|
--- |
|
pretty_name: Evaluation run of meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct |
|
dataset_summary: "Dataset automatically created during the evaluation run of model\ |
|
\ [meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct](https://huggingface.co/meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct)\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/meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct-details\"\ |
|
,\n\tname=\"meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_boolean_expressions\"\ |
|
,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ |
|
\ from run 2024-12-11T18-12-58.782434](https://huggingface.co/datasets/open-llm-leaderboard/meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct-details/blob/main/meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct/results_2024-12-11T18-12-58.782434.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_loose_acc,none\": 0.7637889688249401,\n \"\ |
|
inst_level_loose_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ |
|
: 0.66728280961183,\n \"prompt_level_loose_acc_stderr,none\": 0.020276626829210515,\n\ |
|
\ \"acc_norm,none\": 0.3328576987936179,\n \"acc_norm_stderr,none\"\ |
|
: 0.00506736389387568,\n \"exact_match,none\": 0.027190332326283987,\n\ |
|
\ \"exact_match_stderr,none\": 0.004437258088067923,\n \"\ |
|
prompt_level_strict_acc,none\": 0.6303142329020333,\n \"prompt_level_strict_acc_stderr,none\"\ |
|
: 0.02077294361633236,\n \"inst_level_strict_acc,none\": 0.7350119904076738,\n\ |
|
\ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc,none\"\ |
|
: 0.16871675531914893,\n \"acc_stderr,none\": 0.0034143084856020126,\n\ |
|
\ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ |
|
: {\n \"acc_norm,none\": 0.34941850373199096,\n \"acc_norm_stderr,none\"\ |
|
: 0.005878922401268669,\n \"alias\": \" - leaderboard_bbh\"\n \ |
|
\ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ |
|
: \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.688,\n\ |
|
\ \"acc_norm_stderr,none\": 0.029361067575219852\n },\n \ |
|
\ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ |
|
,\n \"acc_norm,none\": 0.48128342245989303,\n \"acc_norm_stderr,none\"\ |
|
: 0.03663608375537843\n },\n \"leaderboard_bbh_date_understanding\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ |
|
\ \"acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ |
|
\ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ |
|
: \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.344,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03010450339231644\n },\n \ |
|
\ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
|
,\n \"acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\":\ |
|
\ 0.031235856237014505\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ |
|
\ \"acc_norm,none\": 0.148,\n \"acc_norm_stderr,none\": 0.022503547243806186\n\ |
|
\ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ |
|
\ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.516,\n \ |
|
\ \"acc_norm_stderr,none\": 0.03166998503010743\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
|
,\n \"acc_norm,none\": 0.248,\n \"acc_norm_stderr,none\":\ |
|
\ 0.027367497504863593\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ |
|
,\n \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\":\ |
|
\ 0.025901884690541117\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\ |
|
,\n \"acc_norm,none\": 0.404,\n \"acc_norm_stderr,none\":\ |
|
\ 0.03109668818482536\n },\n \"leaderboard_bbh_movie_recommendation\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \ |
|
\ \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\": 0.03056207062099311\n\ |
|
\ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \"\ |
|
\ - leaderboard_bbh_navigate\",\n \"acc_norm,none\": 0.512,\n \ |
|
\ \"acc_norm_stderr,none\": 0.03167708558254714\n },\n \"leaderboard_bbh_object_counting\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ |
|
\ \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ |
|
\ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
|
alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ |
|
: 0.21232876712328766,\n \"acc_norm_stderr,none\": 0.03396197282917473\n\ |
|
\ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ |
|
\ \"acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\": 0.023692813205492536\n\ |
|
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ |
|
\ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.068,\n \ |
|
\ \"acc_norm_stderr,none\": 0.015953748410747037\n },\n \"\ |
|
leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ |
|
: \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ |
|
: 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982\n },\n\ |
|
\ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ |
|
,\n \"acc_norm,none\": 0.5449438202247191,\n \"acc_norm_stderr,none\"\ |
|
: 0.03743016495716991\n },\n \"leaderboard_bbh_sports_understanding\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ |
|
\ \"acc_norm,none\": 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ |
|
\ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ |
|
: \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.136,\n\ |
|
\ \"acc_norm_stderr,none\": 0.021723342617052086\n },\n \ |
|
\ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ |
|
alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ |
|
\ \"acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\": 0.023692813205492536\n\ |
|
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
,\n \"acc_norm,none\": 0.144,\n \"acc_norm_stderr,none\":\ |
|
\ 0.022249407735450245\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
|
,\n \"acc_norm,none\": 0.324,\n \"acc_norm_stderr,none\":\ |
|
\ 0.029658294924545567\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ |
|
\ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ |
|
: 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n },\n\ |
|
\ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.23657718120805368,\n\ |
|
\ \"acc_norm_stderr,none\": 0.012319180150674961,\n \"alias\"\ |
|
: \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ |
|
\ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ |
|
: 0.23737373737373738,\n \"acc_norm_stderr,none\": 0.030313710538198924\n\ |
|
\ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ |
|
\ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.2490842490842491,\n\ |
|
\ \"acc_norm_stderr,none\": 0.01852552347648428\n },\n \ |
|
\ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
|
,\n \"acc_norm,none\": 0.22098214285714285,\n \"acc_norm_stderr,none\"\ |
|
: 0.019624497052242788\n },\n \"leaderboard_ifeval\": {\n \ |
|
\ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ |
|
: 0.6303142329020333,\n \"prompt_level_strict_acc_stderr,none\": 0.02077294361633236,\n\ |
|
\ \"inst_level_strict_acc,none\": 0.7350119904076738,\n \"\ |
|
inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ |
|
: 0.66728280961183,\n \"prompt_level_loose_acc_stderr,none\": 0.020276626829210515,\n\ |
|
\ \"inst_level_loose_acc,none\": 0.7637889688249401,\n \"\ |
|
inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ |
|
: {\n \"exact_match,none\": 0.027190332326283987,\n \"exact_match_stderr,none\"\ |
|
: 0.004437258088067923,\n \"alias\": \" - leaderboard_math_hard\"\n \ |
|
\ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ |
|
: \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.05537459283387622,\n\ |
|
\ \"exact_match_stderr,none\": 0.01307447837002421\n },\n \ |
|
\ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \" \ |
|
\ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ |
|
: 0.008130081300813009,\n \"exact_match_stderr,none\": 0.008130081300813007\n\ |
|
\ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ |
|
: \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.015151515151515152,\n\ |
|
\ \"exact_match_stderr,none\": 0.01067276863717474\n },\n \ |
|
\ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\": \"\ |
|
\ - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ |
|
: 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_num_theory_hard\"\ |
|
: {\n \"alias\": \" - leaderboard_math_num_theory_hard\",\n \ |
|
\ \"exact_match,none\": 0.032467532467532464,\n \"exact_match_stderr,none\"\ |
|
: 0.014328862002759745\n },\n \"leaderboard_math_prealgebra_hard\"\ |
|
: {\n \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \ |
|
\ \"exact_match,none\": 0.05181347150259067,\n \"exact_match_stderr,none\"\ |
|
: 0.015996229320244134\n },\n \"leaderboard_math_precalculus_hard\"\ |
|
: {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ |
|
\ \"exact_match,none\": 0.007407407407407408,\n \"exact_match_stderr,none\"\ |
|
: 0.007407407407407408\n },\n \"leaderboard_mmlu_pro\": {\n \ |
|
\ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.16871675531914893,\n\ |
|
\ \"acc_stderr,none\": 0.0034143084856020126\n },\n \"\ |
|
leaderboard_musr\": {\n \"acc_norm,none\": 0.3584656084656085,\n \ |
|
\ \"acc_norm_stderr,none\": 0.016905583965331657,\n \"alias\"\ |
|
: \" - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\"\ |
|
: {\n \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \ |
|
\ \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ |
|
\ },\n \"leaderboard_musr_object_placements\": {\n \"alias\"\ |
|
: \" - leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.24609375,\n\ |
|
\ \"acc_norm_stderr,none\": 0.026973597563786113\n },\n \ |
|
\ \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
|
,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\":\ |
|
\ 0.02915021337415965\n }\n },\n \"leaderboard\": {\n \"inst_level_loose_acc,none\"\ |
|
: 0.7637889688249401,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ |
|
\ \"prompt_level_loose_acc,none\": 0.66728280961183,\n \"prompt_level_loose_acc_stderr,none\"\ |
|
: 0.020276626829210515,\n \"acc_norm,none\": 0.3328576987936179,\n \ |
|
\ \"acc_norm_stderr,none\": 0.00506736389387568,\n \"exact_match,none\"\ |
|
: 0.027190332326283987,\n \"exact_match_stderr,none\": 0.004437258088067923,\n\ |
|
\ \"prompt_level_strict_acc,none\": 0.6303142329020333,\n \"prompt_level_strict_acc_stderr,none\"\ |
|
: 0.02077294361633236,\n \"inst_level_strict_acc,none\": 0.7350119904076738,\n\ |
|
\ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc,none\":\ |
|
\ 0.16871675531914893,\n \"acc_stderr,none\": 0.0034143084856020126,\n \ |
|
\ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"\ |
|
acc_norm,none\": 0.34941850373199096,\n \"acc_norm_stderr,none\": 0.005878922401268669,\n\ |
|
\ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"\ |
|
acc_norm,none\": 0.688,\n \"acc_norm_stderr,none\": 0.029361067575219852\n\ |
|
\ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ |
|
,\n \"acc_norm,none\": 0.48128342245989303,\n \"acc_norm_stderr,none\"\ |
|
: 0.03663608375537843\n },\n \"leaderboard_bbh_date_understanding\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ |
|
: 0.48,\n \"acc_norm_stderr,none\": 0.03166085340849512\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\"\ |
|
: 0.344,\n \"acc_norm_stderr,none\": 0.03010450339231644\n },\n \"\ |
|
leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
|
,\n \"acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014505\n\ |
|
\ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
|
,\n \"acc_norm,none\": 0.148,\n \"acc_norm_stderr,none\": 0.022503547243806186\n\ |
|
\ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ |
|
,\n \"acc_norm,none\": 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743\n\ |
|
\ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ |
|
: \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ |
|
: 0.248,\n \"acc_norm_stderr,none\": 0.027367497504863593\n },\n \"\ |
|
leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ |
|
,\n \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ |
|
\ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ |
|
alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ |
|
: 0.404,\n \"acc_norm_stderr,none\": 0.03109668818482536\n },\n \"\ |
|
leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ |
|
,\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\": 0.03056207062099311\n\ |
|
\ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ |
|
,\n \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ |
|
\ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
|
,\n \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ |
|
\ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ |
|
\ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.21232876712328766,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03396197282917473\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ |
|
,\n \"acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\": 0.023692813205492536\n\ |
|
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ |
|
,\n \"acc_norm,none\": 0.068,\n \"acc_norm_stderr,none\": 0.015953748410747037\n\ |
|
\ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ |
|
\ \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ |
|
\ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ |
|
,\n \"acc_norm,none\": 0.5449438202247191,\n \"acc_norm_stderr,none\"\ |
|
: 0.03743016495716991\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ |
|
\ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ |
|
: 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968774\n },\n \"\ |
|
leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ |
|
,\n \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\": 0.021723342617052086\n\ |
|
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
|
,\n \"acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\": 0.023692813205492536\n\ |
|
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
,\n \"acc_norm,none\": 0.144,\n \"acc_norm_stderr,none\": 0.022249407735450245\n\ |
|
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
|
,\n \"acc_norm,none\": 0.324,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ |
|
\ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ |
|
,\n \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ |
|
\ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.23657718120805368,\n\ |
|
\ \"acc_norm_stderr,none\": 0.012319180150674961,\n \"alias\": \"\ |
|
\ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ |
|
alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.23737373737373738,\n\ |
|
\ \"acc_norm_stderr,none\": 0.030313710538198924\n },\n \"leaderboard_gpqa_extended\"\ |
|
: {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ |
|
: 0.2490842490842491,\n \"acc_norm_stderr,none\": 0.01852552347648428\n \ |
|
\ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
|
,\n \"acc_norm,none\": 0.22098214285714285,\n \"acc_norm_stderr,none\"\ |
|
: 0.019624497052242788\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ |
|
: \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.6303142329020333,\n\ |
|
\ \"prompt_level_strict_acc_stderr,none\": 0.02077294361633236,\n \ |
|
\ \"inst_level_strict_acc,none\": 0.7350119904076738,\n \"inst_level_strict_acc_stderr,none\"\ |
|
: \"N/A\",\n \"prompt_level_loose_acc,none\": 0.66728280961183,\n \ |
|
\ \"prompt_level_loose_acc_stderr,none\": 0.020276626829210515,\n \"inst_level_loose_acc,none\"\ |
|
: 0.7637889688249401,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ |
|
\ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.027190332326283987,\n\ |
|
\ \"exact_match_stderr,none\": 0.004437258088067923,\n \"alias\":\ |
|
\ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ |
|
\ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ |
|
: 0.05537459283387622,\n \"exact_match_stderr,none\": 0.01307447837002421\n\ |
|
\ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ |
|
\ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ |
|
: 0.008130081300813009,\n \"exact_match_stderr,none\": 0.008130081300813007\n\ |
|
\ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ |
|
,\n \"exact_match,none\": 0.015151515151515152,\n \"exact_match_stderr,none\"\ |
|
: 0.01067276863717474\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
|
: {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ |
|
\ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n \ |
|
\ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ |
|
,\n \"exact_match,none\": 0.032467532467532464,\n \"exact_match_stderr,none\"\ |
|
: 0.014328862002759745\n },\n \"leaderboard_math_prealgebra_hard\": {\n \ |
|
\ \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \"exact_match,none\"\ |
|
: 0.05181347150259067,\n \"exact_match_stderr,none\": 0.015996229320244134\n\ |
|
\ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" -\ |
|
\ leaderboard_math_precalculus_hard\",\n \"exact_match,none\": 0.007407407407407408,\n\ |
|
\ \"exact_match_stderr,none\": 0.007407407407407408\n },\n \"leaderboard_mmlu_pro\"\ |
|
: {\n \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.16871675531914893,\n\ |
|
\ \"acc_stderr,none\": 0.0034143084856020126\n },\n \"leaderboard_musr\"\ |
|
: {\n \"acc_norm,none\": 0.3584656084656085,\n \"acc_norm_stderr,none\"\ |
|
: 0.016905583965331657,\n \"alias\": \" - leaderboard_musr\"\n },\n \ |
|
\ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ |
|
,\n \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ |
|
\ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ |
|
\ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.24609375,\n\ |
|
\ \"acc_norm_stderr,none\": 0.026973597563786113\n },\n \"leaderboard_musr_team_allocation\"\ |
|
: {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ |
|
: 0.304,\n \"acc_norm_stderr,none\": 0.02915021337415965\n }\n}\n```" |
|
repo_url: https://huggingface.co/meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct |
|
leaderboard_url: '' |
|
point_of_contact: '' |
|
configs: |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_boolean_expressions |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_boolean_expressions_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_boolean_expressions_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_causal_judgement |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_causal_judgement_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_causal_judgement_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_date_understanding |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_date_understanding_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_date_understanding_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_disambiguation_qa |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_formal_fallacies |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_formal_fallacies_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_formal_fallacies_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_geometric_shapes |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_geometric_shapes_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_geometric_shapes_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_hyperbaton |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_hyperbaton_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_hyperbaton_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_logical_deduction_five_objects |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_logical_deduction_seven_objects |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_logical_deduction_three_objects |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_movie_recommendation |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_movie_recommendation_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_movie_recommendation_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_navigate |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_navigate_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_navigate_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_object_counting |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_object_counting_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_object_counting_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_penguins_in_a_table |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_reasoning_about_colored_objects |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_ruin_names |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_ruin_names_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_ruin_names_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_salient_translation_error_detection |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_snarks |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_snarks_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_snarks_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_sports_understanding |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_sports_understanding_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_sports_understanding_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_temporal_sequences |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_temporal_sequences_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_temporal_sequences_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_tracking_shuffled_objects_five_objects |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_tracking_shuffled_objects_three_objects |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_web_of_lies |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_bbh_web_of_lies_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_web_of_lies_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_gpqa_diamond |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_gpqa_diamond_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_diamond_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_gpqa_extended |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_gpqa_extended_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_extended_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_gpqa_main |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_gpqa_main_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_main_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_ifeval |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_ifeval_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_ifeval_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_math_algebra_hard |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_math_algebra_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_algebra_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_math_counting_and_prob_hard |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_math_geometry_hard |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_math_geometry_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_geometry_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_math_intermediate_algebra_hard |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_math_num_theory_hard |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_math_num_theory_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_num_theory_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_math_prealgebra_hard |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_math_prealgebra_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_prealgebra_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_math_precalculus_hard |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_math_precalculus_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_precalculus_hard_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_mmlu_pro |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_mmlu_pro_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_mmlu_pro_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_musr_murder_mysteries |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_musr_murder_mysteries_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_murder_mysteries_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_musr_object_placements |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_musr_object_placements_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_object_placements_2024-12-11T18-12-58.782434.jsonl' |
|
- config_name: meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_musr_team_allocation |
|
data_files: |
|
- split: 2024_12_11T18_12_58.782434 |
|
path: |
|
- '**/samples_leaderboard_musr_team_allocation_2024-12-11T18-12-58.782434.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_team_allocation_2024-12-11T18-12-58.782434.jsonl' |
|
--- |
|
|
|
# Dataset Card for Evaluation run of meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct |
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
Dataset automatically created during the evaluation run of model [meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct](https://huggingface.co/meditsolutions/Llama-3.2-SUN-HDIC-1B-Instruct) |
|
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/meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct-details", |
|
name="meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct__leaderboard_bbh_boolean_expressions", |
|
split="latest" |
|
) |
|
``` |
|
|
|
## Latest results |
|
|
|
These are the [latest results from run 2024-12-11T18-12-58.782434](https://huggingface.co/datasets/open-llm-leaderboard/meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct-details/blob/main/meditsolutions__Llama-3.2-SUN-HDIC-1B-Instruct/results_2024-12-11T18-12-58.782434.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_loose_acc,none": 0.7637889688249401, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.66728280961183, |
|
"prompt_level_loose_acc_stderr,none": 0.020276626829210515, |
|
"acc_norm,none": 0.3328576987936179, |
|
"acc_norm_stderr,none": 0.00506736389387568, |
|
"exact_match,none": 0.027190332326283987, |
|
"exact_match_stderr,none": 0.004437258088067923, |
|
"prompt_level_strict_acc,none": 0.6303142329020333, |
|
"prompt_level_strict_acc_stderr,none": 0.02077294361633236, |
|
"inst_level_strict_acc,none": 0.7350119904076738, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"acc,none": 0.16871675531914893, |
|
"acc_stderr,none": 0.0034143084856020126, |
|
"alias": "leaderboard" |
|
}, |
|
"leaderboard_bbh": { |
|
"acc_norm,none": 0.34941850373199096, |
|
"acc_norm_stderr,none": 0.005878922401268669, |
|
"alias": " - leaderboard_bbh" |
|
}, |
|
"leaderboard_bbh_boolean_expressions": { |
|
"alias": " - leaderboard_bbh_boolean_expressions", |
|
"acc_norm,none": 0.688, |
|
"acc_norm_stderr,none": 0.029361067575219852 |
|
}, |
|
"leaderboard_bbh_causal_judgement": { |
|
"alias": " - leaderboard_bbh_causal_judgement", |
|
"acc_norm,none": 0.48128342245989303, |
|
"acc_norm_stderr,none": 0.03663608375537843 |
|
}, |
|
"leaderboard_bbh_date_understanding": { |
|
"alias": " - leaderboard_bbh_date_understanding", |
|
"acc_norm,none": 0.48, |
|
"acc_norm_stderr,none": 0.03166085340849512 |
|
}, |
|
"leaderboard_bbh_disambiguation_qa": { |
|
"alias": " - leaderboard_bbh_disambiguation_qa", |
|
"acc_norm,none": 0.344, |
|
"acc_norm_stderr,none": 0.03010450339231644 |
|
}, |
|
"leaderboard_bbh_formal_fallacies": { |
|
"alias": " - leaderboard_bbh_formal_fallacies", |
|
"acc_norm,none": 0.584, |
|
"acc_norm_stderr,none": 0.031235856237014505 |
|
}, |
|
"leaderboard_bbh_geometric_shapes": { |
|
"alias": " - leaderboard_bbh_geometric_shapes", |
|
"acc_norm,none": 0.148, |
|
"acc_norm_stderr,none": 0.022503547243806186 |
|
}, |
|
"leaderboard_bbh_hyperbaton": { |
|
"alias": " - leaderboard_bbh_hyperbaton", |
|
"acc_norm,none": 0.516, |
|
"acc_norm_stderr,none": 0.03166998503010743 |
|
}, |
|
"leaderboard_bbh_logical_deduction_five_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_five_objects", |
|
"acc_norm,none": 0.248, |
|
"acc_norm_stderr,none": 0.027367497504863593 |
|
}, |
|
"leaderboard_bbh_logical_deduction_seven_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
|
"acc_norm,none": 0.212, |
|
"acc_norm_stderr,none": 0.025901884690541117 |
|
}, |
|
"leaderboard_bbh_logical_deduction_three_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_three_objects", |
|
"acc_norm,none": 0.404, |
|
"acc_norm_stderr,none": 0.03109668818482536 |
|
}, |
|
"leaderboard_bbh_movie_recommendation": { |
|
"alias": " - leaderboard_bbh_movie_recommendation", |
|
"acc_norm,none": 0.368, |
|
"acc_norm_stderr,none": 0.03056207062099311 |
|
}, |
|
"leaderboard_bbh_navigate": { |
|
"alias": " - leaderboard_bbh_navigate", |
|
"acc_norm,none": 0.512, |
|
"acc_norm_stderr,none": 0.03167708558254714 |
|
}, |
|
"leaderboard_bbh_object_counting": { |
|
"alias": " - leaderboard_bbh_object_counting", |
|
"acc_norm,none": 0.392, |
|
"acc_norm_stderr,none": 0.030938207620401222 |
|
}, |
|
"leaderboard_bbh_penguins_in_a_table": { |
|
"alias": " - leaderboard_bbh_penguins_in_a_table", |
|
"acc_norm,none": 0.21232876712328766, |
|
"acc_norm_stderr,none": 0.03396197282917473 |
|
}, |
|
"leaderboard_bbh_reasoning_about_colored_objects": { |
|
"alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
|
"acc_norm,none": 0.168, |
|
"acc_norm_stderr,none": 0.023692813205492536 |
|
}, |
|
"leaderboard_bbh_ruin_names": { |
|
"alias": " - leaderboard_bbh_ruin_names", |
|
"acc_norm,none": 0.068, |
|
"acc_norm_stderr,none": 0.015953748410747037 |
|
}, |
|
"leaderboard_bbh_salient_translation_error_detection": { |
|
"alias": " - leaderboard_bbh_salient_translation_error_detection", |
|
"acc_norm,none": 0.24, |
|
"acc_norm_stderr,none": 0.027065293652238982 |
|
}, |
|
"leaderboard_bbh_snarks": { |
|
"alias": " - leaderboard_bbh_snarks", |
|
"acc_norm,none": 0.5449438202247191, |
|
"acc_norm_stderr,none": 0.03743016495716991 |
|
}, |
|
"leaderboard_bbh_sports_understanding": { |
|
"alias": " - leaderboard_bbh_sports_understanding", |
|
"acc_norm,none": 0.524, |
|
"acc_norm_stderr,none": 0.03164968895968774 |
|
}, |
|
"leaderboard_bbh_temporal_sequences": { |
|
"alias": " - leaderboard_bbh_temporal_sequences", |
|
"acc_norm,none": 0.136, |
|
"acc_norm_stderr,none": 0.021723342617052086 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
|
"acc_norm,none": 0.168, |
|
"acc_norm_stderr,none": 0.023692813205492536 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
|
"acc_norm,none": 0.144, |
|
"acc_norm_stderr,none": 0.022249407735450245 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
|
"acc_norm,none": 0.324, |
|
"acc_norm_stderr,none": 0.029658294924545567 |
|
}, |
|
"leaderboard_bbh_web_of_lies": { |
|
"alias": " - leaderboard_bbh_web_of_lies", |
|
"acc_norm,none": 0.512, |
|
"acc_norm_stderr,none": 0.03167708558254714 |
|
}, |
|
"leaderboard_gpqa": { |
|
"acc_norm,none": 0.23657718120805368, |
|
"acc_norm_stderr,none": 0.012319180150674961, |
|
"alias": " - leaderboard_gpqa" |
|
}, |
|
"leaderboard_gpqa_diamond": { |
|
"alias": " - leaderboard_gpqa_diamond", |
|
"acc_norm,none": 0.23737373737373738, |
|
"acc_norm_stderr,none": 0.030313710538198924 |
|
}, |
|
"leaderboard_gpqa_extended": { |
|
"alias": " - leaderboard_gpqa_extended", |
|
"acc_norm,none": 0.2490842490842491, |
|
"acc_norm_stderr,none": 0.01852552347648428 |
|
}, |
|
"leaderboard_gpqa_main": { |
|
"alias": " - leaderboard_gpqa_main", |
|
"acc_norm,none": 0.22098214285714285, |
|
"acc_norm_stderr,none": 0.019624497052242788 |
|
}, |
|
"leaderboard_ifeval": { |
|
"alias": " - leaderboard_ifeval", |
|
"prompt_level_strict_acc,none": 0.6303142329020333, |
|
"prompt_level_strict_acc_stderr,none": 0.02077294361633236, |
|
"inst_level_strict_acc,none": 0.7350119904076738, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.66728280961183, |
|
"prompt_level_loose_acc_stderr,none": 0.020276626829210515, |
|
"inst_level_loose_acc,none": 0.7637889688249401, |
|
"inst_level_loose_acc_stderr,none": "N/A" |
|
}, |
|
"leaderboard_math_hard": { |
|
"exact_match,none": 0.027190332326283987, |
|
"exact_match_stderr,none": 0.004437258088067923, |
|
"alias": " - leaderboard_math_hard" |
|
}, |
|
"leaderboard_math_algebra_hard": { |
|
"alias": " - leaderboard_math_algebra_hard", |
|
"exact_match,none": 0.05537459283387622, |
|
"exact_match_stderr,none": 0.01307447837002421 |
|
}, |
|
"leaderboard_math_counting_and_prob_hard": { |
|
"alias": " - leaderboard_math_counting_and_prob_hard", |
|
"exact_match,none": 0.008130081300813009, |
|
"exact_match_stderr,none": 0.008130081300813007 |
|
}, |
|
"leaderboard_math_geometry_hard": { |
|
"alias": " - leaderboard_math_geometry_hard", |
|
"exact_match,none": 0.015151515151515152, |
|
"exact_match_stderr,none": 0.01067276863717474 |
|
}, |
|
"leaderboard_math_intermediate_algebra_hard": { |
|
"alias": " - leaderboard_math_intermediate_algebra_hard", |
|
"exact_match,none": 0.0, |
|
"exact_match_stderr,none": 0.0 |
|
}, |
|
"leaderboard_math_num_theory_hard": { |
|
"alias": " - leaderboard_math_num_theory_hard", |
|
"exact_match,none": 0.032467532467532464, |
|
"exact_match_stderr,none": 0.014328862002759745 |
|
}, |
|
"leaderboard_math_prealgebra_hard": { |
|
"alias": " - leaderboard_math_prealgebra_hard", |
|
"exact_match,none": 0.05181347150259067, |
|
"exact_match_stderr,none": 0.015996229320244134 |
|
}, |
|
"leaderboard_math_precalculus_hard": { |
|
"alias": " - leaderboard_math_precalculus_hard", |
|
"exact_match,none": 0.007407407407407408, |
|
"exact_match_stderr,none": 0.007407407407407408 |
|
}, |
|
"leaderboard_mmlu_pro": { |
|
"alias": " - leaderboard_mmlu_pro", |
|
"acc,none": 0.16871675531914893, |
|
"acc_stderr,none": 0.0034143084856020126 |
|
}, |
|
"leaderboard_musr": { |
|
"acc_norm,none": 0.3584656084656085, |
|
"acc_norm_stderr,none": 0.016905583965331657, |
|
"alias": " - leaderboard_musr" |
|
}, |
|
"leaderboard_musr_murder_mysteries": { |
|
"alias": " - leaderboard_musr_murder_mysteries", |
|
"acc_norm,none": 0.528, |
|
"acc_norm_stderr,none": 0.031636489531544396 |
|
}, |
|
"leaderboard_musr_object_placements": { |
|
"alias": " - leaderboard_musr_object_placements", |
|
"acc_norm,none": 0.24609375, |
|
"acc_norm_stderr,none": 0.026973597563786113 |
|
}, |
|
"leaderboard_musr_team_allocation": { |
|
"alias": " - leaderboard_musr_team_allocation", |
|
"acc_norm,none": 0.304, |
|
"acc_norm_stderr,none": 0.02915021337415965 |
|
} |
|
}, |
|
"leaderboard": { |
|
"inst_level_loose_acc,none": 0.7637889688249401, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.66728280961183, |
|
"prompt_level_loose_acc_stderr,none": 0.020276626829210515, |
|
"acc_norm,none": 0.3328576987936179, |
|
"acc_norm_stderr,none": 0.00506736389387568, |
|
"exact_match,none": 0.027190332326283987, |
|
"exact_match_stderr,none": 0.004437258088067923, |
|
"prompt_level_strict_acc,none": 0.6303142329020333, |
|
"prompt_level_strict_acc_stderr,none": 0.02077294361633236, |
|
"inst_level_strict_acc,none": 0.7350119904076738, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"acc,none": 0.16871675531914893, |
|
"acc_stderr,none": 0.0034143084856020126, |
|
"alias": "leaderboard" |
|
}, |
|
"leaderboard_bbh": { |
|
"acc_norm,none": 0.34941850373199096, |
|
"acc_norm_stderr,none": 0.005878922401268669, |
|
"alias": " - leaderboard_bbh" |
|
}, |
|
"leaderboard_bbh_boolean_expressions": { |
|
"alias": " - leaderboard_bbh_boolean_expressions", |
|
"acc_norm,none": 0.688, |
|
"acc_norm_stderr,none": 0.029361067575219852 |
|
}, |
|
"leaderboard_bbh_causal_judgement": { |
|
"alias": " - leaderboard_bbh_causal_judgement", |
|
"acc_norm,none": 0.48128342245989303, |
|
"acc_norm_stderr,none": 0.03663608375537843 |
|
}, |
|
"leaderboard_bbh_date_understanding": { |
|
"alias": " - leaderboard_bbh_date_understanding", |
|
"acc_norm,none": 0.48, |
|
"acc_norm_stderr,none": 0.03166085340849512 |
|
}, |
|
"leaderboard_bbh_disambiguation_qa": { |
|
"alias": " - leaderboard_bbh_disambiguation_qa", |
|
"acc_norm,none": 0.344, |
|
"acc_norm_stderr,none": 0.03010450339231644 |
|
}, |
|
"leaderboard_bbh_formal_fallacies": { |
|
"alias": " - leaderboard_bbh_formal_fallacies", |
|
"acc_norm,none": 0.584, |
|
"acc_norm_stderr,none": 0.031235856237014505 |
|
}, |
|
"leaderboard_bbh_geometric_shapes": { |
|
"alias": " - leaderboard_bbh_geometric_shapes", |
|
"acc_norm,none": 0.148, |
|
"acc_norm_stderr,none": 0.022503547243806186 |
|
}, |
|
"leaderboard_bbh_hyperbaton": { |
|
"alias": " - leaderboard_bbh_hyperbaton", |
|
"acc_norm,none": 0.516, |
|
"acc_norm_stderr,none": 0.03166998503010743 |
|
}, |
|
"leaderboard_bbh_logical_deduction_five_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_five_objects", |
|
"acc_norm,none": 0.248, |
|
"acc_norm_stderr,none": 0.027367497504863593 |
|
}, |
|
"leaderboard_bbh_logical_deduction_seven_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
|
"acc_norm,none": 0.212, |
|
"acc_norm_stderr,none": 0.025901884690541117 |
|
}, |
|
"leaderboard_bbh_logical_deduction_three_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_three_objects", |
|
"acc_norm,none": 0.404, |
|
"acc_norm_stderr,none": 0.03109668818482536 |
|
}, |
|
"leaderboard_bbh_movie_recommendation": { |
|
"alias": " - leaderboard_bbh_movie_recommendation", |
|
"acc_norm,none": 0.368, |
|
"acc_norm_stderr,none": 0.03056207062099311 |
|
}, |
|
"leaderboard_bbh_navigate": { |
|
"alias": " - leaderboard_bbh_navigate", |
|
"acc_norm,none": 0.512, |
|
"acc_norm_stderr,none": 0.03167708558254714 |
|
}, |
|
"leaderboard_bbh_object_counting": { |
|
"alias": " - leaderboard_bbh_object_counting", |
|
"acc_norm,none": 0.392, |
|
"acc_norm_stderr,none": 0.030938207620401222 |
|
}, |
|
"leaderboard_bbh_penguins_in_a_table": { |
|
"alias": " - leaderboard_bbh_penguins_in_a_table", |
|
"acc_norm,none": 0.21232876712328766, |
|
"acc_norm_stderr,none": 0.03396197282917473 |
|
}, |
|
"leaderboard_bbh_reasoning_about_colored_objects": { |
|
"alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
|
"acc_norm,none": 0.168, |
|
"acc_norm_stderr,none": 0.023692813205492536 |
|
}, |
|
"leaderboard_bbh_ruin_names": { |
|
"alias": " - leaderboard_bbh_ruin_names", |
|
"acc_norm,none": 0.068, |
|
"acc_norm_stderr,none": 0.015953748410747037 |
|
}, |
|
"leaderboard_bbh_salient_translation_error_detection": { |
|
"alias": " - leaderboard_bbh_salient_translation_error_detection", |
|
"acc_norm,none": 0.24, |
|
"acc_norm_stderr,none": 0.027065293652238982 |
|
}, |
|
"leaderboard_bbh_snarks": { |
|
"alias": " - leaderboard_bbh_snarks", |
|
"acc_norm,none": 0.5449438202247191, |
|
"acc_norm_stderr,none": 0.03743016495716991 |
|
}, |
|
"leaderboard_bbh_sports_understanding": { |
|
"alias": " - leaderboard_bbh_sports_understanding", |
|
"acc_norm,none": 0.524, |
|
"acc_norm_stderr,none": 0.03164968895968774 |
|
}, |
|
"leaderboard_bbh_temporal_sequences": { |
|
"alias": " - leaderboard_bbh_temporal_sequences", |
|
"acc_norm,none": 0.136, |
|
"acc_norm_stderr,none": 0.021723342617052086 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
|
"acc_norm,none": 0.168, |
|
"acc_norm_stderr,none": 0.023692813205492536 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
|
"acc_norm,none": 0.144, |
|
"acc_norm_stderr,none": 0.022249407735450245 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
|
"acc_norm,none": 0.324, |
|
"acc_norm_stderr,none": 0.029658294924545567 |
|
}, |
|
"leaderboard_bbh_web_of_lies": { |
|
"alias": " - leaderboard_bbh_web_of_lies", |
|
"acc_norm,none": 0.512, |
|
"acc_norm_stderr,none": 0.03167708558254714 |
|
}, |
|
"leaderboard_gpqa": { |
|
"acc_norm,none": 0.23657718120805368, |
|
"acc_norm_stderr,none": 0.012319180150674961, |
|
"alias": " - leaderboard_gpqa" |
|
}, |
|
"leaderboard_gpqa_diamond": { |
|
"alias": " - leaderboard_gpqa_diamond", |
|
"acc_norm,none": 0.23737373737373738, |
|
"acc_norm_stderr,none": 0.030313710538198924 |
|
}, |
|
"leaderboard_gpqa_extended": { |
|
"alias": " - leaderboard_gpqa_extended", |
|
"acc_norm,none": 0.2490842490842491, |
|
"acc_norm_stderr,none": 0.01852552347648428 |
|
}, |
|
"leaderboard_gpqa_main": { |
|
"alias": " - leaderboard_gpqa_main", |
|
"acc_norm,none": 0.22098214285714285, |
|
"acc_norm_stderr,none": 0.019624497052242788 |
|
}, |
|
"leaderboard_ifeval": { |
|
"alias": " - leaderboard_ifeval", |
|
"prompt_level_strict_acc,none": 0.6303142329020333, |
|
"prompt_level_strict_acc_stderr,none": 0.02077294361633236, |
|
"inst_level_strict_acc,none": 0.7350119904076738, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.66728280961183, |
|
"prompt_level_loose_acc_stderr,none": 0.020276626829210515, |
|
"inst_level_loose_acc,none": 0.7637889688249401, |
|
"inst_level_loose_acc_stderr,none": "N/A" |
|
}, |
|
"leaderboard_math_hard": { |
|
"exact_match,none": 0.027190332326283987, |
|
"exact_match_stderr,none": 0.004437258088067923, |
|
"alias": " - leaderboard_math_hard" |
|
}, |
|
"leaderboard_math_algebra_hard": { |
|
"alias": " - leaderboard_math_algebra_hard", |
|
"exact_match,none": 0.05537459283387622, |
|
"exact_match_stderr,none": 0.01307447837002421 |
|
}, |
|
"leaderboard_math_counting_and_prob_hard": { |
|
"alias": " - leaderboard_math_counting_and_prob_hard", |
|
"exact_match,none": 0.008130081300813009, |
|
"exact_match_stderr,none": 0.008130081300813007 |
|
}, |
|
"leaderboard_math_geometry_hard": { |
|
"alias": " - leaderboard_math_geometry_hard", |
|
"exact_match,none": 0.015151515151515152, |
|
"exact_match_stderr,none": 0.01067276863717474 |
|
}, |
|
"leaderboard_math_intermediate_algebra_hard": { |
|
"alias": " - leaderboard_math_intermediate_algebra_hard", |
|
"exact_match,none": 0.0, |
|
"exact_match_stderr,none": 0.0 |
|
}, |
|
"leaderboard_math_num_theory_hard": { |
|
"alias": " - leaderboard_math_num_theory_hard", |
|
"exact_match,none": 0.032467532467532464, |
|
"exact_match_stderr,none": 0.014328862002759745 |
|
}, |
|
"leaderboard_math_prealgebra_hard": { |
|
"alias": " - leaderboard_math_prealgebra_hard", |
|
"exact_match,none": 0.05181347150259067, |
|
"exact_match_stderr,none": 0.015996229320244134 |
|
}, |
|
"leaderboard_math_precalculus_hard": { |
|
"alias": " - leaderboard_math_precalculus_hard", |
|
"exact_match,none": 0.007407407407407408, |
|
"exact_match_stderr,none": 0.007407407407407408 |
|
}, |
|
"leaderboard_mmlu_pro": { |
|
"alias": " - leaderboard_mmlu_pro", |
|
"acc,none": 0.16871675531914893, |
|
"acc_stderr,none": 0.0034143084856020126 |
|
}, |
|
"leaderboard_musr": { |
|
"acc_norm,none": 0.3584656084656085, |
|
"acc_norm_stderr,none": 0.016905583965331657, |
|
"alias": " - leaderboard_musr" |
|
}, |
|
"leaderboard_musr_murder_mysteries": { |
|
"alias": " - leaderboard_musr_murder_mysteries", |
|
"acc_norm,none": 0.528, |
|
"acc_norm_stderr,none": 0.031636489531544396 |
|
}, |
|
"leaderboard_musr_object_placements": { |
|
"alias": " - leaderboard_musr_object_placements", |
|
"acc_norm,none": 0.24609375, |
|
"acc_norm_stderr,none": 0.026973597563786113 |
|
}, |
|
"leaderboard_musr_team_allocation": { |
|
"alias": " - leaderboard_musr_team_allocation", |
|
"acc_norm,none": 0.304, |
|
"acc_norm_stderr,none": 0.02915021337415965 |
|
} |
|
} |
|
``` |
|
|
|
## Dataset Details |
|
|
|
### Dataset Description |
|
|
|
<!-- Provide a longer summary of what this dataset is. --> |
|
|
|
|
|
|
|
- **Curated by:** [More Information Needed] |
|
- **Funded by [optional]:** [More Information Needed] |
|
- **Shared by [optional]:** [More Information Needed] |
|
- **Language(s) (NLP):** [More Information Needed] |
|
- **License:** [More Information Needed] |
|
|
|
### Dataset Sources [optional] |
|
|
|
<!-- Provide the basic links for the dataset. --> |
|
|
|
- **Repository:** [More Information Needed] |
|
- **Paper [optional]:** [More Information Needed] |
|
- **Demo [optional]:** [More Information Needed] |
|
|
|
## Uses |
|
|
|
<!-- Address questions around how the dataset is intended to be used. --> |
|
|
|
### Direct Use |
|
|
|
<!-- This section describes suitable use cases for the dataset. --> |
|
|
|
[More Information Needed] |
|
|
|
### Out-of-Scope Use |
|
|
|
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
|
|
|
[More Information Needed] |
|
|
|
## Dataset Structure |
|
|
|
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
|
|
|
[More Information Needed] |
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
<!-- Motivation for the creation of this dataset. --> |
|
|
|
[More Information Needed] |
|
|
|
### Source Data |
|
|
|
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
|
|
|
#### Data Collection and Processing |
|
|
|
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
|
|
|
[More Information Needed] |
|
|
|
#### Who are the source data producers? |
|
|
|
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> |
|
|
|
[More Information Needed] |
|
|
|
### Annotations [optional] |
|
|
|
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> |
|
|
|
#### Annotation process |
|
|
|
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> |
|
|
|
[More Information Needed] |
|
|
|
#### Who are the annotators? |
|
|
|
<!-- This section describes the people or systems who created the annotations. --> |
|
|
|
[More Information Needed] |
|
|
|
#### Personal and Sensitive Information |
|
|
|
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> |
|
|
|
[More Information Needed] |
|
|
|
## Bias, Risks, and Limitations |
|
|
|
<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
|
|
|
[More Information Needed] |
|
|
|
### Recommendations |
|
|
|
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
|
|
|
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. |
|
|
|
## Citation [optional] |
|
|
|
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
|
|
|
**BibTeX:** |
|
|
|
[More Information Needed] |
|
|
|
**APA:** |
|
|
|
[More Information Needed] |
|
|
|
## Glossary [optional] |
|
|
|
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> |
|
|
|
[More Information Needed] |
|
|
|
## More Information [optional] |
|
|
|
[More Information Needed] |
|
|
|
## Dataset Card Authors [optional] |
|
|
|
[More Information Needed] |
|
|
|
## Dataset Card Contact |
|
|
|
[More Information Needed] |