| --- |
| pretty_name: Evaluation run of Magpie-Align/MagpieLM-8B-Chat-v0.1 |
| dataset_summary: "Dataset automatically created during the evaluation run of model\ |
| \ [Magpie-Align/MagpieLM-8B-Chat-v0.1](https://huggingface.co/Magpie-Align/MagpieLM-8B-Chat-v0.1)\n\ |
| The 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\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/Magpie-Align__MagpieLM-8B-Chat-v0.1-details\"\ |
| ,\n\tname=\"Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_boolean_expressions\"\ |
| ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ |
| \ from run 2024-09-19T08-09-59.187157](https://huggingface.co/datasets/open-llm-leaderboard/Magpie-Align__MagpieLM-8B-Chat-v0.1-details/blob/main/Magpie-Align__MagpieLM-8B-Chat-v0.1/results_2024-09-19T08-09-59.187157.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\ |
| \ \"acc,none\": 0.3194813829787234,\n \"acc_stderr,none\"\ |
| : 0.0042510079763069565,\n \"inst_level_loose_acc,none\": 0.5311750599520384,\n\ |
| \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"inst_level_strict_acc,none\"\ |
| : 0.43884892086330934,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ |
| ,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0,\n \"prompt_level_strict_acc,none\": 0.30129390018484287,\n \ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.019744473483514303,\n \ |
| \ \"acc_norm,none\": 0.38461538461538464,\n \"acc_norm_stderr,none\"\ |
| : 0.0052650879753851024,\n \"prompt_level_loose_acc,none\": 0.4011090573012939,\n\ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.02109153689552074,\n \ |
| \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n\ |
| \ \"acc_norm,none\": 0.414684950529422,\n \"acc_norm_stderr,none\"\ |
| : 0.006149220707945873,\n \"alias\": \" - leaderboard_bbh\"\n \ |
| \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\"\ |
| : 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455318,\n \ |
| \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \ |
| \ \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5935828877005348,\n\ |
| \ \"acc_norm_stderr,none\": 0.036013904358574426,\n \"alias\"\ |
| : \" - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ |
| : {\n \"acc_norm,none\": 0.452,\n \"acc_norm_stderr,none\"\ |
| : 0.031539864492556614,\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ |
| \n },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\"\ |
| : 0.4,\n \"acc_norm_stderr,none\": 0.031046021028253247,\n \ |
| \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"\ |
| leaderboard_bbh_formal_fallacies\": {\n \"acc_norm,none\": 0.484,\n \ |
| \ \"acc_norm_stderr,none\": 0.03166998503010742,\n \"alias\"\ |
| : \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
| : {\n \"acc_norm,none\": 0.472,\n \"acc_norm_stderr,none\"\ |
| : 0.0316364895315444,\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
| \n },\n \"leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\"\ |
| : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491615,\n \ |
| \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\"\ |
| : 0.029752391824475373,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
| \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.248,\n \"acc_norm_stderr,none\": 0.027367497504863544,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.496,\n \"acc_norm_stderr,none\": 0.03168519855119917,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
| acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896,\n\ |
| \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ |
| \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.588,\n\ |
| \ \"acc_norm_stderr,none\": 0.031191596026022898,\n \"alias\"\ |
| : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.336,\n \"acc_norm_stderr,none\"\ |
| : 0.029933259094191516,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
| \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
| acc_norm,none\": 0.3904109589041096,\n \"acc_norm_stderr,none\": 0.040513109165891854,\n\ |
| \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ |
| \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\": 0.03156328506121339,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ |
| : 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968782,\n \ |
| \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.272,\n \"acc_norm_stderr,none\"\ |
| : 0.028200088296309996,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ |
| \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ |
| : 0.5056179775280899,\n \"acc_norm_stderr,none\": 0.037579929004759816,\n\ |
| \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.548,\n \"acc_norm_stderr,none\"\ |
| : 0.031539864492556614,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ |
| \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ |
| acc_norm,none\": 0.1,\n \"acc_norm_stderr,none\": 0.019011727515734354,\n\ |
| \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ |
| \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"acc_norm,none\": 0.16,\n \"acc_norm_stderr,none\": 0.023232714782060654,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| : {\n \"acc_norm,none\": 0.104,\n \"acc_norm_stderr,none\"\ |
| : 0.019345100974843883,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.284,\n \"acc_norm_stderr,none\"\ |
| : 0.028576958730437408,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ |
| : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n \ |
| \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ |
| : {\n \"acc_norm,none\": 0.26174496644295303,\n \"acc_norm_stderr,none\"\ |
| : 0.012742071640099344,\n \"alias\": \" - leaderboard_gpqa\"\n \ |
| \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.25252525252525254,\n\ |
| \ \"acc_norm_stderr,none\": 0.030954055470365897,\n \"alias\"\ |
| : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ |
| : {\n \"acc_norm,none\": 0.2765567765567766,\n \"acc_norm_stderr,none\"\ |
| : 0.01916002747969243,\n \"alias\": \" - leaderboard_gpqa_extended\"\ |
| \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ |
| : 0.24776785714285715,\n \"acc_norm_stderr,none\": 0.020419479344751273,\n\ |
| \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ |
| : {\n \"prompt_level_strict_acc,none\": 0.30129390018484287,\n \ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.019744473483514303,\n \ |
| \ \"inst_level_strict_acc,none\": 0.43884892086330934,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.4011090573012939,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.02109153689552074,\n \ |
| \ \"inst_level_loose_acc,none\": 0.5311750599520384,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ |
| \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.0,\n \ |
| \ \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_hard\"\ |
| \n },\n \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\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\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ |
| \ - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ |
| \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ |
| \ - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\n \ |
| \ },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ |
| \ - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ |
| : {\n \"acc,none\": 0.3194813829787234,\n \"acc_stderr,none\"\ |
| : 0.0042510079763069565,\n \"alias\": \" - leaderboard_mmlu_pro\"\n \ |
| \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.3492063492063492,\n\ |
| \ \"acc_norm_stderr,none\": 0.01682268377574435,\n \"alias\"\ |
| : \" - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\"\ |
| : {\n \"acc_norm,none\": 0.516,\n \"acc_norm_stderr,none\"\ |
| : 0.03166998503010742,\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ |
| \n },\n \"leaderboard_musr_object_placements\": {\n \"\ |
| acc_norm,none\": 0.2421875,\n \"acc_norm_stderr,none\": 0.026827898476066977,\n\ |
| \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n\ |
| \ \"leaderboard_musr_team_allocation\": {\n \"acc_norm,none\"\ |
| : 0.292,\n \"acc_norm_stderr,none\": 0.02881432040220566,\n \ |
| \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n },\n \ |
| \ \"leaderboard\": {\n \"acc,none\": 0.3194813829787234,\n \"acc_stderr,none\"\ |
| : 0.0042510079763069565,\n \"inst_level_loose_acc,none\": 0.5311750599520384,\n\ |
| \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"inst_level_strict_acc,none\"\ |
| : 0.43884892086330934,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ |
| \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ |
| \ \"prompt_level_strict_acc,none\": 0.30129390018484287,\n \"prompt_level_strict_acc_stderr,none\"\ |
| : 0.019744473483514303,\n \"acc_norm,none\": 0.38461538461538464,\n \ |
| \ \"acc_norm_stderr,none\": 0.0052650879753851024,\n \"prompt_level_loose_acc,none\"\ |
| : 0.4011090573012939,\n \"prompt_level_loose_acc_stderr,none\": 0.02109153689552074,\n\ |
| \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \ |
| \ \"acc_norm,none\": 0.414684950529422,\n \"acc_norm_stderr,none\": 0.006149220707945873,\n\ |
| \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
| : {\n \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455318,\n\ |
| \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ |
| leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5935828877005348,\n\ |
| \ \"acc_norm_stderr,none\": 0.036013904358574426,\n \"alias\": \"\ |
| \ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ |
| : {\n \"acc_norm,none\": 0.452,\n \"acc_norm_stderr,none\": 0.031539864492556614,\n\ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
| : {\n \"acc_norm,none\": 0.4,\n \"acc_norm_stderr,none\": 0.031046021028253247,\n\ |
| \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
| : {\n \"acc_norm,none\": 0.484,\n \"acc_norm_stderr,none\": 0.03166998503010742,\n\ |
| \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
| : {\n \"acc_norm,none\": 0.472,\n \"acc_norm_stderr,none\": 0.0316364895315444,\n\ |
| \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ |
| : {\n \"acc_norm,none\": 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491615,\n\ |
| \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475373,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ |
| \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ |
| : 0.248,\n \"acc_norm_stderr,none\": 0.027367497504863544,\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.496,\n \"acc_norm_stderr,none\": 0.03168519855119917,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ |
| : 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896,\n \"alias\"\ |
| : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ |
| : {\n \"acc_norm,none\": 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022898,\n\ |
| \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.336,\n \"acc_norm_stderr,none\": 0.029933259094191516,\n\ |
| \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ |
| : {\n \"acc_norm,none\": 0.3904109589041096,\n \"acc_norm_stderr,none\"\ |
| : 0.040513109165891854,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ |
| \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\": 0.03156328506121339,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.476,\n\ |
| \ \"acc_norm_stderr,none\": 0.03164968895968782,\n \"alias\": \" \ |
| \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.272,\n \"acc_norm_stderr,none\": 0.028200088296309996,\n\ |
| \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ |
| \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.5056179775280899,\n\ |
| \ \"acc_norm_stderr,none\": 0.037579929004759816,\n \"alias\": \"\ |
| \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.548,\n \"acc_norm_stderr,none\": 0.031539864492556614,\n\ |
| \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ |
| leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.1,\n \ |
| \ \"acc_norm_stderr,none\": 0.019011727515734354,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"acc_norm,none\": 0.16,\n \"acc_norm_stderr,none\": 0.023232714782060654,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.104,\n \"acc_norm_stderr,none\": 0.019345100974843883,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.284,\n \"acc_norm_stderr,none\": 0.028576958730437408,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.488,\n\ |
| \ \"acc_norm_stderr,none\": 0.03167708558254709,\n \"alias\": \" \ |
| \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ |
| \ \"acc_norm,none\": 0.26174496644295303,\n \"acc_norm_stderr,none\": 0.012742071640099344,\n\ |
| \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ |
| : {\n \"acc_norm,none\": 0.25252525252525254,\n \"acc_norm_stderr,none\"\ |
| : 0.030954055470365897,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ |
| \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.2765567765567766,\n\ |
| \ \"acc_norm_stderr,none\": 0.01916002747969243,\n \"alias\": \" \ |
| \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ |
| \ \"acc_norm,none\": 0.24776785714285715,\n \"acc_norm_stderr,none\":\ |
| \ 0.020419479344751273,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ |
| \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.30129390018484287,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.019744473483514303,\n \ |
| \ \"inst_level_strict_acc,none\": 0.43884892086330934,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.4011090573012939,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.02109153689552074,\n \"inst_level_loose_acc,none\"\ |
| : 0.5311750599520384,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ |
| \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ |
| \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\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\": 0.0,\n \ |
| \ \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_geometry_hard\"\ |
| \n },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ |
| \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ |
| \n },\n \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
| \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_precalculus_hard\"\ |
| \n },\n \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.3194813829787234,\n\ |
| \ \"acc_stderr,none\": 0.0042510079763069565,\n \"alias\": \" - leaderboard_mmlu_pro\"\ |
| \n },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.3492063492063492,\n\ |
| \ \"acc_norm_stderr,none\": 0.01682268377574435,\n \"alias\": \" -\ |
| \ leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ |
| \ \"acc_norm,none\": 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010742,\n\ |
| \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ |
| : {\n \"acc_norm,none\": 0.2421875,\n \"acc_norm_stderr,none\": 0.026827898476066977,\n\ |
| \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"acc_norm,none\": 0.292,\n \"acc_norm_stderr,none\": 0.02881432040220566,\n\ |
| \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" |
| repo_url: https://huggingface.co/Magpie-Align/MagpieLM-8B-Chat-v0.1 |
| leaderboard_url: '' |
| point_of_contact: '' |
| configs: |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_boolean_expressions |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_causal_judgement |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_date_understanding |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_disambiguation_qa |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_formal_fallacies |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_geometric_shapes |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_hyperbaton |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_logical_deduction_five_objects |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_logical_deduction_seven_objects |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_logical_deduction_three_objects |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_movie_recommendation |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_navigate |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_object_counting |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_penguins_in_a_table |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_reasoning_about_colored_objects |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_ruin_names |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_salient_translation_error_detection |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_snarks |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_sports_understanding |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_temporal_sequences |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_tracking_shuffled_objects_five_objects |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_tracking_shuffled_objects_three_objects |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_web_of_lies |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_gpqa_diamond |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_gpqa_extended |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_gpqa_main |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_ifeval |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_ifeval_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_ifeval_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_math_algebra_hard |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_math_counting_and_prob_hard |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_math_geometry_hard |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_math_intermediate_algebra_hard |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_math_num_theory_hard |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_math_prealgebra_hard |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_math_precalculus_hard |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_mmlu_pro |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_musr_murder_mysteries |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_musr_object_placements |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-09-19T08-09-59.187157.jsonl' |
| - config_name: Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_musr_team_allocation |
| data_files: |
| - split: 2024_09_19T08_09_59.187157 |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-09-19T08-09-59.187157.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-09-19T08-09-59.187157.jsonl' |
| --- |
| |
| # Dataset Card for Evaluation run of Magpie-Align/MagpieLM-8B-Chat-v0.1 |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| Dataset automatically created during the evaluation run of model [Magpie-Align/MagpieLM-8B-Chat-v0.1](https://huggingface.co/Magpie-Align/MagpieLM-8B-Chat-v0.1) |
| 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/Magpie-Align__MagpieLM-8B-Chat-v0.1-details", |
| name="Magpie-Align__MagpieLM-8B-Chat-v0.1__leaderboard_bbh_boolean_expressions", |
| split="latest" |
| ) |
| ``` |
|
|
| ## Latest results |
|
|
| These are the [latest results from run 2024-09-19T08-09-59.187157](https://huggingface.co/datasets/open-llm-leaderboard/Magpie-Align__MagpieLM-8B-Chat-v0.1-details/blob/main/Magpie-Align__MagpieLM-8B-Chat-v0.1/results_2024-09-19T08-09-59.187157.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": { |
| "acc,none": 0.3194813829787234, |
| "acc_stderr,none": 0.0042510079763069565, |
| "inst_level_loose_acc,none": 0.5311750599520384, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "inst_level_strict_acc,none": 0.43884892086330934, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "prompt_level_strict_acc,none": 0.30129390018484287, |
| "prompt_level_strict_acc_stderr,none": 0.019744473483514303, |
| "acc_norm,none": 0.38461538461538464, |
| "acc_norm_stderr,none": 0.0052650879753851024, |
| "prompt_level_loose_acc,none": 0.4011090573012939, |
| "prompt_level_loose_acc_stderr,none": 0.02109153689552074, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.414684950529422, |
| "acc_norm_stderr,none": 0.006149220707945873, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.756, |
| "acc_norm_stderr,none": 0.02721799546455318, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5935828877005348, |
| "acc_norm_stderr,none": 0.036013904358574426, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.452, |
| "acc_norm_stderr,none": 0.031539864492556614, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.4, |
| "acc_norm_stderr,none": 0.031046021028253247, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.484, |
| "acc_norm_stderr,none": 0.03166998503010742, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.472, |
| "acc_norm_stderr,none": 0.0316364895315444, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.576, |
| "acc_norm_stderr,none": 0.03131803437491615, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.328, |
| "acc_norm_stderr,none": 0.029752391824475373, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.248, |
| "acc_norm_stderr,none": 0.027367497504863544, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.496, |
| "acc_norm_stderr,none": 0.03168519855119917, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.5, |
| "acc_norm_stderr,none": 0.031686212526223896, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.588, |
| "acc_norm_stderr,none": 0.031191596026022898, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.336, |
| "acc_norm_stderr,none": 0.029933259094191516, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.3904109589041096, |
| "acc_norm_stderr,none": 0.040513109165891854, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.456, |
| "acc_norm_stderr,none": 0.03156328506121339, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.476, |
| "acc_norm_stderr,none": 0.03164968895968782, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.272, |
| "acc_norm_stderr,none": 0.028200088296309996, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.5056179775280899, |
| "acc_norm_stderr,none": 0.037579929004759816, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.548, |
| "acc_norm_stderr,none": 0.031539864492556614, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.1, |
| "acc_norm_stderr,none": 0.019011727515734354, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.16, |
| "acc_norm_stderr,none": 0.023232714782060654, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.104, |
| "acc_norm_stderr,none": 0.019345100974843883, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.284, |
| "acc_norm_stderr,none": 0.028576958730437408, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.488, |
| "acc_norm_stderr,none": 0.03167708558254709, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.26174496644295303, |
| "acc_norm_stderr,none": 0.012742071640099344, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.25252525252525254, |
| "acc_norm_stderr,none": 0.030954055470365897, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.2765567765567766, |
| "acc_norm_stderr,none": 0.01916002747969243, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.24776785714285715, |
| "acc_norm_stderr,none": 0.020419479344751273, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.30129390018484287, |
| "prompt_level_strict_acc_stderr,none": 0.019744473483514303, |
| "inst_level_strict_acc,none": 0.43884892086330934, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.4011090573012939, |
| "prompt_level_loose_acc_stderr,none": 0.02109153689552074, |
| "inst_level_loose_acc,none": 0.5311750599520384, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "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": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.3194813829787234, |
| "acc_stderr,none": 0.0042510079763069565, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.3492063492063492, |
| "acc_norm_stderr,none": 0.01682268377574435, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.516, |
| "acc_norm_stderr,none": 0.03166998503010742, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.2421875, |
| "acc_norm_stderr,none": 0.026827898476066977, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.292, |
| "acc_norm_stderr,none": 0.02881432040220566, |
| "alias": " - leaderboard_musr_team_allocation" |
| } |
| }, |
| "leaderboard": { |
| "acc,none": 0.3194813829787234, |
| "acc_stderr,none": 0.0042510079763069565, |
| "inst_level_loose_acc,none": 0.5311750599520384, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "inst_level_strict_acc,none": 0.43884892086330934, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "prompt_level_strict_acc,none": 0.30129390018484287, |
| "prompt_level_strict_acc_stderr,none": 0.019744473483514303, |
| "acc_norm,none": 0.38461538461538464, |
| "acc_norm_stderr,none": 0.0052650879753851024, |
| "prompt_level_loose_acc,none": 0.4011090573012939, |
| "prompt_level_loose_acc_stderr,none": 0.02109153689552074, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.414684950529422, |
| "acc_norm_stderr,none": 0.006149220707945873, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.756, |
| "acc_norm_stderr,none": 0.02721799546455318, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5935828877005348, |
| "acc_norm_stderr,none": 0.036013904358574426, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.452, |
| "acc_norm_stderr,none": 0.031539864492556614, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.4, |
| "acc_norm_stderr,none": 0.031046021028253247, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.484, |
| "acc_norm_stderr,none": 0.03166998503010742, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.472, |
| "acc_norm_stderr,none": 0.0316364895315444, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.576, |
| "acc_norm_stderr,none": 0.03131803437491615, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.328, |
| "acc_norm_stderr,none": 0.029752391824475373, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.248, |
| "acc_norm_stderr,none": 0.027367497504863544, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.496, |
| "acc_norm_stderr,none": 0.03168519855119917, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.5, |
| "acc_norm_stderr,none": 0.031686212526223896, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.588, |
| "acc_norm_stderr,none": 0.031191596026022898, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.336, |
| "acc_norm_stderr,none": 0.029933259094191516, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.3904109589041096, |
| "acc_norm_stderr,none": 0.040513109165891854, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.456, |
| "acc_norm_stderr,none": 0.03156328506121339, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.476, |
| "acc_norm_stderr,none": 0.03164968895968782, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.272, |
| "acc_norm_stderr,none": 0.028200088296309996, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.5056179775280899, |
| "acc_norm_stderr,none": 0.037579929004759816, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.548, |
| "acc_norm_stderr,none": 0.031539864492556614, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.1, |
| "acc_norm_stderr,none": 0.019011727515734354, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.16, |
| "acc_norm_stderr,none": 0.023232714782060654, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.104, |
| "acc_norm_stderr,none": 0.019345100974843883, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.284, |
| "acc_norm_stderr,none": 0.028576958730437408, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.488, |
| "acc_norm_stderr,none": 0.03167708558254709, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.26174496644295303, |
| "acc_norm_stderr,none": 0.012742071640099344, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.25252525252525254, |
| "acc_norm_stderr,none": 0.030954055470365897, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.2765567765567766, |
| "acc_norm_stderr,none": 0.01916002747969243, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.24776785714285715, |
| "acc_norm_stderr,none": 0.020419479344751273, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.30129390018484287, |
| "prompt_level_strict_acc_stderr,none": 0.019744473483514303, |
| "inst_level_strict_acc,none": 0.43884892086330934, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.4011090573012939, |
| "prompt_level_loose_acc_stderr,none": 0.02109153689552074, |
| "inst_level_loose_acc,none": 0.5311750599520384, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "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": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.3194813829787234, |
| "acc_stderr,none": 0.0042510079763069565, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.3492063492063492, |
| "acc_norm_stderr,none": 0.01682268377574435, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.516, |
| "acc_norm_stderr,none": 0.03166998503010742, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.2421875, |
| "acc_norm_stderr,none": 0.026827898476066977, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.292, |
| "acc_norm_stderr,none": 0.02881432040220566, |
| "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] |
|
|
| ### Dataset Sources [optional] |
|
|
| <!-- Provide the basic links for the dataset. --> |
|
|
| - **Repository:** [More Information Needed] |
| - **Paper [optional]:** [More Information Needed] |
| - **Demo [optional]:** [More Information Needed] |
|
|
| ## Uses |
|
|
| <!-- Address questions around how the dataset is intended to be used. --> |
|
|
| ### Direct Use |
|
|
| <!-- This section describes suitable use cases for the dataset. --> |
|
|
| [More Information Needed] |
|
|
| ### Out-of-Scope Use |
|
|
| <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
|
|
| [More Information Needed] |
|
|
| ## Dataset Structure |
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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] |
