|
--- |
|
pretty_name: Evaluation run of DeepMount00/Lexora-Medium-7B |
|
dataset_summary: "Dataset automatically created during the evaluation run of model\ |
|
\ [DeepMount00/Lexora-Medium-7B](https://huggingface.co/DeepMount00/Lexora-Medium-7B)\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/DeepMount00__Lexora-Medium-7B-details\"\ |
|
,\n\tname=\"DeepMount00__Lexora-Medium-7B__leaderboard_bbh_boolean_expressions\"\ |
|
,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ |
|
\ from run 2024-09-24T13-30-06.561197](https://huggingface.co/datasets/open-llm-leaderboard/DeepMount00__Lexora-Medium-7B-details/blob/main/DeepMount00__Lexora-Medium-7B/results_2024-09-24T13-30-06.561197.json)\ |
|
\ (note that there might be results for other tasks in the repos if successive evals\ |
|
\ didn't cover the same tasks. You find each in the results and the \"latest\" split\ |
|
\ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ |
|
\ \"inst_level_strict_acc,none\": 0.4676258992805755,\n \"\ |
|
inst_level_strict_acc_stderr,none\": \"N/A\",\n \"exact_match,none\"\ |
|
: 0.13746223564954682,\n \"exact_match_stderr,none\": 0.009210424970809686,\n\ |
|
\ \"prompt_level_loose_acc,none\": 0.4121996303142329,\n \"\ |
|
prompt_level_loose_acc_stderr,none\": 0.021182238151733198,\n \"acc_norm,none\"\ |
|
: 0.47295369049163316,\n \"acc_norm_stderr,none\": 0.005275911665606218,\n\ |
|
\ \"prompt_level_strict_acc,none\": 0.35304990757855825,\n \ |
|
\ \"prompt_level_strict_acc_stderr,none\": 0.020566318668824662,\n \"\ |
|
inst_level_loose_acc,none\": 0.5239808153477218,\n \"inst_level_loose_acc_stderr,none\"\ |
|
: \"N/A\",\n \"acc,none\": 0.43251329787234044,\n \"acc_stderr,none\"\ |
|
: 0.004516756867168949,\n \"alias\": \"leaderboard\"\n },\n \ |
|
\ \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.511543134872418,\n\ |
|
\ \"acc_norm_stderr,none\": 0.006063554223875386,\n \"alias\"\ |
|
: \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
|
: {\n \"acc_norm,none\": 0.844,\n \"acc_norm_stderr,none\"\ |
|
: 0.022995023034068734,\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ |
|
\n },\n \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\"\ |
|
: 0.6310160427807486,\n \"acc_norm_stderr,none\": 0.03538078548260322,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_causal_judgement\"\n },\n \ |
|
\ \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ |
|
: 0.596,\n \"acc_norm_stderr,none\": 0.03109668818482529,\n \ |
|
\ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"\ |
|
leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\": 0.636,\n\ |
|
\ \"acc_norm_stderr,none\": 0.030491555220405562,\n \"alias\"\ |
|
: \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
|
: {\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\"\ |
|
: 0.03127799950463661,\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
|
\n },\n \"leaderboard_bbh_geometric_shapes\": {\n \"acc_norm,none\"\ |
|
: 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n \ |
|
\ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"\ |
|
leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\": 0.684,\n \ |
|
\ \"acc_norm_stderr,none\": 0.02946265759857869,\n \"alias\": \"\ |
|
\ - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
|
: {\n \"acc_norm,none\": 0.464,\n \"acc_norm_stderr,none\"\ |
|
: 0.03160397514522374,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
|
\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.444,\n \"acc_norm_stderr,none\": 0.03148684942554575,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ |
|
\ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.724,\n \"acc_norm_stderr,none\": 0.028328537274211335,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ |
|
\ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
|
acc_norm,none\": 0.74,\n \"acc_norm_stderr,none\": 0.02779731575264431,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ |
|
\ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.624,\n\ |
|
\ \"acc_norm_stderr,none\": 0.030696336267394587,\n \"alias\"\ |
|
: \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
|
: {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\"\ |
|
: 0.030630325944558313,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
|
\n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
|
acc_norm,none\": 0.5273972602739726,\n \"acc_norm_stderr,none\": 0.041460358310533185,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ |
|
\ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
|
acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014553,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ |
|
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ |
|
: 0.444,\n \"acc_norm_stderr,none\": 0.03148684942554574,\n \ |
|
\ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
|
: {\n \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\"\ |
|
: 0.03167708558254709,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ |
|
\n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ |
|
: 0.6292134831460674,\n \"acc_norm_stderr,none\": 0.03630566062020186,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
|
: {\n \"acc_norm,none\": 0.724,\n \"acc_norm_stderr,none\"\ |
|
: 0.028328537274211356,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ |
|
\n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ |
|
acc_norm,none\": 0.128,\n \"acc_norm_stderr,none\": 0.021172081336336506,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ |
|
\ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.156,\n \"acc_norm_stderr,none\": 0.022995023034068734,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
|
\n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
: {\n \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\"\ |
|
: 0.021723342617052048,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
|
: {\n \"acc_norm,none\": 0.192,\n \"acc_norm_stderr,none\"\ |
|
: 0.024960691989172012,\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\": 0.3053691275167785,\n \"acc_norm_stderr,none\"\ |
|
: 0.013340805571501918,\n \"alias\": \" - leaderboard_gpqa\"\n \ |
|
\ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.35353535353535354,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03406086723547153,\n \"alias\"\ |
|
: \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ |
|
: {\n \"acc_norm,none\": 0.3021978021978022,\n \"acc_norm_stderr,none\"\ |
|
: 0.01967041696943915,\n \"alias\": \" - leaderboard_gpqa_extended\"\ |
|
\n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ |
|
: 0.28794642857142855,\n \"acc_norm_stderr,none\": 0.021416989369571808,\n\ |
|
\ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ |
|
: {\n \"prompt_level_strict_acc,none\": 0.35304990757855825,\n \ |
|
\ \"prompt_level_strict_acc_stderr,none\": 0.020566318668824662,\n \ |
|
\ \"inst_level_strict_acc,none\": 0.4676258992805755,\n \"inst_level_strict_acc_stderr,none\"\ |
|
: \"N/A\",\n \"prompt_level_loose_acc,none\": 0.4121996303142329,\n \ |
|
\ \"prompt_level_loose_acc_stderr,none\": 0.021182238151733198,\n \ |
|
\ \"inst_level_loose_acc,none\": 0.5239808153477218,\n \"inst_level_loose_acc_stderr,none\"\ |
|
: \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ |
|
\ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.13746223564954682,\n\ |
|
\ \"exact_match_stderr,none\": 0.009210424970809686,\n \"\ |
|
alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ |
|
: {\n \"exact_match,none\": 0.2247557003257329,\n \"exact_match_stderr,none\"\ |
|
: 0.023862389767465776,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ |
|
\n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ |
|
\ \"exact_match,none\": 0.12195121951219512,\n \"exact_match_stderr,none\"\ |
|
: 0.02962596329922861,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ |
|
\n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
|
: 0.06060606060606061,\n \"exact_match_stderr,none\": 0.02084712915668206,\n\ |
|
\ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ |
|
\ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ |
|
: 0.060714285714285714,\n \"exact_match_stderr,none\": 0.014296910615037482,\n\ |
|
\ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ |
|
\ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
|
: 0.09090909090909091,\n \"exact_match_stderr,none\": 0.02324136329840514,\n\ |
|
\ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ |
|
\ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ |
|
: 0.26424870466321243,\n \"exact_match_stderr,none\": 0.031821550509166484,\n\ |
|
\ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ |
|
\ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
|
: 0.05925925925925926,\n \"exact_match_stderr,none\": 0.02039673654232192,\n\ |
|
\ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ |
|
\ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.43251329787234044,\n\ |
|
\ \"acc_stderr,none\": 0.004516756867168949,\n \"alias\":\ |
|
\ \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ |
|
\ \"acc_norm,none\": 0.44312169312169314,\n \"acc_norm_stderr,none\"\ |
|
: 0.017800528989540005,\n \"alias\": \" - leaderboard_musr\"\n \ |
|
\ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ |
|
: 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223564,\n \ |
|
\ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"\ |
|
leaderboard_musr_object_placements\": {\n \"acc_norm,none\": 0.33984375,\n\ |
|
\ \"acc_norm_stderr,none\": 0.029661487249077814,\n \"alias\"\ |
|
: \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
|
: {\n \"acc_norm,none\": 0.432,\n \"acc_norm_stderr,none\"\ |
|
: 0.031391810765429407,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
|
\n }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ |
|
: 0.4676258992805755,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ |
|
\ \"exact_match,none\": 0.13746223564954682,\n \"exact_match_stderr,none\"\ |
|
: 0.009210424970809686,\n \"prompt_level_loose_acc,none\": 0.4121996303142329,\n\ |
|
\ \"prompt_level_loose_acc_stderr,none\": 0.021182238151733198,\n \ |
|
\ \"acc_norm,none\": 0.47295369049163316,\n \"acc_norm_stderr,none\": 0.005275911665606218,\n\ |
|
\ \"prompt_level_strict_acc,none\": 0.35304990757855825,\n \"prompt_level_strict_acc_stderr,none\"\ |
|
: 0.020566318668824662,\n \"inst_level_loose_acc,none\": 0.5239808153477218,\n\ |
|
\ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc,none\": 0.43251329787234044,\n\ |
|
\ \"acc_stderr,none\": 0.004516756867168949,\n \"alias\": \"leaderboard\"\ |
|
\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.511543134872418,\n\ |
|
\ \"acc_norm_stderr,none\": 0.006063554223875386,\n \"alias\": \"\ |
|
\ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ |
|
\ \"acc_norm,none\": 0.844,\n \"acc_norm_stderr,none\": 0.022995023034068734,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ |
|
leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.6310160427807486,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03538078548260322,\n \"alias\": \" \ |
|
\ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ |
|
: {\n \"acc_norm,none\": 0.596,\n \"acc_norm_stderr,none\": 0.03109668818482529,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
|
: {\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405562,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
|
: {\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
|
: {\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ |
|
: {\n \"acc_norm,none\": 0.684,\n \"acc_norm_stderr,none\": 0.02946265759857869,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
|
: {\n \"acc_norm,none\": 0.464,\n \"acc_norm_stderr,none\": 0.03160397514522374,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ |
|
\ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ |
|
: 0.444,\n \"acc_norm_stderr,none\": 0.03148684942554575,\n \"alias\"\ |
|
: \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ |
|
: {\n \"acc_norm,none\": 0.724,\n \"acc_norm_stderr,none\": 0.028328537274211335,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ |
|
\ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ |
|
: 0.74,\n \"acc_norm_stderr,none\": 0.02779731575264431,\n \"alias\"\ |
|
: \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ |
|
: {\n \"acc_norm,none\": 0.624,\n \"acc_norm_stderr,none\": 0.030696336267394587,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
|
: {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\": 0.030630325944558313,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ |
|
: {\n \"acc_norm,none\": 0.5273972602739726,\n \"acc_norm_stderr,none\"\ |
|
: 0.041460358310533185,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ |
|
\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
|
acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014553,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ |
|
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.444,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03148684942554574,\n \"alias\": \" \ |
|
\ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
|
: {\n \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ |
|
\ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.6292134831460674,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03630566062020186,\n \"alias\": \" \ |
|
\ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
|
: {\n \"acc_norm,none\": 0.724,\n \"acc_norm_stderr,none\": 0.028328537274211356,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ |
|
leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.128,\n \ |
|
\ \"acc_norm_stderr,none\": 0.021172081336336506,\n \"alias\": \" -\ |
|
\ leaderboard_bbh_temporal_sequences\"\n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
|
: {\n \"acc_norm,none\": 0.156,\n \"acc_norm_stderr,none\": 0.022995023034068734,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
|
\n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\": 0.021723342617052048,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.192,\n \"acc_norm_stderr,none\": 0.024960691989172012,\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\": 0.3053691275167785,\n \"acc_norm_stderr,none\": 0.013340805571501918,\n\ |
|
\ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ |
|
: {\n \"acc_norm,none\": 0.35353535353535354,\n \"acc_norm_stderr,none\"\ |
|
: 0.03406086723547153,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ |
|
\ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.3021978021978022,\n\ |
|
\ \"acc_norm_stderr,none\": 0.01967041696943915,\n \"alias\": \" \ |
|
\ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ |
|
\ \"acc_norm,none\": 0.28794642857142855,\n \"acc_norm_stderr,none\":\ |
|
\ 0.021416989369571808,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ |
|
\ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.35304990757855825,\n\ |
|
\ \"prompt_level_strict_acc_stderr,none\": 0.020566318668824662,\n \ |
|
\ \"inst_level_strict_acc,none\": 0.4676258992805755,\n \"inst_level_strict_acc_stderr,none\"\ |
|
: \"N/A\",\n \"prompt_level_loose_acc,none\": 0.4121996303142329,\n \ |
|
\ \"prompt_level_loose_acc_stderr,none\": 0.021182238151733198,\n \"inst_level_loose_acc,none\"\ |
|
: 0.5239808153477218,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ |
|
\ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ |
|
: {\n \"exact_match,none\": 0.13746223564954682,\n \"exact_match_stderr,none\"\ |
|
: 0.009210424970809686,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ |
|
\ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.2247557003257329,\n\ |
|
\ \"exact_match_stderr,none\": 0.023862389767465776,\n \"alias\":\ |
|
\ \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ |
|
: {\n \"exact_match,none\": 0.12195121951219512,\n \"exact_match_stderr,none\"\ |
|
: 0.02962596329922861,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ |
|
\n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
|
: 0.06060606060606061,\n \"exact_match_stderr,none\": 0.02084712915668206,\n\ |
|
\ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
|
: {\n \"exact_match,none\": 0.060714285714285714,\n \"exact_match_stderr,none\"\ |
|
: 0.014296910615037482,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ |
|
\n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
|
: 0.09090909090909091,\n \"exact_match_stderr,none\": 0.02324136329840514,\n\ |
|
\ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ |
|
: {\n \"exact_match,none\": 0.26424870466321243,\n \"exact_match_stderr,none\"\ |
|
: 0.031821550509166484,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
|
\n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
|
: 0.05925925925925926,\n \"exact_match_stderr,none\": 0.02039673654232192,\n\ |
|
\ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ |
|
: {\n \"acc,none\": 0.43251329787234044,\n \"acc_stderr,none\": 0.004516756867168949,\n\ |
|
\ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ |
|
: {\n \"acc_norm,none\": 0.44312169312169314,\n \"acc_norm_stderr,none\"\ |
|
: 0.017800528989540005,\n \"alias\": \" - leaderboard_musr\"\n },\n \ |
|
\ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.56,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03145724452223564,\n \"alias\": \" \ |
|
\ - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ |
|
: {\n \"acc_norm,none\": 0.33984375,\n \"acc_norm_stderr,none\": 0.029661487249077814,\n\ |
|
\ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
|
: {\n \"acc_norm,none\": 0.432,\n \"acc_norm_stderr,none\": 0.031391810765429407,\n\ |
|
\ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" |
|
repo_url: https://huggingface.co/DeepMount00/Lexora-Medium-7B |
|
leaderboard_url: '' |
|
point_of_contact: '' |
|
configs: |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_boolean_expressions |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_boolean_expressions_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_boolean_expressions_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_causal_judgement |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_causal_judgement_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_causal_judgement_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_date_understanding |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_date_understanding_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_date_understanding_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_disambiguation_qa |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_formal_fallacies |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_formal_fallacies_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_formal_fallacies_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_geometric_shapes |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_geometric_shapes_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_geometric_shapes_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_hyperbaton |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_hyperbaton_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_hyperbaton_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_logical_deduction_five_objects |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_logical_deduction_seven_objects |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_logical_deduction_three_objects |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_movie_recommendation |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_movie_recommendation_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_movie_recommendation_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_navigate |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_navigate_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_navigate_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_object_counting |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_object_counting_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_object_counting_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_penguins_in_a_table |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_reasoning_about_colored_objects |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_ruin_names |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_ruin_names_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_ruin_names_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_salient_translation_error_detection |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_snarks |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_snarks_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_snarks_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_sports_understanding |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_sports_understanding_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_sports_understanding_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_temporal_sequences |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_temporal_sequences_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_temporal_sequences_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_tracking_shuffled_objects_five_objects |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_tracking_shuffled_objects_three_objects |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_bbh_web_of_lies |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_bbh_web_of_lies_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_web_of_lies_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_gpqa_diamond |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_gpqa_diamond_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_diamond_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_gpqa_extended |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_gpqa_extended_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_extended_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_gpqa_main |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_gpqa_main_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_main_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_ifeval |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_ifeval_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_ifeval_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_math_algebra_hard |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_math_algebra_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_algebra_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_math_counting_and_prob_hard |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_math_geometry_hard |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_math_geometry_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_geometry_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_math_intermediate_algebra_hard |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_math_num_theory_hard |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_math_num_theory_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_num_theory_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_math_prealgebra_hard |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_math_prealgebra_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_prealgebra_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_math_precalculus_hard |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_math_precalculus_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_precalculus_hard_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_mmlu_pro |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_mmlu_pro_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_mmlu_pro_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_musr_murder_mysteries |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_musr_murder_mysteries_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_murder_mysteries_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_musr_object_placements |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_musr_object_placements_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_object_placements_2024-09-24T13-30-06.561197.jsonl' |
|
- config_name: DeepMount00__Lexora-Medium-7B__leaderboard_musr_team_allocation |
|
data_files: |
|
- split: 2024_09_24T13_30_06.561197 |
|
path: |
|
- '**/samples_leaderboard_musr_team_allocation_2024-09-24T13-30-06.561197.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_team_allocation_2024-09-24T13-30-06.561197.jsonl' |
|
--- |
|
|
|
# Dataset Card for Evaluation run of DeepMount00/Lexora-Medium-7B |
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
Dataset automatically created during the evaluation run of model [DeepMount00/Lexora-Medium-7B](https://huggingface.co/DeepMount00/Lexora-Medium-7B) |
|
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/DeepMount00__Lexora-Medium-7B-details", |
|
name="DeepMount00__Lexora-Medium-7B__leaderboard_bbh_boolean_expressions", |
|
split="latest" |
|
) |
|
``` |
|
|
|
## Latest results |
|
|
|
These are the [latest results from run 2024-09-24T13-30-06.561197](https://huggingface.co/datasets/open-llm-leaderboard/DeepMount00__Lexora-Medium-7B-details/blob/main/DeepMount00__Lexora-Medium-7B/results_2024-09-24T13-30-06.561197.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): |
|
|
|
```python |
|
{ |
|
"all": { |
|
"leaderboard": { |
|
"inst_level_strict_acc,none": 0.4676258992805755, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"exact_match,none": 0.13746223564954682, |
|
"exact_match_stderr,none": 0.009210424970809686, |
|
"prompt_level_loose_acc,none": 0.4121996303142329, |
|
"prompt_level_loose_acc_stderr,none": 0.021182238151733198, |
|
"acc_norm,none": 0.47295369049163316, |
|
"acc_norm_stderr,none": 0.005275911665606218, |
|
"prompt_level_strict_acc,none": 0.35304990757855825, |
|
"prompt_level_strict_acc_stderr,none": 0.020566318668824662, |
|
"inst_level_loose_acc,none": 0.5239808153477218, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"acc,none": 0.43251329787234044, |
|
"acc_stderr,none": 0.004516756867168949, |
|
"alias": "leaderboard" |
|
}, |
|
"leaderboard_bbh": { |
|
"acc_norm,none": 0.511543134872418, |
|
"acc_norm_stderr,none": 0.006063554223875386, |
|
"alias": " - leaderboard_bbh" |
|
}, |
|
"leaderboard_bbh_boolean_expressions": { |
|
"acc_norm,none": 0.844, |
|
"acc_norm_stderr,none": 0.022995023034068734, |
|
"alias": " - leaderboard_bbh_boolean_expressions" |
|
}, |
|
"leaderboard_bbh_causal_judgement": { |
|
"acc_norm,none": 0.6310160427807486, |
|
"acc_norm_stderr,none": 0.03538078548260322, |
|
"alias": " - leaderboard_bbh_causal_judgement" |
|
}, |
|
"leaderboard_bbh_date_understanding": { |
|
"acc_norm,none": 0.596, |
|
"acc_norm_stderr,none": 0.03109668818482529, |
|
"alias": " - leaderboard_bbh_date_understanding" |
|
}, |
|
"leaderboard_bbh_disambiguation_qa": { |
|
"acc_norm,none": 0.636, |
|
"acc_norm_stderr,none": 0.030491555220405562, |
|
"alias": " - leaderboard_bbh_disambiguation_qa" |
|
}, |
|
"leaderboard_bbh_formal_fallacies": { |
|
"acc_norm,none": 0.58, |
|
"acc_norm_stderr,none": 0.03127799950463661, |
|
"alias": " - leaderboard_bbh_formal_fallacies" |
|
}, |
|
"leaderboard_bbh_geometric_shapes": { |
|
"acc_norm,none": 0.488, |
|
"acc_norm_stderr,none": 0.03167708558254709, |
|
"alias": " - leaderboard_bbh_geometric_shapes" |
|
}, |
|
"leaderboard_bbh_hyperbaton": { |
|
"acc_norm,none": 0.684, |
|
"acc_norm_stderr,none": 0.02946265759857869, |
|
"alias": " - leaderboard_bbh_hyperbaton" |
|
}, |
|
"leaderboard_bbh_logical_deduction_five_objects": { |
|
"acc_norm,none": 0.464, |
|
"acc_norm_stderr,none": 0.03160397514522374, |
|
"alias": " - leaderboard_bbh_logical_deduction_five_objects" |
|
}, |
|
"leaderboard_bbh_logical_deduction_seven_objects": { |
|
"acc_norm,none": 0.444, |
|
"acc_norm_stderr,none": 0.03148684942554575, |
|
"alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
|
}, |
|
"leaderboard_bbh_logical_deduction_three_objects": { |
|
"acc_norm,none": 0.724, |
|
"acc_norm_stderr,none": 0.028328537274211335, |
|
"alias": " - leaderboard_bbh_logical_deduction_three_objects" |
|
}, |
|
"leaderboard_bbh_movie_recommendation": { |
|
"acc_norm,none": 0.74, |
|
"acc_norm_stderr,none": 0.02779731575264431, |
|
"alias": " - leaderboard_bbh_movie_recommendation" |
|
}, |
|
"leaderboard_bbh_navigate": { |
|
"acc_norm,none": 0.624, |
|
"acc_norm_stderr,none": 0.030696336267394587, |
|
"alias": " - leaderboard_bbh_navigate" |
|
}, |
|
"leaderboard_bbh_object_counting": { |
|
"acc_norm,none": 0.372, |
|
"acc_norm_stderr,none": 0.030630325944558313, |
|
"alias": " - leaderboard_bbh_object_counting" |
|
}, |
|
"leaderboard_bbh_penguins_in_a_table": { |
|
"acc_norm,none": 0.5273972602739726, |
|
"acc_norm_stderr,none": 0.041460358310533185, |
|
"alias": " - leaderboard_bbh_penguins_in_a_table" |
|
}, |
|
"leaderboard_bbh_reasoning_about_colored_objects": { |
|
"acc_norm,none": 0.584, |
|
"acc_norm_stderr,none": 0.031235856237014553, |
|
"alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
|
}, |
|
"leaderboard_bbh_ruin_names": { |
|
"acc_norm,none": 0.444, |
|
"acc_norm_stderr,none": 0.03148684942554574, |
|
"alias": " - leaderboard_bbh_ruin_names" |
|
}, |
|
"leaderboard_bbh_salient_translation_error_detection": { |
|
"acc_norm,none": 0.512, |
|
"acc_norm_stderr,none": 0.03167708558254709, |
|
"alias": " - leaderboard_bbh_salient_translation_error_detection" |
|
}, |
|
"leaderboard_bbh_snarks": { |
|
"acc_norm,none": 0.6292134831460674, |
|
"acc_norm_stderr,none": 0.03630566062020186, |
|
"alias": " - leaderboard_bbh_snarks" |
|
}, |
|
"leaderboard_bbh_sports_understanding": { |
|
"acc_norm,none": 0.724, |
|
"acc_norm_stderr,none": 0.028328537274211356, |
|
"alias": " - leaderboard_bbh_sports_understanding" |
|
}, |
|
"leaderboard_bbh_temporal_sequences": { |
|
"acc_norm,none": 0.128, |
|
"acc_norm_stderr,none": 0.021172081336336506, |
|
"alias": " - leaderboard_bbh_temporal_sequences" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
|
"acc_norm,none": 0.156, |
|
"acc_norm_stderr,none": 0.022995023034068734, |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
|
"acc_norm,none": 0.136, |
|
"acc_norm_stderr,none": 0.021723342617052048, |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
|
"acc_norm,none": 0.192, |
|
"acc_norm_stderr,none": 0.024960691989172012, |
|
"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": 0.3053691275167785, |
|
"acc_norm_stderr,none": 0.013340805571501918, |
|
"alias": " - leaderboard_gpqa" |
|
}, |
|
"leaderboard_gpqa_diamond": { |
|
"acc_norm,none": 0.35353535353535354, |
|
"acc_norm_stderr,none": 0.03406086723547153, |
|
"alias": " - leaderboard_gpqa_diamond" |
|
}, |
|
"leaderboard_gpqa_extended": { |
|
"acc_norm,none": 0.3021978021978022, |
|
"acc_norm_stderr,none": 0.01967041696943915, |
|
"alias": " - leaderboard_gpqa_extended" |
|
}, |
|
"leaderboard_gpqa_main": { |
|
"acc_norm,none": 0.28794642857142855, |
|
"acc_norm_stderr,none": 0.021416989369571808, |
|
"alias": " - leaderboard_gpqa_main" |
|
}, |
|
"leaderboard_ifeval": { |
|
"prompt_level_strict_acc,none": 0.35304990757855825, |
|
"prompt_level_strict_acc_stderr,none": 0.020566318668824662, |
|
"inst_level_strict_acc,none": 0.4676258992805755, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.4121996303142329, |
|
"prompt_level_loose_acc_stderr,none": 0.021182238151733198, |
|
"inst_level_loose_acc,none": 0.5239808153477218, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"alias": " - leaderboard_ifeval" |
|
}, |
|
"leaderboard_math_hard": { |
|
"exact_match,none": 0.13746223564954682, |
|
"exact_match_stderr,none": 0.009210424970809686, |
|
"alias": " - leaderboard_math_hard" |
|
}, |
|
"leaderboard_math_algebra_hard": { |
|
"exact_match,none": 0.2247557003257329, |
|
"exact_match_stderr,none": 0.023862389767465776, |
|
"alias": " - leaderboard_math_algebra_hard" |
|
}, |
|
"leaderboard_math_counting_and_prob_hard": { |
|
"exact_match,none": 0.12195121951219512, |
|
"exact_match_stderr,none": 0.02962596329922861, |
|
"alias": " - leaderboard_math_counting_and_prob_hard" |
|
}, |
|
"leaderboard_math_geometry_hard": { |
|
"exact_match,none": 0.06060606060606061, |
|
"exact_match_stderr,none": 0.02084712915668206, |
|
"alias": " - leaderboard_math_geometry_hard" |
|
}, |
|
"leaderboard_math_intermediate_algebra_hard": { |
|
"exact_match,none": 0.060714285714285714, |
|
"exact_match_stderr,none": 0.014296910615037482, |
|
"alias": " - leaderboard_math_intermediate_algebra_hard" |
|
}, |
|
"leaderboard_math_num_theory_hard": { |
|
"exact_match,none": 0.09090909090909091, |
|
"exact_match_stderr,none": 0.02324136329840514, |
|
"alias": " - leaderboard_math_num_theory_hard" |
|
}, |
|
"leaderboard_math_prealgebra_hard": { |
|
"exact_match,none": 0.26424870466321243, |
|
"exact_match_stderr,none": 0.031821550509166484, |
|
"alias": " - leaderboard_math_prealgebra_hard" |
|
}, |
|
"leaderboard_math_precalculus_hard": { |
|
"exact_match,none": 0.05925925925925926, |
|
"exact_match_stderr,none": 0.02039673654232192, |
|
"alias": " - leaderboard_math_precalculus_hard" |
|
}, |
|
"leaderboard_mmlu_pro": { |
|
"acc,none": 0.43251329787234044, |
|
"acc_stderr,none": 0.004516756867168949, |
|
"alias": " - leaderboard_mmlu_pro" |
|
}, |
|
"leaderboard_musr": { |
|
"acc_norm,none": 0.44312169312169314, |
|
"acc_norm_stderr,none": 0.017800528989540005, |
|
"alias": " - leaderboard_musr" |
|
}, |
|
"leaderboard_musr_murder_mysteries": { |
|
"acc_norm,none": 0.56, |
|
"acc_norm_stderr,none": 0.03145724452223564, |
|
"alias": " - leaderboard_musr_murder_mysteries" |
|
}, |
|
"leaderboard_musr_object_placements": { |
|
"acc_norm,none": 0.33984375, |
|
"acc_norm_stderr,none": 0.029661487249077814, |
|
"alias": " - leaderboard_musr_object_placements" |
|
}, |
|
"leaderboard_musr_team_allocation": { |
|
"acc_norm,none": 0.432, |
|
"acc_norm_stderr,none": 0.031391810765429407, |
|
"alias": " - leaderboard_musr_team_allocation" |
|
} |
|
}, |
|
"leaderboard": { |
|
"inst_level_strict_acc,none": 0.4676258992805755, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"exact_match,none": 0.13746223564954682, |
|
"exact_match_stderr,none": 0.009210424970809686, |
|
"prompt_level_loose_acc,none": 0.4121996303142329, |
|
"prompt_level_loose_acc_stderr,none": 0.021182238151733198, |
|
"acc_norm,none": 0.47295369049163316, |
|
"acc_norm_stderr,none": 0.005275911665606218, |
|
"prompt_level_strict_acc,none": 0.35304990757855825, |
|
"prompt_level_strict_acc_stderr,none": 0.020566318668824662, |
|
"inst_level_loose_acc,none": 0.5239808153477218, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"acc,none": 0.43251329787234044, |
|
"acc_stderr,none": 0.004516756867168949, |
|
"alias": "leaderboard" |
|
}, |
|
"leaderboard_bbh": { |
|
"acc_norm,none": 0.511543134872418, |
|
"acc_norm_stderr,none": 0.006063554223875386, |
|
"alias": " - leaderboard_bbh" |
|
}, |
|
"leaderboard_bbh_boolean_expressions": { |
|
"acc_norm,none": 0.844, |
|
"acc_norm_stderr,none": 0.022995023034068734, |
|
"alias": " - leaderboard_bbh_boolean_expressions" |
|
}, |
|
"leaderboard_bbh_causal_judgement": { |
|
"acc_norm,none": 0.6310160427807486, |
|
"acc_norm_stderr,none": 0.03538078548260322, |
|
"alias": " - leaderboard_bbh_causal_judgement" |
|
}, |
|
"leaderboard_bbh_date_understanding": { |
|
"acc_norm,none": 0.596, |
|
"acc_norm_stderr,none": 0.03109668818482529, |
|
"alias": " - leaderboard_bbh_date_understanding" |
|
}, |
|
"leaderboard_bbh_disambiguation_qa": { |
|
"acc_norm,none": 0.636, |
|
"acc_norm_stderr,none": 0.030491555220405562, |
|
"alias": " - leaderboard_bbh_disambiguation_qa" |
|
}, |
|
"leaderboard_bbh_formal_fallacies": { |
|
"acc_norm,none": 0.58, |
|
"acc_norm_stderr,none": 0.03127799950463661, |
|
"alias": " - leaderboard_bbh_formal_fallacies" |
|
}, |
|
"leaderboard_bbh_geometric_shapes": { |
|
"acc_norm,none": 0.488, |
|
"acc_norm_stderr,none": 0.03167708558254709, |
|
"alias": " - leaderboard_bbh_geometric_shapes" |
|
}, |
|
"leaderboard_bbh_hyperbaton": { |
|
"acc_norm,none": 0.684, |
|
"acc_norm_stderr,none": 0.02946265759857869, |
|
"alias": " - leaderboard_bbh_hyperbaton" |
|
}, |
|
"leaderboard_bbh_logical_deduction_five_objects": { |
|
"acc_norm,none": 0.464, |
|
"acc_norm_stderr,none": 0.03160397514522374, |
|
"alias": " - leaderboard_bbh_logical_deduction_five_objects" |
|
}, |
|
"leaderboard_bbh_logical_deduction_seven_objects": { |
|
"acc_norm,none": 0.444, |
|
"acc_norm_stderr,none": 0.03148684942554575, |
|
"alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
|
}, |
|
"leaderboard_bbh_logical_deduction_three_objects": { |
|
"acc_norm,none": 0.724, |
|
"acc_norm_stderr,none": 0.028328537274211335, |
|
"alias": " - leaderboard_bbh_logical_deduction_three_objects" |
|
}, |
|
"leaderboard_bbh_movie_recommendation": { |
|
"acc_norm,none": 0.74, |
|
"acc_norm_stderr,none": 0.02779731575264431, |
|
"alias": " - leaderboard_bbh_movie_recommendation" |
|
}, |
|
"leaderboard_bbh_navigate": { |
|
"acc_norm,none": 0.624, |
|
"acc_norm_stderr,none": 0.030696336267394587, |
|
"alias": " - leaderboard_bbh_navigate" |
|
}, |
|
"leaderboard_bbh_object_counting": { |
|
"acc_norm,none": 0.372, |
|
"acc_norm_stderr,none": 0.030630325944558313, |
|
"alias": " - leaderboard_bbh_object_counting" |
|
}, |
|
"leaderboard_bbh_penguins_in_a_table": { |
|
"acc_norm,none": 0.5273972602739726, |
|
"acc_norm_stderr,none": 0.041460358310533185, |
|
"alias": " - leaderboard_bbh_penguins_in_a_table" |
|
}, |
|
"leaderboard_bbh_reasoning_about_colored_objects": { |
|
"acc_norm,none": 0.584, |
|
"acc_norm_stderr,none": 0.031235856237014553, |
|
"alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
|
}, |
|
"leaderboard_bbh_ruin_names": { |
|
"acc_norm,none": 0.444, |
|
"acc_norm_stderr,none": 0.03148684942554574, |
|
"alias": " - leaderboard_bbh_ruin_names" |
|
}, |
|
"leaderboard_bbh_salient_translation_error_detection": { |
|
"acc_norm,none": 0.512, |
|
"acc_norm_stderr,none": 0.03167708558254709, |
|
"alias": " - leaderboard_bbh_salient_translation_error_detection" |
|
}, |
|
"leaderboard_bbh_snarks": { |
|
"acc_norm,none": 0.6292134831460674, |
|
"acc_norm_stderr,none": 0.03630566062020186, |
|
"alias": " - leaderboard_bbh_snarks" |
|
}, |
|
"leaderboard_bbh_sports_understanding": { |
|
"acc_norm,none": 0.724, |
|
"acc_norm_stderr,none": 0.028328537274211356, |
|
"alias": " - leaderboard_bbh_sports_understanding" |
|
}, |
|
"leaderboard_bbh_temporal_sequences": { |
|
"acc_norm,none": 0.128, |
|
"acc_norm_stderr,none": 0.021172081336336506, |
|
"alias": " - leaderboard_bbh_temporal_sequences" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
|
"acc_norm,none": 0.156, |
|
"acc_norm_stderr,none": 0.022995023034068734, |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
|
"acc_norm,none": 0.136, |
|
"acc_norm_stderr,none": 0.021723342617052048, |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
|
"acc_norm,none": 0.192, |
|
"acc_norm_stderr,none": 0.024960691989172012, |
|
"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": 0.3053691275167785, |
|
"acc_norm_stderr,none": 0.013340805571501918, |
|
"alias": " - leaderboard_gpqa" |
|
}, |
|
"leaderboard_gpqa_diamond": { |
|
"acc_norm,none": 0.35353535353535354, |
|
"acc_norm_stderr,none": 0.03406086723547153, |
|
"alias": " - leaderboard_gpqa_diamond" |
|
}, |
|
"leaderboard_gpqa_extended": { |
|
"acc_norm,none": 0.3021978021978022, |
|
"acc_norm_stderr,none": 0.01967041696943915, |
|
"alias": " - leaderboard_gpqa_extended" |
|
}, |
|
"leaderboard_gpqa_main": { |
|
"acc_norm,none": 0.28794642857142855, |
|
"acc_norm_stderr,none": 0.021416989369571808, |
|
"alias": " - leaderboard_gpqa_main" |
|
}, |
|
"leaderboard_ifeval": { |
|
"prompt_level_strict_acc,none": 0.35304990757855825, |
|
"prompt_level_strict_acc_stderr,none": 0.020566318668824662, |
|
"inst_level_strict_acc,none": 0.4676258992805755, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.4121996303142329, |
|
"prompt_level_loose_acc_stderr,none": 0.021182238151733198, |
|
"inst_level_loose_acc,none": 0.5239808153477218, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"alias": " - leaderboard_ifeval" |
|
}, |
|
"leaderboard_math_hard": { |
|
"exact_match,none": 0.13746223564954682, |
|
"exact_match_stderr,none": 0.009210424970809686, |
|
"alias": " - leaderboard_math_hard" |
|
}, |
|
"leaderboard_math_algebra_hard": { |
|
"exact_match,none": 0.2247557003257329, |
|
"exact_match_stderr,none": 0.023862389767465776, |
|
"alias": " - leaderboard_math_algebra_hard" |
|
}, |
|
"leaderboard_math_counting_and_prob_hard": { |
|
"exact_match,none": 0.12195121951219512, |
|
"exact_match_stderr,none": 0.02962596329922861, |
|
"alias": " - leaderboard_math_counting_and_prob_hard" |
|
}, |
|
"leaderboard_math_geometry_hard": { |
|
"exact_match,none": 0.06060606060606061, |
|
"exact_match_stderr,none": 0.02084712915668206, |
|
"alias": " - leaderboard_math_geometry_hard" |
|
}, |
|
"leaderboard_math_intermediate_algebra_hard": { |
|
"exact_match,none": 0.060714285714285714, |
|
"exact_match_stderr,none": 0.014296910615037482, |
|
"alias": " - leaderboard_math_intermediate_algebra_hard" |
|
}, |
|
"leaderboard_math_num_theory_hard": { |
|
"exact_match,none": 0.09090909090909091, |
|
"exact_match_stderr,none": 0.02324136329840514, |
|
"alias": " - leaderboard_math_num_theory_hard" |
|
}, |
|
"leaderboard_math_prealgebra_hard": { |
|
"exact_match,none": 0.26424870466321243, |
|
"exact_match_stderr,none": 0.031821550509166484, |
|
"alias": " - leaderboard_math_prealgebra_hard" |
|
}, |
|
"leaderboard_math_precalculus_hard": { |
|
"exact_match,none": 0.05925925925925926, |
|
"exact_match_stderr,none": 0.02039673654232192, |
|
"alias": " - leaderboard_math_precalculus_hard" |
|
}, |
|
"leaderboard_mmlu_pro": { |
|
"acc,none": 0.43251329787234044, |
|
"acc_stderr,none": 0.004516756867168949, |
|
"alias": " - leaderboard_mmlu_pro" |
|
}, |
|
"leaderboard_musr": { |
|
"acc_norm,none": 0.44312169312169314, |
|
"acc_norm_stderr,none": 0.017800528989540005, |
|
"alias": " - leaderboard_musr" |
|
}, |
|
"leaderboard_musr_murder_mysteries": { |
|
"acc_norm,none": 0.56, |
|
"acc_norm_stderr,none": 0.03145724452223564, |
|
"alias": " - leaderboard_musr_murder_mysteries" |
|
}, |
|
"leaderboard_musr_object_placements": { |
|
"acc_norm,none": 0.33984375, |
|
"acc_norm_stderr,none": 0.029661487249077814, |
|
"alias": " - leaderboard_musr_object_placements" |
|
}, |
|
"leaderboard_musr_team_allocation": { |
|
"acc_norm,none": 0.432, |
|
"acc_norm_stderr,none": 0.031391810765429407, |
|
"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 |
|
|
|
<!-- 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] |