderr,none": 0.0309382076204012, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.4726027397260274, |
| "acc_norm_stderr,none": 0.04146035831053318, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.612, |
| "acc_norm_stderr,none": 0.030881038748993922, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.576, |
| "acc_norm_stderr,none": 0.03131803437491614, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.48, |
| "acc_norm_stderr,none": 0.031660853408495185, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.6179775280898876, |
| "acc_norm_stderr,none": 0.0365211263730761, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.728, |
| "acc_norm_stderr,none": 0.028200088296309985, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.32, |
| "acc_norm_stderr,none": 0.02956172495524103, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.232, |
| "acc_norm_stderr,none": 0.026750070374865164, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.136, |
| "acc_norm_stderr,none": 0.021723342617052065, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.264, |
| "acc_norm_stderr,none": 0.027934518957690908, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.496, |
| "acc_norm_stderr,none": 0.031685198551199154, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.313758389261745, |
| "acc_norm_stderr,none": 0.013454117831837314, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.30808080808080807, |
| "acc_norm_stderr,none": 0.03289477330098615, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.3058608058608059, |
| "acc_norm_stderr,none": 0.019737263843674805, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.32589285714285715, |
| "acc_norm_stderr,none": 0.022169103134643414, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.24584103512014788, |
| "prompt_level_strict_acc_stderr,none": 0.01852941708079559, |
| "inst_level_strict_acc,none": 0.31534772182254195, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.27911275415896486, |
| "prompt_level_loose_acc_stderr,none": 0.019303080958497216, |
| "inst_level_loose_acc,none": 0.3489208633093525, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.09667673716012085, |
| "exact_match_stderr,none": 0.00787781427806664, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.16286644951140064, |
| "exact_match_stderr,none": 0.02110826195268662, |
| "alias": " - leaderboard_math_algebra_hard" |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "exact_match,none": 0.056910569105691054, |
| "exact_match_stderr,none": 0.020974566219895102, |
| "alias": " - leaderboard_math_counting_and_prob_hard" |
| }, |
| "leaderboard_math_geometry_hard": { |
| "exact_match,none": 0.022727272727272728, |
| "exact_match_stderr,none": 0.013021046909063718, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.02857142857142857, |
| "exact_match_stderr,none": 0.009973998820736019, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.06493506493506493, |
| "exact_match_stderr,none": 0.019921168541490127, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.22797927461139897, |
| "exact_match_stderr,none": 0.03027690994517826, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.044444444444444446, |
| "exact_match_stderr,none": 0.017802636020324527, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.3460771276595745, |
| "acc_stderr,none": 0.004337094144473479, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.40476190476190477, |
| "acc_norm_stderr,none": 0.017315384351951343, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.576, |
| "acc_norm_stderr,none": 0.03131803437491615, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.3515625, |
| "acc_norm_stderr,none": 0.029899590697818237, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.288, |
| "acc_norm_stderr,none": 0.028697004587398215, |
| "alias": " - leaderboard_musr_team_allocation" |
| } |
| }, |
| "leaderboard": { |
| "inst_level_strict_acc,none": 0.31534772182254195, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "exact_match,none": 0.09667673716012085, |
| "exact_match_stderr,none": 0.00787781427806664, |
| "acc_norm,none": 0.4771046828382411, |
| "acc_norm_stderr,none": 0.005348230307442909, |
| "prompt_level_strict_acc,none": 0.24584103512014788, |
| "prompt_level_strict_acc_stderr,none": 0.01852941708079559, |
| "prompt_level_loose_acc,none": 0.27911275415896486, |
| "prompt_level_loose_acc_stderr,none": 0.019303080958497216, |
| "inst_level_loose_acc,none": 0.3489208633093525, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "acc,none": 0.3460771276595745, |
| "acc_stderr,none": 0.00433709414447348, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.5203957646241972, |
| "acc_norm_stderr,none": 0.006189127582966614, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.828, |
| "acc_norm_stderr,none": 0.023915513944486218, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5882352941176471, |
| "acc_norm_stderr,none": 0.03608640563085621, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.648, |
| "acc_norm_stderr,none": 0.030266288057359952, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.576, |
| "acc_norm_stderr,none": 0.03131803437491615, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.488, |
| "acc_norm_stderr,none": 0.03167708558254709, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.372, |
| "acc_norm_stderr,none": 0.030630325944558317, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.656, |
| "acc_norm_stderr,none": 0.03010450339231639, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.452, |
| "acc_norm_stderr,none": 0.03153986449255662, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.476, |
| "acc_norm_stderr,none": 0.03164968895968782, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.716, |
| "acc_norm_stderr,none": 0.0285769587304374, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.744, |
| "acc_norm_stderr,none": 0.027657108718204912, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.644, |
| "acc_norm_stderr,none": 0.03034368065715322, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.392, |
| "acc_norm_stderr,none": 0.0309382076204012, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.4726027397260274, |
| "acc_norm_stderr,none": 0.04146035831053318, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.612, |
| "acc_norm_stderr,none": 0.030881038748993922, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.576, |
| "acc_norm_stderr,none": 0.03131803437491614, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.48, |
| "acc_norm_stderr,none": 0.031660853408495185, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.6179775280898876, |
| "acc_norm_stderr,none": 0.0365211263730761, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.728, |
| "acc_norm_stderr,none": 0.028200088296309985, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.32, |
| "acc_norm_stderr,none": 0.02956172495524103, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.232, |
| "acc_norm_stderr,none": 0.026750070374865164, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.136, |
| "acc_norm_stderr,none": 0.021723342617052065, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.264, |
| "acc_norm_stderr,none": 0.027934518957690908, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.496, |
| "acc_norm_stderr,none": 0.031685198551199154, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.313758389261745, |
| "acc_norm_stderr,none": 0.013454117831837314, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.30808080808080807, |
| "acc_norm_stderr,none": 0.03289477330098615, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.3058608058608059, |
| "acc_norm_stderr,none": 0.019737263843674805, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.32589285714285715, |
| "acc_norm_stderr,none": 0.022169103134643414, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.24584103512014788, |
| "prompt_level_strict_acc_stderr,none": 0.01852941708079559, |
| "inst_level_strict_acc,none": 0.31534772182254195, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.27911275415896486, |
| "prompt_level_loose_acc_stderr,none": 0.019303080958497216, |
| "inst_level_loose_acc,none": 0.3489208633093525, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.09667673716012085, |
| "exact_match_stderr,none": 0.00787781427806664, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.16286644951140064, |
| "exact_match_stderr,none": 0.02110826195268662, |
| "alias": " - leaderboard_math_algebra_hard" |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "exact_match,none": 0.056910569105691054, |
| "exact_match_stderr,none": 0.020974566219895102, |
| "alias": " - leaderboard_math_counting_and_prob_hard" |
| }, |
| "leaderboard_math_geometry_hard": { |
| "exact_match,none": 0.022727272727272728, |
| "exact_match_stderr,none": 0.013021046909063718, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.02857142857142857, |
| "exact_match_stderr,none": 0.009973998820736019, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.06493506493506493, |
| "exact_match_stderr,none": 0.019921168541490127, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.22797927461139897, |
| "exact_match_stderr,none": 0.03027690994517826, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.044444444444444446, |
| "exact_match_stderr,none": 0.017802636020324527, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.3460771276595745, |
| "acc_stderr,none": 0.004337094144473479, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.40476190476190477, |
| "acc_norm_stderr,none": 0.017315384351951343, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.576, |
| "acc_norm_stderr,none": 0.03131803437491615, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.3515625, |
| "acc_norm_stderr,none": 0.029899590697818237, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.288, |
| "acc_norm_stderr,none": 0.028697004587398215, |
| "alias": " - leaderboard_musr_team_allocation" |
| } |
| } |
| ``` |
|
|
| ## 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] |
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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] |
| - **Paper [optional]:** [More Information Needed] |
| - **Demo [optional]:** [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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| [More Information Needed] |
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| #### Who are the source data producers? |
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| <!-- 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. --> |
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| [More Information Needed] |
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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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| <!-- 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. --> |
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| [More Information Needed] |
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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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| [More Information Needed] |
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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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| [More Information Needed] |
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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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| **BibTeX:** |
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| [More Information Needed] |
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| **APA:** |
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| [More Information Needed] |
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| ## Glossary [optional] |
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| <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> |
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| [More Information Needed] |
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| ## More Information [optional] |
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| [More Information Needed] |
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| ## Dataset Card Authors [optional] |
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| [More Information Needed] |
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| ## Dataset Card Contact |
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| [More Information Needed] |
