|
--- |
|
pretty_name: Evaluation run of prithivMLmods/Primal-Opus-14B-Optimus-v2 |
|
dataset_summary: "Dataset automatically created during the evaluation run of model\ |
|
\ [prithivMLmods/Primal-Opus-14B-Optimus-v2](https://huggingface.co/prithivMLmods/Primal-Opus-14B-Optimus-v2)\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/prithivMLmods__Primal-Opus-14B-Optimus-v2-details\"\ |
|
,\n\tname=\"prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_boolean_expressions\"\ |
|
,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ |
|
\ from run 2025-02-27T21-05-40.220144](https://huggingface.co/datasets/open-llm-leaderboard/prithivMLmods__Primal-Opus-14B-Optimus-v2-details/blob/main/prithivMLmods__Primal-Opus-14B-Optimus-v2/results_2025-02-27T21-05-40.220144.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\ |
|
\ \"prompt_level_strict_acc,none\": 0.5841035120147874,\n \ |
|
\ \"prompt_level_strict_acc_stderr,none\": 0.02120999935681886,\n \"\ |
|
exact_match,none\": 0.4206948640483384,\n \"exact_match_stderr,none\"\ |
|
: 0.01244333832621114,\n \"inst_level_loose_acc,none\": 0.7733812949640287,\n\ |
|
\ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ |
|
: 0.5963159942923856,\n \"acc_norm_stderr,none\": 0.005168963549033638,\n\ |
|
\ \"acc,none\": 0.542220744680851,\n \"acc_stderr,none\":\ |
|
\ 0.004542189566084042,\n \"inst_level_strict_acc,none\": 0.6966426858513189,\n\ |
|
\ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ |
|
: 0.6839186691312384,\n \"prompt_level_loose_acc_stderr,none\": 0.020008050377239083,\n\ |
|
\ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ |
|
: {\n \"acc_norm,none\": 0.65266446797431,\n \"acc_norm_stderr,none\"\ |
|
: 0.00579933832278404,\n \"alias\": \" - leaderboard_bbh\"\n },\n\ |
|
\ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" \ |
|
\ - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.872,\n\ |
|
\ \"acc_norm_stderr,none\": 0.021172081336336534\n },\n \ |
|
\ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ |
|
,\n \"acc_norm,none\": 0.6096256684491979,\n \"acc_norm_stderr,none\"\ |
|
: 0.03576973947986408\n },\n \"leaderboard_bbh_date_understanding\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ |
|
\ \"acc_norm,none\": 0.676,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ |
|
\ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ |
|
: \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.644,\n\ |
|
\ \"acc_norm_stderr,none\": 0.0303436806571532\n },\n \"\ |
|
leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
|
,\n \"acc_norm,none\": 0.704,\n \"acc_norm_stderr,none\":\ |
|
\ 0.028928939388379697\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ |
|
\ \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ |
|
\ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ |
|
\ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.72,\n \ |
|
\ \"acc_norm_stderr,none\": 0.02845414827783231\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
|
,\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\":\ |
|
\ 0.030881038748993974\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ |
|
,\n \"acc_norm,none\": 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ |
|
\ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ |
|
\ \"acc_norm,none\": 0.912,\n \"acc_norm_stderr,none\": 0.017953084777052892\n\ |
|
\ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
|
alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ |
|
: 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n },\n\ |
|
\ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ |
|
,\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\":\ |
|
\ 0.02806876238252672\n },\n \"leaderboard_bbh_object_counting\":\ |
|
\ {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ |
|
\ \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ |
|
\ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
|
alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ |
|
: 0.684931506849315,\n \"acc_norm_stderr,none\": 0.03857820876541411\n\ |
|
\ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ |
|
\ \"acc_norm,none\": 0.832,\n \"acc_norm_stderr,none\": 0.023692813205492536\n\ |
|
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ |
|
\ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.824,\n \ |
|
\ \"acc_norm_stderr,none\": 0.024133497525457123\n },\n \"\ |
|
leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ |
|
: \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ |
|
: 0.628,\n \"acc_norm_stderr,none\": 0.03063032594455827\n },\n\ |
|
\ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ |
|
,\n \"acc_norm,none\": 0.7865168539325843,\n \"acc_norm_stderr,none\"\ |
|
: 0.030799891078809365\n },\n \"leaderboard_bbh_sports_understanding\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ |
|
\ \"acc_norm,none\": 0.776,\n \"acc_norm_stderr,none\": 0.026421361687347884\n\ |
|
\ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ |
|
: \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.912,\n\ |
|
\ \"acc_norm_stderr,none\": 0.017953084777052892\n },\n \ |
|
\ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ |
|
alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ |
|
\ \"acc_norm,none\": 0.248,\n \"acc_norm_stderr,none\": 0.027367497504863593\n\ |
|
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
,\n \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ |
|
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
|
,\n \"acc_norm,none\": 0.348,\n \"acc_norm_stderr,none\":\ |
|
\ 0.030186568464511673\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ |
|
\ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ |
|
: 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014505\n },\n\ |
|
\ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.39177852348993286,\n\ |
|
\ \"acc_norm_stderr,none\": 0.014155979293903224,\n \"alias\"\ |
|
: \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ |
|
\ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ |
|
: 0.398989898989899,\n \"acc_norm_stderr,none\": 0.03488901616852734\n\ |
|
\ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ |
|
\ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.39377289377289376,\n\ |
|
\ \"acc_norm_stderr,none\": 0.02092870387035164\n },\n \ |
|
\ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
|
,\n \"acc_norm,none\": 0.3861607142857143,\n \"acc_norm_stderr,none\"\ |
|
: 0.02302807434668535\n },\n \"leaderboard_ifeval\": {\n \ |
|
\ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ |
|
: 0.5841035120147874,\n \"prompt_level_strict_acc_stderr,none\": 0.02120999935681886,\n\ |
|
\ \"inst_level_strict_acc,none\": 0.6966426858513189,\n \"\ |
|
inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ |
|
: 0.6839186691312384,\n \"prompt_level_loose_acc_stderr,none\": 0.020008050377239083,\n\ |
|
\ \"inst_level_loose_acc,none\": 0.7733812949640287,\n \"\ |
|
inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ |
|
: {\n \"exact_match,none\": 0.4206948640483384,\n \"exact_match_stderr,none\"\ |
|
: 0.01244333832621114,\n \"alias\": \" - leaderboard_math_hard\"\n \ |
|
\ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\":\ |
|
\ \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.6710097719869706,\n\ |
|
\ \"exact_match_stderr,none\": 0.026859332057560827\n },\n \ |
|
\ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ |
|
\ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ |
|
: 0.3902439024390244,\n \"exact_match_stderr,none\": 0.04416377855732611\n\ |
|
\ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ |
|
: \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.25,\n\ |
|
\ \"exact_match_stderr,none\": 0.037832495422898876\n },\n \ |
|
\ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ |
|
\ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ |
|
: 0.175,\n \"exact_match_stderr,none\": 0.02274803548176347\n \ |
|
\ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \"\ |
|
\ - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.461038961038961,\n\ |
|
\ \"exact_match_stderr,none\": 0.04029969732148262\n },\n \ |
|
\ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
|
,\n \"exact_match,none\": 0.616580310880829,\n \"exact_match_stderr,none\"\ |
|
: 0.03508984236295346\n },\n \"leaderboard_math_precalculus_hard\"\ |
|
: {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ |
|
\ \"exact_match,none\": 0.22962962962962963,\n \"exact_match_stderr,none\"\ |
|
: 0.03633384414073468\n },\n \"leaderboard_mmlu_pro\": {\n \ |
|
\ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.542220744680851,\n\ |
|
\ \"acc_stderr,none\": 0.004542189566084042\n },\n \"leaderboard_musr\"\ |
|
: {\n \"acc_norm,none\": 0.4894179894179894,\n \"acc_norm_stderr,none\"\ |
|
: 0.01807860943015716,\n \"alias\": \" - leaderboard_musr\"\n \ |
|
\ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\ |
|
\ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.568,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03139181076542941\n },\n \ |
|
\ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ |
|
,\n \"acc_norm,none\": 0.41796875,\n \"acc_norm_stderr,none\"\ |
|
: 0.030886945908310395\n },\n \"leaderboard_musr_team_allocation\"\ |
|
: {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ |
|
\ \"acc_norm,none\": 0.484,\n \"acc_norm_stderr,none\": 0.03166998503010743\n\ |
|
\ }\n },\n \"leaderboard\": {\n \"prompt_level_strict_acc,none\"\ |
|
: 0.5841035120147874,\n \"prompt_level_strict_acc_stderr,none\": 0.02120999935681886,\n\ |
|
\ \"exact_match,none\": 0.4206948640483384,\n \"exact_match_stderr,none\"\ |
|
: 0.01244333832621114,\n \"inst_level_loose_acc,none\": 0.7733812949640287,\n\ |
|
\ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ |
|
: 0.5963159942923856,\n \"acc_norm_stderr,none\": 0.005168963549033638,\n\ |
|
\ \"acc,none\": 0.542220744680851,\n \"acc_stderr,none\": 0.004542189566084042,\n\ |
|
\ \"inst_level_strict_acc,none\": 0.6966426858513189,\n \"inst_level_strict_acc_stderr,none\"\ |
|
: \"N/A\",\n \"prompt_level_loose_acc,none\": 0.6839186691312384,\n \ |
|
\ \"prompt_level_loose_acc_stderr,none\": 0.020008050377239083,\n \"alias\"\ |
|
: \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ |
|
: 0.65266446797431,\n \"acc_norm_stderr,none\": 0.00579933832278404,\n \ |
|
\ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"\ |
|
acc_norm,none\": 0.872,\n \"acc_norm_stderr,none\": 0.021172081336336534\n\ |
|
\ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ |
|
,\n \"acc_norm,none\": 0.6096256684491979,\n \"acc_norm_stderr,none\"\ |
|
: 0.03576973947986408\n },\n \"leaderboard_bbh_date_understanding\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ |
|
: 0.676,\n \"acc_norm_stderr,none\": 0.029658294924545567\n },\n \"\ |
|
leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ |
|
,\n \"acc_norm,none\": 0.644,\n \"acc_norm_stderr,none\": 0.0303436806571532\n\ |
|
\ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
|
,\n \"acc_norm,none\": 0.704,\n \"acc_norm_stderr,none\": 0.028928939388379697\n\ |
|
\ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
|
,\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ |
|
\ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ |
|
,\n \"acc_norm,none\": 0.72,\n \"acc_norm_stderr,none\": 0.02845414827783231\n\ |
|
\ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ |
|
: \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ |
|
: 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993974\n },\n \"\ |
|
leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ |
|
,\n \"acc_norm,none\": 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ |
|
\ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ |
|
alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ |
|
: 0.912,\n \"acc_norm_stderr,none\": 0.017953084777052892\n },\n \"\ |
|
leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ |
|
,\n \"acc_norm,none\": 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n\ |
|
\ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ |
|
,\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ |
|
\ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
|
,\n \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ |
|
\ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ |
|
\ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.684931506849315,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03857820876541411\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ |
|
: {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ |
|
,\n \"acc_norm,none\": 0.832,\n \"acc_norm_stderr,none\": 0.023692813205492536\n\ |
|
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ |
|
,\n \"acc_norm,none\": 0.824,\n \"acc_norm_stderr,none\": 0.024133497525457123\n\ |
|
\ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ |
|
\ \"acc_norm,none\": 0.628,\n \"acc_norm_stderr,none\": 0.03063032594455827\n\ |
|
\ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ |
|
,\n \"acc_norm,none\": 0.7865168539325843,\n \"acc_norm_stderr,none\"\ |
|
: 0.030799891078809365\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ |
|
\ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ |
|
: 0.776,\n \"acc_norm_stderr,none\": 0.026421361687347884\n },\n \"\ |
|
leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ |
|
,\n \"acc_norm,none\": 0.912,\n \"acc_norm_stderr,none\": 0.017953084777052892\n\ |
|
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
|
,\n \"acc_norm,none\": 0.248,\n \"acc_norm_stderr,none\": 0.027367497504863593\n\ |
|
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
,\n \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ |
|
\ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
|
,\n \"acc_norm,none\": 0.348,\n \"acc_norm_stderr,none\": 0.030186568464511673\n\ |
|
\ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ |
|
,\n \"acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014505\n\ |
|
\ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.39177852348993286,\n\ |
|
\ \"acc_norm_stderr,none\": 0.014155979293903224,\n \"alias\": \"\ |
|
\ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ |
|
alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.398989898989899,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03488901616852734\n },\n \"leaderboard_gpqa_extended\"\ |
|
: {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ |
|
: 0.39377289377289376,\n \"acc_norm_stderr,none\": 0.02092870387035164\n\ |
|
\ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
|
,\n \"acc_norm,none\": 0.3861607142857143,\n \"acc_norm_stderr,none\"\ |
|
: 0.02302807434668535\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ |
|
: \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.5841035120147874,\n\ |
|
\ \"prompt_level_strict_acc_stderr,none\": 0.02120999935681886,\n \ |
|
\ \"inst_level_strict_acc,none\": 0.6966426858513189,\n \"inst_level_strict_acc_stderr,none\"\ |
|
: \"N/A\",\n \"prompt_level_loose_acc,none\": 0.6839186691312384,\n \ |
|
\ \"prompt_level_loose_acc_stderr,none\": 0.020008050377239083,\n \"inst_level_loose_acc,none\"\ |
|
: 0.7733812949640287,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ |
|
\ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.4206948640483384,\n\ |
|
\ \"exact_match_stderr,none\": 0.01244333832621114,\n \"alias\": \"\ |
|
\ - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ |
|
\ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ |
|
: 0.6710097719869706,\n \"exact_match_stderr,none\": 0.026859332057560827\n\ |
|
\ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ |
|
\ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ |
|
: 0.3902439024390244,\n \"exact_match_stderr,none\": 0.04416377855732611\n\ |
|
\ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ |
|
,\n \"exact_match,none\": 0.25,\n \"exact_match_stderr,none\": 0.037832495422898876\n\ |
|
\ },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\"\ |
|
: \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ |
|
: 0.175,\n \"exact_match_stderr,none\": 0.02274803548176347\n },\n \ |
|
\ \"leaderboard_math_num_theory_hard\": {\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ |
|
,\n \"exact_match,none\": 0.461038961038961,\n \"exact_match_stderr,none\"\ |
|
: 0.04029969732148262\n },\n \"leaderboard_math_prealgebra_hard\": {\n \ |
|
\ \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \"exact_match,none\"\ |
|
: 0.616580310880829,\n \"exact_match_stderr,none\": 0.03508984236295346\n\ |
|
\ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" -\ |
|
\ leaderboard_math_precalculus_hard\",\n \"exact_match,none\": 0.22962962962962963,\n\ |
|
\ \"exact_match_stderr,none\": 0.03633384414073468\n },\n \"leaderboard_mmlu_pro\"\ |
|
: {\n \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.542220744680851,\n\ |
|
\ \"acc_stderr,none\": 0.004542189566084042\n },\n \"leaderboard_musr\"\ |
|
: {\n \"acc_norm,none\": 0.4894179894179894,\n \"acc_norm_stderr,none\"\ |
|
: 0.01807860943015716,\n \"alias\": \" - leaderboard_musr\"\n },\n \ |
|
\ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ |
|
,\n \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941\n\ |
|
\ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ |
|
\ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.41796875,\n\ |
|
\ \"acc_norm_stderr,none\": 0.030886945908310395\n },\n \"leaderboard_musr_team_allocation\"\ |
|
: {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ |
|
: 0.484,\n \"acc_norm_stderr,none\": 0.03166998503010743\n }\n}\n```" |
|
repo_url: https://huggingface.co/prithivMLmods/Primal-Opus-14B-Optimus-v2 |
|
leaderboard_url: '' |
|
point_of_contact: '' |
|
configs: |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_boolean_expressions |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_boolean_expressions_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_boolean_expressions_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_causal_judgement |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_causal_judgement_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_causal_judgement_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_date_understanding |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_date_understanding_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_date_understanding_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_disambiguation_qa |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_disambiguation_qa_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_disambiguation_qa_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_formal_fallacies |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_formal_fallacies_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_formal_fallacies_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_geometric_shapes |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_geometric_shapes_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_geometric_shapes_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_hyperbaton |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_hyperbaton_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_hyperbaton_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_logical_deduction_five_objects |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_logical_deduction_seven_objects |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_logical_deduction_three_objects |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_movie_recommendation |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_movie_recommendation_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_movie_recommendation_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_navigate |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_navigate_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_navigate_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_object_counting |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_object_counting_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_object_counting_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_penguins_in_a_table |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_penguins_in_a_table_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_penguins_in_a_table_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_reasoning_about_colored_objects |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_ruin_names |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_ruin_names_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_ruin_names_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_salient_translation_error_detection |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_snarks |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_snarks_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_snarks_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_sports_understanding |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_sports_understanding_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_sports_understanding_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_temporal_sequences |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_temporal_sequences_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_temporal_sequences_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_tracking_shuffled_objects_five_objects |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_tracking_shuffled_objects_three_objects |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_web_of_lies |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_bbh_web_of_lies_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_web_of_lies_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_gpqa_diamond |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_gpqa_diamond_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_diamond_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_gpqa_extended |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_gpqa_extended_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_extended_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_gpqa_main |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_gpqa_main_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_main_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_ifeval |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_ifeval_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_ifeval_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_math_algebra_hard |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_math_algebra_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_algebra_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_math_counting_and_prob_hard |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_math_counting_and_prob_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_counting_and_prob_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_math_geometry_hard |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_math_geometry_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_geometry_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_math_intermediate_algebra_hard |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_math_intermediate_algebra_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_intermediate_algebra_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_math_num_theory_hard |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_math_num_theory_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_num_theory_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_math_prealgebra_hard |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_math_prealgebra_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_prealgebra_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_math_precalculus_hard |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_math_precalculus_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_precalculus_hard_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_mmlu_pro |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_mmlu_pro_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_mmlu_pro_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_musr_murder_mysteries |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_musr_murder_mysteries_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_murder_mysteries_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_musr_object_placements |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_musr_object_placements_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_object_placements_2025-02-27T21-05-40.220144.jsonl' |
|
- config_name: prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_musr_team_allocation |
|
data_files: |
|
- split: 2025_02_27T21_05_40.220144 |
|
path: |
|
- '**/samples_leaderboard_musr_team_allocation_2025-02-27T21-05-40.220144.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_team_allocation_2025-02-27T21-05-40.220144.jsonl' |
|
--- |
|
|
|
# Dataset Card for Evaluation run of prithivMLmods/Primal-Opus-14B-Optimus-v2 |
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
Dataset automatically created during the evaluation run of model [prithivMLmods/Primal-Opus-14B-Optimus-v2](https://huggingface.co/prithivMLmods/Primal-Opus-14B-Optimus-v2) |
|
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/prithivMLmods__Primal-Opus-14B-Optimus-v2-details", |
|
name="prithivMLmods__Primal-Opus-14B-Optimus-v2__leaderboard_bbh_boolean_expressions", |
|
split="latest" |
|
) |
|
``` |
|
|
|
## Latest results |
|
|
|
These are the [latest results from run 2025-02-27T21-05-40.220144](https://huggingface.co/datasets/open-llm-leaderboard/prithivMLmods__Primal-Opus-14B-Optimus-v2-details/blob/main/prithivMLmods__Primal-Opus-14B-Optimus-v2/results_2025-02-27T21-05-40.220144.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": { |
|
"prompt_level_strict_acc,none": 0.5841035120147874, |
|
"prompt_level_strict_acc_stderr,none": 0.02120999935681886, |
|
"exact_match,none": 0.4206948640483384, |
|
"exact_match_stderr,none": 0.01244333832621114, |
|
"inst_level_loose_acc,none": 0.7733812949640287, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"acc_norm,none": 0.5963159942923856, |
|
"acc_norm_stderr,none": 0.005168963549033638, |
|
"acc,none": 0.542220744680851, |
|
"acc_stderr,none": 0.004542189566084042, |
|
"inst_level_strict_acc,none": 0.6966426858513189, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.6839186691312384, |
|
"prompt_level_loose_acc_stderr,none": 0.020008050377239083, |
|
"alias": "leaderboard" |
|
}, |
|
"leaderboard_bbh": { |
|
"acc_norm,none": 0.65266446797431, |
|
"acc_norm_stderr,none": 0.00579933832278404, |
|
"alias": " - leaderboard_bbh" |
|
}, |
|
"leaderboard_bbh_boolean_expressions": { |
|
"alias": " - leaderboard_bbh_boolean_expressions", |
|
"acc_norm,none": 0.872, |
|
"acc_norm_stderr,none": 0.021172081336336534 |
|
}, |
|
"leaderboard_bbh_causal_judgement": { |
|
"alias": " - leaderboard_bbh_causal_judgement", |
|
"acc_norm,none": 0.6096256684491979, |
|
"acc_norm_stderr,none": 0.03576973947986408 |
|
}, |
|
"leaderboard_bbh_date_understanding": { |
|
"alias": " - leaderboard_bbh_date_understanding", |
|
"acc_norm,none": 0.676, |
|
"acc_norm_stderr,none": 0.029658294924545567 |
|
}, |
|
"leaderboard_bbh_disambiguation_qa": { |
|
"alias": " - leaderboard_bbh_disambiguation_qa", |
|
"acc_norm,none": 0.644, |
|
"acc_norm_stderr,none": 0.0303436806571532 |
|
}, |
|
"leaderboard_bbh_formal_fallacies": { |
|
"alias": " - leaderboard_bbh_formal_fallacies", |
|
"acc_norm,none": 0.704, |
|
"acc_norm_stderr,none": 0.028928939388379697 |
|
}, |
|
"leaderboard_bbh_geometric_shapes": { |
|
"alias": " - leaderboard_bbh_geometric_shapes", |
|
"acc_norm,none": 0.488, |
|
"acc_norm_stderr,none": 0.03167708558254714 |
|
}, |
|
"leaderboard_bbh_hyperbaton": { |
|
"alias": " - leaderboard_bbh_hyperbaton", |
|
"acc_norm,none": 0.72, |
|
"acc_norm_stderr,none": 0.02845414827783231 |
|
}, |
|
"leaderboard_bbh_logical_deduction_five_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_five_objects", |
|
"acc_norm,none": 0.612, |
|
"acc_norm_stderr,none": 0.030881038748993974 |
|
}, |
|
"leaderboard_bbh_logical_deduction_seven_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
|
"acc_norm,none": 0.62, |
|
"acc_norm_stderr,none": 0.030760116042626098 |
|
}, |
|
"leaderboard_bbh_logical_deduction_three_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_three_objects", |
|
"acc_norm,none": 0.912, |
|
"acc_norm_stderr,none": 0.017953084777052892 |
|
}, |
|
"leaderboard_bbh_movie_recommendation": { |
|
"alias": " - leaderboard_bbh_movie_recommendation", |
|
"acc_norm,none": 0.74, |
|
"acc_norm_stderr,none": 0.027797315752644335 |
|
}, |
|
"leaderboard_bbh_navigate": { |
|
"alias": " - leaderboard_bbh_navigate", |
|
"acc_norm,none": 0.732, |
|
"acc_norm_stderr,none": 0.02806876238252672 |
|
}, |
|
"leaderboard_bbh_object_counting": { |
|
"alias": " - leaderboard_bbh_object_counting", |
|
"acc_norm,none": 0.512, |
|
"acc_norm_stderr,none": 0.03167708558254714 |
|
}, |
|
"leaderboard_bbh_penguins_in_a_table": { |
|
"alias": " - leaderboard_bbh_penguins_in_a_table", |
|
"acc_norm,none": 0.684931506849315, |
|
"acc_norm_stderr,none": 0.03857820876541411 |
|
}, |
|
"leaderboard_bbh_reasoning_about_colored_objects": { |
|
"alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
|
"acc_norm,none": 0.832, |
|
"acc_norm_stderr,none": 0.023692813205492536 |
|
}, |
|
"leaderboard_bbh_ruin_names": { |
|
"alias": " - leaderboard_bbh_ruin_names", |
|
"acc_norm,none": 0.824, |
|
"acc_norm_stderr,none": 0.024133497525457123 |
|
}, |
|
"leaderboard_bbh_salient_translation_error_detection": { |
|
"alias": " - leaderboard_bbh_salient_translation_error_detection", |
|
"acc_norm,none": 0.628, |
|
"acc_norm_stderr,none": 0.03063032594455827 |
|
}, |
|
"leaderboard_bbh_snarks": { |
|
"alias": " - leaderboard_bbh_snarks", |
|
"acc_norm,none": 0.7865168539325843, |
|
"acc_norm_stderr,none": 0.030799891078809365 |
|
}, |
|
"leaderboard_bbh_sports_understanding": { |
|
"alias": " - leaderboard_bbh_sports_understanding", |
|
"acc_norm,none": 0.776, |
|
"acc_norm_stderr,none": 0.026421361687347884 |
|
}, |
|
"leaderboard_bbh_temporal_sequences": { |
|
"alias": " - leaderboard_bbh_temporal_sequences", |
|
"acc_norm,none": 0.912, |
|
"acc_norm_stderr,none": 0.017953084777052892 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
|
"acc_norm,none": 0.248, |
|
"acc_norm_stderr,none": 0.027367497504863593 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
|
"acc_norm,none": 0.24, |
|
"acc_norm_stderr,none": 0.027065293652238982 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
|
"acc_norm,none": 0.348, |
|
"acc_norm_stderr,none": 0.030186568464511673 |
|
}, |
|
"leaderboard_bbh_web_of_lies": { |
|
"alias": " - leaderboard_bbh_web_of_lies", |
|
"acc_norm,none": 0.584, |
|
"acc_norm_stderr,none": 0.031235856237014505 |
|
}, |
|
"leaderboard_gpqa": { |
|
"acc_norm,none": 0.39177852348993286, |
|
"acc_norm_stderr,none": 0.014155979293903224, |
|
"alias": " - leaderboard_gpqa" |
|
}, |
|
"leaderboard_gpqa_diamond": { |
|
"alias": " - leaderboard_gpqa_diamond", |
|
"acc_norm,none": 0.398989898989899, |
|
"acc_norm_stderr,none": 0.03488901616852734 |
|
}, |
|
"leaderboard_gpqa_extended": { |
|
"alias": " - leaderboard_gpqa_extended", |
|
"acc_norm,none": 0.39377289377289376, |
|
"acc_norm_stderr,none": 0.02092870387035164 |
|
}, |
|
"leaderboard_gpqa_main": { |
|
"alias": " - leaderboard_gpqa_main", |
|
"acc_norm,none": 0.3861607142857143, |
|
"acc_norm_stderr,none": 0.02302807434668535 |
|
}, |
|
"leaderboard_ifeval": { |
|
"alias": " - leaderboard_ifeval", |
|
"prompt_level_strict_acc,none": 0.5841035120147874, |
|
"prompt_level_strict_acc_stderr,none": 0.02120999935681886, |
|
"inst_level_strict_acc,none": 0.6966426858513189, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.6839186691312384, |
|
"prompt_level_loose_acc_stderr,none": 0.020008050377239083, |
|
"inst_level_loose_acc,none": 0.7733812949640287, |
|
"inst_level_loose_acc_stderr,none": "N/A" |
|
}, |
|
"leaderboard_math_hard": { |
|
"exact_match,none": 0.4206948640483384, |
|
"exact_match_stderr,none": 0.01244333832621114, |
|
"alias": " - leaderboard_math_hard" |
|
}, |
|
"leaderboard_math_algebra_hard": { |
|
"alias": " - leaderboard_math_algebra_hard", |
|
"exact_match,none": 0.6710097719869706, |
|
"exact_match_stderr,none": 0.026859332057560827 |
|
}, |
|
"leaderboard_math_counting_and_prob_hard": { |
|
"alias": " - leaderboard_math_counting_and_prob_hard", |
|
"exact_match,none": 0.3902439024390244, |
|
"exact_match_stderr,none": 0.04416377855732611 |
|
}, |
|
"leaderboard_math_geometry_hard": { |
|
"alias": " - leaderboard_math_geometry_hard", |
|
"exact_match,none": 0.25, |
|
"exact_match_stderr,none": 0.037832495422898876 |
|
}, |
|
"leaderboard_math_intermediate_algebra_hard": { |
|
"alias": " - leaderboard_math_intermediate_algebra_hard", |
|
"exact_match,none": 0.175, |
|
"exact_match_stderr,none": 0.02274803548176347 |
|
}, |
|
"leaderboard_math_num_theory_hard": { |
|
"alias": " - leaderboard_math_num_theory_hard", |
|
"exact_match,none": 0.461038961038961, |
|
"exact_match_stderr,none": 0.04029969732148262 |
|
}, |
|
"leaderboard_math_prealgebra_hard": { |
|
"alias": " - leaderboard_math_prealgebra_hard", |
|
"exact_match,none": 0.616580310880829, |
|
"exact_match_stderr,none": 0.03508984236295346 |
|
}, |
|
"leaderboard_math_precalculus_hard": { |
|
"alias": " - leaderboard_math_precalculus_hard", |
|
"exact_match,none": 0.22962962962962963, |
|
"exact_match_stderr,none": 0.03633384414073468 |
|
}, |
|
"leaderboard_mmlu_pro": { |
|
"alias": " - leaderboard_mmlu_pro", |
|
"acc,none": 0.542220744680851, |
|
"acc_stderr,none": 0.004542189566084042 |
|
}, |
|
"leaderboard_musr": { |
|
"acc_norm,none": 0.4894179894179894, |
|
"acc_norm_stderr,none": 0.01807860943015716, |
|
"alias": " - leaderboard_musr" |
|
}, |
|
"leaderboard_musr_murder_mysteries": { |
|
"alias": " - leaderboard_musr_murder_mysteries", |
|
"acc_norm,none": 0.568, |
|
"acc_norm_stderr,none": 0.03139181076542941 |
|
}, |
|
"leaderboard_musr_object_placements": { |
|
"alias": " - leaderboard_musr_object_placements", |
|
"acc_norm,none": 0.41796875, |
|
"acc_norm_stderr,none": 0.030886945908310395 |
|
}, |
|
"leaderboard_musr_team_allocation": { |
|
"alias": " - leaderboard_musr_team_allocation", |
|
"acc_norm,none": 0.484, |
|
"acc_norm_stderr,none": 0.03166998503010743 |
|
} |
|
}, |
|
"leaderboard": { |
|
"prompt_level_strict_acc,none": 0.5841035120147874, |
|
"prompt_level_strict_acc_stderr,none": 0.02120999935681886, |
|
"exact_match,none": 0.4206948640483384, |
|
"exact_match_stderr,none": 0.01244333832621114, |
|
"inst_level_loose_acc,none": 0.7733812949640287, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"acc_norm,none": 0.5963159942923856, |
|
"acc_norm_stderr,none": 0.005168963549033638, |
|
"acc,none": 0.542220744680851, |
|
"acc_stderr,none": 0.004542189566084042, |
|
"inst_level_strict_acc,none": 0.6966426858513189, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.6839186691312384, |
|
"prompt_level_loose_acc_stderr,none": 0.020008050377239083, |
|
"alias": "leaderboard" |
|
}, |
|
"leaderboard_bbh": { |
|
"acc_norm,none": 0.65266446797431, |
|
"acc_norm_stderr,none": 0.00579933832278404, |
|
"alias": " - leaderboard_bbh" |
|
}, |
|
"leaderboard_bbh_boolean_expressions": { |
|
"alias": " - leaderboard_bbh_boolean_expressions", |
|
"acc_norm,none": 0.872, |
|
"acc_norm_stderr,none": 0.021172081336336534 |
|
}, |
|
"leaderboard_bbh_causal_judgement": { |
|
"alias": " - leaderboard_bbh_causal_judgement", |
|
"acc_norm,none": 0.6096256684491979, |
|
"acc_norm_stderr,none": 0.03576973947986408 |
|
}, |
|
"leaderboard_bbh_date_understanding": { |
|
"alias": " - leaderboard_bbh_date_understanding", |
|
"acc_norm,none": 0.676, |
|
"acc_norm_stderr,none": 0.029658294924545567 |
|
}, |
|
"leaderboard_bbh_disambiguation_qa": { |
|
"alias": " - leaderboard_bbh_disambiguation_qa", |
|
"acc_norm,none": 0.644, |
|
"acc_norm_stderr,none": 0.0303436806571532 |
|
}, |
|
"leaderboard_bbh_formal_fallacies": { |
|
"alias": " - leaderboard_bbh_formal_fallacies", |
|
"acc_norm,none": 0.704, |
|
"acc_norm_stderr,none": 0.028928939388379697 |
|
}, |
|
"leaderboard_bbh_geometric_shapes": { |
|
"alias": " - leaderboard_bbh_geometric_shapes", |
|
"acc_norm,none": 0.488, |
|
"acc_norm_stderr,none": 0.03167708558254714 |
|
}, |
|
"leaderboard_bbh_hyperbaton": { |
|
"alias": " - leaderboard_bbh_hyperbaton", |
|
"acc_norm,none": 0.72, |
|
"acc_norm_stderr,none": 0.02845414827783231 |
|
}, |
|
"leaderboard_bbh_logical_deduction_five_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_five_objects", |
|
"acc_norm,none": 0.612, |
|
"acc_norm_stderr,none": 0.030881038748993974 |
|
}, |
|
"leaderboard_bbh_logical_deduction_seven_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
|
"acc_norm,none": 0.62, |
|
"acc_norm_stderr,none": 0.030760116042626098 |
|
}, |
|
"leaderboard_bbh_logical_deduction_three_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_three_objects", |
|
"acc_norm,none": 0.912, |
|
"acc_norm_stderr,none": 0.017953084777052892 |
|
}, |
|
"leaderboard_bbh_movie_recommendation": { |
|
"alias": " - leaderboard_bbh_movie_recommendation", |
|
"acc_norm,none": 0.74, |
|
"acc_norm_stderr,none": 0.027797315752644335 |
|
}, |
|
"leaderboard_bbh_navigate": { |
|
"alias": " - leaderboard_bbh_navigate", |
|
"acc_norm,none": 0.732, |
|
"acc_norm_stderr,none": 0.02806876238252672 |
|
}, |
|
"leaderboard_bbh_object_counting": { |
|
"alias": " - leaderboard_bbh_object_counting", |
|
"acc_norm,none": 0.512, |
|
"acc_norm_stderr,none": 0.03167708558254714 |
|
}, |
|
"leaderboard_bbh_penguins_in_a_table": { |
|
"alias": " - leaderboard_bbh_penguins_in_a_table", |
|
"acc_norm,none": 0.684931506849315, |
|
"acc_norm_stderr,none": 0.03857820876541411 |
|
}, |
|
"leaderboard_bbh_reasoning_about_colored_objects": { |
|
"alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
|
"acc_norm,none": 0.832, |
|
"acc_norm_stderr,none": 0.023692813205492536 |
|
}, |
|
"leaderboard_bbh_ruin_names": { |
|
"alias": " - leaderboard_bbh_ruin_names", |
|
"acc_norm,none": 0.824, |
|
"acc_norm_stderr,none": 0.024133497525457123 |
|
}, |
|
"leaderboard_bbh_salient_translation_error_detection": { |
|
"alias": " - leaderboard_bbh_salient_translation_error_detection", |
|
"acc_norm,none": 0.628, |
|
"acc_norm_stderr,none": 0.03063032594455827 |
|
}, |
|
"leaderboard_bbh_snarks": { |
|
"alias": " - leaderboard_bbh_snarks", |
|
"acc_norm,none": 0.7865168539325843, |
|
"acc_norm_stderr,none": 0.030799891078809365 |
|
}, |
|
"leaderboard_bbh_sports_understanding": { |
|
"alias": " - leaderboard_bbh_sports_understanding", |
|
"acc_norm,none": 0.776, |
|
"acc_norm_stderr,none": 0.026421361687347884 |
|
}, |
|
"leaderboard_bbh_temporal_sequences": { |
|
"alias": " - leaderboard_bbh_temporal_sequences", |
|
"acc_norm,none": 0.912, |
|
"acc_norm_stderr,none": 0.017953084777052892 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
|
"acc_norm,none": 0.248, |
|
"acc_norm_stderr,none": 0.027367497504863593 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
|
"acc_norm,none": 0.24, |
|
"acc_norm_stderr,none": 0.027065293652238982 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
|
"acc_norm,none": 0.348, |
|
"acc_norm_stderr,none": 0.030186568464511673 |
|
}, |
|
"leaderboard_bbh_web_of_lies": { |
|
"alias": " - leaderboard_bbh_web_of_lies", |
|
"acc_norm,none": 0.584, |
|
"acc_norm_stderr,none": 0.031235856237014505 |
|
}, |
|
"leaderboard_gpqa": { |
|
"acc_norm,none": 0.39177852348993286, |
|
"acc_norm_stderr,none": 0.014155979293903224, |
|
"alias": " - leaderboard_gpqa" |
|
}, |
|
"leaderboard_gpqa_diamond": { |
|
"alias": " - leaderboard_gpqa_diamond", |
|
"acc_norm,none": 0.398989898989899, |
|
"acc_norm_stderr,none": 0.03488901616852734 |
|
}, |
|
"leaderboard_gpqa_extended": { |
|
"alias": " - leaderboard_gpqa_extended", |
|
"acc_norm,none": 0.39377289377289376, |
|
"acc_norm_stderr,none": 0.02092870387035164 |
|
}, |
|
"leaderboard_gpqa_main": { |
|
"alias": " - leaderboard_gpqa_main", |
|
"acc_norm,none": 0.3861607142857143, |
|
"acc_norm_stderr,none": 0.02302807434668535 |
|
}, |
|
"leaderboard_ifeval": { |
|
"alias": " - leaderboard_ifeval", |
|
"prompt_level_strict_acc,none": 0.5841035120147874, |
|
"prompt_level_strict_acc_stderr,none": 0.02120999935681886, |
|
"inst_level_strict_acc,none": 0.6966426858513189, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.6839186691312384, |
|
"prompt_level_loose_acc_stderr,none": 0.020008050377239083, |
|
"inst_level_loose_acc,none": 0.7733812949640287, |
|
"inst_level_loose_acc_stderr,none": "N/A" |
|
}, |
|
"leaderboard_math_hard": { |
|
"exact_match,none": 0.4206948640483384, |
|
"exact_match_stderr,none": 0.01244333832621114, |
|
"alias": " - leaderboard_math_hard" |
|
}, |
|
"leaderboard_math_algebra_hard": { |
|
"alias": " - leaderboard_math_algebra_hard", |
|
"exact_match,none": 0.6710097719869706, |
|
"exact_match_stderr,none": 0.026859332057560827 |
|
}, |
|
"leaderboard_math_counting_and_prob_hard": { |
|
"alias": " - leaderboard_math_counting_and_prob_hard", |
|
"exact_match,none": 0.3902439024390244, |
|
"exact_match_stderr,none": 0.04416377855732611 |
|
}, |
|
"leaderboard_math_geometry_hard": { |
|
"alias": " - leaderboard_math_geometry_hard", |
|
"exact_match,none": 0.25, |
|
"exact_match_stderr,none": 0.037832495422898876 |
|
}, |
|
"leaderboard_math_intermediate_algebra_hard": { |
|
"alias": " - leaderboard_math_intermediate_algebra_hard", |
|
"exact_match,none": 0.175, |
|
"exact_match_stderr,none": 0.02274803548176347 |
|
}, |
|
"leaderboard_math_num_theory_hard": { |
|
"alias": " - leaderboard_math_num_theory_hard", |
|
"exact_match,none": 0.461038961038961, |
|
"exact_match_stderr,none": 0.04029969732148262 |
|
}, |
|
"leaderboard_math_prealgebra_hard": { |
|
"alias": " - leaderboard_math_prealgebra_hard", |
|
"exact_match,none": 0.616580310880829, |
|
"exact_match_stderr,none": 0.03508984236295346 |
|
}, |
|
"leaderboard_math_precalculus_hard": { |
|
"alias": " - leaderboard_math_precalculus_hard", |
|
"exact_match,none": 0.22962962962962963, |
|
"exact_match_stderr,none": 0.03633384414073468 |
|
}, |
|
"leaderboard_mmlu_pro": { |
|
"alias": " - leaderboard_mmlu_pro", |
|
"acc,none": 0.542220744680851, |
|
"acc_stderr,none": 0.004542189566084042 |
|
}, |
|
"leaderboard_musr": { |
|
"acc_norm,none": 0.4894179894179894, |
|
"acc_norm_stderr,none": 0.01807860943015716, |
|
"alias": " - leaderboard_musr" |
|
}, |
|
"leaderboard_musr_murder_mysteries": { |
|
"alias": " - leaderboard_musr_murder_mysteries", |
|
"acc_norm,none": 0.568, |
|
"acc_norm_stderr,none": 0.03139181076542941 |
|
}, |
|
"leaderboard_musr_object_placements": { |
|
"alias": " - leaderboard_musr_object_placements", |
|
"acc_norm,none": 0.41796875, |
|
"acc_norm_stderr,none": 0.030886945908310395 |
|
}, |
|
"leaderboard_musr_team_allocation": { |
|
"alias": " - leaderboard_musr_team_allocation", |
|
"acc_norm,none": 0.484, |
|
"acc_norm_stderr,none": 0.03166998503010743 |
|
} |
|
} |
|
``` |
|
|
|
## 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] |