|
--- |
|
pretty_name: Evaluation run of VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct |
|
dataset_summary: "Dataset automatically created during the evaluation run of model\ |
|
\ [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct)\n\ |
|
The dataset is composed of 38 configuration(s), each one corresponding to one of\ |
|
\ the evaluated task.\n\nThe dataset has been created from 2 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/VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct-details\"\ |
|
,\n\tname=\"VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_boolean_expressions\"\ |
|
,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ |
|
\ from run 2024-07-31T15-15-04.784035](https://huggingface.co/datasets/open-llm-leaderboard/VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct-details/blob/main/VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct/results_2024-07-31T15-15-04.784035.json)\ |
|
\ (note that there might be results for other tasks in the repos if successive evals\ |
|
\ didn't cover the same tasks. You find each in the results and the \"latest\" split\ |
|
\ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ |
|
\ \"acc,none\": 0.3890458776595745,\n \"acc_stderr,none\"\ |
|
: 0.0044448165926243505,\n \"prompt_level_loose_acc,none\": 0.7948243992606284,\n\ |
|
\ \"prompt_level_loose_acc_stderr,none\": 0.017378071196759656,\n \ |
|
\ \"prompt_level_strict_acc,none\": 0.7689463955637708,\n \"\ |
|
prompt_level_strict_acc_stderr,none\": 0.018138757170523427,\n \"inst_level_strict_acc,none\"\ |
|
: 0.8345323741007195,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ |
|
,\n \"acc_norm,none\": 0.4651705798417434,\n \"acc_norm_stderr,none\"\ |
|
: 0.005325891045681682,\n \"inst_level_loose_acc,none\": 0.8561151079136691,\n\ |
|
\ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"exact_match,none\"\ |
|
: 0.11178247734138973,\n \"exact_match_stderr,none\": 0.008195208990825835,\n\ |
|
\ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ |
|
: {\n \"acc_norm,none\": 0.5080715153619163,\n \"acc_norm_stderr,none\"\ |
|
: 0.006183056709230478,\n \"alias\": \" - leaderboard_bbh\"\n \ |
|
\ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\"\ |
|
: 0.864,\n \"acc_norm_stderr,none\": 0.021723342617052062,\n \ |
|
\ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \ |
|
\ \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.6042780748663101,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03585560071592546,\n \"alias\"\ |
|
: \" - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ |
|
: {\n \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\"\ |
|
: 0.03151438761115355,\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ |
|
\n },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\"\ |
|
: 0.456,\n \"acc_norm_stderr,none\": 0.03156328506121339,\n \ |
|
\ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"\ |
|
leaderboard_bbh_formal_fallacies\": {\n \"acc_norm,none\": 0.572,\n \ |
|
\ \"acc_norm_stderr,none\": 0.031355968923772605,\n \"alias\"\ |
|
: \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
|
: {\n \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\"\ |
|
: 0.03041876402517498,\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
|
\n },\n \"leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\"\ |
|
: 0.7,\n \"acc_norm_stderr,none\": 0.029040893477575852,\n \ |
|
\ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
|
: {\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\"\ |
|
: 0.030020073605457904,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
|
\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.228,\n \"acc_norm_stderr,none\": 0.026587432487268484,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ |
|
\ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.548,\n \"acc_norm_stderr,none\": 0.03153986449255663,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ |
|
\ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
|
acc_norm,none\": 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968782,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ |
|
\ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.636,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03049155522040556,\n \"alias\"\ |
|
: \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
|
: {\n \"acc_norm,none\": 0.296,\n \"acc_norm_stderr,none\"\ |
|
: 0.02892893938837962,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
|
\n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
|
acc_norm,none\": 0.5205479452054794,\n \"acc_norm_stderr,none\": 0.04148766180925171,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ |
|
\ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
|
acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359945,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ |
|
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ |
|
: 0.708,\n \"acc_norm_stderr,none\": 0.02881432040220566,\n \ |
|
\ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
|
: {\n \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\"\ |
|
: 0.031621252575725504,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ |
|
\n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ |
|
: 0.6910112359550562,\n \"acc_norm_stderr,none\": 0.03473179787796362,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
|
: {\n \"acc_norm,none\": 0.776,\n \"acc_norm_stderr,none\"\ |
|
: 0.026421361687347905,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ |
|
\n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ |
|
acc_norm,none\": 0.472,\n \"acc_norm_stderr,none\": 0.0316364895315444,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ |
|
\ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031346,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
|
\n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
: {\n \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\"\ |
|
: 0.025901884690541166,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
|
: {\n \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\"\ |
|
: 0.03041876402517499,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
|
\n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ |
|
: 0.528,\n \"acc_norm_stderr,none\": 0.0316364895315444,\n \ |
|
\ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ |
|
: {\n \"acc_norm,none\": 0.2902684563758389,\n \"acc_norm_stderr,none\"\ |
|
: 0.01315048517713729,\n \"alias\": \" - leaderboard_gpqa\"\n \ |
|
\ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.2474747474747475,\n\ |
|
\ \"acc_norm_stderr,none\": 0.030746300742124498,\n \"alias\"\ |
|
: \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ |
|
: {\n \"acc_norm,none\": 0.304029304029304,\n \"acc_norm_stderr,none\"\ |
|
: 0.019704024937907717,\n \"alias\": \" - leaderboard_gpqa_extended\"\ |
|
\n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ |
|
: 0.2924107142857143,\n \"acc_norm_stderr,none\": 0.021514611259928533,\n\ |
|
\ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ |
|
: {\n \"prompt_level_strict_acc,none\": 0.7689463955637708,\n \ |
|
\ \"prompt_level_strict_acc_stderr,none\": 0.018138757170523427,\n \ |
|
\ \"inst_level_strict_acc,none\": 0.8345323741007195,\n \"inst_level_strict_acc_stderr,none\"\ |
|
: \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7948243992606284,\n \ |
|
\ \"prompt_level_loose_acc_stderr,none\": 0.017378071196759656,\n \ |
|
\ \"inst_level_loose_acc,none\": 0.8561151079136691,\n \"inst_level_loose_acc_stderr,none\"\ |
|
: \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ |
|
\ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.11178247734138973,\n\ |
|
\ \"exact_match_stderr,none\": 0.008195208990825835,\n \"\ |
|
alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ |
|
: {\n \"exact_match,none\": 0.2247557003257329,\n \"exact_match_stderr,none\"\ |
|
: 0.02386238976746578,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ |
|
\n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ |
|
\ \"exact_match,none\": 0.07317073170731707,\n \"exact_match_stderr,none\"\ |
|
: 0.023577005978097653,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ |
|
\n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
|
: 0.045454545454545456,\n \"exact_match_stderr,none\": 0.018199158975632714,\n\ |
|
\ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ |
|
\ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ |
|
: 0.0035714285714285713,\n \"exact_match_stderr,none\": 0.0035714285714285665,\n\ |
|
\ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ |
|
\ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
|
: 0.045454545454545456,\n \"exact_match_stderr,none\": 0.016839967582612473,\n\ |
|
\ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ |
|
\ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ |
|
: 0.2694300518134715,\n \"exact_match_stderr,none\": 0.032018671228777947,\n\ |
|
\ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ |
|
\ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
|
: 0.02962962962962963,\n \"exact_match_stderr,none\": 0.014648038602753797,\n\ |
|
\ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ |
|
\ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.3890458776595745,\n\ |
|
\ \"acc_stderr,none\": 0.0044448165926243505,\n \"alias\"\ |
|
: \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ |
|
\ \"acc_norm,none\": 0.414021164021164,\n \"acc_norm_stderr,none\"\ |
|
: 0.017305019106035383,\n \"alias\": \" - leaderboard_musr\"\n \ |
|
\ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ |
|
: 0.6,\n \"acc_norm_stderr,none\": 0.03104602102825325,\n \ |
|
\ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ |
|
: {\n \"acc_norm,none\": 0.31640625,\n \"acc_norm_stderr,none\"\ |
|
: 0.02912403057115479,\n \"alias\": \" - leaderboard_musr_object_placements\"\ |
|
\n },\n \"leaderboard_musr_team_allocation\": {\n \"acc_norm,none\"\ |
|
: 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475373,\n \ |
|
\ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n },\n \ |
|
\ \"leaderboard\": {\n \"acc,none\": 0.3890458776595745,\n \"acc_stderr,none\"\ |
|
: 0.0044448165926243505,\n \"prompt_level_loose_acc,none\": 0.7948243992606284,\n\ |
|
\ \"prompt_level_loose_acc_stderr,none\": 0.017378071196759656,\n \ |
|
\ \"prompt_level_strict_acc,none\": 0.7689463955637708,\n \"prompt_level_strict_acc_stderr,none\"\ |
|
: 0.018138757170523427,\n \"inst_level_strict_acc,none\": 0.8345323741007195,\n\ |
|
\ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ |
|
: 0.4651705798417434,\n \"acc_norm_stderr,none\": 0.005325891045681682,\n\ |
|
\ \"inst_level_loose_acc,none\": 0.8561151079136691,\n \"inst_level_loose_acc_stderr,none\"\ |
|
: \"N/A\",\n \"exact_match,none\": 0.11178247734138973,\n \"exact_match_stderr,none\"\ |
|
: 0.008195208990825835,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ |
|
: {\n \"acc_norm,none\": 0.5080715153619163,\n \"acc_norm_stderr,none\"\ |
|
: 0.006183056709230478,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ |
|
\ \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\": 0.864,\n\ |
|
\ \"acc_norm_stderr,none\": 0.021723342617052062,\n \"alias\": \"\ |
|
\ - leaderboard_bbh_boolean_expressions\"\n },\n \"leaderboard_bbh_causal_judgement\"\ |
|
: {\n \"acc_norm,none\": 0.6042780748663101,\n \"acc_norm_stderr,none\"\ |
|
: 0.03585560071592546,\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ |
|
\n },\n \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ |
|
: 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115355,\n \"alias\"\ |
|
: \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
|
: {\n \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\": 0.03156328506121339,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
|
: {\n \"acc_norm,none\": 0.572,\n \"acc_norm_stderr,none\": 0.031355968923772605,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
|
: {\n \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\": 0.03041876402517498,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ |
|
: {\n \"acc_norm,none\": 0.7,\n \"acc_norm_stderr,none\": 0.029040893477575852,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
|
: {\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457904,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ |
|
\ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ |
|
: 0.228,\n \"acc_norm_stderr,none\": 0.026587432487268484,\n \"alias\"\ |
|
: \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ |
|
: {\n \"acc_norm,none\": 0.548,\n \"acc_norm_stderr,none\": 0.03153986449255663,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ |
|
\ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ |
|
: 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968782,\n \"alias\"\ |
|
: \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ |
|
: {\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.03049155522040556,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
|
: {\n \"acc_norm,none\": 0.296,\n \"acc_norm_stderr,none\": 0.02892893938837962,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ |
|
: {\n \"acc_norm,none\": 0.5205479452054794,\n \"acc_norm_stderr,none\"\ |
|
: 0.04148766180925171,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ |
|
\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
|
acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359945,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ |
|
\ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.708,\n\ |
|
\ \"acc_norm_stderr,none\": 0.02881432040220566,\n \"alias\": \" \ |
|
\ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
|
: {\n \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ |
|
\ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.6910112359550562,\n\ |
|
\ \"acc_norm_stderr,none\": 0.03473179787796362,\n \"alias\": \" \ |
|
\ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
|
: {\n \"acc_norm,none\": 0.776,\n \"acc_norm_stderr,none\": 0.026421361687347905,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ |
|
leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.472,\n \ |
|
\ \"acc_norm_stderr,none\": 0.0316364895315444,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ |
|
\n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031346,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
|
\n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.025901884690541166,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
|
\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
|
\ \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\": 0.03041876402517499,\n\ |
|
\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
|
\n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.528,\n\ |
|
\ \"acc_norm_stderr,none\": 0.0316364895315444,\n \"alias\": \" -\ |
|
\ leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \"\ |
|
acc_norm,none\": 0.2902684563758389,\n \"acc_norm_stderr,none\": 0.01315048517713729,\n\ |
|
\ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ |
|
: {\n \"acc_norm,none\": 0.2474747474747475,\n \"acc_norm_stderr,none\"\ |
|
: 0.030746300742124498,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ |
|
\ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.304029304029304,\n\ |
|
\ \"acc_norm_stderr,none\": 0.019704024937907717,\n \"alias\": \"\ |
|
\ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ |
|
\ \"acc_norm,none\": 0.2924107142857143,\n \"acc_norm_stderr,none\":\ |
|
\ 0.021514611259928533,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ |
|
\ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.7689463955637708,\n\ |
|
\ \"prompt_level_strict_acc_stderr,none\": 0.018138757170523427,\n \ |
|
\ \"inst_level_strict_acc,none\": 0.8345323741007195,\n \"inst_level_strict_acc_stderr,none\"\ |
|
: \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7948243992606284,\n \ |
|
\ \"prompt_level_loose_acc_stderr,none\": 0.017378071196759656,\n \"inst_level_loose_acc,none\"\ |
|
: 0.8561151079136691,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ |
|
\ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ |
|
: {\n \"exact_match,none\": 0.11178247734138973,\n \"exact_match_stderr,none\"\ |
|
: 0.008195208990825835,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ |
|
\ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.2247557003257329,\n\ |
|
\ \"exact_match_stderr,none\": 0.02386238976746578,\n \"alias\": \"\ |
|
\ - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ |
|
: {\n \"exact_match,none\": 0.07317073170731707,\n \"exact_match_stderr,none\"\ |
|
: 0.023577005978097653,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ |
|
\n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
|
: 0.045454545454545456,\n \"exact_match_stderr,none\": 0.018199158975632714,\n\ |
|
\ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
|
: {\n \"exact_match,none\": 0.0035714285714285713,\n \"exact_match_stderr,none\"\ |
|
: 0.0035714285714285665,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ |
|
\n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
|
: 0.045454545454545456,\n \"exact_match_stderr,none\": 0.016839967582612473,\n\ |
|
\ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ |
|
: {\n \"exact_match,none\": 0.2694300518134715,\n \"exact_match_stderr,none\"\ |
|
: 0.032018671228777947,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
|
\n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
|
: 0.02962962962962963,\n \"exact_match_stderr,none\": 0.014648038602753797,\n\ |
|
\ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ |
|
: {\n \"acc,none\": 0.3890458776595745,\n \"acc_stderr,none\": 0.0044448165926243505,\n\ |
|
\ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ |
|
: {\n \"acc_norm,none\": 0.414021164021164,\n \"acc_norm_stderr,none\"\ |
|
: 0.017305019106035383,\n \"alias\": \" - leaderboard_musr\"\n },\n \ |
|
\ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.6,\n \ |
|
\ \"acc_norm_stderr,none\": 0.03104602102825325,\n \"alias\": \" -\ |
|
\ leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ |
|
: {\n \"acc_norm,none\": 0.31640625,\n \"acc_norm_stderr,none\": 0.02912403057115479,\n\ |
|
\ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
|
: {\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475373,\n\ |
|
\ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" |
|
repo_url: https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct |
|
leaderboard_url: '' |
|
point_of_contact: '' |
|
configs: |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_boolean_expressions |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_boolean_expressions_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_boolean_expressions_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_causal_judgement |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_causal_judgement_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_causal_judgement_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_date_understanding |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_date_understanding_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_date_understanding_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_disambiguation_qa |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_formal_fallacies |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_formal_fallacies_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_formal_fallacies_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_geometric_shapes |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_geometric_shapes_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_geometric_shapes_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_hyperbaton |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_hyperbaton_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_hyperbaton_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_logical_deduction_five_objects |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_logical_deduction_seven_objects |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_logical_deduction_three_objects |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_movie_recommendation |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_movie_recommendation_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_movie_recommendation_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_navigate |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_navigate_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_navigate_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_object_counting |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_object_counting_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_object_counting_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_penguins_in_a_table |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_reasoning_about_colored_objects |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_ruin_names |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_ruin_names_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_ruin_names_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_salient_translation_error_detection |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_snarks |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_snarks_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_snarks_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_sports_understanding |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_sports_understanding_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_sports_understanding_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_temporal_sequences |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_temporal_sequences_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_temporal_sequences_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_tracking_shuffled_objects_five_objects |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_tracking_shuffled_objects_three_objects |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_web_of_lies |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_bbh_web_of_lies_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_web_of_lies_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_gpqa_diamond |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_gpqa_diamond_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_diamond_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_gpqa_extended |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_gpqa_extended_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_extended_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_gpqa_main |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_gpqa_main_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_main_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_ifeval |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_ifeval_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_ifeval_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_math_algebra_hard |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_math_algebra_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_algebra_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_math_counting_and_prob_hard |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_math_geometry_hard |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_math_geometry_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_geometry_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_math_intermediate_algebra_hard |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_math_num_theory_hard |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_math_num_theory_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_num_theory_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_math_prealgebra_hard |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_math_prealgebra_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_prealgebra_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_math_precalculus_hard |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_math_precalculus_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_precalculus_hard_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_mmlu_pro |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_mmlu_pro_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_mmlu_pro_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_musr_murder_mysteries |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_musr_murder_mysteries_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_murder_mysteries_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_musr_object_placements |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_musr_object_placements_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_object_placements_2024-07-31T15-15-04.784035.jsonl' |
|
- config_name: VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_musr_team_allocation |
|
data_files: |
|
- split: 2024_07_31T15_15_04.784035 |
|
path: |
|
- '**/samples_leaderboard_musr_team_allocation_2024-07-31T15-15-04.784035.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_team_allocation_2024-07-31T15-15-04.784035.jsonl' |
|
--- |
|
|
|
# Dataset Card for Evaluation run of VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct |
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
Dataset automatically created during the evaluation run of model [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct) |
|
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. |
|
|
|
The dataset has been created from 2 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/VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct-details", |
|
name="VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct__leaderboard_bbh_boolean_expressions", |
|
split="latest" |
|
) |
|
``` |
|
|
|
## Latest results |
|
|
|
These are the [latest results from run 2024-07-31T15-15-04.784035](https://huggingface.co/datasets/open-llm-leaderboard/VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct-details/blob/main/VAGOsolutions__Llama-3.1-SauerkrautLM-8b-Instruct/results_2024-07-31T15-15-04.784035.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): |
|
|
|
```python |
|
{ |
|
"all": { |
|
"leaderboard": { |
|
"acc,none": 0.3890458776595745, |
|
"acc_stderr,none": 0.0044448165926243505, |
|
"prompt_level_loose_acc,none": 0.7948243992606284, |
|
"prompt_level_loose_acc_stderr,none": 0.017378071196759656, |
|
"prompt_level_strict_acc,none": 0.7689463955637708, |
|
"prompt_level_strict_acc_stderr,none": 0.018138757170523427, |
|
"inst_level_strict_acc,none": 0.8345323741007195, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"acc_norm,none": 0.4651705798417434, |
|
"acc_norm_stderr,none": 0.005325891045681682, |
|
"inst_level_loose_acc,none": 0.8561151079136691, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"exact_match,none": 0.11178247734138973, |
|
"exact_match_stderr,none": 0.008195208990825835, |
|
"alias": "leaderboard" |
|
}, |
|
"leaderboard_bbh": { |
|
"acc_norm,none": 0.5080715153619163, |
|
"acc_norm_stderr,none": 0.006183056709230478, |
|
"alias": " - leaderboard_bbh" |
|
}, |
|
"leaderboard_bbh_boolean_expressions": { |
|
"acc_norm,none": 0.864, |
|
"acc_norm_stderr,none": 0.021723342617052062, |
|
"alias": " - leaderboard_bbh_boolean_expressions" |
|
}, |
|
"leaderboard_bbh_causal_judgement": { |
|
"acc_norm,none": 0.6042780748663101, |
|
"acc_norm_stderr,none": 0.03585560071592546, |
|
"alias": " - leaderboard_bbh_causal_judgement" |
|
}, |
|
"leaderboard_bbh_date_understanding": { |
|
"acc_norm,none": 0.448, |
|
"acc_norm_stderr,none": 0.03151438761115355, |
|
"alias": " - leaderboard_bbh_date_understanding" |
|
}, |
|
"leaderboard_bbh_disambiguation_qa": { |
|
"acc_norm,none": 0.456, |
|
"acc_norm_stderr,none": 0.03156328506121339, |
|
"alias": " - leaderboard_bbh_disambiguation_qa" |
|
}, |
|
"leaderboard_bbh_formal_fallacies": { |
|
"acc_norm,none": 0.572, |
|
"acc_norm_stderr,none": 0.031355968923772605, |
|
"alias": " - leaderboard_bbh_formal_fallacies" |
|
}, |
|
"leaderboard_bbh_geometric_shapes": { |
|
"acc_norm,none": 0.36, |
|
"acc_norm_stderr,none": 0.03041876402517498, |
|
"alias": " - leaderboard_bbh_geometric_shapes" |
|
}, |
|
"leaderboard_bbh_hyperbaton": { |
|
"acc_norm,none": 0.7, |
|
"acc_norm_stderr,none": 0.029040893477575852, |
|
"alias": " - leaderboard_bbh_hyperbaton" |
|
}, |
|
"leaderboard_bbh_logical_deduction_five_objects": { |
|
"acc_norm,none": 0.34, |
|
"acc_norm_stderr,none": 0.030020073605457904, |
|
"alias": " - leaderboard_bbh_logical_deduction_five_objects" |
|
}, |
|
"leaderboard_bbh_logical_deduction_seven_objects": { |
|
"acc_norm,none": 0.228, |
|
"acc_norm_stderr,none": 0.026587432487268484, |
|
"alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
|
}, |
|
"leaderboard_bbh_logical_deduction_three_objects": { |
|
"acc_norm,none": 0.548, |
|
"acc_norm_stderr,none": 0.03153986449255663, |
|
"alias": " - leaderboard_bbh_logical_deduction_three_objects" |
|
}, |
|
"leaderboard_bbh_movie_recommendation": { |
|
"acc_norm,none": 0.524, |
|
"acc_norm_stderr,none": 0.03164968895968782, |
|
"alias": " - leaderboard_bbh_movie_recommendation" |
|
}, |
|
"leaderboard_bbh_navigate": { |
|
"acc_norm,none": 0.636, |
|
"acc_norm_stderr,none": 0.03049155522040556, |
|
"alias": " - leaderboard_bbh_navigate" |
|
}, |
|
"leaderboard_bbh_object_counting": { |
|
"acc_norm,none": 0.296, |
|
"acc_norm_stderr,none": 0.02892893938837962, |
|
"alias": " - leaderboard_bbh_object_counting" |
|
}, |
|
"leaderboard_bbh_penguins_in_a_table": { |
|
"acc_norm,none": 0.5205479452054794, |
|
"acc_norm_stderr,none": 0.04148766180925171, |
|
"alias": " - leaderboard_bbh_penguins_in_a_table" |
|
}, |
|
"leaderboard_bbh_reasoning_about_colored_objects": { |
|
"acc_norm,none": 0.648, |
|
"acc_norm_stderr,none": 0.030266288057359945, |
|
"alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
|
}, |
|
"leaderboard_bbh_ruin_names": { |
|
"acc_norm,none": 0.708, |
|
"acc_norm_stderr,none": 0.02881432040220566, |
|
"alias": " - leaderboard_bbh_ruin_names" |
|
}, |
|
"leaderboard_bbh_salient_translation_error_detection": { |
|
"acc_norm,none": 0.532, |
|
"acc_norm_stderr,none": 0.031621252575725504, |
|
"alias": " - leaderboard_bbh_salient_translation_error_detection" |
|
}, |
|
"leaderboard_bbh_snarks": { |
|
"acc_norm,none": 0.6910112359550562, |
|
"acc_norm_stderr,none": 0.03473179787796362, |
|
"alias": " - leaderboard_bbh_snarks" |
|
}, |
|
"leaderboard_bbh_sports_understanding": { |
|
"acc_norm,none": 0.776, |
|
"acc_norm_stderr,none": 0.026421361687347905, |
|
"alias": " - leaderboard_bbh_sports_understanding" |
|
}, |
|
"leaderboard_bbh_temporal_sequences": { |
|
"acc_norm,none": 0.472, |
|
"acc_norm_stderr,none": 0.0316364895315444, |
|
"alias": " - leaderboard_bbh_temporal_sequences" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
|
"acc_norm,none": 0.252, |
|
"acc_norm_stderr,none": 0.027513851933031346, |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
|
"acc_norm,none": 0.212, |
|
"acc_norm_stderr,none": 0.025901884690541166, |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
|
"acc_norm,none": 0.36, |
|
"acc_norm_stderr,none": 0.03041876402517499, |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
|
}, |
|
"leaderboard_bbh_web_of_lies": { |
|
"acc_norm,none": 0.528, |
|
"acc_norm_stderr,none": 0.0316364895315444, |
|
"alias": " - leaderboard_bbh_web_of_lies" |
|
}, |
|
"leaderboard_gpqa": { |
|
"acc_norm,none": 0.2902684563758389, |
|
"acc_norm_stderr,none": 0.01315048517713729, |
|
"alias": " - leaderboard_gpqa" |
|
}, |
|
"leaderboard_gpqa_diamond": { |
|
"acc_norm,none": 0.2474747474747475, |
|
"acc_norm_stderr,none": 0.030746300742124498, |
|
"alias": " - leaderboard_gpqa_diamond" |
|
}, |
|
"leaderboard_gpqa_extended": { |
|
"acc_norm,none": 0.304029304029304, |
|
"acc_norm_stderr,none": 0.019704024937907717, |
|
"alias": " - leaderboard_gpqa_extended" |
|
}, |
|
"leaderboard_gpqa_main": { |
|
"acc_norm,none": 0.2924107142857143, |
|
"acc_norm_stderr,none": 0.021514611259928533, |
|
"alias": " - leaderboard_gpqa_main" |
|
}, |
|
"leaderboard_ifeval": { |
|
"prompt_level_strict_acc,none": 0.7689463955637708, |
|
"prompt_level_strict_acc_stderr,none": 0.018138757170523427, |
|
"inst_level_strict_acc,none": 0.8345323741007195, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.7948243992606284, |
|
"prompt_level_loose_acc_stderr,none": 0.017378071196759656, |
|
"inst_level_loose_acc,none": 0.8561151079136691, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"alias": " - leaderboard_ifeval" |
|
}, |
|
"leaderboard_math_hard": { |
|
"exact_match,none": 0.11178247734138973, |
|
"exact_match_stderr,none": 0.008195208990825835, |
|
"alias": " - leaderboard_math_hard" |
|
}, |
|
"leaderboard_math_algebra_hard": { |
|
"exact_match,none": 0.2247557003257329, |
|
"exact_match_stderr,none": 0.02386238976746578, |
|
"alias": " - leaderboard_math_algebra_hard" |
|
}, |
|
"leaderboard_math_counting_and_prob_hard": { |
|
"exact_match,none": 0.07317073170731707, |
|
"exact_match_stderr,none": 0.023577005978097653, |
|
"alias": " - leaderboard_math_counting_and_prob_hard" |
|
}, |
|
"leaderboard_math_geometry_hard": { |
|
"exact_match,none": 0.045454545454545456, |
|
"exact_match_stderr,none": 0.018199158975632714, |
|
"alias": " - leaderboard_math_geometry_hard" |
|
}, |
|
"leaderboard_math_intermediate_algebra_hard": { |
|
"exact_match,none": 0.0035714285714285713, |
|
"exact_match_stderr,none": 0.0035714285714285665, |
|
"alias": " - leaderboard_math_intermediate_algebra_hard" |
|
}, |
|
"leaderboard_math_num_theory_hard": { |
|
"exact_match,none": 0.045454545454545456, |
|
"exact_match_stderr,none": 0.016839967582612473, |
|
"alias": " - leaderboard_math_num_theory_hard" |
|
}, |
|
"leaderboard_math_prealgebra_hard": { |
|
"exact_match,none": 0.2694300518134715, |
|
"exact_match_stderr,none": 0.032018671228777947, |
|
"alias": " - leaderboard_math_prealgebra_hard" |
|
}, |
|
"leaderboard_math_precalculus_hard": { |
|
"exact_match,none": 0.02962962962962963, |
|
"exact_match_stderr,none": 0.014648038602753797, |
|
"alias": " - leaderboard_math_precalculus_hard" |
|
}, |
|
"leaderboard_mmlu_pro": { |
|
"acc,none": 0.3890458776595745, |
|
"acc_stderr,none": 0.0044448165926243505, |
|
"alias": " - leaderboard_mmlu_pro" |
|
}, |
|
"leaderboard_musr": { |
|
"acc_norm,none": 0.414021164021164, |
|
"acc_norm_stderr,none": 0.017305019106035383, |
|
"alias": " - leaderboard_musr" |
|
}, |
|
"leaderboard_musr_murder_mysteries": { |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.03104602102825325, |
|
"alias": " - leaderboard_musr_murder_mysteries" |
|
}, |
|
"leaderboard_musr_object_placements": { |
|
"acc_norm,none": 0.31640625, |
|
"acc_norm_stderr,none": 0.02912403057115479, |
|
"alias": " - leaderboard_musr_object_placements" |
|
}, |
|
"leaderboard_musr_team_allocation": { |
|
"acc_norm,none": 0.328, |
|
"acc_norm_stderr,none": 0.029752391824475373, |
|
"alias": " - leaderboard_musr_team_allocation" |
|
} |
|
}, |
|
"leaderboard": { |
|
"acc,none": 0.3890458776595745, |
|
"acc_stderr,none": 0.0044448165926243505, |
|
"prompt_level_loose_acc,none": 0.7948243992606284, |
|
"prompt_level_loose_acc_stderr,none": 0.017378071196759656, |
|
"prompt_level_strict_acc,none": 0.7689463955637708, |
|
"prompt_level_strict_acc_stderr,none": 0.018138757170523427, |
|
"inst_level_strict_acc,none": 0.8345323741007195, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"acc_norm,none": 0.4651705798417434, |
|
"acc_norm_stderr,none": 0.005325891045681682, |
|
"inst_level_loose_acc,none": 0.8561151079136691, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"exact_match,none": 0.11178247734138973, |
|
"exact_match_stderr,none": 0.008195208990825835, |
|
"alias": "leaderboard" |
|
}, |
|
"leaderboard_bbh": { |
|
"acc_norm,none": 0.5080715153619163, |
|
"acc_norm_stderr,none": 0.006183056709230478, |
|
"alias": " - leaderboard_bbh" |
|
}, |
|
"leaderboard_bbh_boolean_expressions": { |
|
"acc_norm,none": 0.864, |
|
"acc_norm_stderr,none": 0.021723342617052062, |
|
"alias": " - leaderboard_bbh_boolean_expressions" |
|
}, |
|
"leaderboard_bbh_causal_judgement": { |
|
"acc_norm,none": 0.6042780748663101, |
|
"acc_norm_stderr,none": 0.03585560071592546, |
|
"alias": " - leaderboard_bbh_causal_judgement" |
|
}, |
|
"leaderboard_bbh_date_understanding": { |
|
"acc_norm,none": 0.448, |
|
"acc_norm_stderr,none": 0.03151438761115355, |
|
"alias": " - leaderboard_bbh_date_understanding" |
|
}, |
|
"leaderboard_bbh_disambiguation_qa": { |
|
"acc_norm,none": 0.456, |
|
"acc_norm_stderr,none": 0.03156328506121339, |
|
"alias": " - leaderboard_bbh_disambiguation_qa" |
|
}, |
|
"leaderboard_bbh_formal_fallacies": { |
|
"acc_norm,none": 0.572, |
|
"acc_norm_stderr,none": 0.031355968923772605, |
|
"alias": " - leaderboard_bbh_formal_fallacies" |
|
}, |
|
"leaderboard_bbh_geometric_shapes": { |
|
"acc_norm,none": 0.36, |
|
"acc_norm_stderr,none": 0.03041876402517498, |
|
"alias": " - leaderboard_bbh_geometric_shapes" |
|
}, |
|
"leaderboard_bbh_hyperbaton": { |
|
"acc_norm,none": 0.7, |
|
"acc_norm_stderr,none": 0.029040893477575852, |
|
"alias": " - leaderboard_bbh_hyperbaton" |
|
}, |
|
"leaderboard_bbh_logical_deduction_five_objects": { |
|
"acc_norm,none": 0.34, |
|
"acc_norm_stderr,none": 0.030020073605457904, |
|
"alias": " - leaderboard_bbh_logical_deduction_five_objects" |
|
}, |
|
"leaderboard_bbh_logical_deduction_seven_objects": { |
|
"acc_norm,none": 0.228, |
|
"acc_norm_stderr,none": 0.026587432487268484, |
|
"alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
|
}, |
|
"leaderboard_bbh_logical_deduction_three_objects": { |
|
"acc_norm,none": 0.548, |
|
"acc_norm_stderr,none": 0.03153986449255663, |
|
"alias": " - leaderboard_bbh_logical_deduction_three_objects" |
|
}, |
|
"leaderboard_bbh_movie_recommendation": { |
|
"acc_norm,none": 0.524, |
|
"acc_norm_stderr,none": 0.03164968895968782, |
|
"alias": " - leaderboard_bbh_movie_recommendation" |
|
}, |
|
"leaderboard_bbh_navigate": { |
|
"acc_norm,none": 0.636, |
|
"acc_norm_stderr,none": 0.03049155522040556, |
|
"alias": " - leaderboard_bbh_navigate" |
|
}, |
|
"leaderboard_bbh_object_counting": { |
|
"acc_norm,none": 0.296, |
|
"acc_norm_stderr,none": 0.02892893938837962, |
|
"alias": " - leaderboard_bbh_object_counting" |
|
}, |
|
"leaderboard_bbh_penguins_in_a_table": { |
|
"acc_norm,none": 0.5205479452054794, |
|
"acc_norm_stderr,none": 0.04148766180925171, |
|
"alias": " - leaderboard_bbh_penguins_in_a_table" |
|
}, |
|
"leaderboard_bbh_reasoning_about_colored_objects": { |
|
"acc_norm,none": 0.648, |
|
"acc_norm_stderr,none": 0.030266288057359945, |
|
"alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
|
}, |
|
"leaderboard_bbh_ruin_names": { |
|
"acc_norm,none": 0.708, |
|
"acc_norm_stderr,none": 0.02881432040220566, |
|
"alias": " - leaderboard_bbh_ruin_names" |
|
}, |
|
"leaderboard_bbh_salient_translation_error_detection": { |
|
"acc_norm,none": 0.532, |
|
"acc_norm_stderr,none": 0.031621252575725504, |
|
"alias": " - leaderboard_bbh_salient_translation_error_detection" |
|
}, |
|
"leaderboard_bbh_snarks": { |
|
"acc_norm,none": 0.6910112359550562, |
|
"acc_norm_stderr,none": 0.03473179787796362, |
|
"alias": " - leaderboard_bbh_snarks" |
|
}, |
|
"leaderboard_bbh_sports_understanding": { |
|
"acc_norm,none": 0.776, |
|
"acc_norm_stderr,none": 0.026421361687347905, |
|
"alias": " - leaderboard_bbh_sports_understanding" |
|
}, |
|
"leaderboard_bbh_temporal_sequences": { |
|
"acc_norm,none": 0.472, |
|
"acc_norm_stderr,none": 0.0316364895315444, |
|
"alias": " - leaderboard_bbh_temporal_sequences" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
|
"acc_norm,none": 0.252, |
|
"acc_norm_stderr,none": 0.027513851933031346, |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
|
"acc_norm,none": 0.212, |
|
"acc_norm_stderr,none": 0.025901884690541166, |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
|
"acc_norm,none": 0.36, |
|
"acc_norm_stderr,none": 0.03041876402517499, |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
|
}, |
|
"leaderboard_bbh_web_of_lies": { |
|
"acc_norm,none": 0.528, |
|
"acc_norm_stderr,none": 0.0316364895315444, |
|
"alias": " - leaderboard_bbh_web_of_lies" |
|
}, |
|
"leaderboard_gpqa": { |
|
"acc_norm,none": 0.2902684563758389, |
|
"acc_norm_stderr,none": 0.01315048517713729, |
|
"alias": " - leaderboard_gpqa" |
|
}, |
|
"leaderboard_gpqa_diamond": { |
|
"acc_norm,none": 0.2474747474747475, |
|
"acc_norm_stderr,none": 0.030746300742124498, |
|
"alias": " - leaderboard_gpqa_diamond" |
|
}, |
|
"leaderboard_gpqa_extended": { |
|
"acc_norm,none": 0.304029304029304, |
|
"acc_norm_stderr,none": 0.019704024937907717, |
|
"alias": " - leaderboard_gpqa_extended" |
|
}, |
|
"leaderboard_gpqa_main": { |
|
"acc_norm,none": 0.2924107142857143, |
|
"acc_norm_stderr,none": 0.021514611259928533, |
|
"alias": " - leaderboard_gpqa_main" |
|
}, |
|
"leaderboard_ifeval": { |
|
"prompt_level_strict_acc,none": 0.7689463955637708, |
|
"prompt_level_strict_acc_stderr,none": 0.018138757170523427, |
|
"inst_level_strict_acc,none": 0.8345323741007195, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.7948243992606284, |
|
"prompt_level_loose_acc_stderr,none": 0.017378071196759656, |
|
"inst_level_loose_acc,none": 0.8561151079136691, |
|
"inst_level_loose_acc_stderr,none": "N/A", |
|
"alias": " - leaderboard_ifeval" |
|
}, |
|
"leaderboard_math_hard": { |
|
"exact_match,none": 0.11178247734138973, |
|
"exact_match_stderr,none": 0.008195208990825835, |
|
"alias": " - leaderboard_math_hard" |
|
}, |
|
"leaderboard_math_algebra_hard": { |
|
"exact_match,none": 0.2247557003257329, |
|
"exact_match_stderr,none": 0.02386238976746578, |
|
"alias": " - leaderboard_math_algebra_hard" |
|
}, |
|
"leaderboard_math_counting_and_prob_hard": { |
|
"exact_match,none": 0.07317073170731707, |
|
"exact_match_stderr,none": 0.023577005978097653, |
|
"alias": " - leaderboard_math_counting_and_prob_hard" |
|
}, |
|
"leaderboard_math_geometry_hard": { |
|
"exact_match,none": 0.045454545454545456, |
|
"exact_match_stderr,none": 0.018199158975632714, |
|
"alias": " - leaderboard_math_geometry_hard" |
|
}, |
|
"leaderboard_math_intermediate_algebra_hard": { |
|
"exact_match,none": 0.0035714285714285713, |
|
"exact_match_stderr,none": 0.0035714285714285665, |
|
"alias": " - leaderboard_math_intermediate_algebra_hard" |
|
}, |
|
"leaderboard_math_num_theory_hard": { |
|
"exact_match,none": 0.045454545454545456, |
|
"exact_match_stderr,none": 0.016839967582612473, |
|
"alias": " - leaderboard_math_num_theory_hard" |
|
}, |
|
"leaderboard_math_prealgebra_hard": { |
|
"exact_match,none": 0.2694300518134715, |
|
"exact_match_stderr,none": 0.032018671228777947, |
|
"alias": " - leaderboard_math_prealgebra_hard" |
|
}, |
|
"leaderboard_math_precalculus_hard": { |
|
"exact_match,none": 0.02962962962962963, |
|
"exact_match_stderr,none": 0.014648038602753797, |
|
"alias": " - leaderboard_math_precalculus_hard" |
|
}, |
|
"leaderboard_mmlu_pro": { |
|
"acc,none": 0.3890458776595745, |
|
"acc_stderr,none": 0.0044448165926243505, |
|
"alias": " - leaderboard_mmlu_pro" |
|
}, |
|
"leaderboard_musr": { |
|
"acc_norm,none": 0.414021164021164, |
|
"acc_norm_stderr,none": 0.017305019106035383, |
|
"alias": " - leaderboard_musr" |
|
}, |
|
"leaderboard_musr_murder_mysteries": { |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.03104602102825325, |
|
"alias": " - leaderboard_musr_murder_mysteries" |
|
}, |
|
"leaderboard_musr_object_placements": { |
|
"acc_norm,none": 0.31640625, |
|
"acc_norm_stderr,none": 0.02912403057115479, |
|
"alias": " - leaderboard_musr_object_placements" |
|
}, |
|
"leaderboard_musr_team_allocation": { |
|
"acc_norm,none": 0.328, |
|
"acc_norm_stderr,none": 0.029752391824475373, |
|
"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] |