librarian-bots/dataset_cards_with_metadata

datasetId stringlengths 5 121	author stringlengths 2 42	last_modified unknown	likes int64 0 6.62k	tags sequencelengths 1 7.92k	task_categories sequencelengths 0 47 ⌀	createdAt unknown	card stringlengths 15 1M
open-llm-leaderboard/sthenno-com__miscii-14b-1225-details	open-llm-leaderboard	"2024-12-25T20:25:10Z"	0	[ "region:us" ]	null	"2024-12-25T20:22:11Z"	--- pretty_name: Evaluation run of sthenno-com/miscii-14b-1225 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [sthenno-com/miscii-14b-1225](https://huggingface.co/sthenno-com/miscii-14b-1225)\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/sthenno-com__miscii-14b-1225-details\"\ ,\n\tname=\"sthenno-com__miscii-14b-1225__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T20-22-10.882149](https://huggingface.co/datasets/open-llm-leaderboard/sthenno-com__miscii-14b-1225-details/blob/main/sthenno-com__miscii-14b-1225/results_2024-12-25T20-22-10.882149.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_strict_acc,none\": 0.8177458033573142,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"inst_level_loose_acc,none\"\ : 0.8345323741007195,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"acc_norm,none\": 0.5912569723699572,\n \"acc_norm_stderr,none\"\ : 0.0051334531160445035,\n \"exact_match,none\": 0.3157099697885196,\n\ \ \"exact_match_stderr,none\": 0.01209173512474148,\n \"prompt_level_strict_acc,none\"\ : 0.7578558225508318,\n \"prompt_level_strict_acc_stderr,none\": 0.018434587800223168,\n\ \ \"prompt_level_loose_acc,none\": 0.7763401109057301,\n \"\ prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n \"acc,none\"\ : 0.5271775265957447,\n \"acc_stderr,none\": 0.004551731502026407,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6559625065092866,\n \"acc_norm_stderr,none\"\ : 0.005789509618590658,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.908,\n\ \ \"acc_norm_stderr,none\": 0.01831627537942964\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6256684491978609,\n \"acc_norm_stderr,none\"\ : 0.0354849234134303\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\": 0.664,\n\ \ \"acc_norm_stderr,none\": 0.029933259094191533\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\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.76,\n \ \ \"acc_norm_stderr,none\": 0.027065293652238982\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\":\ \ 0.03056207062099311\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\": 0.03041876402517494\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.92,\n \"acc_norm_stderr,none\": 0.017192507941463025\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.68,\n \"acc_norm_stderr,none\": 0.02956172495524098\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\": 0.48,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6575342465753424,\n \"acc_norm_stderr,none\": 0.03940794258783979\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.816,\n \"acc_norm_stderr,none\": 0.02455581299422255\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\"\ : 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7808988764044944,\n \"acc_norm_stderr,none\"\ : 0.031090883837921395\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.768,\n \"acc_norm_stderr,none\": 0.026750070374865202\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.892,\n\ \ \"acc_norm_stderr,none\": 0.019669559381568776\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982\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\": 0.356,\n \"acc_norm_stderr,none\":\ \ 0.0303436806571532\n },\n \"leaderboard_bbh_web_of_lies\": {\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.616,\n \"acc_norm_stderr,none\": 0.030821679117375447\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3775167785234899,\n\ \ \"acc_norm_stderr,none\": 0.014056847074819325,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.36363636363636365,\n \"acc_norm_stderr,none\": 0.03427308652999934\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.38461538461538464,\n\ \ \"acc_norm_stderr,none\": 0.02083955266087989\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.375,\n \"acc_norm_stderr,none\":\ \ 0.02289822829522849\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7578558225508318,\n \"prompt_level_strict_acc_stderr,none\": 0.018434587800223168,\n\ \ \"inst_level_strict_acc,none\": 0.8177458033573142,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7763401109057301,\n \"prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n\ \ \"inst_level_loose_acc,none\": 0.8345323741007195,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.3157099697885196,\n \"exact_match_stderr,none\"\ : 0.01209173512474148,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.5407166123778502,\n\ \ \"exact_match_stderr,none\": 0.028488167333608636\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.2845528455284553,\n \"exact_match_stderr,none\": 0.04084983733239221\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.22727272727272727,\n\ \ \"exact_match_stderr,none\": 0.036614333604107194\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.15,\n \"exact_match_stderr,none\": 0.021377306830183917\n \ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \"\ \ - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.2597402597402597,\n\ \ \"exact_match_stderr,none\": 0.03544997923156578\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.43523316062176165,\n \"exact_match_stderr,none\"\ : 0.03578038165008584\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.15555555555555556,\n \"exact_match_stderr,none\"\ : 0.03130948364878313\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.5271775265957447,\n\ \ \"acc_stderr,none\": 0.004551731502026407\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4351851851851852,\n \"acc_norm_stderr,none\"\ : 0.017388753053079846,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.588,\n\ \ \"acc_norm_stderr,none\": 0.031191596026022818\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.26171875,\n \"acc_norm_stderr,none\"\ : 0.027526959754524398\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ \ }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ : 0.8177458033573142,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ \ \"inst_level_loose_acc,none\": 0.8345323741007195,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"acc_norm,none\": 0.5912569723699572,\n \"acc_norm_stderr,none\"\ : 0.0051334531160445035,\n \"exact_match,none\": 0.3157099697885196,\n \ \ \"exact_match_stderr,none\": 0.01209173512474148,\n \"prompt_level_strict_acc,none\"\ : 0.7578558225508318,\n \"prompt_level_strict_acc_stderr,none\": 0.018434587800223168,\n\ \ \"prompt_level_loose_acc,none\": 0.7763401109057301,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.017931771054658346,\n \"acc,none\": 0.5271775265957447,\n \"acc_stderr,none\"\ : 0.004551731502026407,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6559625065092866,\n \"acc_norm_stderr,none\"\ : 0.005789509618590658,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ ,\n \"acc_norm,none\": 0.908,\n \"acc_norm_stderr,none\": 0.01831627537942964\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6256684491978609,\n \"acc_norm_stderr,none\"\ : 0.0354849234134303\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\": 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\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\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.632,\n \"acc_norm_stderr,none\": 0.03056207062099311\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\": 0.03041876402517494\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.92,\n \"acc_norm_stderr,none\": 0.017192507941463025\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.68,\n \"acc_norm_stderr,none\": 0.02956172495524098\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\": 0.48,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6575342465753424,\n\ \ \"acc_norm_stderr,none\": 0.03940794258783979\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.816,\n \"acc_norm_stderr,none\": 0.02455581299422255\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\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7808988764044944,\n \"acc_norm_stderr,none\"\ : 0.031090883837921395\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.768,\n \"acc_norm_stderr,none\": 0.026750070374865202\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.892,\n \"acc_norm_stderr,none\": 0.019669559381568776\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982\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\": 0.356,\n \"acc_norm_stderr,none\": 0.0303436806571532\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.616,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3775167785234899,\n\ \ \"acc_norm_stderr,none\": 0.014056847074819325,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.36363636363636365,\n\ \ \"acc_norm_stderr,none\": 0.03427308652999934\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.38461538461538464,\n \"acc_norm_stderr,none\": 0.02083955266087989\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.375,\n \"acc_norm_stderr,none\": 0.02289822829522849\n\ \ },\n \"leaderboard_ifeval\": {\n \"alias\": \" - leaderboard_ifeval\"\ ,\n \"prompt_level_strict_acc,none\": 0.7578558225508318,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.018434587800223168,\n \"inst_level_strict_acc,none\": 0.8177458033573142,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7763401109057301,\n \"prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n\ \ \"inst_level_loose_acc,none\": 0.8345323741007195,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\"\n },\n \"leaderboard_math_hard\": {\n \"exact_match,none\"\ : 0.3157099697885196,\n \"exact_match_stderr,none\": 0.01209173512474148,\n\ \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.5407166123778502,\n \"exact_match_stderr,none\": 0.028488167333608636\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.2845528455284553,\n \"exact_match_stderr,none\": 0.04084983733239221\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.22727272727272727,\n \"exact_match_stderr,none\"\ : 0.036614333604107194\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.15,\n \"exact_match_stderr,none\": 0.021377306830183917\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ ,\n \"exact_match,none\": 0.2597402597402597,\n \"exact_match_stderr,none\"\ : 0.03544997923156578\n },\n \"leaderboard_math_prealgebra_hard\": {\n \ \ \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \"exact_match,none\"\ : 0.43523316062176165,\n \"exact_match_stderr,none\": 0.03578038165008584\n\ \ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" -\ \ leaderboard_math_precalculus_hard\",\n \"exact_match,none\": 0.15555555555555556,\n\ \ \"exact_match_stderr,none\": 0.03130948364878313\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.5271775265957447,\n\ \ \"acc_stderr,none\": 0.004551731502026407\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4351851851851852,\n \"acc_norm_stderr,none\"\ : 0.017388753053079846,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ ,\n \"acc_norm,none\": 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n\ \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ \ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.26171875,\n\ \ \"acc_norm_stderr,none\": 0.027526959754524398\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ : 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n }\n}\n```" repo_url: https://huggingface.co/sthenno-com/miscii-14b-1225 leaderboard_url: '' point_of_contact: '' configs: - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_navigate data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_navigate_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_navigate_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_snarks data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_snarks_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_snarks_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_gpqa_extended data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_gpqa_extended_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_extended_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_gpqa_main data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_gpqa_main_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_main_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_ifeval data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_ifeval_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_ifeval_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_mmlu_pro data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_mmlu_pro_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_mmlu_pro_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_musr_object_placements data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_musr_object_placements_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_musr_object_placements_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T20_22_10.882149 path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T20-22-10.882149.jsonl' --- # Dataset Card for Evaluation run of sthenno-com/miscii-14b-1225 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [sthenno-com/miscii-14b-1225](https://huggingface.co/sthenno-com/miscii-14b-1225) 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/sthenno-com__miscii-14b-1225-details", name="sthenno-com__miscii-14b-1225__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T20-22-10.882149](https://huggingface.co/datasets/open-llm-leaderboard/sthenno-com__miscii-14b-1225-details/blob/main/sthenno-com__miscii-14b-1225/results_2024-12-25T20-22-10.882149.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.8345323741007195, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.5912569723699572, "acc_norm_stderr,none": 0.0051334531160445035, "exact_match,none": 0.3157099697885196, "exact_match_stderr,none": 0.01209173512474148, "prompt_level_strict_acc,none": 0.7578558225508318, "prompt_level_strict_acc_stderr,none": 0.018434587800223168, "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "acc,none": 0.5271775265957447, "acc_stderr,none": 0.004551731502026407, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6559625065092866, "acc_norm_stderr,none": 0.005789509618590658, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.908, "acc_norm_stderr,none": 0.01831627537942964 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6256684491978609, "acc_norm_stderr,none": 0.0354849234134303 }, "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": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "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": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.92, "acc_norm_stderr,none": 0.017192507941463025 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.68, "acc_norm_stderr,none": 0.02956172495524098 }, "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": 0.48, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6575342465753424, "acc_norm_stderr,none": 0.03940794258783979 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.816, "acc_norm_stderr,none": 0.02455581299422255 }, "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": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7808988764044944, "acc_norm_stderr,none": 0.031090883837921395 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.768, "acc_norm_stderr,none": 0.026750070374865202 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.892, "acc_norm_stderr,none": 0.019669559381568776 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.24, "acc_norm_stderr,none": 0.027065293652238982 }, "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": 0.356, "acc_norm_stderr,none": 0.0303436806571532 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_gpqa": { "acc_norm,none": 0.3775167785234899, "acc_norm_stderr,none": 0.014056847074819325, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.36363636363636365, "acc_norm_stderr,none": 0.03427308652999934 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.38461538461538464, "acc_norm_stderr,none": 0.02083955266087989 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.375, "acc_norm_stderr,none": 0.02289822829522849 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7578558225508318, "prompt_level_strict_acc_stderr,none": 0.018434587800223168, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "inst_level_loose_acc,none": 0.8345323741007195, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.3157099697885196, "exact_match_stderr,none": 0.01209173512474148, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.5407166123778502, "exact_match_stderr,none": 0.028488167333608636 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.2845528455284553, "exact_match_stderr,none": 0.04084983733239221 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.22727272727272727, "exact_match_stderr,none": 0.036614333604107194 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.15, "exact_match_stderr,none": 0.021377306830183917 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.2597402597402597, "exact_match_stderr,none": 0.03544997923156578 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.43523316062176165, "exact_match_stderr,none": 0.03578038165008584 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.15555555555555556, "exact_match_stderr,none": 0.03130948364878313 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.5271775265957447, "acc_stderr,none": 0.004551731502026407 }, "leaderboard_musr": { "acc_norm,none": 0.4351851851851852, "acc_norm_stderr,none": 0.017388753053079846, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.26171875, "acc_norm_stderr,none": 0.027526959754524398 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004 } }, "leaderboard": { "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.8345323741007195, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.5912569723699572, "acc_norm_stderr,none": 0.0051334531160445035, "exact_match,none": 0.3157099697885196, "exact_match_stderr,none": 0.01209173512474148, "prompt_level_strict_acc,none": 0.7578558225508318, "prompt_level_strict_acc_stderr,none": 0.018434587800223168, "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "acc,none": 0.5271775265957447, "acc_stderr,none": 0.004551731502026407, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6559625065092866, "acc_norm_stderr,none": 0.005789509618590658, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.908, "acc_norm_stderr,none": 0.01831627537942964 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6256684491978609, "acc_norm_stderr,none": 0.0354849234134303 }, "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": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "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": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.92, "acc_norm_stderr,none": 0.017192507941463025 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.68, "acc_norm_stderr,none": 0.02956172495524098 }, "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": 0.48, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6575342465753424, "acc_norm_stderr,none": 0.03940794258783979 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.816, "acc_norm_stderr,none": 0.02455581299422255 }, "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": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7808988764044944, "acc_norm_stderr,none": 0.031090883837921395 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.768, "acc_norm_stderr,none": 0.026750070374865202 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.892, "acc_norm_stderr,none": 0.019669559381568776 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.24, "acc_norm_stderr,none": 0.027065293652238982 }, "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": 0.356, "acc_norm_stderr,none": 0.0303436806571532 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_gpqa": { "acc_norm,none": 0.3775167785234899, "acc_norm_stderr,none": 0.014056847074819325, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.36363636363636365, "acc_norm_stderr,none": 0.03427308652999934 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.38461538461538464, "acc_norm_stderr,none": 0.02083955266087989 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.375, "acc_norm_stderr,none": 0.02289822829522849 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7578558225508318, "prompt_level_strict_acc_stderr,none": 0.018434587800223168, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "inst_level_loose_acc,none": 0.8345323741007195, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.3157099697885196, "exact_match_stderr,none": 0.01209173512474148, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.5407166123778502, "exact_match_stderr,none": 0.028488167333608636 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.2845528455284553, "exact_match_stderr,none": 0.04084983733239221 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.22727272727272727, "exact_match_stderr,none": 0.036614333604107194 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.15, "exact_match_stderr,none": 0.021377306830183917 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.2597402597402597, "exact_match_stderr,none": 0.03544997923156578 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.43523316062176165, "exact_match_stderr,none": 0.03578038165008584 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.15555555555555556, "exact_match_stderr,none": 0.03130948364878313 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.5271775265957447, "acc_stderr,none": 0.004551731502026407 }, "leaderboard_musr": { "acc_norm,none": 0.4351851851851852, "acc_norm_stderr,none": 0.017388753053079846, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.26171875, "acc_norm_stderr,none": 0.027526959754524398 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004 } } ``` ## 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. 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grudgie/amazon-reviews-subset	grudgie	"2024-12-25T20:33:37Z"	0	[ "region:us" ]	null	"2024-12-25T20:32:43Z"	--- dataset_info: features: - name: rating dtype: float64 - name: title dtype: string - name: text dtype: string - name: images list: - name: attachment_type dtype: string - name: large_image_url dtype: string - name: medium_image_url dtype: string - name: small_image_url dtype: string - name: asin dtype: string - name: parent_asin dtype: string - name: user_id dtype: string - name: timestamp dtype: int64 - name: helpful_vote dtype: int64 - name: verified_purchase dtype: bool splits: - name: full num_bytes: 80811509.53473501 num_examples: 256915 download_size: 52403165 dataset_size: 80811509.53473501 configs: - config_name: default data_files: - split: full path: data/full-* ---
open-llm-leaderboard/zelk12__MT1-Gen5-gemma-2-9B-details	open-llm-leaderboard	"2024-12-25T20:37:47Z"	0	[ "region:us" ]	null	"2024-12-25T20:34:22Z"	--- pretty_name: Evaluation run of zelk12/MT1-Gen5-gemma-2-9B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [zelk12/MT1-Gen5-gemma-2-9B](https://huggingface.co/zelk12/MT1-Gen5-gemma-2-9B)\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/zelk12__MT1-Gen5-gemma-2-9B-details\"\ ,\n\tname=\"zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions\",\n\ \tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T20-34-21.650551](https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT1-Gen5-gemma-2-9B-details/blob/main/zelk12__MT1-Gen5-gemma-2-9B/results_2024-12-25T20-34-21.650551.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_norm,none\": 0.5437799974056298,\n \"acc_norm_stderr,none\"\ : 0.00533024538506611,\n \"prompt_level_loose_acc,none\": 0.767097966728281,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n \ \ \"exact_match,none\": 0.0324773413897281,\n \"exact_match_stderr,none\"\ : 0.004793317189961975,\n \"inst_level_strict_acc,none\": 0.8177458033573142,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"inst_level_loose_acc,none\"\ : 0.8369304556354916,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"acc,none\": 0.42220744680851063,\n \"acc_stderr,none\"\ : 0.004502959606988701,\n \"prompt_level_strict_acc,none\": 0.7412199630314233,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018846992560712525,\n \ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\":\ \ {\n \"acc_norm,none\": 0.6011109182433605,\n \"acc_norm_stderr,none\"\ : 0.006120192093942356,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.844,\n\ \ \"acc_norm_stderr,none\": 0.022995023034068682\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6203208556149733,\n \"acc_norm_stderr,none\"\ : 0.03558443628801667\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.604,\n\ \ \"acc_norm_stderr,none\": 0.030993197854577898\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\":\ \ 0.030491555220405475\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.572,\n \"acc_norm_stderr,none\": 0.031355968923772626\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.696,\n \ \ \"acc_norm_stderr,none\": 0.029150213374159652\n },\n \"\ leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\": \" \ \ - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n },\n\ \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.824,\n \"acc_norm_stderr,none\": 0.024133497525457123\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\":\ \ 0.029933259094191533\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6027397260273972,\n \"acc_norm_stderr,none\": 0.040636704038880346\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.716,\n \"acc_norm_stderr,none\": 0.028576958730437443\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.796,\n \ \ \"acc_norm_stderr,none\": 0.025537121574548162\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6348314606741573,\n \"acc_norm_stderr,none\"\ : 0.03619005678691264\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.772,\n\ \ \"acc_norm_stderr,none\": 0.026587432487268498\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.02915021337415965\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.312,\n \"acc_norm_stderr,none\":\ \ 0.02936106757521985\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.516,\n\ \ \"acc_norm_stderr,none\": 0.03166998503010743\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3464765100671141,\n\ \ \"acc_norm_stderr,none\": 0.013799354494924254,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.35353535353535354,\n \"acc_norm_stderr,none\": 0.03406086723547151\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.34798534798534797,\n\ \ \"acc_norm_stderr,none\": 0.02040379284640522\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.34151785714285715,\n \"acc_norm_stderr,none\"\ : 0.022429776589214533\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7412199630314233,\n \"prompt_level_strict_acc_stderr,none\": 0.018846992560712525,\n\ \ \"inst_level_strict_acc,none\": 0.8177458033573142,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.767097966728281,\n \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n\ \ \"inst_level_loose_acc,none\": 0.8369304556354916,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.0324773413897281,\n \"exact_match_stderr,none\"\ : 0.004793317189961975,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.06514657980456026,\n\ \ \"exact_match_stderr,none\": 0.014107720843558174\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.016260162601626018,\n \"exact_match_stderr,none\": 0.011450452676925654\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.0,\n\ \ \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n\ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.025974025974025976,\n \"exact_match_stderr,none\": 0.012859058999697068\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_prealgebra_hard\",\n \"exact_match,none\": 0.08808290155440414,\n\ \ \"exact_match_stderr,none\": 0.020453746601601056\n },\n \ \ \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" - leaderboard_math_precalculus_hard\"\ ,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0\n },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \"\ \ - leaderboard_mmlu_pro\",\n \"acc,none\": 0.42220744680851063,\n \ \ \"acc_stderr,none\": 0.004502959606988701\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.41798941798941797,\n \"acc_norm_stderr,none\"\ : 0.01748438652663388,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.552,\n\ \ \"acc_norm_stderr,none\": 0.03151438761115348\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.2734375,\n \"acc_norm_stderr,none\"\ : 0.027912287939448926\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.432,\n \"acc_norm_stderr,none\": 0.03139181076542942\n\ \ }\n },\n \"leaderboard\": {\n \"acc_norm,none\": 0.5437799974056298,\n\ \ \"acc_norm_stderr,none\": 0.00533024538506611,\n \"prompt_level_loose_acc,none\"\ : 0.767097966728281,\n \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n\ \ \"exact_match,none\": 0.0324773413897281,\n \"exact_match_stderr,none\"\ : 0.004793317189961975,\n \"inst_level_strict_acc,none\": 0.8177458033573142,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"inst_level_loose_acc,none\"\ : 0.8369304556354916,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"acc,none\": 0.42220744680851063,\n \"acc_stderr,none\": 0.004502959606988701,\n\ \ \"prompt_level_strict_acc,none\": 0.7412199630314233,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.018846992560712525,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6011109182433605,\n \"acc_norm_stderr,none\"\ : 0.006120192093942356,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ ,\n \"acc_norm,none\": 0.844,\n \"acc_norm_stderr,none\": 0.022995023034068682\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6203208556149733,\n \"acc_norm_stderr,none\"\ : 0.03558443628801667\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.572,\n \"acc_norm_stderr,none\": 0.031355968923772626\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.696,\n \"acc_norm_stderr,none\": 0.029150213374159652\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.824,\n \"acc_norm_stderr,none\": 0.024133497525457123\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6027397260273972,\n\ \ \"acc_norm_stderr,none\": 0.040636704038880346\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.716,\n \"acc_norm_stderr,none\": 0.028576958730437443\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.796,\n \"acc_norm_stderr,none\": 0.025537121574548162\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6348314606741573,\n \"acc_norm_stderr,none\"\ : 0.03619005678691264\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \"\ acc_norm,none\": 0.772,\n \"acc_norm_stderr,none\": 0.026587432487268498\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.02915021337415965\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.312,\n \"acc_norm_stderr,none\": 0.02936106757521985\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3464765100671141,\n\ \ \"acc_norm_stderr,none\": 0.013799354494924254,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.35353535353535354,\n\ \ \"acc_norm_stderr,none\": 0.03406086723547151\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.34798534798534797,\n \"acc_norm_stderr,none\": 0.02040379284640522\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.34151785714285715,\n \"acc_norm_stderr,none\"\ : 0.022429776589214533\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7412199630314233,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018846992560712525,\n \ \ \"inst_level_strict_acc,none\": 0.8177458033573142,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.767097966728281,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n \"inst_level_loose_acc,none\"\ : 0.8369304556354916,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.0324773413897281,\n\ \ \"exact_match_stderr,none\": 0.004793317189961975,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.06514657980456026,\n \"exact_match_stderr,none\": 0.014107720843558174\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.016260162601626018,\n \"exact_match_stderr,none\": 0.011450452676925654\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ \ },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_num_theory_hard\"\ : {\n \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.025974025974025976,\n \"exact_match_stderr,none\": 0.012859058999697068\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.08808290155440414,\n \"exact_match_stderr,none\"\ : 0.020453746601601056\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.42220744680851063,\n\ \ \"acc_stderr,none\": 0.004502959606988701\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.41798941798941797,\n \"acc_norm_stderr,none\"\ : 0.01748438652663388,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ ,\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.03151438761115348\n\ \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ \ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.2734375,\n\ \ \"acc_norm_stderr,none\": 0.027912287939448926\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ : 0.432,\n \"acc_norm_stderr,none\": 0.03139181076542942\n }\n}\n```" repo_url: https://huggingface.co/zelk12/MT1-Gen5-gemma-2-9B leaderboard_url: '' point_of_contact: '' configs: - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_navigate data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_navigate_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_navigate_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_snarks data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_snarks_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_snarks_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_gpqa_extended data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_gpqa_extended_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_extended_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_gpqa_main data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_gpqa_main_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_main_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_ifeval data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_ifeval_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_ifeval_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_mmlu_pro data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_mmlu_pro_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_mmlu_pro_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_musr_object_placements data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_musr_object_placements_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_musr_object_placements_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T20_34_21.650551 path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T20-34-21.650551.jsonl' --- # Dataset Card for Evaluation run of zelk12/MT1-Gen5-gemma-2-9B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [zelk12/MT1-Gen5-gemma-2-9B](https://huggingface.co/zelk12/MT1-Gen5-gemma-2-9B) 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/zelk12__MT1-Gen5-gemma-2-9B-details", name="zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T20-34-21.650551](https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT1-Gen5-gemma-2-9B-details/blob/main/zelk12__MT1-Gen5-gemma-2-9B/results_2024-12-25T20-34-21.650551.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_norm,none": 0.5437799974056298, "acc_norm_stderr,none": 0.00533024538506611, "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "exact_match,none": 0.0324773413897281, "exact_match_stderr,none": 0.004793317189961975, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.42220744680851063, "acc_stderr,none": 0.004502959606988701, "prompt_level_strict_acc,none": 0.7412199630314233, "prompt_level_strict_acc_stderr,none": 0.018846992560712525, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6011109182433605, "acc_norm_stderr,none": 0.006120192093942356, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.844, "acc_norm_stderr,none": 0.022995023034068682 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6203208556149733, "acc_norm_stderr,none": 0.03558443628801667 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.031355968923772626 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.696, "acc_norm_stderr,none": 0.029150213374159652 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.824, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475363 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.716, "acc_norm_stderr,none": 0.028576958730437443 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.796, "acc_norm_stderr,none": 0.025537121574548162 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6348314606741573, "acc_norm_stderr,none": 0.03619005678691264 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.772, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.312, "acc_norm_stderr,none": 0.02936106757521985 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010743 }, "leaderboard_gpqa": { "acc_norm,none": 0.3464765100671141, "acc_norm_stderr,none": 0.013799354494924254, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.35353535353535354, "acc_norm_stderr,none": 0.03406086723547151 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.34798534798534797, "acc_norm_stderr,none": 0.02040379284640522 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.34151785714285715, "acc_norm_stderr,none": 0.022429776589214533 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7412199630314233, "prompt_level_strict_acc_stderr,none": 0.018846992560712525, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.0324773413897281, "exact_match_stderr,none": 0.004793317189961975, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.06514657980456026, "exact_match_stderr,none": 0.014107720843558174 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.016260162601626018, "exact_match_stderr,none": 0.011450452676925654 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.025974025974025976, "exact_match_stderr,none": 0.012859058999697068 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.08808290155440414, "exact_match_stderr,none": 0.020453746601601056 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.42220744680851063, "acc_stderr,none": 0.004502959606988701 }, "leaderboard_musr": { "acc_norm,none": 0.41798941798941797, "acc_norm_stderr,none": 0.01748438652663388, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.03151438761115348 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2734375, "acc_norm_stderr,none": 0.027912287939448926 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.432, "acc_norm_stderr,none": 0.03139181076542942 } }, "leaderboard": { "acc_norm,none": 0.5437799974056298, "acc_norm_stderr,none": 0.00533024538506611, "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "exact_match,none": 0.0324773413897281, "exact_match_stderr,none": 0.004793317189961975, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.42220744680851063, "acc_stderr,none": 0.004502959606988701, "prompt_level_strict_acc,none": 0.7412199630314233, "prompt_level_strict_acc_stderr,none": 0.018846992560712525, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6011109182433605, "acc_norm_stderr,none": 0.006120192093942356, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.844, "acc_norm_stderr,none": 0.022995023034068682 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6203208556149733, "acc_norm_stderr,none": 0.03558443628801667 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.031355968923772626 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.696, "acc_norm_stderr,none": 0.029150213374159652 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.824, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475363 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.716, "acc_norm_stderr,none": 0.028576958730437443 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.796, "acc_norm_stderr,none": 0.025537121574548162 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6348314606741573, "acc_norm_stderr,none": 0.03619005678691264 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.772, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.312, "acc_norm_stderr,none": 0.02936106757521985 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010743 }, "leaderboard_gpqa": { "acc_norm,none": 0.3464765100671141, "acc_norm_stderr,none": 0.013799354494924254, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.35353535353535354, "acc_norm_stderr,none": 0.03406086723547151 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.34798534798534797, "acc_norm_stderr,none": 0.02040379284640522 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.34151785714285715, "acc_norm_stderr,none": 0.022429776589214533 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7412199630314233, "prompt_level_strict_acc_stderr,none": 0.018846992560712525, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.0324773413897281, "exact_match_stderr,none": 0.004793317189961975, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.06514657980456026, "exact_match_stderr,none": 0.014107720843558174 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.016260162601626018, "exact_match_stderr,none": 0.011450452676925654 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.025974025974025976, "exact_match_stderr,none": 0.012859058999697068 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.08808290155440414, "exact_match_stderr,none": 0.020453746601601056 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.42220744680851063, "acc_stderr,none": 0.004502959606988701 }, "leaderboard_musr": { "acc_norm,none": 0.41798941798941797, "acc_norm_stderr,none": 0.01748438652663388, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.03151438761115348 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2734375, "acc_norm_stderr,none": 0.027912287939448926 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.432, "acc_norm_stderr,none": 0.03139181076542942 } } ``` ## 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]
extraordinarylab/infinity-instruct-inverse	extraordinarylab	"2024-12-25T20:38:05Z"	0	[ "region:us" ]	null	"2024-12-25T20:34:42Z"	--- dataset_info: config_name: 660k features: - name: id dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string - name: label struct: - name: ability_en sequence: string - name: ability_zh sequence: string - name: cate_ability_en sequence: string - name: cate_ability_zh sequence: string - name: langdetect dtype: string - name: source dtype: string - name: inverse_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 4643256198 num_examples: 659808 download_size: 2457257628 dataset_size: 4643256198 configs: - config_name: 660k data_files: - split: train path: 660k/train-* ---
dgambettavuw/D_gen10_run2_llama2-7b_sciabs_doc1000_real32_synt96_vuw	dgambettavuw	"2024-12-25T20:42:40Z"	0	[ "region:us" ]	null	"2024-12-25T20:42:36Z"	--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 636107 num_examples: 1000 download_size: 257601 dataset_size: 636107 configs: - config_name: default data_files: - split: train path: data/train-* ---
spiralworks/lg_domain_gen_2015_2020_test_2	spiralworks	"2024-12-25T21:25:43Z"	0	[ "region:us" ]	null	"2024-12-25T20:47:00Z"	--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: authors sequence: string - name: abstract dtype: string - name: year dtype: string - name: venue dtype: string - name: keywords sequence: string - name: pdf_url dtype: string - name: forum_url dtype: string - name: forum_raw_text dtype: string - name: reviews_raw_text dtype: string - name: average_rating dtype: float64 - name: average_confidence dtype: float64 - name: reviews dtype: string splits: - name: train num_bytes: 40140579 num_examples: 1019 download_size: 19796051 dataset_size: 40140579 configs: - config_name: default data_files: - split: train path: data/train-* ---
violetxi/MATH-500_L4_best_first_N128_B4_D15_T0.0001_41-128	violetxi	"2024-12-26T00:08:23Z"	0	[ "region:us" ]	null	"2024-12-25T20:47:13Z"	--- dataset_info: features: - name: problem dtype: string - name: solution dtype: string - name: search_trace_with_values dtype: string - name: search_method dtype: string - name: ground_truth dtype: string - name: search_input_tokens dtype: int64 - name: search_output_tokens dtype: int64 - name: solution_input_tokens dtype: int64 - name: solution_output_tokens dtype: int64 splits: - name: train num_bytes: 40314 num_examples: 10 download_size: 30594 dataset_size: 40314 configs: - config_name: default data_files: - split: train path: data/train-* ---
ParsBench/PersianSyntheticEmotions	ParsBench	"2024-12-25T20:58:40Z"	0	[ "language:fa", "license:apache-2.0", "size_categories:1K<n<10K", "region:us", "persian", "emotion", "synthetic", "text-classification" ]	null	"2024-12-25T20:49:21Z"	--- license: apache-2.0 tags: - persian - emotion - synthetic - text-classification language: - fa size_categories: - 1K<n<10K --- # PersianSyntheticEmotions Dataset This dataset contains 8,751 Persian text records synthetically generated using the GPT-4o model, labeled with Ekman's six basic emotions. The dataset is sourced from [PersianSyntheticData](https://github.com/ParsBench/PersianSyntheticData). ## Dataset Description ### Dataset Summary The PersianSyntheticEmotions dataset is a collection of Persian texts labeled with six emotion classes based on Ekman's basic emotions theory. The data is synthetically generated, making it useful for training emotion classification models for Persian language tasks. ### Supported Tasks - Text Classification - Emotion Recognition - Sentiment Analysis ### Languages - Persian (fa) ### Loading the Dataset ```python from datasets import load_dataset dataset = load_dataset("ParsBench/PersianSyntheticEmotions") ``` ### Dataset Structure The dataset contains the following emotion classes: - Joy (شادی) - Sadness (غم) - Anger (خشم) - Fear (ترس) - Disgust (تنفر) - Surprise (تعجب) Total number of examples: 10,000 ### Data Fields - `text`: Persian text content - `label`: Emotion class label (one of the six Ekman emotions) ### Data Splits The data is provided in JSONL format in the `data` directory. ### Data Samples ```json { "text": "دیروز در جشنواره محلی روستا شرکت کردم و از دیدن رقص‌های محلی و غذاهای سنتی بسیار لذت بردم.", "label": "شادی" } ``` ### Dataset Statistics \| Emotion Label \| Count \| \|--------------\|-------\| \| شادی (Joy) \| 2746 \| \| غم (Sadness) \| 1638 \| \| تعجب (Surprise) \| 1282 \| \| خشم (Anger) \| 1011 \| \| ترس (Fear) \| 1124 \| \| نفرت (Disgust) \| 950 \| ### Source Data The dataset is derived from the [PersianSyntheticData](https://github.com/ParsBench/PersianSyntheticData) project. The texts were generated using the GPT-4 model and annotated with appropriate emotion labels. ### Considerations for Using the Data Since this is synthetic data generated by AI: - The quality and naturalness of the text may vary - The data might not perfectly represent real-world emotion expressions - It's recommended to validate the model's performance on real-world data ## Additional Information ### Dataset Curators This dataset was curated by the ParsBench team. ### Licensing Information This dataset is licensed under Apache 2.0 License. ### Citation Information If you use this dataset, please cite the original work: ```bibtex @dataset{ParsBench/PersianSyntheticEmotions, author = {ParsBench}, title = {PersianSyntheticEmotions}, year = {2025}, url = {https://github.com/ParsBench/PersianSyntheticEmotions} } ``` ### Contributions Thanks to the ParsBench team for creating and sharing this dataset.
fernandabufon/eng_to_pt_qwq32b	fernandabufon	"2024-12-25T20:49:35Z"	0	[ "region:us" ]	null	"2024-12-25T20:49:33Z"	--- dataset_info: features: - name: id dtype: string - name: text dtype: string - name: translation dtype: string - name: Anger dtype: int64 - name: Fear dtype: int64 - name: Joy dtype: int64 - name: Sadness dtype: int64 - name: Surprise dtype: int64 - name: prompt_style dtype: string - name: inference_time dtype: float64 - name: inference_total_time dtype: float64 - name: inference_average_time dtype: float64 splits: - name: train num_bytes: 9881 num_examples: 3 download_size: 12542 dataset_size: 9881 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/qingy2024__Falcon3-2x10B-MoE-Instruct-details	open-llm-leaderboard	"2024-12-25T20:54:44Z"	0	[ "region:us" ]	null	"2024-12-25T20:51:46Z"	--- pretty_name: Evaluation run of qingy2024/Falcon3-2x10B-MoE-Instruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [qingy2024/Falcon3-2x10B-MoE-Instruct](https://huggingface.co/qingy2024/Falcon3-2x10B-MoE-Instruct)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/qingy2024__Falcon3-2x10B-MoE-Instruct-details\"\ ,\n\tname=\"qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T20-51-45.563361](https://huggingface.co/datasets/open-llm-leaderboard/qingy2024__Falcon3-2x10B-MoE-Instruct-details/blob/main/qingy2024__Falcon3-2x10B-MoE-Instruct/results_2024-12-25T20-51-45.563361.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_norm,none\": 0.553508885717992,\n \"acc_norm_stderr,none\"\ : 0.005255748604320327,\n \"inst_level_loose_acc,none\": 0.8465227817745803,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"inst_level_strict_acc,none\"\ : 0.8213429256594724,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ ,\n \"prompt_level_strict_acc,none\": 0.7486136783733827,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.018668216152240437,\n \ \ \"acc,none\": 0.44232047872340424,\n \"acc_stderr,none\": 0.004528037433703766,\n\ \ \"prompt_level_loose_acc,none\": 0.7763401109057301,\n \"\ prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n \"exact_match,none\"\ : 0.25755287009063443,\n \"exact_match_stderr,none\": 0.011203792279195409,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6162124631140427,\n \"acc_norm_stderr,none\"\ : 0.006015865354691821,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.876,\n\ \ \"acc_norm_stderr,none\": 0.020886382258673272\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6417112299465241,\n \"acc_norm_stderr,none\"\ : 0.03515846823665025\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.716,\n\ \ \"acc_norm_stderr,none\": 0.028576958730437443\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\":\ \ 0.029933259094191533\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.7,\n \ \ \"acc_norm_stderr,none\": 0.029040893477575786\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n\ \ \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.03114520984654851\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.82,\n \"acc_norm_stderr,none\": 0.02434689065029351\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.772,\n \"acc_norm_stderr,none\": 0.026587432487268498\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\":\ \ 0.029933259094191533\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6027397260273972,\n \"acc_norm_stderr,none\": 0.040636704038880346\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.732,\n \ \ \"acc_norm_stderr,none\": 0.02806876238252672\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ ,\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\":\ \ 0.030881038748993974\n },\n \"leaderboard_bbh_snarks\": {\n \ \ \"alias\": \" - leaderboard_bbh_snarks\",\n \"acc_norm,none\"\ : 0.8033707865168539,\n \"acc_norm_stderr,none\": 0.029874139553421764\n\ \ },\n \"leaderboard_bbh_sports_understanding\": {\n \"\ alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465857\n },\n\ \ \"leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" -\ \ leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.752,\n\ \ \"acc_norm_stderr,none\": 0.027367497504863593\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.236,\n \"acc_norm_stderr,none\": 0.026909337594953852\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\":\ \ 0.02721799546455311\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.536,\n\ \ \"acc_norm_stderr,none\": 0.031603975145223735\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.33053691275167785,\n\ \ \"acc_norm_stderr,none\": 0.013638887761635785,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.35353535353535354,\n \"acc_norm_stderr,none\": 0.03406086723547151\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.326007326007326,\n\ \ \"acc_norm_stderr,none\": 0.0200790433174674\n },\n \"\ leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.32589285714285715,\n \"acc_norm_stderr,none\"\ : 0.02216910313464343\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7486136783733827,\n \"prompt_level_strict_acc_stderr,none\": 0.018668216152240437,\n\ \ \"inst_level_strict_acc,none\": 0.8213429256594724,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7763401109057301,\n \"prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n\ \ \"inst_level_loose_acc,none\": 0.8465227817745803,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.25755287009063443,\n \"exact_match_stderr,none\"\ : 0.011203792279195409,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.46254071661237783,\n\ \ \"exact_match_stderr,none\": 0.028502769163031596\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.18699186991869918,\n \"exact_match_stderr,none\": 0.03530034023230448\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.07575757575757576,\n\ \ \"exact_match_stderr,none\": 0.023119068741795586\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.07857142857142857,\n \"exact_match_stderr,none\": 0.016108721027177985\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.3246753246753247,\n\ \ \"exact_match_stderr,none\": 0.03785604468377516\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.40414507772020725,\n \"exact_match_stderr,none\"\ : 0.0354150857888402\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.11851851851851852,\n \"exact_match_stderr,none\"\ : 0.027922050250639006\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.44232047872340424,\n\ \ \"acc_stderr,none\": 0.004528037433703766\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.42724867724867727,\n \"acc_norm_stderr,none\"\ : 0.017554674138374065,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.564,\n\ \ \"acc_norm_stderr,none\": 0.03142556706028136\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.2890625,\n \"acc_norm_stderr,none\"\ : 0.02838843806999465\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.432,\n \"acc_norm_stderr,none\": 0.03139181076542942\n\ \ }\n },\n \"leaderboard\": {\n \"acc_norm,none\": 0.553508885717992,\n\ \ \"acc_norm_stderr,none\": 0.005255748604320327,\n \"inst_level_loose_acc,none\"\ : 0.8465227817745803,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"inst_level_strict_acc,none\": 0.8213429256594724,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_strict_acc,none\": 0.7486136783733827,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.018668216152240437,\n \"\ acc,none\": 0.44232047872340424,\n \"acc_stderr,none\": 0.004528037433703766,\n\ \ \"prompt_level_loose_acc,none\": 0.7763401109057301,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.017931771054658346,\n \"exact_match,none\": 0.25755287009063443,\n \ \ \"exact_match_stderr,none\": 0.011203792279195409,\n \"alias\": \"\ leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6162124631140427,\n\ \ \"acc_norm_stderr,none\": 0.006015865354691821,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ : 0.876,\n \"acc_norm_stderr,none\": 0.020886382258673272\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6417112299465241,\n \"acc_norm_stderr,none\"\ : 0.03515846823665025\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.716,\n \"acc_norm_stderr,none\": 0.028576958730437443\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.7,\n \"acc_norm_stderr,none\": 0.029040893477575786\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.03114520984654851\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.82,\n \"acc_norm_stderr,none\": 0.02434689065029351\n },\n \"leaderboard_bbh_movie_recommendation\"\ : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"\ acc_norm,none\": 0.772,\n \"acc_norm_stderr,none\": 0.026587432487268498\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6027397260273972,\n\ \ \"acc_norm_stderr,none\": 0.040636704038880346\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993974\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.8033707865168539,\n \"acc_norm_stderr,none\"\ : 0.029874139553421764\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465857\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.752,\n \"acc_norm_stderr,none\": 0.027367497504863593\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.236,\n \"acc_norm_stderr,none\": 0.026909337594953852\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\": 0.031603975145223735\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.33053691275167785,\n\ \ \"acc_norm_stderr,none\": 0.013638887761635785,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.35353535353535354,\n\ \ \"acc_norm_stderr,none\": 0.03406086723547151\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.326007326007326,\n \"acc_norm_stderr,none\": 0.0200790433174674\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.32589285714285715,\n \"acc_norm_stderr,none\"\ : 0.02216910313464343\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7486136783733827,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018668216152240437,\n \ \ \"inst_level_strict_acc,none\": 0.8213429256594724,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7763401109057301,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n \"inst_level_loose_acc,none\"\ : 0.8465227817745803,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.25755287009063443,\n\ \ \"exact_match_stderr,none\": 0.011203792279195409,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.46254071661237783,\n \"exact_match_stderr,none\": 0.028502769163031596\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.18699186991869918,\n \"exact_match_stderr,none\": 0.03530034023230448\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.07575757575757576,\n \"exact_match_stderr,none\"\ : 0.023119068741795586\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.07857142857142857,\n \"exact_match_stderr,none\"\ : 0.016108721027177985\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.3246753246753247,\n \"exact_match_stderr,none\": 0.03785604468377516\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.40414507772020725,\n \"exact_match_stderr,none\"\ : 0.0354150857888402\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.11851851851851852,\n \"exact_match_stderr,none\": 0.027922050250639006\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.44232047872340424,\n \"acc_stderr,none\": 0.004528037433703766\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.42724867724867727,\n\ \ \"acc_norm_stderr,none\": 0.017554674138374065,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.2890625,\n \"acc_norm_stderr,none\": 0.02838843806999465\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.432,\n \"acc_norm_stderr,none\": 0.03139181076542942\n\ \ }\n}\n```" repo_url: https://huggingface.co/qingy2024/Falcon3-2x10B-MoE-Instruct leaderboard_url: '' point_of_contact: '' configs: - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_navigate data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_navigate_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_navigate_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_snarks data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_snarks_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_snarks_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_gpqa_extended data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_gpqa_extended_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_extended_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_gpqa_main data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_gpqa_main_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_main_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_ifeval data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_ifeval_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_ifeval_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_mmlu_pro data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_mmlu_pro_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_mmlu_pro_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_musr_object_placements data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_musr_object_placements_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_musr_object_placements_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T20_51_45.563361 path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T20-51-45.563361.jsonl' --- # Dataset Card for Evaluation run of qingy2024/Falcon3-2x10B-MoE-Instruct <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [qingy2024/Falcon3-2x10B-MoE-Instruct](https://huggingface.co/qingy2024/Falcon3-2x10B-MoE-Instruct) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/qingy2024__Falcon3-2x10B-MoE-Instruct-details", name="qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T20-51-45.563361](https://huggingface.co/datasets/open-llm-leaderboard/qingy2024__Falcon3-2x10B-MoE-Instruct-details/blob/main/qingy2024__Falcon3-2x10B-MoE-Instruct/results_2024-12-25T20-51-45.563361.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_norm,none": 0.553508885717992, "acc_norm_stderr,none": 0.005255748604320327, "inst_level_loose_acc,none": 0.8465227817745803, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.8213429256594724, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.7486136783733827, "prompt_level_strict_acc_stderr,none": 0.018668216152240437, "acc,none": 0.44232047872340424, "acc_stderr,none": 0.004528037433703766, "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "exact_match,none": 0.25755287009063443, "exact_match_stderr,none": 0.011203792279195409, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6162124631140427, "acc_norm_stderr,none": 0.006015865354691821, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.876, "acc_norm_stderr,none": 0.020886382258673272 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6417112299465241, "acc_norm_stderr,none": 0.03515846823665025 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.716, "acc_norm_stderr,none": 0.028576958730437443 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.029040893477575786 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.82, "acc_norm_stderr,none": 0.02434689065029351 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.772, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.732, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.612, "acc_norm_stderr,none": 0.030881038748993974 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8033707865168539, "acc_norm_stderr,none": 0.029874139553421764 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.236, "acc_norm_stderr,none": 0.026909337594953852 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.34, "acc_norm_stderr,none": 0.030020073605457873 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_gpqa": { "acc_norm,none": 0.33053691275167785, "acc_norm_stderr,none": 0.013638887761635785, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.35353535353535354, "acc_norm_stderr,none": 0.03406086723547151 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.326007326007326, "acc_norm_stderr,none": 0.0200790433174674 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.32589285714285715, "acc_norm_stderr,none": 0.02216910313464343 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7486136783733827, "prompt_level_strict_acc_stderr,none": 0.018668216152240437, "inst_level_strict_acc,none": 0.8213429256594724, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "inst_level_loose_acc,none": 0.8465227817745803, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.25755287009063443, "exact_match_stderr,none": 0.011203792279195409, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.46254071661237783, "exact_match_stderr,none": 0.028502769163031596 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.18699186991869918, "exact_match_stderr,none": 0.03530034023230448 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.07575757575757576, "exact_match_stderr,none": 0.023119068741795586 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.07857142857142857, "exact_match_stderr,none": 0.016108721027177985 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.3246753246753247, "exact_match_stderr,none": 0.03785604468377516 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.40414507772020725, "exact_match_stderr,none": 0.0354150857888402 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.11851851851851852, "exact_match_stderr,none": 0.027922050250639006 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.44232047872340424, "acc_stderr,none": 0.004528037433703766 }, "leaderboard_musr": { "acc_norm,none": 0.42724867724867727, "acc_norm_stderr,none": 0.017554674138374065, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2890625, "acc_norm_stderr,none": 0.02838843806999465 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.432, "acc_norm_stderr,none": 0.03139181076542942 } }, "leaderboard": { "acc_norm,none": 0.553508885717992, "acc_norm_stderr,none": 0.005255748604320327, "inst_level_loose_acc,none": 0.8465227817745803, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.8213429256594724, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.7486136783733827, "prompt_level_strict_acc_stderr,none": 0.018668216152240437, "acc,none": 0.44232047872340424, "acc_stderr,none": 0.004528037433703766, "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "exact_match,none": 0.25755287009063443, "exact_match_stderr,none": 0.011203792279195409, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6162124631140427, "acc_norm_stderr,none": 0.006015865354691821, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.876, "acc_norm_stderr,none": 0.020886382258673272 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6417112299465241, "acc_norm_stderr,none": 0.03515846823665025 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.716, "acc_norm_stderr,none": 0.028576958730437443 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.029040893477575786 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.82, "acc_norm_stderr,none": 0.02434689065029351 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.772, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.732, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.612, "acc_norm_stderr,none": 0.030881038748993974 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8033707865168539, "acc_norm_stderr,none": 0.029874139553421764 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.236, "acc_norm_stderr,none": 0.026909337594953852 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.34, "acc_norm_stderr,none": 0.030020073605457873 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_gpqa": { "acc_norm,none": 0.33053691275167785, "acc_norm_stderr,none": 0.013638887761635785, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.35353535353535354, "acc_norm_stderr,none": 0.03406086723547151 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.326007326007326, "acc_norm_stderr,none": 0.0200790433174674 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.32589285714285715, "acc_norm_stderr,none": 0.02216910313464343 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7486136783733827, "prompt_level_strict_acc_stderr,none": 0.018668216152240437, "inst_level_strict_acc,none": 0.8213429256594724, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "inst_level_loose_acc,none": 0.8465227817745803, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.25755287009063443, "exact_match_stderr,none": 0.011203792279195409, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.46254071661237783, "exact_match_stderr,none": 0.028502769163031596 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.18699186991869918, "exact_match_stderr,none": 0.03530034023230448 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.07575757575757576, "exact_match_stderr,none": 0.023119068741795586 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.07857142857142857, "exact_match_stderr,none": 0.016108721027177985 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.3246753246753247, "exact_match_stderr,none": 0.03785604468377516 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.40414507772020725, "exact_match_stderr,none": 0.0354150857888402 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.11851851851851852, "exact_match_stderr,none": 0.027922050250639006 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.44232047872340424, "acc_stderr,none": 0.004528037433703766 }, "leaderboard_musr": { "acc_norm,none": 0.42724867724867727, "acc_norm_stderr,none": 0.017554674138374065, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2890625, "acc_norm_stderr,none": 0.02838843806999465 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.432, "acc_norm_stderr,none": 0.03139181076542942 } } ``` ## 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. 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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]
1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr_ep3tmp10	1231czx	"2024-12-25T20:58:08Z"	0	[ "region:us" ]	null	"2024-12-25T20:58:06Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 19417822 num_examples: 5000 download_size: 7664136 dataset_size: 19417822 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr_ep3tmp07	1231czx	"2024-12-25T21:04:53Z"	0	[ "region:us" ]	null	"2024-12-25T21:04:51Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18656371 num_examples: 5000 download_size: 6400469 dataset_size: 18656371 configs: - config_name: default data_files: - split: train path: data/train-* ---
selfcorrexp2/llama31_first_wrong_and_10kfirst_corr_regular_norr_20k	selfcorrexp2	"2024-12-25T21:07:11Z"	0	[ "region:us" ]	null	"2024-12-25T21:07:03Z"	--- dataset_info: features: - name: idx dtype: int64 - name: prompt dtype: string - name: answers sequence: string - name: first_round dtype: bool - name: gt dtype: string - name: rewards sequence: bool - name: my_solu sequence: string - name: flag dtype: bool - name: turn dtype: int64 - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 341281757.4332316 num_examples: 20000 download_size: 154300962 dataset_size: 341281757.4332316 configs: - config_name: default data_files: - split: train path: data/train-* ---
dgambettavuw/D_gen0_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw	dgambettavuw	"2024-12-25T21:07:31Z"	0	[ "region:us" ]	null	"2024-12-25T21:07:27Z"	--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 814493 num_examples: 1000 download_size: 437382 dataset_size: 814493 configs: - config_name: default data_files: - split: train path: data/train-* ---
selfcorrexp2/llama31_first_wrong_and_20kfirst_corr_regular_norr_20k	selfcorrexp2	"2024-12-25T21:08:39Z"	0	[ "region:us" ]	null	"2024-12-25T21:08:10Z"	--- dataset_info: features: - name: idx dtype: int64 - name: prompt dtype: string - name: answers sequence: string - name: first_round dtype: bool - name: gt dtype: string - name: rewards sequence: bool - name: my_solu sequence: string - name: flag dtype: bool - name: turn dtype: int64 - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 338968859.6649252 num_examples: 20000 download_size: 152955034 dataset_size: 338968859.6649252 configs: - config_name: default data_files: - split: train path: data/train-* ---
selfcorrexp2/llama31_first_wrong_and_40kfirst_corr_regular_norr_20k	selfcorrexp2	"2024-12-25T21:10:27Z"	0	[ "region:us" ]	null	"2024-12-25T21:09:55Z"	--- dataset_info: features: - name: idx dtype: int64 - name: prompt dtype: string - name: answers sequence: string - name: first_round dtype: bool - name: gt dtype: string - name: rewards sequence: bool - name: my_solu sequence: string - name: flag dtype: bool - name: turn dtype: int64 - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 335131585.7217776 num_examples: 20000 download_size: 151093042 dataset_size: 335131585.7217776 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr_ep3tmp0	1231czx	"2024-12-25T21:11:28Z"	0	[ "region:us" ]	null	"2024-12-25T21:11:27Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18517501 num_examples: 5000 download_size: 5853206 dataset_size: 18517501 configs: - config_name: default data_files: - split: train path: data/train-* ---
ParsBench/Persian-NoRobots	ParsBench	"2024-12-25T21:15:05Z"	0	[ "license:cc-by-nc-4.0", "region:us" ]	null	"2024-12-25T21:15:05Z"	--- license: cc-by-nc-4.0 ---
Pattosan/my-distiset-55a6b53b	Pattosan	"2024-12-25T21:15:52Z"	0	[ "size_categories:n<1K", "library:distilabel", "region:us", "synthetic", "distilabel", "rlaif", "datacraft" ]	null	"2024-12-25T21:15:50Z"	--- size_categories: n<1K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': failed '1': degrading '2': operational splits: - name: train num_bytes: 2626 num_examples: 10 download_size: 3637 dataset_size: 2626 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for my-distiset-55a6b53b This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/Pattosan/my-distiset-55a6b53b/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/Pattosan/my-distiset-55a6b53b/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "label": 1, "text": "The vibrational spectral density analysis reveals a statistically significant trend towards increased amplitude modulation in the lath machine\u0027s radial direction, concurrently with a decrease in spectral power within the 100-200 Hz frequency band." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("Pattosan/my-distiset-55a6b53b", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("Pattosan/my-distiset-55a6b53b") ``` </details>
open-llm-leaderboard/zelk12__MT2-Gen5-gemma-2-9B-details	open-llm-leaderboard	"2024-12-25T21:19:19Z"	0	[ "region:us" ]	null	"2024-12-25T21:16:20Z"	--- pretty_name: Evaluation run of zelk12/MT2-Gen5-gemma-2-9B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [zelk12/MT2-Gen5-gemma-2-9B](https://huggingface.co/zelk12/MT2-Gen5-gemma-2-9B)\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/zelk12__MT2-Gen5-gemma-2-9B-details\"\ ,\n\tname=\"zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions\",\n\ \tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T21-16-19.023125](https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT2-Gen5-gemma-2-9B-details/blob/main/zelk12__MT2-Gen5-gemma-2-9B/results_2024-12-25T21-16-19.023125.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\ \ \"exact_match,none\": 0.0634441087613293,\n \"exact_match_stderr,none\"\ : 0.006514547849699374,\n \"acc_norm,none\": 0.5484498637955636,\n \ \ \"acc_norm_stderr,none\": 0.005325974810950849,\n \"inst_level_loose_acc,none\"\ : 0.841726618705036,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"acc,none\": 0.43018617021276595,\n \"acc_stderr,none\"\ : 0.004513816000062881,\n \"inst_level_strict_acc,none\": 0.8141486810551559,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.7356746765249538,\n \"prompt_level_strict_acc_stderr,none\": 0.018976469193346637,\n\ \ \"prompt_level_loose_acc,none\": 0.7707948243992606,\n \"\ prompt_level_loose_acc_stderr,none\": 0.018087757424955286,\n \"alias\"\ : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.6056240236070126,\n \"acc_norm_stderr,none\": 0.0061087361491088685,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ \ \"acc_norm,none\": 0.844,\n \"acc_norm_stderr,none\": 0.022995023034068682\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.6310160427807486,\n\ \ \"acc_norm_stderr,none\": 0.03538078548260318\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ ,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.64,\n\ \ \"acc_norm_stderr,none\": 0.03041876402517494\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.628,\n \"acc_norm_stderr,none\":\ \ 0.03063032594455827\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.68,\n \ \ \"acc_norm_stderr,none\": 0.02956172495524098\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\":\ \ 0.03139181076542941\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.824,\n \"acc_norm_stderr,none\": 0.024133497525457123\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\":\ \ 0.03010450339231644\n },\n \"leaderboard_bbh_object_counting\":\ \ {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.352,\n \"acc_norm_stderr,none\": 0.030266288057359866\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6027397260273972,\n \"acc_norm_stderr,none\": 0.040636704038880346\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.728,\n \"acc_norm_stderr,none\": 0.028200088296309975\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.784,\n \ \ \"acc_norm_stderr,none\": 0.02607865766373279\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ ,\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" -\ \ leaderboard_bbh_snarks\",\n \"acc_norm,none\": 0.651685393258427,\n\ \ \"acc_norm_stderr,none\": 0.035811144737534356\n },\n \ \ \"leaderboard_bbh_sports_understanding\": {\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ ,\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\":\ \ 0.02496069198917196\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \ \ \"acc_norm,none\": 0.788,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.029040893477575783\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\":\ \ 0.02915021337415965\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.52,\n \ \ \"acc_norm_stderr,none\": 0.03166085340849512\n },\n \"\ leaderboard_gpqa\": {\n \"acc_norm,none\": 0.35151006711409394,\n \ \ \"acc_norm_stderr,none\": 0.013838506941827745,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3838383838383838,\n \"acc_norm_stderr,none\": 0.03464881675016338\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.3516483516483517,\n\ \ \"acc_norm_stderr,none\": 0.02045320407062836\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33705357142857145,\n \"acc_norm_stderr,none\"\ : 0.02235810146577637\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7356746765249538,\n \"prompt_level_strict_acc_stderr,none\": 0.018976469193346637,\n\ \ \"inst_level_strict_acc,none\": 0.8141486810551559,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7707948243992606,\n \"prompt_level_loose_acc_stderr,none\": 0.018087757424955286,\n\ \ \"inst_level_loose_acc,none\": 0.841726618705036,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\"\n },\n \"leaderboard_math_hard\": {\n \"exact_match,none\"\ : 0.0634441087613293,\n \"exact_match_stderr,none\": 0.006514547849699374,\n\ \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_algebra_hard\",\n \ \ \"exact_match,none\": 0.13680781758957655,\n \"exact_match_stderr,none\"\ : 0.019644839884927132\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\",\n \ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0\n },\n \"leaderboard_math_geometry_hard\": {\n \"\ alias\": \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\"\ : 0.022727272727272728,\n \"exact_match_stderr,none\": 0.0130210469090637\n\ \ },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.010714285714285714,\n \"exact_match_stderr,none\"\ : 0.006163684194761604\n },\n \"leaderboard_math_num_theory_hard\"\ : {\n \"alias\": \" - leaderboard_math_num_theory_hard\",\n \ \ \"exact_match,none\": 0.06493506493506493,\n \"exact_match_stderr,none\"\ : 0.01992116854149014\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \ \ \"exact_match,none\": 0.13471502590673576,\n \"exact_match_stderr,none\"\ : 0.02463978909770943\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.43018617021276595,\n \"acc_stderr,none\"\ : 0.004513816000062881\n },\n \"leaderboard_musr\": {\n \ \ \"acc_norm,none\": 0.42328042328042326,\n \"acc_norm_stderr,none\"\ : 0.017504600542222602,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.564,\n\ \ \"acc_norm_stderr,none\": 0.03142556706028136\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.28125,\n \"acc_norm_stderr,none\"\ : 0.028155620586096754\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.428,\n \"acc_norm_stderr,none\": 0.031355968923772626\n\ \ }\n },\n \"leaderboard\": {\n \"exact_match,none\": 0.0634441087613293,\n\ \ \"exact_match_stderr,none\": 0.006514547849699374,\n \"acc_norm,none\"\ : 0.5484498637955636,\n \"acc_norm_stderr,none\": 0.005325974810950849,\n\ \ \"inst_level_loose_acc,none\": 0.841726618705036,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"acc,none\": 0.43018617021276595,\n \"acc_stderr,none\"\ : 0.004513816000062881,\n \"inst_level_strict_acc,none\": 0.8141486810551559,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.7356746765249538,\n \"prompt_level_strict_acc_stderr,none\": 0.018976469193346637,\n\ \ \"prompt_level_loose_acc,none\": 0.7707948243992606,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.018087757424955286,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6056240236070126,\n \"acc_norm_stderr,none\"\ : 0.0061087361491088685,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ ,\n \"acc_norm,none\": 0.844,\n \"acc_norm_stderr,none\": 0.022995023034068682\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6310160427807486,\n \"acc_norm_stderr,none\"\ : 0.03538078548260318\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\"\ : 0.64,\n \"acc_norm_stderr,none\": 0.03041876402517494\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\",\n \"acc_norm,none\"\ : 0.628,\n \"acc_norm_stderr,none\": 0.03063032594455827\n },\n \"\ leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.68,\n \"acc_norm_stderr,none\": 0.02956172495524098\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.824,\n \"acc_norm_stderr,none\": 0.024133497525457123\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\": 0.03010450339231644\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.352,\n \"acc_norm_stderr,none\": 0.030266288057359866\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6027397260273972,\n\ \ \"acc_norm_stderr,none\": 0.040636704038880346\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.728,\n \"acc_norm_stderr,none\": 0.028200088296309975\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.784,\n \"acc_norm_stderr,none\": 0.02607865766373279\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.651685393258427,\n \"acc_norm_stderr,none\"\ : 0.035811144737534356\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.808,\n \"acc_norm_stderr,none\": 0.02496069198917196\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.788,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.029040893477575783\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.02915021337415965\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.35151006711409394,\n\ \ \"acc_norm_stderr,none\": 0.013838506941827745,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3838383838383838,\n\ \ \"acc_norm_stderr,none\": 0.03464881675016338\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.3516483516483517,\n \"acc_norm_stderr,none\": 0.02045320407062836\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33705357142857145,\n \"acc_norm_stderr,none\"\ : 0.02235810146577637\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7356746765249538,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018976469193346637,\n \ \ \"inst_level_strict_acc,none\": 0.8141486810551559,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7707948243992606,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.018087757424955286,\n \"inst_level_loose_acc,none\"\ : 0.841726618705036,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.0634441087613293,\n\ \ \"exact_match_stderr,none\": 0.006514547849699374,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.13680781758957655,\n \"exact_match_stderr,none\": 0.019644839884927132\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_geometry_hard\"\ : {\n \"alias\": \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\"\ : 0.022727272727272728,\n \"exact_match_stderr,none\": 0.0130210469090637\n\ \ },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.010714285714285714,\n \"exact_match_stderr,none\": 0.006163684194761604\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ ,\n \"exact_match,none\": 0.06493506493506493,\n \"exact_match_stderr,none\"\ : 0.01992116854149014\n },\n \"leaderboard_math_prealgebra_hard\": {\n \ \ \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \"exact_match,none\"\ : 0.13471502590673576,\n \"exact_match_stderr,none\": 0.02463978909770943\n\ \ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" -\ \ leaderboard_math_precalculus_hard\",\n \"exact_match,none\": 0.0,\n \ \ \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_mmlu_pro\": {\n\ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.43018617021276595,\n\ \ \"acc_stderr,none\": 0.004513816000062881\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.42328042328042326,\n \"acc_norm_stderr,none\"\ : 0.017504600542222602,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ ,\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136\n\ \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ \ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.28125,\n \ \ \"acc_norm_stderr,none\": 0.028155620586096754\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ : 0.428,\n \"acc_norm_stderr,none\": 0.031355968923772626\n }\n}\n```" repo_url: https://huggingface.co/zelk12/MT2-Gen5-gemma-2-9B leaderboard_url: '' point_of_contact: '' configs: - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_navigate data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_navigate_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_navigate_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_snarks data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_snarks_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_snarks_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_gpqa_extended data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_gpqa_extended_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_extended_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_gpqa_main data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_gpqa_main_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_main_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_ifeval data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_ifeval_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_ifeval_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_mmlu_pro data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_mmlu_pro_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_mmlu_pro_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_musr_object_placements data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_musr_object_placements_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_musr_object_placements_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T21_16_19.023125 path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T21-16-19.023125.jsonl' --- # Dataset Card for Evaluation run of zelk12/MT2-Gen5-gemma-2-9B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [zelk12/MT2-Gen5-gemma-2-9B](https://huggingface.co/zelk12/MT2-Gen5-gemma-2-9B) 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/zelk12__MT2-Gen5-gemma-2-9B-details", name="zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T21-16-19.023125](https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT2-Gen5-gemma-2-9B-details/blob/main/zelk12__MT2-Gen5-gemma-2-9B/results_2024-12-25T21-16-19.023125.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": { "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.006514547849699374, "acc_norm,none": 0.5484498637955636, "acc_norm_stderr,none": 0.005325974810950849, "inst_level_loose_acc,none": 0.841726618705036, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.43018617021276595, "acc_stderr,none": 0.004513816000062881, "inst_level_strict_acc,none": 0.8141486810551559, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.7356746765249538, "prompt_level_strict_acc_stderr,none": 0.018976469193346637, "prompt_level_loose_acc,none": 0.7707948243992606, "prompt_level_loose_acc_stderr,none": 0.018087757424955286, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6056240236070126, "acc_norm_stderr,none": 0.0061087361491088685, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.844, "acc_norm_stderr,none": 0.022995023034068682 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6310160427807486, "acc_norm_stderr,none": 0.03538078548260318 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.628, "acc_norm_stderr,none": 0.03063032594455827 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.68, "acc_norm_stderr,none": 0.02956172495524098 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.824, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.352, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.784, "acc_norm_stderr,none": 0.02607865766373279 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.651685393258427, "acc_norm_stderr,none": 0.035811144737534356 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.3, "acc_norm_stderr,none": 0.029040893477575783 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.34, "acc_norm_stderr,none": 0.030020073605457873 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_gpqa": { "acc_norm,none": 0.35151006711409394, "acc_norm_stderr,none": 0.013838506941827745, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3838383838383838, "acc_norm_stderr,none": 0.03464881675016338 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3516483516483517, "acc_norm_stderr,none": 0.02045320407062836 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33705357142857145, "acc_norm_stderr,none": 0.02235810146577637 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7356746765249538, "prompt_level_strict_acc_stderr,none": 0.018976469193346637, "inst_level_strict_acc,none": 0.8141486810551559, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7707948243992606, "prompt_level_loose_acc_stderr,none": 0.018087757424955286, "inst_level_loose_acc,none": 0.841726618705036, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.006514547849699374, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.13680781758957655, "exact_match_stderr,none": 0.019644839884927132 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.022727272727272728, "exact_match_stderr,none": 0.0130210469090637 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.010714285714285714, "exact_match_stderr,none": 0.006163684194761604 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.06493506493506493, "exact_match_stderr,none": 0.01992116854149014 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.13471502590673576, "exact_match_stderr,none": 0.02463978909770943 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.43018617021276595, "acc_stderr,none": 0.004513816000062881 }, "leaderboard_musr": { "acc_norm,none": 0.42328042328042326, "acc_norm_stderr,none": 0.017504600542222602, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.28125, "acc_norm_stderr,none": 0.028155620586096754 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.428, "acc_norm_stderr,none": 0.031355968923772626 } }, "leaderboard": { "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.006514547849699374, "acc_norm,none": 0.5484498637955636, "acc_norm_stderr,none": 0.005325974810950849, "inst_level_loose_acc,none": 0.841726618705036, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.43018617021276595, "acc_stderr,none": 0.004513816000062881, "inst_level_strict_acc,none": 0.8141486810551559, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.7356746765249538, "prompt_level_strict_acc_stderr,none": 0.018976469193346637, "prompt_level_loose_acc,none": 0.7707948243992606, "prompt_level_loose_acc_stderr,none": 0.018087757424955286, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6056240236070126, "acc_norm_stderr,none": 0.0061087361491088685, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.844, "acc_norm_stderr,none": 0.022995023034068682 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6310160427807486, "acc_norm_stderr,none": 0.03538078548260318 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.628, "acc_norm_stderr,none": 0.03063032594455827 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.68, "acc_norm_stderr,none": 0.02956172495524098 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.824, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.352, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.784, "acc_norm_stderr,none": 0.02607865766373279 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.651685393258427, "acc_norm_stderr,none": 0.035811144737534356 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.3, "acc_norm_stderr,none": 0.029040893477575783 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.34, "acc_norm_stderr,none": 0.030020073605457873 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_gpqa": { "acc_norm,none": 0.35151006711409394, "acc_norm_stderr,none": 0.013838506941827745, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3838383838383838, "acc_norm_stderr,none": 0.03464881675016338 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3516483516483517, "acc_norm_stderr,none": 0.02045320407062836 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33705357142857145, "acc_norm_stderr,none": 0.02235810146577637 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7356746765249538, "prompt_level_strict_acc_stderr,none": 0.018976469193346637, "inst_level_strict_acc,none": 0.8141486810551559, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7707948243992606, "prompt_level_loose_acc_stderr,none": 0.018087757424955286, "inst_level_loose_acc,none": 0.841726618705036, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.006514547849699374, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.13680781758957655, "exact_match_stderr,none": 0.019644839884927132 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.022727272727272728, "exact_match_stderr,none": 0.0130210469090637 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.010714285714285714, "exact_match_stderr,none": 0.006163684194761604 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.06493506493506493, "exact_match_stderr,none": 0.01992116854149014 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.13471502590673576, "exact_match_stderr,none": 0.02463978909770943 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.43018617021276595, "acc_stderr,none": 0.004513816000062881 }, "leaderboard_musr": { "acc_norm,none": 0.42328042328042326, "acc_norm_stderr,none": 0.017504600542222602, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.28125, "acc_norm_stderr,none": 0.028155620586096754 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.428, "acc_norm_stderr,none": 0.031355968923772626 } } ``` ## 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]
ljnlonoljpiljm/laion-gpt4v	ljnlonoljpiljm	"2024-12-25T21:22:17Z"	0	[ "region:us" ]	null	"2024-12-25T21:18:46Z"	--- dataset_info: features: - name: uuid dtype: string - name: url dtype: string - name: image dtype: image - name: caption dtype: string - name: detailed_caption dtype: string - name: tags sequence: string - name: dataset dtype: string - name: points sequence: - name: uuid dtype: string - name: x dtype: float32 - name: y dtype: float32 - name: label dtype: string - name: objects sequence: - name: uuid dtype: string - name: x_min dtype: float32 - name: y_min dtype: float32 - name: x_max dtype: float32 - name: y_max dtype: float32 - name: label dtype: string - name: image_width dtype: int32 - name: image_height dtype: int32 - name: aesthetic_score dtype: float32 - name: sensitivity_score dtype: float32 splits: - name: train num_bytes: 393196185.445 num_examples: 7535 download_size: 406163413 dataset_size: 393196185.445 configs: - config_name: default data_files: - split: train path: data/train-* ---
Gusarich/GenMath-0	Gusarich	"2024-12-25T22:01:37Z"	0	[ "task_categories:text2text-generation", "language:en", "license:mit", "size_categories:n<1K", "region:us", "math" ]	[ "text2text-generation" ]	"2024-12-25T21:25:05Z"	--- license: mit task_categories: - text2text-generation language: - en tags: - math size_categories: - n<1K --- # GenMath Dataset ## Overview The GenMath-0 dataset is a comprehensive benchmark designed to evaluate the mathematical reasoning capabilities of AI models. The name "GenMath" reflects two key aspects of the dataset: - Generated: The problems are synthetically created using advanced AI models, ensuring a diverse and challenging set of tasks. - General: The dataset spans a wide range of 86 mathematical areas, making it applicable to various domains of mathematics and problem-solving. This is the first version of an ongoing project, with future iterations planned to include: - Additional problems. - Enhanced verification using even more advanced models. - Coverage of new mathematical areas to ensure continuous improvement and relevance. ### Dataset Highlights - 344 problems with numerical answers. - Covers 86 distinct areas of mathematics. - Categorized into 4 difficulty levels: Easy, Medium, Hard, and Extreme. - Balanced structure: Each area has exactly 4 problems, one at each difficulty level. The GenMath dataset is designed to test models across a wide spectrum of mathematical reasoning, from foundational to advanced topics. ### Why Choose GenMath? - Diverse Coverage: Problems span topics like Noncommutative Geometry, Analytic Number Theory, and many more. - Difficulty Gradation: Problems are systematically categorized to reveal how models handle increasingly complex challenges. - Verified Answers: Each problem has a verified numerical answer, determined by a consensus mechanism involving four independent runs of the o1-mini model. --- ## Dataset Structure Each problem is represented as a JSON object with the following fields: - `area`: The area of mathematics the problem belongs to (e.g., "Noncommutative Geometry"). - `difficulty`: The difficulty level (Easy, Medium, Hard, Extreme). - `problem`: The LaTeX-formatted mathematical problem statement as a string. - `answer`: The numerical answer to the problem. ### Example Entry ```json { "area": "Noncommutative Geometry", "difficulty": "Medium", "problem": "Consider a noncommutative two-dimensional torus \( \mathcal{A}_\theta \) with parameter \( \theta = \frac{1}{3} \). Let \( U \) and \( V \) be unitary operators satisfying the relation \( UV = e^{2\pi i \theta} VU \). Define the operator \( X = U + V + U^* + V^* \). Compute the trace of the operator \( X^2 \) in the GNS representation corresponding to the canonical trace state on \( \mathcal{A}_\theta \). What is the value of this trace?", "answer": 4.0 } ``` --- ## Usage The dataset can be loaded with the Hugging Face `datasets` library: ```python from datasets import load_dataset dataset = load_dataset("Gusarich/GenMath-0") print(dataset["train"][0]) ``` The dataset is stored in a single JSON file and can also be accessed directly. --- ## Licensing This dataset is released under the [MIT License](LICENSE). You are free to use, modify, and distribute it, provided proper credit is given. --- ## Citation If you use this dataset, please cite it as: ``` @dataset{sedov_genmath0, title={GenMath-0 Dataset}, author={Daniil Sedov}, year={2024}, publisher={Hugging Face}, url={https://huggingface.co/datasets/Gusarich/GenMath-0} } ```
barber82/criminaltest	barber82	"2024-12-25T21:31:06Z"	0	[ "license:mit", "region:us" ]	null	"2024-12-25T21:30:00Z"	--- license: mit ---
Mah9sh/Persian_Relationship_Conversations	Mah9sh	"2024-12-25T21:34:36Z"	0	[ "license:cc-by-sa-4.0", "region:us" ]	null	"2024-12-25T21:34:36Z"	--- license: cc-by-sa-4.0 ---
spiralworks/lg_domain_gen_2015_2020_test_3	spiralworks	"2024-12-25T22:01:16Z"	0	[ "region:us" ]	null	"2024-12-25T21:35:47Z"	--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: authors sequence: string - name: abstract dtype: string - name: year dtype: string - name: venue dtype: string - name: keywords sequence: string - name: pdf_url dtype: string - name: forum_url dtype: string - name: forum_raw_text dtype: string - name: reviews_raw_text dtype: string - name: average_rating dtype: float64 - name: average_confidence dtype: float64 - name: reviews dtype: string splits: - name: train num_bytes: 47044074 num_examples: 1208 download_size: 22350411 dataset_size: 47044074 configs: - config_name: default data_files: - split: train path: data/train-* ---
mlfoundations-dev/stackoverflow_5000tasks_.75p	mlfoundations-dev	"2024-12-25T22:08:18Z"	0	[ "region:us" ]	null	"2024-12-25T21:36:32Z"	--- dataset_info: features: - name: instruction dtype: string - name: completion dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string - name: seed_tasks dtype: string - name: generated_command_prompt dtype: string - name: generated_command dtype: string - name: command_response dtype: string - name: final_instruction dtype: string - name: final_response dtype: string splits: - name: train num_bytes: 768192188 num_examples: 50000 download_size: 389392825 dataset_size: 768192188 configs: - config_name: default data_files: - split: train path: data/train-* ---
smmrokn/reddit_dataset_44	smmrokn	"2024-12-25T21:42:43Z"	0	[ "task_categories:text-classification", "task_categories:token-classification", "task_categories:question-answering", "task_categories:summarization", "task_categories:text-generation", "task_ids:sentiment-analysis", "task_ids:topic-classification", "task_ids:named-entity-recognition", "task_ids:language-modeling", "task_ids:text-scoring", "task_ids:multi-class-classification", "task_ids:multi-label-classification", "task_ids:extractive-qa", "task_ids:news-articles-summarization", "multilinguality:multilingual", "source_datasets:original", "license:mit", "region:us" ]	[ "text-classification", "token-classification", "question-answering", "summarization", "text-generation" ]	"2024-12-25T21:42:40Z"	--- license: mit multilinguality: - multilingual source_datasets: - original task_categories: - text-classification - token-classification - question-answering - summarization - text-generation task_ids: - sentiment-analysis - topic-classification - named-entity-recognition - language-modeling - text-scoring - multi-class-classification - multi-label-classification - extractive-qa - news-articles-summarization --- # Bittensor Subnet 13 Reddit Dataset <center> <img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer"> </center> <center> <img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/macrocosmos-black.png" alt="Data-universe: The finest collection of social media data the web has to offer"> </center> ## Dataset Description - Repository: smmrokn/reddit_dataset_44 - Subnet: Bittensor Subnet 13 - Miner Hotkey: 0 ### Dataset Summary This dataset is part of the Bittensor Subnet 13 decentralized network, containing preprocessed Reddit data. The data is continuously updated by network miners, providing a real-time stream of Reddit content for various analytical and machine learning tasks. For more information about the dataset, please visit the [official repository](https://github.com/macrocosm-os/data-universe). ### Supported Tasks The versatility of this dataset allows researchers and data scientists to explore various aspects of social media dynamics and develop innovative applications. Users are encouraged to leverage this data creatively for their specific research or business needs. For example: - Sentiment Analysis - Topic Modeling - Community Analysis - Content Categorization ### Languages Primary language: Datasets are mostly English, but can be multilingual due to decentralized ways of creation. ## Dataset Structure ### Data Instances Each instance represents a single Reddit post or comment with the following fields: ### Data Fields - `text` (string): The main content of the Reddit post or comment. - `label` (string): Sentiment or topic category of the content. - `dataType` (string): Indicates whether the entry is a post or a comment. - `communityName` (string): The name of the subreddit where the content was posted. - `datetime` (string): The date when the content was posted or commented. - `username_encoded` (string): An encoded version of the username to maintain user privacy. - `url_encoded` (string): An encoded version of any URLs included in the content. ### Data Splits This dataset is continuously updated and does not have fixed splits. Users should create their own splits based on their requirements and the data's timestamp. ## Dataset Creation ### Source Data Data is collected from public posts and comments on Reddit, adhering to the platform's terms of service and API usage guidelines. ### Personal and Sensitive Information All usernames and URLs are encoded to protect user privacy. The dataset does not intentionally include personal or sensitive information. ## Considerations for Using the Data ### Social Impact and Biases Users should be aware of potential biases inherent in Reddit data, including demographic and content biases. This dataset reflects the content and opinions expressed on Reddit and should not be considered a representative sample of the general population. ### Limitations - Data quality may vary due to the nature of media sources. - The dataset may contain noise, spam, or irrelevant content typical of social media platforms. - Temporal biases may exist due to real-time collection methods. - The dataset is limited to public subreddits and does not include private or restricted communities. ## Additional Information ### Licensing Information The dataset is released under the MIT license. The use of this dataset is also subject to Reddit Terms of Use. ### Citation Information If you use this dataset in your research, please cite it as follows: ``` @misc{smmrokn2024datauniversereddit_dataset_44, title={The Data Universe Datasets: The finest collection of social media data the web has to offer}, author={smmrokn}, year={2024}, url={https://huggingface.co/datasets/smmrokn/reddit_dataset_44}, } ``` ### Contributions To report issues or contribute to the dataset, please contact the miner or use the Bittensor Subnet 13 governance mechanisms. ## Dataset Statistics [This section is automatically updated] - Total Instances: 755 - Date Range: 2024-12-25T00:00:00Z to 2024-12-25T00:00:00Z - Last Updated: 2024-12-25T21:42:42Z ### Data Distribution - Posts: 0.00% - Comments: 100.00% ### Top 10 Subreddits For full statistics, please refer to the `stats.json` file in the repository. \| Rank \| Topic \| Total Count \| Percentage \| \|------\|-------\|-------------\|-------------\| \| 1 \| r/science \| 755 \| 100.00% \| ## Update History \| Date \| New Instances \| Total Instances \| \|------\|---------------\|-----------------\| \| 2024-12-25T21:42:42Z \| 755 \| 755 \|
mlfoundations-dev/stackoverflow_5000tasks_1p	mlfoundations-dev	"2024-12-25T22:08:16Z"	0	[ "region:us" ]	null	"2024-12-25T21:43:58Z"	--- dataset_info: features: - name: instruction dtype: string - name: completion dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string - name: seed_tasks dtype: string - name: generated_command_prompt dtype: string - name: generated_command dtype: string - name: command_response dtype: string - name: final_instruction dtype: string - name: final_response dtype: string splits: - name: train num_bytes: 769102396 num_examples: 50000 download_size: 391887503 dataset_size: 769102396 configs: - config_name: default data_files: - split: train path: data/train-* ---
ljnlonoljpiljm/laion-gpt4v-from-lavis	ljnlonoljpiljm	"2024-12-25T21:50:36Z"	0	[ "region:us" ]	null	"2024-12-25T21:44:58Z"	--- dataset_info: features: - name: uuid dtype: string - name: url dtype: string - name: image dtype: image - name: caption dtype: string - name: detailed_caption dtype: string - name: tags sequence: string - name: dataset dtype: string - name: points sequence: - name: uuid dtype: string - name: x dtype: float32 - name: y dtype: float32 - name: label dtype: string - name: objects sequence: - name: uuid dtype: string - name: x_min dtype: float32 - name: y_min dtype: float32 - name: x_max dtype: float32 - name: y_max dtype: float32 - name: label dtype: string - name: image_width dtype: int32 - name: image_height dtype: int32 - name: aesthetic_score dtype: float32 - name: sensitivity_score dtype: float32 splits: - name: train num_bytes: 11023443187.92 num_examples: 217160 download_size: 11154001642 dataset_size: 11023443187.92 configs: - config_name: default data_files: - split: train path: data/train-* ---
dgambettavuw/D_gen1_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw	dgambettavuw	"2024-12-25T21:49:21Z"	0	[ "region:us" ]	null	"2024-12-25T21:49:13Z"	--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 810777 num_examples: 1000 download_size: 430550 dataset_size: 810777 configs: - config_name: default data_files: - split: train path: data/train-* ---
dogtooth/uf_tulu_2_uf_iter2_2	dogtooth	"2024-12-25T21:54:13Z"	0	[ "region:us" ]	null	"2024-12-25T21:53:57Z"	--- dataset_info: features: - name: prompt dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: model_completion dtype: string - name: reference_completion dtype: string splits: - name: train num_bytes: 687519266 num_examples: 122270 download_size: 266586960 dataset_size: 687519266 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/mergekit-community__mergekit-ties-ykqemwr-details	open-llm-leaderboard	"2024-12-25T22:04:02Z"	0	[ "region:us" ]	null	"2024-12-25T22:00:56Z"	--- pretty_name: Evaluation run of mergekit-community/mergekit-ties-ykqemwr dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [mergekit-community/mergekit-ties-ykqemwr](https://huggingface.co/mergekit-community/mergekit-ties-ykqemwr)\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/mergekit-community__mergekit-ties-ykqemwr-details\"\ ,\n\tname=\"mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T22-00-54.914140](https://huggingface.co/datasets/open-llm-leaderboard/mergekit-community__mergekit-ties-ykqemwr-details/blob/main/mergekit-community__mergekit-ties-ykqemwr/results_2024-12-25T22-00-54.914140.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\": 0.2846580406654344,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.0194187691064861,\n \"acc_norm,none\"\ : 0.4968218964846284,\n \"acc_norm_stderr,none\": 0.005359611407101173,\n\ \ \"inst_level_strict_acc,none\": 0.4352517985611511,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc,none\": 0.3734208776595745,\n\ \ \"acc_stderr,none\": 0.004409977709525806,\n \"prompt_level_loose_acc,none\"\ : 0.3345656192236599,\n \"prompt_level_loose_acc_stderr,none\": 0.02030469137804569,\n\ \ \"inst_level_loose_acc,none\": 0.47961630695443647,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"exact_match,none\":\ \ 0.11858006042296072,\n \"exact_match_stderr,none\": 0.00847775132311359,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.543134872417983,\n \"acc_norm_stderr,none\"\ : 0.006187798698597206,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.832,\n\ \ \"acc_norm_stderr,none\": 0.023692813205492536\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6203208556149733,\n \"acc_norm_stderr,none\"\ : 0.03558443628801667\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465857\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.592,\n\ \ \"acc_norm_stderr,none\": 0.03114520984654851\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.496,\n \"acc_norm_stderr,none\":\ \ 0.0316851985511992\n },\n \"leaderboard_bbh_geometric_shapes\":\ \ {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.472,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.64,\n \ \ \"acc_norm_stderr,none\": 0.03041876402517494\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\":\ \ 0.031563285061213475\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\":\ \ 0.03151438761115349\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\ ,\n \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\":\ \ 0.02721799546455311\n },\n \"leaderboard_bbh_movie_recommendation\"\ : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \ \ \"acc_norm,none\": 0.748,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \"\ \ - leaderboard_bbh_navigate\",\n \"acc_norm,none\": 0.656,\n \ \ \"acc_norm_stderr,none\": 0.03010450339231644\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.541095890410959,\n \"acc_norm_stderr,none\": 0.041382249050673094\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.648,\n \ \ \"acc_norm_stderr,none\": 0.030266288057359866\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6797752808988764,\n \"acc_norm_stderr,none\"\ : 0.03506900770722058\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.364,\n\ \ \"acc_norm_stderr,none\": 0.030491555220405475\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.14,\n \"acc_norm_stderr,none\": 0.021989409645240245\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\":\ \ 0.029462657598578648\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.508,\n \"acc_norm_stderr,none\": 0.03168215643141386\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3221476510067114,\n\ \ \"acc_norm_stderr,none\": 0.013550646507334637,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.31313131313131315,\n \"acc_norm_stderr,none\": 0.033042050878136546\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.31868131868131866,\n\ \ \"acc_norm_stderr,none\": 0.019959754728358932\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33035714285714285,\n \"acc_norm_stderr,none\"\ : 0.022246398347131557\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.2846580406654344,\n \"prompt_level_strict_acc_stderr,none\": 0.0194187691064861,\n\ \ \"inst_level_strict_acc,none\": 0.4352517985611511,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.3345656192236599,\n \"prompt_level_loose_acc_stderr,none\": 0.02030469137804569,\n\ \ \"inst_level_loose_acc,none\": 0.47961630695443647,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.11858006042296072,\n \"exact_match_stderr,none\"\ : 0.00847775132311359,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.1986970684039088,\n\ \ \"exact_match_stderr,none\": 0.022810425277602825\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.07317073170731707,\n \"exact_match_stderr,none\": 0.023577005978097667\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.03787878787878788,\n\ \ \"exact_match_stderr,none\": 0.016679279394712563\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.02142857142857143,\n \"exact_match_stderr,none\": 0.008669434577665551\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.07142857142857142,\n\ \ \"exact_match_stderr,none\": 0.020820824576076338\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.3005181347150259,\n \"exact_match_stderr,none\"\ : 0.033088185944157515\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.05185185185185185,\n \"exact_match_stderr,none\"\ : 0.019154368449050496\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.3734208776595745,\n\ \ \"acc_stderr,none\": 0.004409977709525806\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4193121693121693,\n \"acc_norm_stderr,none\"\ : 0.017520624624081504,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.576,\n\ \ \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.359375,\n \"acc_norm_stderr,none\"\ : 0.0300473227657999\n },\n \"leaderboard_musr_team_allocation\":\ \ {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.324,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ \ }\n },\n \"leaderboard\": {\n \"prompt_level_strict_acc,none\"\ : 0.2846580406654344,\n \"prompt_level_strict_acc_stderr,none\": 0.0194187691064861,\n\ \ \"acc_norm,none\": 0.4968218964846284,\n \"acc_norm_stderr,none\"\ : 0.005359611407101173,\n \"inst_level_strict_acc,none\": 0.4352517985611511,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc,none\":\ \ 0.3734208776595745,\n \"acc_stderr,none\": 0.004409977709525806,\n \ \ \"prompt_level_loose_acc,none\": 0.3345656192236599,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.02030469137804569,\n \"inst_level_loose_acc,none\": 0.47961630695443647,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"exact_match,none\"\ : 0.11858006042296072,\n \"exact_match_stderr,none\": 0.00847775132311359,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \ \ \"acc_norm,none\": 0.543134872417983,\n \"acc_norm_stderr,none\": 0.006187798698597206,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"\ acc_norm,none\": 0.832,\n \"acc_norm_stderr,none\": 0.023692813205492536\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6203208556149733,\n \"acc_norm_stderr,none\"\ : 0.03558443628801667\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465857\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.03114520984654851\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.496,\n \"acc_norm_stderr,none\": 0.0316851985511992\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.472,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\": 0.03041876402517494\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.456,\n \"acc_norm_stderr,none\": 0.031563285061213475\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.748,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\": 0.03010450339231644\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.541095890410959,\n\ \ \"acc_norm_stderr,none\": 0.041382249050673094\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359866\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6797752808988764,\n \"acc_norm_stderr,none\"\ : 0.03506900770722058\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.364,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.14,\n \"acc_norm_stderr,none\": 0.021989409645240245\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\": 0.029462657598578648\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.508,\n \"acc_norm_stderr,none\": 0.03168215643141386\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3221476510067114,\n\ \ \"acc_norm_stderr,none\": 0.013550646507334637,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.31313131313131315,\n\ \ \"acc_norm_stderr,none\": 0.033042050878136546\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.31868131868131866,\n \"acc_norm_stderr,none\": 0.019959754728358932\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33035714285714285,\n \"acc_norm_stderr,none\"\ : 0.022246398347131557\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.2846580406654344,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.0194187691064861,\n \"\ inst_level_strict_acc,none\": 0.4352517985611511,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.3345656192236599,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.02030469137804569,\n \"inst_level_loose_acc,none\"\ : 0.47961630695443647,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n\ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.11858006042296072,\n\ \ \"exact_match_stderr,none\": 0.00847775132311359,\n \"alias\": \"\ \ - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.1986970684039088,\n \"exact_match_stderr,none\": 0.022810425277602825\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.07317073170731707,\n \"exact_match_stderr,none\": 0.023577005978097667\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.03787878787878788,\n \"exact_match_stderr,none\"\ : 0.016679279394712563\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.02142857142857143,\n \"exact_match_stderr,none\"\ : 0.008669434577665551\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.07142857142857142,\n \"exact_match_stderr,none\": 0.020820824576076338\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.3005181347150259,\n \"exact_match_stderr,none\"\ : 0.033088185944157515\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.05185185185185185,\n \"exact_match_stderr,none\": 0.019154368449050496\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.3734208776595745,\n \"acc_stderr,none\": 0.004409977709525806\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4193121693121693,\n\ \ \"acc_norm_stderr,none\": 0.017520624624081504,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.359375,\n \"acc_norm_stderr,none\": 0.0300473227657999\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.324,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ \ }\n}\n```" repo_url: https://huggingface.co/mergekit-community/mergekit-ties-ykqemwr leaderboard_url: '' point_of_contact: '' configs: - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_navigate data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_navigate_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_navigate_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_snarks data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_snarks_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_snarks_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_gpqa_extended data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_gpqa_extended_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_extended_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_gpqa_main data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_gpqa_main_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_main_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_ifeval data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_ifeval_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_ifeval_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_mmlu_pro data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_mmlu_pro_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_mmlu_pro_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_musr_object_placements data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_musr_object_placements_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_musr_object_placements_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T22_00_54.914140 path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T22-00-54.914140.jsonl' --- # Dataset Card for Evaluation run of mergekit-community/mergekit-ties-ykqemwr <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [mergekit-community/mergekit-ties-ykqemwr](https://huggingface.co/mergekit-community/mergekit-ties-ykqemwr) 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/mergekit-community__mergekit-ties-ykqemwr-details", name="mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T22-00-54.914140](https://huggingface.co/datasets/open-llm-leaderboard/mergekit-community__mergekit-ties-ykqemwr-details/blob/main/mergekit-community__mergekit-ties-ykqemwr/results_2024-12-25T22-00-54.914140.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": 0.2846580406654344, "prompt_level_strict_acc_stderr,none": 0.0194187691064861, "acc_norm,none": 0.4968218964846284, "acc_norm_stderr,none": 0.005359611407101173, "inst_level_strict_acc,none": 0.4352517985611511, "inst_level_strict_acc_stderr,none": "N/A", "acc,none": 0.3734208776595745, "acc_stderr,none": 0.004409977709525806, "prompt_level_loose_acc,none": 0.3345656192236599, "prompt_level_loose_acc_stderr,none": 0.02030469137804569, "inst_level_loose_acc,none": 0.47961630695443647, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.00847775132311359, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.543134872417983, "acc_norm_stderr,none": 0.006187798698597206, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.832, "acc_norm_stderr,none": 0.023692813205492536 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6203208556149733, "acc_norm_stderr,none": 0.03558443628801667 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.496, "acc_norm_stderr,none": 0.0316851985511992 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.472, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.748, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.392, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.541095890410959, "acc_norm_stderr,none": 0.041382249050673094 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6797752808988764, "acc_norm_stderr,none": 0.03506900770722058 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.14, "acc_norm_stderr,none": 0.021989409645240245 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.316, "acc_norm_stderr,none": 0.029462657598578648 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.03168215643141386 }, "leaderboard_gpqa": { "acc_norm,none": 0.3221476510067114, "acc_norm_stderr,none": 0.013550646507334637, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.31313131313131315, "acc_norm_stderr,none": 0.033042050878136546 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.31868131868131866, "acc_norm_stderr,none": 0.019959754728358932 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33035714285714285, "acc_norm_stderr,none": 0.022246398347131557 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.2846580406654344, "prompt_level_strict_acc_stderr,none": 0.0194187691064861, "inst_level_strict_acc,none": 0.4352517985611511, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.3345656192236599, "prompt_level_loose_acc_stderr,none": 0.02030469137804569, "inst_level_loose_acc,none": 0.47961630695443647, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.00847775132311359, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.1986970684039088, "exact_match_stderr,none": 0.022810425277602825 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.07317073170731707, "exact_match_stderr,none": 0.023577005978097667 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.03787878787878788, "exact_match_stderr,none": 0.016679279394712563 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.02142857142857143, "exact_match_stderr,none": 0.008669434577665551 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07142857142857142, "exact_match_stderr,none": 0.020820824576076338 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.3005181347150259, "exact_match_stderr,none": 0.033088185944157515 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.05185185185185185, "exact_match_stderr,none": 0.019154368449050496 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.3734208776595745, "acc_stderr,none": 0.004409977709525806 }, "leaderboard_musr": { "acc_norm,none": 0.4193121693121693, "acc_norm_stderr,none": 0.017520624624081504, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.359375, "acc_norm_stderr,none": 0.0300473227657999 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.324, "acc_norm_stderr,none": 0.029658294924545567 } }, "leaderboard": { "prompt_level_strict_acc,none": 0.2846580406654344, "prompt_level_strict_acc_stderr,none": 0.0194187691064861, "acc_norm,none": 0.4968218964846284, "acc_norm_stderr,none": 0.005359611407101173, "inst_level_strict_acc,none": 0.4352517985611511, "inst_level_strict_acc_stderr,none": "N/A", "acc,none": 0.3734208776595745, "acc_stderr,none": 0.004409977709525806, "prompt_level_loose_acc,none": 0.3345656192236599, "prompt_level_loose_acc_stderr,none": 0.02030469137804569, "inst_level_loose_acc,none": 0.47961630695443647, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.00847775132311359, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.543134872417983, "acc_norm_stderr,none": 0.006187798698597206, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.832, "acc_norm_stderr,none": 0.023692813205492536 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6203208556149733, "acc_norm_stderr,none": 0.03558443628801667 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.496, "acc_norm_stderr,none": 0.0316851985511992 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.472, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.748, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.392, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.541095890410959, "acc_norm_stderr,none": 0.041382249050673094 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6797752808988764, "acc_norm_stderr,none": 0.03506900770722058 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.14, "acc_norm_stderr,none": 0.021989409645240245 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.316, "acc_norm_stderr,none": 0.029462657598578648 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.03168215643141386 }, "leaderboard_gpqa": { "acc_norm,none": 0.3221476510067114, "acc_norm_stderr,none": 0.013550646507334637, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.31313131313131315, "acc_norm_stderr,none": 0.033042050878136546 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.31868131868131866, "acc_norm_stderr,none": 0.019959754728358932 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33035714285714285, "acc_norm_stderr,none": 0.022246398347131557 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.2846580406654344, "prompt_level_strict_acc_stderr,none": 0.0194187691064861, "inst_level_strict_acc,none": 0.4352517985611511, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.3345656192236599, "prompt_level_loose_acc_stderr,none": 0.02030469137804569, "inst_level_loose_acc,none": 0.47961630695443647, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.00847775132311359, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.1986970684039088, "exact_match_stderr,none": 0.022810425277602825 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.07317073170731707, "exact_match_stderr,none": 0.023577005978097667 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.03787878787878788, "exact_match_stderr,none": 0.016679279394712563 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.02142857142857143, "exact_match_stderr,none": 0.008669434577665551 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07142857142857142, "exact_match_stderr,none": 0.020820824576076338 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.3005181347150259, "exact_match_stderr,none": 0.033088185944157515 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.05185185185185185, "exact_match_stderr,none": 0.019154368449050496 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.3734208776595745, "acc_stderr,none": 0.004409977709525806 }, "leaderboard_musr": { "acc_norm,none": 0.4193121693121693, "acc_norm_stderr,none": 0.017520624624081504, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.359375, "acc_norm_stderr,none": 0.0300473227657999 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.324, "acc_norm_stderr,none": 0.029658294924545567 } } ``` ## 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. 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davidberenstein1957/my-distiset-b845cf19	davidberenstein1957	"2024-12-25T22:03:00Z"	0	[ "size_categories:1K<n<10K", "library:distilabel", "region:us", "synthetic", "distilabel", "rlaif", "datacraft" ]	null	"2024-12-25T22:02:57Z"	--- size_categories: 1K<n<10K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': business-and-industrial '1': books-and-literature '2': beauty-and-fitness '3': autos-and-vehicles '4': people-and-society '5': sports '6': shopping '7': online-communities '8': pets-and-animals '9': internet-and-telecom '10': home-and-garden '11': adult '12': science '13': food-and-drink '14': real-estate '15': news '16': jobs-and-education '17': health '18': hobbies-and-leisure '19': games '20': computers-and-electronics '21': arts-and-entertainment '22': travel-and-transportation '23': finance '24': law-and-government '25': sensitive-subjects splits: - name: train num_bytes: 557337 num_examples: 1000 download_size: 335830 dataset_size: 557337 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for my-distiset-b845cf19 This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/davidberenstein1957/my-distiset-b845cf19/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/davidberenstein1957/my-distiset-b845cf19/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "label": 17, "text": "Sexual health is a broad topic that involves physical, emotional, and social well-being. Proper sexual health can lead to better relationships and overall life satisfaction. It\u0027s important for individuals to understand the risks associated with certain behaviors and to practice safe sex to prevent sexually transmitted infections (STIs). Comprehensive education about human sexuality includes understanding consent, respecting individual boundaries, and knowing how to access appropriate healthcare services." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("davidberenstein1957/my-distiset-b845cf19", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("davidberenstein1957/my-distiset-b845cf19") ``` </details>
spiralworks/lg_domain_gen_2015_2020_test_4	spiralworks	"2024-12-25T22:35:28Z"	0	[ "region:us" ]	null	"2024-12-25T22:04:17Z"	--- dataset_info: features: - name: id dtype: string - name: note_id dtype: string - name: forum dtype: string - name: title dtype: string - name: authors sequence: string - name: venue dtype: string - name: year dtype: string - name: abstract dtype: string - name: keywords sequence: string - name: pdf_url dtype: string - name: forum_url dtype: string - name: forum_raw_text dtype: string - name: reviews_raw_text dtype: string - name: average_rating dtype: float64 - name: average_confidence dtype: float64 - name: reviews dtype: string splits: - name: train num_bytes: 106261028 num_examples: 2788 download_size: 52103061 dataset_size: 106261028 configs: - config_name: default data_files: - split: train path: data/train-* ---
ZhangShenao/metamath_filtered	ZhangShenao	"2024-12-25T22:24:01Z"	0	[ "region:us" ]	null	"2024-12-25T22:08:56Z"	--- dataset_info: features: - name: type dtype: string - name: response dtype: string - name: original_question dtype: string - name: query dtype: string splits: - name: train num_bytes: 338668193.79173416 num_examples: 362065 download_size: 173645299 dataset_size: 338668193.79173416 configs: - config_name: default data_files: - split: train path: data/train-* ---
BEE-spoke-data/bigpatent-all	BEE-spoke-data	"2024-12-25T22:51:42Z"	0	[ "task_categories:text2text-generation", "task_categories:summarization", "language:en", "license:cc-by-4.0", "region:us", "legal" ]	[ "text2text-generation", "summarization" ]	"2024-12-25T22:10:36Z"	--- dataset_info: features: - name: text dtype: string - name: summary dtype: string splits: - name: train num_bytes: 38364057181 num_examples: 1207222 - name: validation num_bytes: 2115665259 num_examples: 67068 - name: test num_bytes: 2129349762 num_examples: 67072 download_size: 17095133825 dataset_size: 42609072202 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* license: cc-by-4.0 task_categories: - text2text-generation - summarization language: - en tags: - legal source_dataset: NortheasternUniversity/big_patent --- # BEE-spoke-data/bigpatent-all Original [bigpatent](https://huggingface.co/datasets/NortheasternUniversity/big_patent) subset "all" converted to hf format, columns renamed, some cleaning applied to "summary" column.
darkmater/huggingface-smol-course-preference-tuning-dataset	darkmater	"2024-12-25T22:17:12Z"	0	[ "region:us" ]	null	"2024-12-25T22:17:11Z"	--- dataset_info: features: - name: instruction dtype: string - name: grouped_generation sequence: string - name: model_name dtype: string - name: distilabel_metadata struct: - name: raw_input_text_generation_0 list: - name: content dtype: string - name: role dtype: string - name: raw_input_text_generation_1 list: - name: content dtype: string - name: role dtype: string - name: raw_output_text_generation_0 dtype: string - name: raw_output_text_generation_1 dtype: string splits: - name: train num_bytes: 3063 num_examples: 1 download_size: 21829 dataset_size: 3063 configs: - config_name: default data_files: - split: train path: data/train-* ---
dogtooth/uf_tulu_3_uf_iter2_3	dogtooth	"2024-12-25T22:17:23Z"	0	[ "region:us" ]	null	"2024-12-25T22:17:12Z"	--- dataset_info: features: - name: prompt dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: model_completion dtype: string - name: reference_completion dtype: string splits: - name: train num_bytes: 1042377812 num_examples: 183405 download_size: 345497555 dataset_size: 1042377812 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/Daemontatox__RA_Reasoner-details	open-llm-leaderboard	"2024-12-25T22:20:38Z"	0	[ "region:us" ]	null	"2024-12-25T22:17:45Z"	--- pretty_name: Evaluation run of Daemontatox/RA_Reasoner dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Daemontatox/RA_Reasoner](https://huggingface.co/Daemontatox/RA_Reasoner)\nThe\ \ 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/Daemontatox__RA_Reasoner-details\"\ ,\n\tname=\"Daemontatox__RA_Reasoner__leaderboard_bbh_boolean_expressions\",\n\t\ split=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results from\ \ run 2024-12-25T22-17-44.601562](https://huggingface.co/datasets/open-llm-leaderboard/Daemontatox__RA_Reasoner-details/blob/main/Daemontatox__RA_Reasoner/results_2024-12-25T22-17-44.601562.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_loose_acc,none\": 0.657074340527578,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"acc_norm,none\": 0.5410559086781683,\n \"acc_norm_stderr,none\"\ : 0.005305430320587412,\n \"exact_match,none\": 0.20090634441087613,\n\ \ \"exact_match_stderr,none\": 0.010296205842383702,\n \"\ acc,none\": 0.43001994680851063,\n \"acc_stderr,none\": 0.004513602048699036,\n\ \ \"prompt_level_loose_acc,none\": 0.5415896487985212,\n \"\ prompt_level_loose_acc_stderr,none\": 0.021442010560476468,\n \"prompt_level_strict_acc,none\"\ : 0.5009242144177449,\n \"prompt_level_strict_acc_stderr,none\": 0.021516537387842545,\n\ \ \"inst_level_strict_acc,none\": 0.617505995203837,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6035410519007117,\n\ \ \"acc_norm_stderr,none\": 0.0061006515040985506,\n \"alias\"\ : \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ \ \"acc_norm,none\": 0.884,\n \"acc_norm_stderr,none\": 0.020293429803083823\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.6631016042780749,\n\ \ \"acc_norm_stderr,none\": 0.03465636737116503\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ ,\n \"acc_norm,none\": 0.624,\n \"acc_norm_stderr,none\":\ \ 0.03069633626739458\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \ \ \"acc_norm,none\": 0.684,\n \"acc_norm_stderr,none\": 0.02946265759857865\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\",\n \"acc_norm,none\": 0.62,\n\ \ \"acc_norm_stderr,none\": 0.030760116042626098\n },\n \ \ \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\":\ \ 0.030881038748993974\n },\n \"leaderboard_bbh_hyperbaton\": {\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\"\ : 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n },\n\ \ \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n },\n\ \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\":\ \ 0.030266288057359866\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.589041095890411,\n \"acc_norm_stderr,none\": 0.04085902451640228\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.708,\n \"acc_norm_stderr,none\": 0.028814320402205634\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.668,\n \ \ \"acc_norm_stderr,none\": 0.029844039047465857\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7247191011235955,\n \"acc_norm_stderr,none\"\ : 0.03357269922538229\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359866\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.52,\n\ \ \"acc_norm_stderr,none\": 0.03166085340849512\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.228,\n \"acc_norm_stderr,none\":\ \ 0.026587432487268498\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.352,\n \"acc_norm_stderr,none\":\ \ 0.030266288057359866\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\": 0.3313758389261745,\n\ \ \"acc_norm_stderr,none\": 0.013618675523707283,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3787878787878788,\n \"acc_norm_stderr,none\": 0.03456088731993742\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.34615384615384615,\n\ \ \"acc_norm_stderr,none\": 0.020378589274523313\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.2924107142857143,\n \"acc_norm_stderr,none\"\ : 0.02151461125992856\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.5009242144177449,\n \"prompt_level_strict_acc_stderr,none\": 0.02151653738784254,\n\ \ \"inst_level_strict_acc,none\": 0.617505995203837,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.5415896487985212,\n \"prompt_level_loose_acc_stderr,none\": 0.021442010560476468,\n\ \ \"inst_level_loose_acc,none\": 0.657074340527578,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\"\n },\n \"leaderboard_math_hard\": {\n \"exact_match,none\"\ : 0.20090634441087613,\n \"exact_match_stderr,none\": 0.010296205842383702,\n\ \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_algebra_hard\",\n \ \ \"exact_match,none\": 0.38436482084690554,\n \"exact_match_stderr,none\"\ : 0.027808196077636186\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\",\n \ \ \"exact_match,none\": 0.15447154471544716,\n \"exact_match_stderr,none\"\ : 0.03271963447587711\n },\n \"leaderboard_math_geometry_hard\": {\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\",\n \"\ exact_match,none\": 0.07575757575757576,\n \"exact_match_stderr,none\"\ : 0.023119068741795586\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n\ \ \"exact_match,none\": 0.04285714285714286,\n \"exact_match_stderr,none\"\ : 0.012125450612513602\n },\n \"leaderboard_math_num_theory_hard\"\ : {\n \"alias\": \" - leaderboard_math_num_theory_hard\",\n \ \ \"exact_match,none\": 0.2077922077922078,\n \"exact_match_stderr,none\"\ : 0.03280110453395389\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \ \ \"exact_match,none\": 0.35751295336787564,\n \"exact_match_stderr,none\"\ : 0.03458816042181008\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.044444444444444446,\n \"exact_match_stderr,none\"\ : 0.01780263602032457\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.43001994680851063,\n\ \ \"acc_stderr,none\": 0.004513602048699036\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.3955026455026455,\n \"acc_norm_stderr,none\"\ : 0.017448683517391476,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.528,\n\ \ \"acc_norm_stderr,none\": 0.031636489531544396\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.2890625,\n \"acc_norm_stderr,none\"\ : 0.02838843806999465\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\": 0.03063032594455827\n\ \ }\n },\n \"leaderboard\": {\n \"inst_level_loose_acc,none\"\ : 0.657074340527578,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \ \ \"acc_norm,none\": 0.5410559086781683,\n \"acc_norm_stderr,none\"\ : 0.005305430320587412,\n \"exact_match,none\": 0.20090634441087613,\n \ \ \"exact_match_stderr,none\": 0.010296205842383702,\n \"acc,none\"\ : 0.43001994680851063,\n \"acc_stderr,none\": 0.004513602048699036,\n \ \ \"prompt_level_loose_acc,none\": 0.5415896487985212,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.021442010560476468,\n \"prompt_level_strict_acc,none\": 0.5009242144177449,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.021516537387842545,\n \ \ \"inst_level_strict_acc,none\": 0.617505995203837,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6035410519007117,\n \"acc_norm_stderr,none\"\ : 0.0061006515040985506,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ ,\n \"acc_norm,none\": 0.884,\n \"acc_norm_stderr,none\": 0.020293429803083823\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6631016042780749,\n \"acc_norm_stderr,none\"\ : 0.03465636737116503\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.624,\n \"acc_norm_stderr,none\": 0.03069633626739458\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.684,\n \"acc_norm_stderr,none\": 0.02946265759857865\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993974\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359866\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.589041095890411,\n\ \ \"acc_norm_stderr,none\": 0.04085902451640228\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.708,\n \"acc_norm_stderr,none\": 0.028814320402205634\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465857\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7247191011235955,\n \"acc_norm_stderr,none\"\ : 0.03357269922538229\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359866\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.228,\n \"acc_norm_stderr,none\": 0.026587432487268498\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.352,\n \"acc_norm_stderr,none\": 0.030266288057359866\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\": 0.3313758389261745,\n\ \ \"acc_norm_stderr,none\": 0.013618675523707283,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3787878787878788,\n\ \ \"acc_norm_stderr,none\": 0.03456088731993742\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.34615384615384615,\n \"acc_norm_stderr,none\": 0.020378589274523313\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.2924107142857143,\n \"acc_norm_stderr,none\"\ : 0.02151461125992856\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.5009242144177449,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.02151653738784254,\n \ \ \"inst_level_strict_acc,none\": 0.617505995203837,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.5415896487985212,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.021442010560476468,\n \"inst_level_loose_acc,none\"\ : 0.657074340527578,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.20090634441087613,\n\ \ \"exact_match_stderr,none\": 0.010296205842383702,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.38436482084690554,\n \"exact_match_stderr,none\": 0.027808196077636186\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.15447154471544716,\n \"exact_match_stderr,none\": 0.03271963447587711\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.07575757575757576,\n \"exact_match_stderr,none\"\ : 0.023119068741795586\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.04285714285714286,\n \"exact_match_stderr,none\"\ : 0.012125450612513602\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.2077922077922078,\n \"exact_match_stderr,none\": 0.03280110453395389\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.35751295336787564,\n \"exact_match_stderr,none\"\ : 0.03458816042181008\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.044444444444444446,\n \"exact_match_stderr,none\": 0.01780263602032457\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.43001994680851063,\n \"acc_stderr,none\": 0.004513602048699036\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.3955026455026455,\n\ \ \"acc_norm_stderr,none\": 0.017448683517391476,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.2890625,\n \"acc_norm_stderr,none\": 0.02838843806999465\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\": 0.03063032594455827\n\ \ }\n}\n```" repo_url: https://huggingface.co/Daemontatox/RA_Reasoner leaderboard_url: '' point_of_contact: '' configs: - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_navigate data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_navigate_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_navigate_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_snarks data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_snarks_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_snarks_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_gpqa_extended data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_gpqa_extended_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_extended_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_gpqa_main data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_gpqa_main_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_main_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_ifeval data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_ifeval_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_ifeval_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_mmlu_pro data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_mmlu_pro_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_mmlu_pro_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_musr_object_placements data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_musr_object_placements_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_musr_object_placements_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T22_17_44.601562 path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T22-17-44.601562.jsonl' --- # Dataset Card for Evaluation run of Daemontatox/RA_Reasoner <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Daemontatox/RA_Reasoner](https://huggingface.co/Daemontatox/RA_Reasoner) 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/Daemontatox__RA_Reasoner-details", name="Daemontatox__RA_Reasoner__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T22-17-44.601562](https://huggingface.co/datasets/open-llm-leaderboard/Daemontatox__RA_Reasoner-details/blob/main/Daemontatox__RA_Reasoner/results_2024-12-25T22-17-44.601562.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_loose_acc,none": 0.657074340527578, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.5410559086781683, "acc_norm_stderr,none": 0.005305430320587412, "exact_match,none": 0.20090634441087613, "exact_match_stderr,none": 0.010296205842383702, "acc,none": 0.43001994680851063, "acc_stderr,none": 0.004513602048699036, "prompt_level_loose_acc,none": 0.5415896487985212, "prompt_level_loose_acc_stderr,none": 0.021442010560476468, "prompt_level_strict_acc,none": 0.5009242144177449, "prompt_level_strict_acc_stderr,none": 0.021516537387842545, "inst_level_strict_acc,none": 0.617505995203837, "inst_level_strict_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6035410519007117, "acc_norm_stderr,none": 0.0061006515040985506, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.884, "acc_norm_stderr,none": 0.020293429803083823 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6631016042780749, "acc_norm_stderr,none": 0.03465636737116503 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.624, "acc_norm_stderr,none": 0.03069633626739458 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.684, "acc_norm_stderr,none": 0.02946265759857865 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.612, "acc_norm_stderr,none": 0.030881038748993974 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.589041095890411, "acc_norm_stderr,none": 0.04085902451640228 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.708, "acc_norm_stderr,none": 0.028814320402205634 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7247191011235955, "acc_norm_stderr,none": 0.03357269922538229 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.228, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.352, "acc_norm_stderr,none": 0.030266288057359866 }, "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": 0.3313758389261745, "acc_norm_stderr,none": 0.013618675523707283, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3787878787878788, "acc_norm_stderr,none": 0.03456088731993742 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.34615384615384615, "acc_norm_stderr,none": 0.020378589274523313 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.2924107142857143, "acc_norm_stderr,none": 0.02151461125992856 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.5009242144177449, "prompt_level_strict_acc_stderr,none": 0.02151653738784254, "inst_level_strict_acc,none": 0.617505995203837, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.5415896487985212, "prompt_level_loose_acc_stderr,none": 0.021442010560476468, "inst_level_loose_acc,none": 0.657074340527578, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.20090634441087613, "exact_match_stderr,none": 0.010296205842383702, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.38436482084690554, "exact_match_stderr,none": 0.027808196077636186 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.15447154471544716, "exact_match_stderr,none": 0.03271963447587711 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.07575757575757576, "exact_match_stderr,none": 0.023119068741795586 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.04285714285714286, "exact_match_stderr,none": 0.012125450612513602 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.2077922077922078, "exact_match_stderr,none": 0.03280110453395389 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.35751295336787564, "exact_match_stderr,none": 0.03458816042181008 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.044444444444444446, "exact_match_stderr,none": 0.01780263602032457 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.43001994680851063, "acc_stderr,none": 0.004513602048699036 }, "leaderboard_musr": { "acc_norm,none": 0.3955026455026455, "acc_norm_stderr,none": 0.017448683517391476, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2890625, "acc_norm_stderr,none": 0.02838843806999465 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.03063032594455827 } }, "leaderboard": { "inst_level_loose_acc,none": 0.657074340527578, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.5410559086781683, "acc_norm_stderr,none": 0.005305430320587412, "exact_match,none": 0.20090634441087613, "exact_match_stderr,none": 0.010296205842383702, "acc,none": 0.43001994680851063, "acc_stderr,none": 0.004513602048699036, "prompt_level_loose_acc,none": 0.5415896487985212, "prompt_level_loose_acc_stderr,none": 0.021442010560476468, "prompt_level_strict_acc,none": 0.5009242144177449, "prompt_level_strict_acc_stderr,none": 0.021516537387842545, "inst_level_strict_acc,none": 0.617505995203837, "inst_level_strict_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6035410519007117, "acc_norm_stderr,none": 0.0061006515040985506, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.884, "acc_norm_stderr,none": 0.020293429803083823 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6631016042780749, "acc_norm_stderr,none": 0.03465636737116503 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.624, "acc_norm_stderr,none": 0.03069633626739458 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.684, "acc_norm_stderr,none": 0.02946265759857865 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.612, "acc_norm_stderr,none": 0.030881038748993974 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.589041095890411, "acc_norm_stderr,none": 0.04085902451640228 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.708, "acc_norm_stderr,none": 0.028814320402205634 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7247191011235955, "acc_norm_stderr,none": 0.03357269922538229 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.228, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.352, "acc_norm_stderr,none": 0.030266288057359866 }, "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": 0.3313758389261745, "acc_norm_stderr,none": 0.013618675523707283, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3787878787878788, "acc_norm_stderr,none": 0.03456088731993742 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.34615384615384615, "acc_norm_stderr,none": 0.020378589274523313 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.2924107142857143, "acc_norm_stderr,none": 0.02151461125992856 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.5009242144177449, "prompt_level_strict_acc_stderr,none": 0.02151653738784254, "inst_level_strict_acc,none": 0.617505995203837, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.5415896487985212, "prompt_level_loose_acc_stderr,none": 0.021442010560476468, "inst_level_loose_acc,none": 0.657074340527578, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.20090634441087613, "exact_match_stderr,none": 0.010296205842383702, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.38436482084690554, "exact_match_stderr,none": 0.027808196077636186 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.15447154471544716, "exact_match_stderr,none": 0.03271963447587711 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.07575757575757576, "exact_match_stderr,none": 0.023119068741795586 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.04285714285714286, "exact_match_stderr,none": 0.012125450612513602 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.2077922077922078, "exact_match_stderr,none": 0.03280110453395389 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.35751295336787564, "exact_match_stderr,none": 0.03458816042181008 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.044444444444444446, "exact_match_stderr,none": 0.01780263602032457 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.43001994680851063, "acc_stderr,none": 0.004513602048699036 }, "leaderboard_musr": { "acc_norm,none": 0.3955026455026455, "acc_norm_stderr,none": 0.017448683517391476, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2890625, "acc_norm_stderr,none": 0.02838843806999465 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.03063032594455827 } } ``` ## 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.). 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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]
BEE-spoke-data/reddit-title-body-hf	BEE-spoke-data	"2024-12-25T22:56:34Z"	0	[ "task_categories:text-generation", "task_categories:text2text-generation", "license:odc-by", "region:us" ]	[ "text-generation", "text2text-generation" ]	"2024-12-25T22:20:06Z"	--- dataset_info: features: - name: title dtype: string - name: body dtype: string - name: subreddit dtype: string splits: - name: train num_bytes: 93764255230 num_examples: 127445911 download_size: 62576730319 dataset_size: 93764255230 configs: - config_name: default data_files: - split: train path: data/train-* license: odc-by task_categories: - text-generation - text2text-generation --- # reddit-title-body-hf [sentence-transformers/reddit-title-body](https://huggingface.co/datasets/sentence-transformers/reddit-title-body) in parquet format
MedAliFarhat/Mosaics_Final_Version	MedAliFarhat	"2024-12-25T22:27:19Z"	0	[ "region:us" ]	null	"2024-12-25T22:23:55Z"	--- dataset_info: features: - name: messages dtype: string - name: images dtype: image splits: - name: train num_bytes: 586915884.1044776 num_examples: 180 - name: test num_bytes: 40066940.895522386 num_examples: 21 download_size: 625313984 dataset_size: 626982825.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
martineden/structurized_squad	martineden	"2024-12-25T23:01:46Z"	0	[ "task_categories:question-answering", "language:en", "license:apache-2.0", "size_categories:10K<n<100K", "arxiv:2407.16434", "arxiv:1606.05250", "region:us", "squad", "question-answering", "structurization" ]	[ "question-answering" ]	"2024-12-25T22:26:15Z"	--- dataset_info: features: - name: squad_id dtype: string - name: title dtype: string - name: context dtype: string - name: structurized_context dtype: string - name: question dtype: string - name: answer_text dtype: string - name: answer_start_index dtype: int64 - name: structurized_answer_start_index dtype: int64 - name: answers struct: - name: answer_start sequence: int32 - name: text sequence: string - name: structurized_answers struct: - name: answer_start sequence: int64 - name: text sequence: string splits: - name: train num_bytes: 183235360 num_examples: 87599 - name: validation num_bytes: 23392412 num_examples: 10570 download_size: 35504447 dataset_size: 206627772 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* license: apache-2.0 task_categories: - question-answering size_categories: - 10K<n<100K language: - en tags: - squad - question-answering - structurization --- # Structurized SQuAD Dataset This dataset is derived from Rajpurkar/SQuAD dataset by applying the structurization process described in the "Enhancing LLM's Cognition via Structurization" (Liu et al., 2024) article. To check the structurization process details: https://arxiv.org/abs/2407.16434 ## Construction process * For the structurization process, Llama-3.1-8B-Instruct and Llama-3.3-70B-Instruct models were used. * Some structurized context data may missing some answers or information. * Structurized answer start indexes are obtained via Python string methods (e.g. .find()). ## Description * The dataset can be used in place of SQuAD dataset, having the same columns and values. * In addition to SQuAD data, there are extra columns: i. "answer_text" and "answer_start_index" are the values derived from "answers" column of SQuAD. ii. "structurized_context" is derived from "context" column via applying structurization process. iii. "structurized_answer_start_index" is obtained via Python string methods from "structurized_context", searching "answer_text" within it. iv. "structurized_answers" is generated from "answer_text" and "structurized_answer_start_index", to comply with the format of original "answers" column, so that preprocessing should be similar to the SQuAD dataset. ## Suggestions: * If you want to fine-tune model based on structurized contexts on extractive question-answering task, structurized_answer_start_index = -1 data might be filtered out. * Some structurized contexts has the answer within themselves, but identified as "-1" (no answer) due to the punctuation issues in the output of LLMs (e.g. "words, more words, and words"; the last comma causes that issue.). ## References: Liu, K., Fu, Z., Chen, C., Zhang, W., Jiang, R., Zhou, F., Chen, Y., Wu, Y., & Ye, J. (2024). Enhancing LLM's Cognition via Structurization. http://arxiv.org/abs/2407.16434 Meta. (2024a, July 23). Llama-3.1-8B-Instruct Model Card. Retrieved from https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/MODEL_CARD.md Meta. (2024b, December 6). Llama-3.3-70B-Instruct Model Card. Retrieved from https://github.com/meta-llama/llama-models/blob/main/models/llama3_3/MODEL_CARD.md Rajpurkar, P., Zhang, J., Lopyrev, K., & Liang, P. (2016). SQuAD: 100,000+ Questions for Machine Comprehension of Text. https://arxiv.org/abs/1606.05250
meteorinc/koch_test	meteorinc	"2024-12-25T22:26:22Z"	0	[ "task_categories:robotics", "license:apache-2.0", "region:us", "LeRobot", "tutorial" ]	[ "robotics" ]	"2024-12-25T22:26:18Z"	--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - tutorial configs: - config_name: default data_files: data//.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - Homepage: [More Information Needed] - Paper: [More Information Needed] - License: apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "koch", "total_episodes": 2, "total_frames": 1166, "total_tasks": 1, "total_videos": 4, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:2" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation BibTeX: ```bibtex [More Information Needed] ```
1231czx/llama31_40k_ep3tmp10	1231czx	"2024-12-25T22:29:35Z"	0	[ "region:us" ]	null	"2024-12-25T22:29:33Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 20641585 num_examples: 5000 download_size: 8230693 dataset_size: 20641585 configs: - config_name: default data_files: - split: train path: data/train-* ---
dgambettavuw/D_gen2_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw	dgambettavuw	"2024-12-25T22:29:47Z"	0	[ "region:us" ]	null	"2024-12-25T22:29:43Z"	--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 801484 num_examples: 1000 download_size: 426509 dataset_size: 801484 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama31_40k_ep3tmp07	1231czx	"2024-12-25T22:30:09Z"	0	[ "region:us" ]	null	"2024-12-25T22:30:07Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 57964880 num_examples: 15000 download_size: 19888362 dataset_size: 57964880 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama31_40k_ep3tmp0	1231czx	"2024-12-25T22:30:24Z"	0	[ "region:us" ]	null	"2024-12-25T22:30:23Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 19109118 num_examples: 5000 download_size: 5954243 dataset_size: 19109118 configs: - config_name: default data_files: - split: train path: data/train-* ---
Shwetasingh123/llama_8B_4_bit_math_mean_logprob	Shwetasingh123	"2024-12-25T22:34:07Z"	0	[ "region:us" ]	null	"2024-12-25T22:34:05Z"	--- dataset_info: features: - name: problem dtype: string - name: answer dtype: string - name: unique_id dtype: string - name: generated_chain dtype: string - name: generated_answer dtype: string - name: is_correct dtype: bool - name: epoch dtype: int64 - name: mean_logprob dtype: float64 splits: - name: train num_bytes: 3528306 num_examples: 818 download_size: 2301890 dataset_size: 3528306 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr10k_ep3tmp10	1231czx	"2024-12-25T22:35:19Z"	0	[ "region:us" ]	null	"2024-12-25T22:35:18Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 19606359 num_examples: 5000 download_size: 7751560 dataset_size: 19606359 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama31_chat_format_20k_ep3tmp10	1231czx	"2024-12-25T22:36:33Z"	0	[ "region:us" ]	null	"2024-12-25T22:36:32Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18773857 num_examples: 5000 download_size: 7282699 dataset_size: 18773857 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/qingy2024__Fusion4-14B-Instruct-details	open-llm-leaderboard	"2024-12-25T22:41:20Z"	0	[ "region:us" ]	null	"2024-12-25T22:38:09Z"	--- pretty_name: Evaluation run of qingy2024/Fusion4-14B-Instruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [qingy2024/Fusion4-14B-Instruct](https://huggingface.co/qingy2024/Fusion4-14B-Instruct)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/qingy2024__Fusion4-14B-Instruct-details\"\ ,\n\tname=\"qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T22-38-08.784726](https://huggingface.co/datasets/open-llm-leaderboard/qingy2024__Fusion4-14B-Instruct-details/blob/main/qingy2024__Fusion4-14B-Instruct/results_2024-12-25T22-38-08.784726.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\": 0.5193650265957447,\n \"acc_stderr,none\"\ : 0.004555050244694195,\n \"exact_match,none\": 0.3391238670694864,\n\ \ \"exact_match_stderr,none\": 0.011834946738836881,\n \"\ inst_level_strict_acc,none\": 0.8033573141486811,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"acc_norm,none\": 0.580749772992606,\n \"acc_norm_stderr,none\"\ : 0.005096783365172785,\n \"prompt_level_loose_acc,none\": 0.744916820702403,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.018758491950414184,\n \ \ \"prompt_level_strict_acc,none\": 0.7264325323475046,\n \"\ prompt_level_strict_acc_stderr,none\": 0.019183727107392846,\n \"inst_level_loose_acc,none\"\ : 0.8177458033573142,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6521437250477348,\n \"acc_norm_stderr,none\"\ : 0.005772767567151319,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.9,\n\ \ \"acc_norm_stderr,none\": 0.01901172751573434\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6470588235294118,\n \"acc_norm_stderr,none\"\ : 0.03504019983419238\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.684,\n \"acc_norm_stderr,none\": 0.02946265759857865\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\": 0.664,\n \"acc_norm_stderr,none\":\ \ 0.029933259094191533\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.76,\n \ \ \"acc_norm_stderr,none\": 0.027065293652238982\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\":\ \ 0.030491555220405475\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\":\ \ 0.030993197854577898\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\ ,\n \"acc_norm,none\": 0.948,\n \"acc_norm_stderr,none\":\ \ 0.014070391025641678\n },\n \"leaderboard_bbh_movie_recommendation\"\ : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \ \ \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \"\ \ - leaderboard_bbh_navigate\",\n \"acc_norm,none\": 0.728,\n \ \ \"acc_norm_stderr,none\": 0.028200088296309975\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.416,\n \"acc_norm_stderr,none\": 0.031235856237014505\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6643835616438356,\n \"acc_norm_stderr,none\": 0.039214533254314086\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\": 0.02496069198917196\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\"\ : 0.624,\n \"acc_norm_stderr,none\": 0.03069633626739458\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.8146067415730337,\n \"acc_norm_stderr,none\"\ : 0.029210186884630146\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.856,\n\ \ \"acc_norm_stderr,none\": 0.022249407735450245\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\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\": 0.308,\n \"acc_norm_stderr,none\":\ \ 0.02925692860650181\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.33053691275167785,\n\ \ \"acc_norm_stderr,none\": 0.013641593555038299,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3333333333333333,\n \"acc_norm_stderr,none\": 0.033586181457325226\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.326007326007326,\n\ \ \"acc_norm_stderr,none\": 0.0200790433174674\n },\n \"\ leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33482142857142855,\n \"acc_norm_stderr,none\"\ : 0.02232142857142857\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7264325323475046,\n \"prompt_level_strict_acc_stderr,none\": 0.019183727107392846,\n\ \ \"inst_level_strict_acc,none\": 0.8033573141486811,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.744916820702403,\n \"prompt_level_loose_acc_stderr,none\": 0.018758491950414184,\n\ \ \"inst_level_loose_acc,none\": 0.8177458033573142,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.3391238670694864,\n \"exact_match_stderr,none\"\ : 0.011834946738836881,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.6091205211726385,\n\ \ \"exact_match_stderr,none\": 0.027894098976471507\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.3089430894308943,\n \"exact_match_stderr,none\": 0.04183273258787621\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.19696969696969696,\n\ \ \"exact_match_stderr,none\": 0.03474801718164943\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\": \"\ \ - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.11428571428571428,\n \"exact_match_stderr,none\": 0.019047619047619046\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.3181818181818182,\n\ \ \"exact_match_stderr,none\": 0.03765531225361428\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.5233160621761658,\n \"exact_match_stderr,none\"\ : 0.03604513672442202\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.11851851851851852,\n \"exact_match_stderr,none\"\ : 0.027922050250639006\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.5193650265957447,\n\ \ \"acc_stderr,none\": 0.004555050244694195\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4312169312169312,\n \"acc_norm_stderr,none\"\ : 0.017413586664944487,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.576,\n\ \ \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.26171875,\n \"acc_norm_stderr,none\"\ : 0.027526959754524398\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ \ }\n },\n \"leaderboard\": {\n \"acc,none\": 0.5193650265957447,\n\ \ \"acc_stderr,none\": 0.004555050244694195,\n \"exact_match,none\"\ : 0.3391238670694864,\n \"exact_match_stderr,none\": 0.011834946738836881,\n\ \ \"inst_level_strict_acc,none\": 0.8033573141486811,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"acc_norm,none\": 0.580749772992606,\n \"acc_norm_stderr,none\"\ : 0.005096783365172785,\n \"prompt_level_loose_acc,none\": 0.744916820702403,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.018758491950414184,\n \ \ \"prompt_level_strict_acc,none\": 0.7264325323475046,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.019183727107392846,\n \"inst_level_loose_acc,none\": 0.8177458033573142,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6521437250477348,\n\ \ \"acc_norm_stderr,none\": 0.005772767567151319,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ : 0.9,\n \"acc_norm_stderr,none\": 0.01901172751573434\n },\n \"leaderboard_bbh_causal_judgement\"\ : {\n \"alias\": \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\"\ : 0.6470588235294118,\n \"acc_norm_stderr,none\": 0.03504019983419238\n \ \ },\n \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" -\ \ leaderboard_bbh_date_understanding\",\n \"acc_norm,none\": 0.684,\n \ \ \"acc_norm_stderr,none\": 0.02946265759857865\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\"\ : 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\n },\n \"\ leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.948,\n \"acc_norm_stderr,none\": 0.014070391025641678\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.728,\n \"acc_norm_stderr,none\": 0.028200088296309975\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.416,\n \"acc_norm_stderr,none\": 0.031235856237014505\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6643835616438356,\n\ \ \"acc_norm_stderr,none\": 0.039214533254314086\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\": 0.02496069198917196\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\": 0.624,\n \"acc_norm_stderr,none\": 0.03069633626739458\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.8146067415730337,\n \"acc_norm_stderr,none\"\ : 0.029210186884630146\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \"\ acc_norm,none\": 0.856,\n \"acc_norm_stderr,none\": 0.022249407735450245\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\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\": 0.308,\n \"acc_norm_stderr,none\": 0.02925692860650181\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.33053691275167785,\n\ \ \"acc_norm_stderr,none\": 0.013641593555038299,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3333333333333333,\n\ \ \"acc_norm_stderr,none\": 0.033586181457325226\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.326007326007326,\n \"acc_norm_stderr,none\": 0.0200790433174674\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33482142857142855,\n \"acc_norm_stderr,none\"\ : 0.02232142857142857\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7264325323475046,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.019183727107392846,\n \ \ \"inst_level_strict_acc,none\": 0.8033573141486811,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.744916820702403,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.018758491950414184,\n \"inst_level_loose_acc,none\"\ : 0.8177458033573142,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.3391238670694864,\n\ \ \"exact_match_stderr,none\": 0.011834946738836881,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.6091205211726385,\n \"exact_match_stderr,none\": 0.027894098976471507\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.3089430894308943,\n \"exact_match_stderr,none\": 0.04183273258787621\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.19696969696969696,\n \"exact_match_stderr,none\"\ : 0.03474801718164943\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.11428571428571428,\n \"exact_match_stderr,none\"\ : 0.019047619047619046\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.3181818181818182,\n \"exact_match_stderr,none\": 0.03765531225361428\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.5233160621761658,\n \"exact_match_stderr,none\"\ : 0.03604513672442202\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.11851851851851852,\n \"exact_match_stderr,none\": 0.027922050250639006\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.5193650265957447,\n \"acc_stderr,none\": 0.004555050244694195\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4312169312169312,\n\ \ \"acc_norm_stderr,none\": 0.017413586664944487,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.26171875,\n \"acc_norm_stderr,none\": 0.027526959754524398\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ \ }\n}\n```" repo_url: https://huggingface.co/qingy2024/Fusion4-14B-Instruct leaderboard_url: '' point_of_contact: '' configs: - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_navigate data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_navigate_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_navigate_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_snarks data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_snarks_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_snarks_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_gpqa_extended data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_gpqa_extended_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_extended_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_gpqa_main data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_gpqa_main_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_main_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_ifeval data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_ifeval_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_ifeval_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_mmlu_pro data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_mmlu_pro_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_mmlu_pro_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_musr_object_placements data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_musr_object_placements_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_musr_object_placements_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T22_38_08.784726 path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T22-38-08.784726.jsonl' --- # Dataset Card for Evaluation run of qingy2024/Fusion4-14B-Instruct <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [qingy2024/Fusion4-14B-Instruct](https://huggingface.co/qingy2024/Fusion4-14B-Instruct) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/qingy2024__Fusion4-14B-Instruct-details", name="qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T22-38-08.784726](https://huggingface.co/datasets/open-llm-leaderboard/qingy2024__Fusion4-14B-Instruct-details/blob/main/qingy2024__Fusion4-14B-Instruct/results_2024-12-25T22-38-08.784726.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": 0.5193650265957447, "acc_stderr,none": 0.004555050244694195, "exact_match,none": 0.3391238670694864, "exact_match_stderr,none": 0.011834946738836881, "inst_level_strict_acc,none": 0.8033573141486811, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.580749772992606, "acc_norm_stderr,none": 0.005096783365172785, "prompt_level_loose_acc,none": 0.744916820702403, "prompt_level_loose_acc_stderr,none": 0.018758491950414184, "prompt_level_strict_acc,none": 0.7264325323475046, "prompt_level_strict_acc_stderr,none": 0.019183727107392846, "inst_level_loose_acc,none": 0.8177458033573142, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6521437250477348, "acc_norm_stderr,none": 0.005772767567151319, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.9, "acc_norm_stderr,none": 0.01901172751573434 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6470588235294118, "acc_norm_stderr,none": 0.03504019983419238 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.684, "acc_norm_stderr,none": 0.02946265759857865 }, "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": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.948, "acc_norm_stderr,none": 0.014070391025641678 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.732, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.416, "acc_norm_stderr,none": 0.031235856237014505 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6643835616438356, "acc_norm_stderr,none": 0.039214533254314086 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "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": 0.624, "acc_norm_stderr,none": 0.03069633626739458 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8146067415730337, "acc_norm_stderr,none": 0.029210186884630146 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.856, "acc_norm_stderr,none": 0.022249407735450245 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "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": 0.308, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_gpqa": { "acc_norm,none": 0.33053691275167785, "acc_norm_stderr,none": 0.013641593555038299, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3333333333333333, "acc_norm_stderr,none": 0.033586181457325226 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.326007326007326, "acc_norm_stderr,none": 0.0200790433174674 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33482142857142855, "acc_norm_stderr,none": 0.02232142857142857 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7264325323475046, "prompt_level_strict_acc_stderr,none": 0.019183727107392846, "inst_level_strict_acc,none": 0.8033573141486811, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.744916820702403, "prompt_level_loose_acc_stderr,none": 0.018758491950414184, "inst_level_loose_acc,none": 0.8177458033573142, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.3391238670694864, "exact_match_stderr,none": 0.011834946738836881, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.6091205211726385, "exact_match_stderr,none": 0.027894098976471507 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.3089430894308943, "exact_match_stderr,none": 0.04183273258787621 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.19696969696969696, "exact_match_stderr,none": 0.03474801718164943 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.11428571428571428, "exact_match_stderr,none": 0.019047619047619046 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.3181818181818182, "exact_match_stderr,none": 0.03765531225361428 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.5233160621761658, "exact_match_stderr,none": 0.03604513672442202 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.11851851851851852, "exact_match_stderr,none": 0.027922050250639006 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.5193650265957447, "acc_stderr,none": 0.004555050244694195 }, "leaderboard_musr": { "acc_norm,none": 0.4312169312169312, "acc_norm_stderr,none": 0.017413586664944487, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.26171875, "acc_norm_stderr,none": 0.027526959754524398 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004 } }, "leaderboard": { "acc,none": 0.5193650265957447, "acc_stderr,none": 0.004555050244694195, "exact_match,none": 0.3391238670694864, "exact_match_stderr,none": 0.011834946738836881, "inst_level_strict_acc,none": 0.8033573141486811, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.580749772992606, "acc_norm_stderr,none": 0.005096783365172785, "prompt_level_loose_acc,none": 0.744916820702403, "prompt_level_loose_acc_stderr,none": 0.018758491950414184, "prompt_level_strict_acc,none": 0.7264325323475046, "prompt_level_strict_acc_stderr,none": 0.019183727107392846, "inst_level_loose_acc,none": 0.8177458033573142, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6521437250477348, "acc_norm_stderr,none": 0.005772767567151319, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.9, "acc_norm_stderr,none": 0.01901172751573434 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6470588235294118, "acc_norm_stderr,none": 0.03504019983419238 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.684, "acc_norm_stderr,none": 0.02946265759857865 }, "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": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.948, "acc_norm_stderr,none": 0.014070391025641678 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.732, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.416, "acc_norm_stderr,none": 0.031235856237014505 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6643835616438356, "acc_norm_stderr,none": 0.039214533254314086 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "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": 0.624, "acc_norm_stderr,none": 0.03069633626739458 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8146067415730337, "acc_norm_stderr,none": 0.029210186884630146 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.856, "acc_norm_stderr,none": 0.022249407735450245 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "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": 0.308, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_gpqa": { "acc_norm,none": 0.33053691275167785, "acc_norm_stderr,none": 0.013641593555038299, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3333333333333333, "acc_norm_stderr,none": 0.033586181457325226 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.326007326007326, "acc_norm_stderr,none": 0.0200790433174674 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33482142857142855, "acc_norm_stderr,none": 0.02232142857142857 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7264325323475046, "prompt_level_strict_acc_stderr,none": 0.019183727107392846, "inst_level_strict_acc,none": 0.8033573141486811, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.744916820702403, "prompt_level_loose_acc_stderr,none": 0.018758491950414184, "inst_level_loose_acc,none": 0.8177458033573142, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.3391238670694864, "exact_match_stderr,none": 0.011834946738836881, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.6091205211726385, "exact_match_stderr,none": 0.027894098976471507 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.3089430894308943, "exact_match_stderr,none": 0.04183273258787621 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.19696969696969696, "exact_match_stderr,none": 0.03474801718164943 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.11428571428571428, "exact_match_stderr,none": 0.019047619047619046 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.3181818181818182, "exact_match_stderr,none": 0.03765531225361428 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.5233160621761658, "exact_match_stderr,none": 0.03604513672442202 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.11851851851851852, "exact_match_stderr,none": 0.027922050250639006 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.5193650265957447, "acc_stderr,none": 0.004555050244694195 }, "leaderboard_musr": { "acc_norm,none": 0.4312169312169312, "acc_norm_stderr,none": 0.017413586664944487, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.26171875, "acc_norm_stderr,none": 0.027526959754524398 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - 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lomov/29labels_v1	lomov	"2024-12-25T22:39:26Z"	0	[ "license:apache-2.0", "region:us" ]	null	"2024-12-25T22:38:42Z"	--- license: apache-2.0 ---
open-llm-leaderboard/Daemontatox__PathfinderAI-details	open-llm-leaderboard	"2024-12-25T22:42:20Z"	0	[ "region:us" ]	null	"2024-12-25T22:39:31Z"	--- pretty_name: Evaluation run of Daemontatox/PathfinderAI dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Daemontatox/PathfinderAI](https://huggingface.co/Daemontatox/PathfinderAI)\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/Daemontatox__PathfinderAI-details\"\ ,\n\tname=\"Daemontatox__PathfinderAI__leaderboard_bbh_boolean_expressions\",\n\t\ split=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results from\ \ run 2024-12-25T22-39-30.466377](https://huggingface.co/datasets/open-llm-leaderboard/Daemontatox__PathfinderAI-details/blob/main/Daemontatox__PathfinderAI/results_2024-12-25T22-39-30.466377.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_strict_acc,none\": 0.4292565947242206,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.37153419593345655,\n \"prompt_level_loose_acc_stderr,none\": 0.020794253888707582,\n\ \ \"inst_level_loose_acc,none\": 0.4772182254196642,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\": 0.6038396679206123,\n\ \ \"acc_norm_stderr,none\": 0.005114412741319218,\n \"prompt_level_strict_acc,none\"\ : 0.3197781885397412,\n \"prompt_level_strict_acc_stderr,none\": 0.02007025155658027,\n\ \ \"exact_match,none\": 0.47583081570996977,\n \"exact_match_stderr,none\"\ : 0.011997412930703567,\n \"acc,none\": 0.559341755319149,\n \ \ \"acc_stderr,none\": 0.004526251764884398,\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6627321645547648,\n\ \ \"acc_norm_stderr,none\": 0.0057158112089299344,\n \"alias\"\ : \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ \ \"acc_norm,none\": 0.904,\n \"acc_norm_stderr,none\": 0.01866896141947719\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.6951871657754011,\n\ \ \"acc_norm_stderr,none\": 0.03375289476367582\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ ,\n \"acc_norm,none\": 0.736,\n \"acc_norm_stderr,none\":\ \ 0.027934518957690866\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \ \ \"acc_norm,none\": 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\",\n \"acc_norm,none\": 0.724,\n\ \ \"acc_norm_stderr,none\": 0.02832853727421142\n },\n \ \ \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.596,\n \"acc_norm_stderr,none\":\ \ 0.03109668818482536\n },\n \"leaderboard_bbh_hyperbaton\": {\n \ \ \"alias\": \" - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\"\ : 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n },\n\ \ \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n },\n\ \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.868,\n \"acc_norm_stderr,none\": 0.021450980824038166\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\"\ : \" - leaderboard_bbh_object_counting\",\n \"acc_norm,none\": 0.464,\n\ \ \"acc_norm_stderr,none\": 0.03160397514522374\n },\n \ \ \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ ,\n \"acc_norm,none\": 0.7328767123287672,\n \"acc_norm_stderr,none\"\ : 0.03674407640319397\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\":\ \ 0.02496069198917196\n },\n \"leaderboard_bbh_ruin_names\": {\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\"\ : 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n },\n\ \ \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.672,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" -\ \ leaderboard_bbh_snarks\",\n \"acc_norm,none\": 0.8707865168539326,\n\ \ \"acc_norm_stderr,none\": 0.02521291917508837\n },\n \ \ \"leaderboard_bbh_sports_understanding\": {\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ ,\n \"acc_norm,none\": 0.728,\n \"acc_norm_stderr,none\":\ \ 0.028200088296309975\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \ \ \"acc_norm,none\": 0.864,\n \"acc_norm_stderr,none\": 0.021723342617052086\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\":\ \ 0.027513851933031318\n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\":\ \ 0.02721799546455311\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.608,\n\ \ \"acc_norm_stderr,none\": 0.030938207620401222\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.39429530201342283,\n\ \ \"acc_norm_stderr,none\": 0.014165615446017703,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3939393939393939,\n \"acc_norm_stderr,none\": 0.03481285338232962\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.3791208791208791,\n\ \ \"acc_norm_stderr,none\": 0.02078232480021949\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.41294642857142855,\n \"acc_norm_stderr,none\"\ : 0.023287987691016507\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.3197781885397412,\n \"prompt_level_strict_acc_stderr,none\": 0.02007025155658027,\n\ \ \"inst_level_strict_acc,none\": 0.4292565947242206,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.37153419593345655,\n \"prompt_level_loose_acc_stderr,none\": 0.020794253888707582,\n\ \ \"inst_level_loose_acc,none\": 0.47721822541966424,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.47583081570996977,\n \"exact_match_stderr,none\"\ : 0.011997412930703567,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.752442996742671,\n\ \ \"exact_match_stderr,none\": 0.024672530661985218\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.4959349593495935,\n \"exact_match_stderr,none\": 0.045266376933577414\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.3181818181818182,\n\ \ \"exact_match_stderr,none\": 0.040694556602840146\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.16428571428571428,\n \"exact_match_stderr,none\": 0.02218332855621051\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.577922077922078,\n\ \ \"exact_match_stderr,none\": 0.039928706872358506\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.7150259067357513,\n \"exact_match_stderr,none\"\ : 0.032577140777096614\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.17037037037037037,\n \"exact_match_stderr,none\"\ : 0.032477811859955956\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.559341755319149,\n\ \ \"acc_stderr,none\": 0.004526251764884398\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.48544973544973546,\n \"acc_norm_stderr,none\"\ : 0.017990685826838902,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.596,\n\ \ \"acc_norm_stderr,none\": 0.03109668818482536\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.4375,\n \"acc_norm_stderr,none\"\ : 0.031065632609231775\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.424,\n \"acc_norm_stderr,none\": 0.03131803437491622\n\ \ }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ : 0.4292565947242206,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ \ \"prompt_level_loose_acc,none\": 0.37153419593345655,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.020794253888707582,\n \"inst_level_loose_acc,none\": 0.4772182254196642,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ : 0.6038396679206123,\n \"acc_norm_stderr,none\": 0.005114412741319218,\n\ \ \"prompt_level_strict_acc,none\": 0.3197781885397412,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.02007025155658027,\n \"exact_match,none\": 0.47583081570996977,\n \ \ \"exact_match_stderr,none\": 0.011997412930703567,\n \"acc,none\":\ \ 0.559341755319149,\n \"acc_stderr,none\": 0.004526251764884398,\n \ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.6627321645547648,\n \"acc_norm_stderr,none\": 0.0057158112089299344,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"\ acc_norm,none\": 0.904,\n \"acc_norm_stderr,none\": 0.01866896141947719\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6951871657754011,\n \"acc_norm_stderr,none\"\ : 0.03375289476367582\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.736,\n \"acc_norm_stderr,none\": 0.027934518957690866\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.724,\n \"acc_norm_stderr,none\": 0.02832853727421142\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.596,\n \"acc_norm_stderr,none\": 0.03109668818482536\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.868,\n \"acc_norm_stderr,none\": 0.021450980824038166\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.464,\n \"acc_norm_stderr,none\": 0.03160397514522374\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.7328767123287672,\n\ \ \"acc_norm_stderr,none\": 0.03674407640319397\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\": 0.02496069198917196\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.672,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.8707865168539326,\n \"acc_norm_stderr,none\"\ : 0.02521291917508837\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.728,\n \"acc_norm_stderr,none\": 0.028200088296309975\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.864,\n \"acc_norm_stderr,none\": 0.021723342617052086\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.39429530201342283,\n\ \ \"acc_norm_stderr,none\": 0.014165615446017703,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3939393939393939,\n\ \ \"acc_norm_stderr,none\": 0.03481285338232962\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.3791208791208791,\n \"acc_norm_stderr,none\": 0.02078232480021949\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.41294642857142855,\n \"acc_norm_stderr,none\"\ : 0.023287987691016507\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.3197781885397412,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.02007025155658027,\n \ \ \"inst_level_strict_acc,none\": 0.4292565947242206,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.37153419593345655,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.020794253888707582,\n \"inst_level_loose_acc,none\"\ : 0.47721822541966424,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n\ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.47583081570996977,\n\ \ \"exact_match_stderr,none\": 0.011997412930703567,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.752442996742671,\n \"exact_match_stderr,none\": 0.024672530661985218\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.4959349593495935,\n \"exact_match_stderr,none\": 0.045266376933577414\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.3181818181818182,\n \"exact_match_stderr,none\"\ : 0.040694556602840146\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.16428571428571428,\n \"exact_match_stderr,none\"\ : 0.02218332855621051\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.577922077922078,\n \"exact_match_stderr,none\": 0.039928706872358506\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.7150259067357513,\n \"exact_match_stderr,none\"\ : 0.032577140777096614\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.17037037037037037,\n \"exact_match_stderr,none\": 0.032477811859955956\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.559341755319149,\n \"acc_stderr,none\": 0.004526251764884398\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.48544973544973546,\n\ \ \"acc_norm_stderr,none\": 0.017990685826838902,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.596,\n \"acc_norm_stderr,none\": 0.03109668818482536\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.4375,\n \"acc_norm_stderr,none\": 0.031065632609231775\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.424,\n \"acc_norm_stderr,none\": 0.03131803437491622\n\ \ }\n}\n```" repo_url: https://huggingface.co/Daemontatox/PathfinderAI leaderboard_url: '' point_of_contact: '' configs: - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_navigate data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_navigate_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_navigate_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_snarks data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_snarks_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_snarks_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_gpqa_extended data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_gpqa_extended_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_extended_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_gpqa_main data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_gpqa_main_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_main_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_ifeval data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_ifeval_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_ifeval_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_mmlu_pro data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_mmlu_pro_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_mmlu_pro_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_musr_object_placements data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_musr_object_placements_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_musr_object_placements_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T22_39_30.466377 path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T22-39-30.466377.jsonl' --- # Dataset Card for Evaluation run of Daemontatox/PathfinderAI <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Daemontatox/PathfinderAI](https://huggingface.co/Daemontatox/PathfinderAI) 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/Daemontatox__PathfinderAI-details", name="Daemontatox__PathfinderAI__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T22-39-30.466377](https://huggingface.co/datasets/open-llm-leaderboard/Daemontatox__PathfinderAI-details/blob/main/Daemontatox__PathfinderAI/results_2024-12-25T22-39-30.466377.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_strict_acc,none": 0.4292565947242206, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.37153419593345655, "prompt_level_loose_acc_stderr,none": 0.020794253888707582, "inst_level_loose_acc,none": 0.4772182254196642, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.6038396679206123, "acc_norm_stderr,none": 0.005114412741319218, "prompt_level_strict_acc,none": 0.3197781885397412, "prompt_level_strict_acc_stderr,none": 0.02007025155658027, "exact_match,none": 0.47583081570996977, "exact_match_stderr,none": 0.011997412930703567, "acc,none": 0.559341755319149, "acc_stderr,none": 0.004526251764884398, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6627321645547648, "acc_norm_stderr,none": 0.0057158112089299344, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.904, "acc_norm_stderr,none": 0.01866896141947719 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6951871657754011, "acc_norm_stderr,none": 0.03375289476367582 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.736, "acc_norm_stderr,none": 0.027934518957690866 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.74, "acc_norm_stderr,none": 0.027797315752644335 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.724, "acc_norm_stderr,none": 0.02832853727421142 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.03109668818482536 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.868, "acc_norm_stderr,none": 0.021450980824038166 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.03160397514522374 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.7328767123287672, "acc_norm_stderr,none": 0.03674407640319397 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.672, "acc_norm_stderr,none": 0.029752391824475363 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8707865168539326, "acc_norm_stderr,none": 0.02521291917508837 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.864, "acc_norm_stderr,none": 0.021723342617052086 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_gpqa": { "acc_norm,none": 0.39429530201342283, "acc_norm_stderr,none": 0.014165615446017703, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3939393939393939, "acc_norm_stderr,none": 0.03481285338232962 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3791208791208791, "acc_norm_stderr,none": 0.02078232480021949 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.41294642857142855, "acc_norm_stderr,none": 0.023287987691016507 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.3197781885397412, "prompt_level_strict_acc_stderr,none": 0.02007025155658027, "inst_level_strict_acc,none": 0.4292565947242206, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.37153419593345655, "prompt_level_loose_acc_stderr,none": 0.020794253888707582, "inst_level_loose_acc,none": 0.47721822541966424, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.47583081570996977, "exact_match_stderr,none": 0.011997412930703567, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.752442996742671, "exact_match_stderr,none": 0.024672530661985218 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.4959349593495935, "exact_match_stderr,none": 0.045266376933577414 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.3181818181818182, "exact_match_stderr,none": 0.040694556602840146 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.16428571428571428, "exact_match_stderr,none": 0.02218332855621051 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.577922077922078, "exact_match_stderr,none": 0.039928706872358506 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.7150259067357513, "exact_match_stderr,none": 0.032577140777096614 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.17037037037037037, "exact_match_stderr,none": 0.032477811859955956 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.559341755319149, "acc_stderr,none": 0.004526251764884398 }, "leaderboard_musr": { "acc_norm,none": 0.48544973544973546, "acc_norm_stderr,none": 0.017990685826838902, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.03109668818482536 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.4375, "acc_norm_stderr,none": 0.031065632609231775 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.424, "acc_norm_stderr,none": 0.03131803437491622 } }, "leaderboard": { "inst_level_strict_acc,none": 0.4292565947242206, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.37153419593345655, "prompt_level_loose_acc_stderr,none": 0.020794253888707582, "inst_level_loose_acc,none": 0.4772182254196642, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.6038396679206123, "acc_norm_stderr,none": 0.005114412741319218, "prompt_level_strict_acc,none": 0.3197781885397412, "prompt_level_strict_acc_stderr,none": 0.02007025155658027, "exact_match,none": 0.47583081570996977, "exact_match_stderr,none": 0.011997412930703567, "acc,none": 0.559341755319149, "acc_stderr,none": 0.004526251764884398, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6627321645547648, "acc_norm_stderr,none": 0.0057158112089299344, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.904, "acc_norm_stderr,none": 0.01866896141947719 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6951871657754011, "acc_norm_stderr,none": 0.03375289476367582 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.736, "acc_norm_stderr,none": 0.027934518957690866 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.74, "acc_norm_stderr,none": 0.027797315752644335 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.724, "acc_norm_stderr,none": 0.02832853727421142 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.03109668818482536 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.868, "acc_norm_stderr,none": 0.021450980824038166 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.03160397514522374 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.7328767123287672, "acc_norm_stderr,none": 0.03674407640319397 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.672, "acc_norm_stderr,none": 0.029752391824475363 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8707865168539326, "acc_norm_stderr,none": 0.02521291917508837 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.864, "acc_norm_stderr,none": 0.021723342617052086 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_gpqa": { "acc_norm,none": 0.39429530201342283, "acc_norm_stderr,none": 0.014165615446017703, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3939393939393939, "acc_norm_stderr,none": 0.03481285338232962 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3791208791208791, "acc_norm_stderr,none": 0.02078232480021949 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.41294642857142855, "acc_norm_stderr,none": 0.023287987691016507 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.3197781885397412, "prompt_level_strict_acc_stderr,none": 0.02007025155658027, "inst_level_strict_acc,none": 0.4292565947242206, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.37153419593345655, "prompt_level_loose_acc_stderr,none": 0.020794253888707582, "inst_level_loose_acc,none": 0.47721822541966424, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.47583081570996977, "exact_match_stderr,none": 0.011997412930703567, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.752442996742671, "exact_match_stderr,none": 0.024672530661985218 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.4959349593495935, "exact_match_stderr,none": 0.045266376933577414 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.3181818181818182, "exact_match_stderr,none": 0.040694556602840146 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.16428571428571428, "exact_match_stderr,none": 0.02218332855621051 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.577922077922078, "exact_match_stderr,none": 0.039928706872358506 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.7150259067357513, "exact_match_stderr,none": 0.032577140777096614 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.17037037037037037, "exact_match_stderr,none": 0.032477811859955956 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.559341755319149, "acc_stderr,none": 0.004526251764884398 }, "leaderboard_musr": { "acc_norm,none": 0.48544973544973546, "acc_norm_stderr,none": 0.017990685826838902, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.03109668818482536 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.4375, "acc_norm_stderr,none": 0.031065632609231775 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.424, "acc_norm_stderr,none": 0.03131803437491622 } } ``` ## 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. 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lomov/29labels_v2	lomov	"2024-12-25T22:40:26Z"	0	[ "license:apache-2.0", "region:us" ]	null	"2024-12-25T22:39:45Z"	--- license: apache-2.0 ---
1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr10k_ep3tmp07	1231czx	"2024-12-25T22:41:57Z"	0	[ "region:us" ]	null	"2024-12-25T22:41:56Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18847970 num_examples: 5000 download_size: 6420427 dataset_size: 18847970 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/Saxo__Linkbricks-Horizon-AI-Superb-27B-details	open-llm-leaderboard	"2024-12-25T22:45:49Z"	0	[ "region:us" ]	null	"2024-12-25T22:42:50Z"	--- pretty_name: Evaluation run of Saxo/Linkbricks-Horizon-AI-Superb-27B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Saxo/Linkbricks-Horizon-AI-Superb-27B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Superb-27B)\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/Saxo__Linkbricks-Horizon-AI-Superb-27B-details\"\ ,\n\tname=\"Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T22-42-49.895693](https://huggingface.co/datasets/open-llm-leaderboard/Saxo__Linkbricks-Horizon-AI-Superb-27B-details/blob/main/Saxo__Linkbricks-Horizon-AI-Superb-27B/results_2024-12-25T22-42-49.895693.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_loose_acc,none\": 0.7134935304990758,\n \"\ prompt_level_loose_acc_stderr,none\": 0.01945652858321169,\n \"prompt_level_strict_acc,none\"\ : 0.6894639556377079,\n \"prompt_level_strict_acc_stderr,none\": 0.019912001290591178,\n\ \ \"acc,none\": 0.406000664893617,\n \"acc_stderr,none\":\ \ 0.004477189622270791,\n \"inst_level_strict_acc,none\": 0.7709832134292566,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ : 0.5619405889220391,\n \"acc_norm_stderr,none\": 0.005256728642101159,\n\ \ \"exact_match,none\": 0.15709969788519637,\n \"exact_match_stderr,none\"\ : 0.009342657681072883,\n \"inst_level_loose_acc,none\": 0.7925659472422062,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"alias\"\ : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.6170803679916681,\n \"acc_norm_stderr,none\": 0.005982137660474842,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ \ \"acc_norm,none\": 0.892,\n \"acc_norm_stderr,none\": 0.019669559381568776\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.6149732620320856,\n\ \ \"acc_norm_stderr,none\": 0.03567936280544673\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ ,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.752,\n\ \ \"acc_norm_stderr,none\": 0.027367497504863593\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\":\ \ 0.03056207062099311\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.788,\n \ \ \"acc_norm_stderr,none\": 0.025901884690541117\n },\n \"\ leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\": \" \ \ - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743\n },\n\ \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.03162125257572558\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\":\ \ 0.030491555220405475\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.436,\n \"acc_norm_stderr,none\": 0.031425567060281365\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6095890410958904,\n \"acc_norm_stderr,none\": 0.040513109165891854\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.764,\n \"acc_norm_stderr,none\": 0.026909337594953852\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.752,\n \ \ \"acc_norm_stderr,none\": 0.027367497504863593\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7584269662921348,\n \"acc_norm_stderr,none\"\ : 0.032173216138332565\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.86,\n\ \ \"acc_norm_stderr,none\": 0.021989409645240245\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.26,\n \"acc_norm_stderr,none\": 0.027797315752644335\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\":\ \ 0.02915021337415965\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.464,\n\ \ \"acc_norm_stderr,none\": 0.03160397514522374\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3573825503355705,\n\ \ \"acc_norm_stderr,none\": 0.013897218993125009,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3686868686868687,\n \"acc_norm_stderr,none\": 0.03437305501980615\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.3553113553113553,\n\ \ \"acc_norm_stderr,none\": 0.02050129537631028\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.3549107142857143,\n \"acc_norm_stderr,none\"\ : 0.022631623416326775\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.6894639556377079,\n \"prompt_level_strict_acc_stderr,none\": 0.019912001290591178,\n\ \ \"inst_level_strict_acc,none\": 0.7709832134292566,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7134935304990758,\n \"prompt_level_loose_acc_stderr,none\": 0.01945652858321169,\n\ \ \"inst_level_loose_acc,none\": 0.7925659472422062,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.15709969788519637,\n \"exact_match_stderr,none\"\ : 0.009342657681072883,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.3322475570032573,\n\ \ \"exact_match_stderr,none\": 0.026926377345574907\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.10569105691056911,\n \"exact_match_stderr,none\": 0.0278344722877674\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.022727272727272728,\n\ \ \"exact_match_stderr,none\": 0.0130210469090637\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\": \"\ \ - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.03214285714285714,\n \"exact_match_stderr,none\": 0.01055955866175321\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.07142857142857142,\n\ \ \"exact_match_stderr,none\": 0.020820824576076338\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.31088082901554404,\n \"exact_match_stderr,none\"\ : 0.03340361906276587\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.07407407407407407,\n \"exact_match_stderr,none\"\ : 0.02262397117709356\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.406000664893617,\n\ \ \"acc_stderr,none\": 0.004477189622270791\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4642857142857143,\n \"acc_norm_stderr,none\"\ : 0.01774886189462961,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.616,\n\ \ \"acc_norm_stderr,none\": 0.030821679117375447\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.375,\n \"acc_norm_stderr,none\":\ \ 0.03031695312954162\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.404,\n \"acc_norm_stderr,none\": 0.03109668818482536\n\ \ }\n },\n \"leaderboard\": {\n \"prompt_level_loose_acc,none\"\ : 0.7134935304990758,\n \"prompt_level_loose_acc_stderr,none\": 0.01945652858321169,\n\ \ \"prompt_level_strict_acc,none\": 0.6894639556377079,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.019912001290591178,\n \"acc,none\": 0.406000664893617,\n \"acc_stderr,none\"\ : 0.004477189622270791,\n \"inst_level_strict_acc,none\": 0.7709832134292566,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ : 0.5619405889220391,\n \"acc_norm_stderr,none\": 0.005256728642101159,\n\ \ \"exact_match,none\": 0.15709969788519637,\n \"exact_match_stderr,none\"\ : 0.009342657681072883,\n \"inst_level_loose_acc,none\": 0.7925659472422062,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6170803679916681,\n\ \ \"acc_norm_stderr,none\": 0.005982137660474842,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ : 0.892,\n \"acc_norm_stderr,none\": 0.019669559381568776\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6149732620320856,\n \"acc_norm_stderr,none\"\ : 0.03567936280544673\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\"\ : 0.752,\n \"acc_norm_stderr,none\": 0.027367497504863593\n },\n \"\ leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\": 0.03056207062099311\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.788,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.03162125257572558\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.436,\n \"acc_norm_stderr,none\": 0.031425567060281365\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6095890410958904,\n\ \ \"acc_norm_stderr,none\": 0.040513109165891854\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.764,\n \"acc_norm_stderr,none\": 0.026909337594953852\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.752,\n \"acc_norm_stderr,none\": 0.027367497504863593\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7584269662921348,\n \"acc_norm_stderr,none\"\ : 0.032173216138332565\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.86,\n \"acc_norm_stderr,none\": 0.021989409645240245\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.26,\n \"acc_norm_stderr,none\": 0.027797315752644335\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.02915021337415965\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.464,\n \"acc_norm_stderr,none\": 0.03160397514522374\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3573825503355705,\n\ \ \"acc_norm_stderr,none\": 0.013897218993125009,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3686868686868687,\n\ \ \"acc_norm_stderr,none\": 0.03437305501980615\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.3553113553113553,\n \"acc_norm_stderr,none\": 0.02050129537631028\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.3549107142857143,\n \"acc_norm_stderr,none\"\ : 0.022631623416326775\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.6894639556377079,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.019912001290591178,\n \ \ \"inst_level_strict_acc,none\": 0.7709832134292566,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7134935304990758,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01945652858321169,\n \"inst_level_loose_acc,none\"\ : 0.7925659472422062,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.15709969788519637,\n\ \ \"exact_match_stderr,none\": 0.009342657681072883,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.3322475570032573,\n \"exact_match_stderr,none\": 0.026926377345574907\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.10569105691056911,\n \"exact_match_stderr,none\": 0.0278344722877674\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.022727272727272728,\n \"exact_match_stderr,none\"\ : 0.0130210469090637\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.03214285714285714,\n \"exact_match_stderr,none\"\ : 0.01055955866175321\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.07142857142857142,\n \"exact_match_stderr,none\": 0.020820824576076338\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.31088082901554404,\n \"exact_match_stderr,none\"\ : 0.03340361906276587\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.07407407407407407,\n \"exact_match_stderr,none\": 0.02262397117709356\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.406000664893617,\n \"acc_stderr,none\": 0.004477189622270791\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4642857142857143,\n\ \ \"acc_norm_stderr,none\": 0.01774886189462961,\n \"alias\": \" -\ \ leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.616,\n \"acc_norm_stderr,none\": 0.030821679117375447\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.375,\n \"acc_norm_stderr,none\": 0.03031695312954162\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.404,\n \"acc_norm_stderr,none\": 0.03109668818482536\n\ \ }\n}\n```" repo_url: https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Superb-27B leaderboard_url: '' point_of_contact: '' configs: - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_date_understanding_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_navigate data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_navigate_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_navigate_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_object_counting_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_ruin_names_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_snarks data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_snarks_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_snarks_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_diamond_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_gpqa_extended data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_gpqa_extended_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_extended_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_gpqa_main data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_gpqa_main_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_gpqa_main_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_ifeval data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_ifeval_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_ifeval_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_math_algebra_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_math_geometry_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_math_num_theory_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_math_precalculus_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_mmlu_pro data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_mmlu_pro_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_mmlu_pro_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_musr_object_placements data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_musr_object_placements_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_musr_object_placements_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T22_42_49.895693 path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '/samples_leaderboard_musr_team_allocation_2024-12-25T22-42-49.895693.jsonl' --- # Dataset Card for Evaluation run of Saxo/Linkbricks-Horizon-AI-Superb-27B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Saxo/Linkbricks-Horizon-AI-Superb-27B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Superb-27B) 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/Saxo__Linkbricks-Horizon-AI-Superb-27B-details", name="Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T22-42-49.895693](https://huggingface.co/datasets/open-llm-leaderboard/Saxo__Linkbricks-Horizon-AI-Superb-27B-details/blob/main/Saxo__Linkbricks-Horizon-AI-Superb-27B/results_2024-12-25T22-42-49.895693.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_loose_acc,none": 0.7134935304990758, "prompt_level_loose_acc_stderr,none": 0.01945652858321169, "prompt_level_strict_acc,none": 0.6894639556377079, "prompt_level_strict_acc_stderr,none": 0.019912001290591178, "acc,none": 0.406000664893617, "acc_stderr,none": 0.004477189622270791, "inst_level_strict_acc,none": 0.7709832134292566, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.5619405889220391, "acc_norm_stderr,none": 0.005256728642101159, "exact_match,none": 0.15709969788519637, "exact_match_stderr,none": 0.009342657681072883, "inst_level_loose_acc,none": 0.7925659472422062, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6170803679916681, "acc_norm_stderr,none": 0.005982137660474842, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.892, "acc_norm_stderr,none": 0.019669559381568776 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6149732620320856, "acc_norm_stderr,none": 0.03567936280544673 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010743 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.03162125257572558 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.436, "acc_norm_stderr,none": 0.031425567060281365 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6095890410958904, "acc_norm_stderr,none": 0.040513109165891854 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.764, "acc_norm_stderr,none": 0.026909337594953852 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7584269662921348, "acc_norm_stderr,none": 0.032173216138332565 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.86, "acc_norm_stderr,none": 0.021989409645240245 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.26, "acc_norm_stderr,none": 0.027797315752644335 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.03160397514522374 }, "leaderboard_gpqa": { "acc_norm,none": 0.3573825503355705, "acc_norm_stderr,none": 0.013897218993125009, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3686868686868687, "acc_norm_stderr,none": 0.03437305501980615 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3553113553113553, "acc_norm_stderr,none": 0.02050129537631028 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.3549107142857143, "acc_norm_stderr,none": 0.022631623416326775 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.6894639556377079, "prompt_level_strict_acc_stderr,none": 0.019912001290591178, "inst_level_strict_acc,none": 0.7709832134292566, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7134935304990758, "prompt_level_loose_acc_stderr,none": 0.01945652858321169, "inst_level_loose_acc,none": 0.7925659472422062, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.15709969788519637, "exact_match_stderr,none": 0.009342657681072883, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.3322475570032573, "exact_match_stderr,none": 0.026926377345574907 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.10569105691056911, "exact_match_stderr,none": 0.0278344722877674 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.022727272727272728, "exact_match_stderr,none": 0.0130210469090637 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.03214285714285714, "exact_match_stderr,none": 0.01055955866175321 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07142857142857142, "exact_match_stderr,none": 0.020820824576076338 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.31088082901554404, "exact_match_stderr,none": 0.03340361906276587 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.07407407407407407, "exact_match_stderr,none": 0.02262397117709356 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.406000664893617, "acc_stderr,none": 0.004477189622270791 }, "leaderboard_musr": { "acc_norm,none": 0.4642857142857143, "acc_norm_stderr,none": 0.01774886189462961, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.375, "acc_norm_stderr,none": 0.03031695312954162 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.404, "acc_norm_stderr,none": 0.03109668818482536 } }, "leaderboard": { "prompt_level_loose_acc,none": 0.7134935304990758, "prompt_level_loose_acc_stderr,none": 0.01945652858321169, "prompt_level_strict_acc,none": 0.6894639556377079, "prompt_level_strict_acc_stderr,none": 0.019912001290591178, "acc,none": 0.406000664893617, "acc_stderr,none": 0.004477189622270791, "inst_level_strict_acc,none": 0.7709832134292566, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.5619405889220391, "acc_norm_stderr,none": 0.005256728642101159, "exact_match,none": 0.15709969788519637, "exact_match_stderr,none": 0.009342657681072883, "inst_level_loose_acc,none": 0.7925659472422062, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6170803679916681, "acc_norm_stderr,none": 0.005982137660474842, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.892, "acc_norm_stderr,none": 0.019669559381568776 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6149732620320856, "acc_norm_stderr,none": 0.03567936280544673 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010743 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.03162125257572558 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.436, "acc_norm_stderr,none": 0.031425567060281365 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6095890410958904, "acc_norm_stderr,none": 0.040513109165891854 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.764, "acc_norm_stderr,none": 0.026909337594953852 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7584269662921348, "acc_norm_stderr,none": 0.032173216138332565 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.86, "acc_norm_stderr,none": 0.021989409645240245 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.26, "acc_norm_stderr,none": 0.027797315752644335 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.03160397514522374 }, "leaderboard_gpqa": { "acc_norm,none": 0.3573825503355705, "acc_norm_stderr,none": 0.013897218993125009, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3686868686868687, "acc_norm_stderr,none": 0.03437305501980615 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3553113553113553, "acc_norm_stderr,none": 0.02050129537631028 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.3549107142857143, "acc_norm_stderr,none": 0.022631623416326775 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.6894639556377079, "prompt_level_strict_acc_stderr,none": 0.019912001290591178, "inst_level_strict_acc,none": 0.7709832134292566, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7134935304990758, "prompt_level_loose_acc_stderr,none": 0.01945652858321169, "inst_level_loose_acc,none": 0.7925659472422062, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.15709969788519637, "exact_match_stderr,none": 0.009342657681072883, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.3322475570032573, "exact_match_stderr,none": 0.026926377345574907 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.10569105691056911, "exact_match_stderr,none": 0.0278344722877674 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.022727272727272728, "exact_match_stderr,none": 0.0130210469090637 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.03214285714285714, "exact_match_stderr,none": 0.01055955866175321 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07142857142857142, "exact_match_stderr,none": 0.020820824576076338 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.31088082901554404, "exact_match_stderr,none": 0.03340361906276587 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.07407407407407407, "exact_match_stderr,none": 0.02262397117709356 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.406000664893617, "acc_stderr,none": 0.004477189622270791 }, "leaderboard_musr": { "acc_norm,none": 0.4642857142857143, "acc_norm_stderr,none": 0.01774886189462961, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.375, "acc_norm_stderr,none": 0.03031695312954162 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.404, "acc_norm_stderr,none": 0.03109668818482536 } } ``` ## 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]
1231czx/llama31_chat_format_20k_ep3tmp07	1231czx	"2024-12-25T22:42:57Z"	0	[ "region:us" ]	null	"2024-12-25T22:42:56Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18375713 num_examples: 5000 download_size: 6315088 dataset_size: 18375713 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr10k_ep3tmp0	1231czx	"2024-12-25T22:48:52Z"	0	[ "region:us" ]	null	"2024-12-25T22:48:51Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18887181 num_examples: 5000 download_size: 5862719 dataset_size: 18887181 configs: - config_name: default data_files: - split: train path: data/train-* ---
1231czx/llama31_chat_format_20k_ep3tmp0	1231czx	"2024-12-25T22:49:44Z"	0	[ "region:us" ]	null	"2024-12-25T22:49:42Z"	--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18125956 num_examples: 5000 download_size: 5821588 dataset_size: 18125956 configs: - config_name: default data_files: - split: train path: data/train-* ---
metalure/SEER-sft-02	metalure	"2024-12-26T01:11:13Z"	0	[ "region:us" ]	null	"2024-12-25T22:55:07Z"	--- dataset_info: features: - name: prompt list: - name: content dtype: string - name: role dtype: string - name: completion dtype: string - name: constitutions list: - name: answers sequence: string - name: content dtype: string - name: id dtype: string - name: preferred_answer dtype: int64 splits: - name: train num_bytes: 6016095 num_examples: 1000 download_size: 2387527 dataset_size: 6016095 configs: - config_name: default data_files: - split: train path: data/train-* ---
maniro-ai/2024-12-25-rod-barn-all-grasp-berry-mjpeg	maniro-ai	"2024-12-25T23:03:00Z"	0	[ "task_categories:robotics", "region:us", "LeRobot" ]	[ "robotics" ]	"2024-12-25T22:56:15Z"	--- task_categories: - robotics tags: - LeRobot --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
spiralworks/lg_domain_gen_2015_2020_test_6	spiralworks	"2024-12-25T23:17:37Z"	0	[ "region:us" ]	null	"2024-12-25T22:58:51Z"	--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: authors sequence: string - name: abstract dtype: string - name: year dtype: string - name: venue dtype: string - name: keywords sequence: string - name: pdf_url dtype: string - name: forum_url dtype: string - name: forum_raw_text sequence: string - name: reviews_raw_text sequence: string - name: average_rating dtype: float64 - name: average_confidence dtype: float64 - name: reviews sequence: string splits: - name: train num_bytes: 96432221 num_examples: 2506 download_size: 47960225 dataset_size: 96432221 configs: - config_name: default data_files: - split: train path: data/train-* ---
UniDataPro/water-meters	UniDataPro	"2024-12-25T23:10:22Z"	1	[ "task_categories:image-segmentation", "license:cc-by-nc-nd-4.0", "size_categories:1K<n<10K", "modality:image", "region:us", "water meter", "smart city", "computer vision", "image", "communal service" ]	[ "image-segmentation" ]	"2024-12-25T23:06:11Z"	--- license: cc-by-nc-nd-4.0 task_categories: - image-segmentation tags: - water meter - smart city - computer vision - image - communal service size_categories: - 1K<n<10K --- # Water Meters Dataset - OCR, Masks Dataset comprises 5,000+ images of water meters, including their corresponding segmentation masks and OCR labels for meter readings. It is designed to facilitate research in water consumption analysis and smart meter technology, providing valuable insights into residential and commercial water usage. By utilizing this dataset, researchers and developers can enhance their understanding of water meter readings and improve methods for automatic recognition and data collection. - [Get the data](https://unidata.pro/datasets/water-meters/?utm_source=huggingface&utm_medium=cpc&utm_campaign=water-meters) # Example of the data ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F7580bad9a4e171194a942954cc469a3e%2FFrame%20185.png?generation=1735167809138042&alt=media) Each image in the dataset contains critical information such as the value of the water meter and the location of the bounding box, enabling accurate meter reading extraction. The dataset is organized into three distinct folders: bounding box images, original images, and segmentation masks, allowing for efficient data management and accessibility. # 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/water-meters/?utm_source=huggingface&utm_medium=cpc&utm_campaign=water-meters) to discuss your requirements and pricing options. This dataset provides a solid foundation for developing advanced recognition algorithms and improving the accuracy of water meter reading systems, which are essential for effective water resource management and conservation efforts. # 🌐 [UniData](https://unidata.pro/datasets/water-meters/?utm_source=huggingface&utm_medium=cpc&utm_campaign=water-meters) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
AhmedBadawy11/UAE_instructions_responses	AhmedBadawy11	"2024-12-25T23:09:17Z"	0	[ "region:us" ]	null	"2024-12-25T23:09:16Z"	--- dataset_info: features: - name: instruction dtype: string - name: response dtype: string splits: - name: train num_bytes: 30843 num_examples: 100 download_size: 17868 dataset_size: 30843 configs: - config_name: default data_files: - split: train path: data/train-* ---
dgambettavuw/D_gen3_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw	dgambettavuw	"2024-12-25T23:09:47Z"	0	[ "region:us" ]	null	"2024-12-25T23:09:43Z"	--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 794952 num_examples: 1000 download_size: 421633 dataset_size: 794952 configs: - config_name: default data_files: - split: train path: data/train-* ---
meteorinc/yesbro1	meteorinc	"2024-12-25T23:24:57Z"	0	[ "task_categories:robotics", "license:apache-2.0", "region:us", "LeRobot", "tutorial" ]	[ "robotics" ]	"2024-12-25T23:24:49Z"	--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - tutorial configs: - config_name: default data_files: data//.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - Homepage: [More Information Needed] - Paper: [More Information Needed] - License: apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "koch", "total_episodes": 5, "total_frames": 2405, "total_tasks": 1, "total_videos": 10, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:5" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation BibTeX: ```bibtex [More Information Needed] ```
winglian/evolkit-logprobs-prepared-kd-temp-2_0-context-8k	winglian	"2024-12-25T23:57:04Z"	0	[ "region:us" ]	null	"2024-12-25T23:28:34Z"	--- configs: - config_name: subset_0 data_files: - split: train path: "data/subset_0/.arrow" - config_name: subset_1 data_files: - split: train path: "data/subset_1/.arrow" - config_name: subset_2 data_files: - split: train path: "data/subset_2/.arrow" - config_name: subset_3 data_files: - split: train path: "data/subset_3/.arrow" - config_name: subset_4 data_files: - split: train path: "data/subset_4/*.arrow" ---
paralaif/prl_crimson_maiden_style	paralaif	"2024-12-25T23:34:22Z"	0	[ "language:en", "license:cc0-1.0", "modality:image", "region:us", "image" ]	null	"2024-12-25T23:31:52Z"	--- language: - en pretty_name: "Crimson Maiden Lora Training Data" tags: - image license: "cc0-1.0" --- # prl_crimson_maiden_style Dataset This dataset is used to train my lora Crimson Maiden from Civitai.
qfq/train_all_features	qfq	"2024-12-25T23:37:56Z"	0	[ "region:us" ]	null	"2024-12-25T23:35:10Z"	--- dataset_info: features: - name: solution dtype: string - name: question dtype: string - name: cot_type dtype: string - name: source_type dtype: string - name: metadata dtype: string - name: cot dtype: 'null' - name: isqwen32bcorrect dtype: bool - name: isgenminicorrect dtype: bool - name: thinking_trajectories sequence: string - name: attempt dtype: string - name: thinking_tokens dtype: int64 - name: thinking_tokens_rounded dtype: int64 - name: answer_chars dtype: int64 - name: answer_tokens dtype: int64 - name: answer_tokens_rounded dtype: int64 - name: ratio_thinking_answer_tokens dtype: float64 splits: - name: train num_bytes: 9026942676 num_examples: 58137 download_size: 5820956367 dataset_size: 9026942676 configs: - config_name: default data_files: - split: train path: data/train-* ---
qfq/train_all_features_longest_correct	qfq	"2024-12-25T23:44:21Z"	0	[ "region:us" ]	null	"2024-12-25T23:42:09Z"	--- dataset_info: features: - name: solution dtype: string - name: question dtype: string - name: cot_type dtype: string - name: source_type dtype: string - name: metadata dtype: string - name: cot dtype: 'null' - name: isqwen32bcorrect dtype: bool - name: isgenminicorrect dtype: bool - name: thinking_trajectories sequence: string - name: attempt dtype: string - name: thinking_tokens dtype: int64 - name: thinking_tokens_rounded dtype: int64 - name: answer_chars dtype: int64 - name: answer_tokens dtype: int64 - name: answer_tokens_rounded dtype: int64 - name: ratio_thinking_answer_tokens dtype: float64 splits: - name: train num_bytes: 155270183.807214 num_examples: 1000 download_size: 7574894 dataset_size: 155270183.807214 configs: - config_name: default data_files: - split: train path: data/train-* --- ``` {'AI-MO/NuminaMath-CoT/aops_forum': 620, 'KbsdJames/Omni-MATH': 149, 'qfq/openaimath/Precalculus': 76, 'qfq/openaimath/Intermediate Algebra': 49, 'qfq/openaimath/Geometry': 27, 'qfq/openaimath/Number Theory': 17, 'qfq/openaimath/Counting & Probability': 15, 'daman1209arora/jeebench/math': 8, 'GAIR/OlympicArena/Math': 8, 'qfq/openaimath/Prealgebra': 6, 'AI-MO/NuminaMath-CoT/olympiads': 6, 'Hothan/OlympiadBench/Theorem proof/Math': 4, 'Hothan/OlympiadBench/Open-ended/Physics': 3, 'qfq/stats_qual': 3, 'TIGER-Lab/TheoremQA/integer': 2, 'baber/agieval/aqua_rat': 1, 'AI-MO/NuminaMath-CoT/cn_k12': 1, 'TIGER-Lab/TheoremQA/list of integer': 1, 'Hothan/OlympiadBench/Open-ended/Math': 1, 'Hothan/OlympiadBench/Theorem proof/Physics': 1, 'TIGER-Lab/TheoremQA/float': 1, 'qfq/openaimath/Algebra': 1} ```
gghozzit/20-quran-test	gghozzit	"2024-12-25T23:48:31Z"	0	[ "region:us" ]	null	"2024-12-25T23:45:45Z"	--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 4872553 num_examples: 5148 download_size: 2401032 dataset_size: 4872553 configs: - config_name: default data_files: - split: train path: data/train-* ---
dgambettavuw/D_gen4_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw	dgambettavuw	"2024-12-25T23:49:54Z"	0	[ "region:us" ]	null	"2024-12-25T23:49:50Z"	--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 787746 num_examples: 1000 download_size: 414254 dataset_size: 787746 configs: - config_name: default data_files: - split: train path: data/train-* ---
eja/wikilite	eja	"2024-12-26T00:22:11Z"	0	[ "language:it", "language:es", "language:sc", "license:gfdl", "region:us", "sqlite", "wikipedia", "wikilite", "eja" ]	null	"2024-12-25T23:54:29Z"	--- license: gfdl language: - it - es - sc tags: - sqlite - wikipedia - wikilite - eja pretty_name: wikilite --- # Processed Wikipedia SQLite Databases for Wikilite This dataset provides pre-processed SQLite databases of Wikipedia articles for use with the [Wikilite](https://github.com/eja/wikilite) tool. These databases allow you to quickly and efficiently search and access Wikipedia content offline using Wikilite's lexical and semantic search capabilities. ## Supported Languages Currently, the dataset includes databases for the following languages: * Sardinian (sc) * Italian (it) * Spanish (es) More languages may be added in the future. ## Dataset Structure Each language is stored as a separate compressed file (`.db.gz`) within the dataset. For example: * `it.db.gz` - Italian Wikipedia database * `sc.db.gz` - Sardinian Wikipedia database * `es.db.gz` - Spanish Wikipedia database ## How to Use this Dataset 1. Download the Desired Database: Choose the database for the language you want to use and download the corresponding `.db.gz` file. 2. Decompress the Database: Use a tool like `gunzip` to decompress the downloaded file. For example, on Linux or macOS, you can run the following command in your terminal: ```bash gunzip it.db.gz ``` This will create the decompressed database file (`it.db` in the example above). 3. Install Wikilite: Follow the instructions on the [Wikilite github repo](https://github.com/eja/wikilite) to clone the repository and build the binary. 4. Run Wikilite: Navigate to the directory where you extracted the database and where you have the compiled `wikilite` binary. Use the `wikilite` command with the appropriate options. For example, to start the web interface for the Italian database, use: ```bash ./wikilite --db it.db --web ``` This will start a local web server allowing you to browse and search the Wikipedia content. Command-line Usage: Alternatively, you can search the database directly from the command line: ```bash ./wikilite --db it.db --cli ``` 5. Access the Web Interface: If you started the web server, open a web browser and navigate to `http://localhost:35248` to access the web interface. ## About Wikilite [Wikilite](https://github.com/eja/wikilite) is a tool that provides offline access to Wikipedia content, featuring: * Fast and Flexible Lexical Searching: Uses FTS5 (Full-Text Search 5) for efficient keyword-based searching. * Enhanced Semantic Search: Integrates with Qdrant (optional) for semantic search capabilities, allowing you to find information based on meaning rather than just keywords. * Offline Access: Enables access to Wikipedia articles without an internet connection. * Command-Line Interface (CLI): Allows direct searching from the terminal. * Web Interface (Optional): Provides a user-friendly way to browse and search content. ### Semantic Search Details Wikilite leverages text embeddings for its optional semantic search. This allows you to find results even if your query does not match keywords directly, handling cases like: * Typos in your search query. * Different wordings to express the same concept. * The article uses synonyms or related terms. Note: To enable semantic search, you'll need to have a running Qdrant instance and configure Wikilite accordingly. See the Wikilite GitHub repository for more details. ## Contributing If you would like to contribute databases for additional languages, please feel free to submit a pull request. ## Acknowledgments * [Wikipedia](https://www.wikipedia.org/): For providing the valuable data. * [SQLite](https://www.sqlite.org/): For the robust database engine. * [Qdrant](https://qdrant.tech/): For the high-performance vector database used in semantic search. * [Wikilite](https://github.com/eja/wikilite): For making this project possible.
BuiMinh/final	BuiMinh	"2024-12-25T23:58:41Z"	0	[ "region:us" ]	null	"2024-12-25T23:54:34Z"	--- dataset_info: features: - name: timestamp dtype: string - name: open dtype: float64 - name: high dtype: float64 - name: low dtype: float64 - name: close dtype: float64 - name: volume dtype: float64 - name: MA_20 dtype: float64 - name: MA_50 dtype: float64 - name: MA_200 dtype: float64 - name: RSI dtype: float64 - name: '%K' dtype: float64 - name: '%D' dtype: float64 - name: ADX dtype: float64 - name: ATR dtype: float64 - name: BB_Upper dtype: float64 - name: BB_Lower dtype: float64 - name: MACD dtype: float64 - name: Signal dtype: float64 - name: Histogram dtype: float64 - name: Trendline dtype: float64 - name: NW_Upper dtype: float64 - name: NW_Lower dtype: float64 splits: - name: train num_bytes: 3969944 num_examples: 20152 download_size: 3857095 dataset_size: 3969944 configs: - config_name: default data_files: - split: train path: data/train-* ---
endomorphosis/LunarLake_Crash_MemDump	endomorphosis	"2024-12-25T23:57:33Z"	0	[ "license:apache-2.0", "region:us" ]	null	"2024-12-25T23:56:45Z"	--- license: apache-2.0 ---
BuiMinh/finalfinal	BuiMinh	"2024-12-26T00:07:55Z"	0	[ "region:us" ]	null	"2024-12-26T00:02:22Z"	--- dataset_info: features: - name: timestamp dtype: string - name: open dtype: float64 - name: high dtype: float64 - name: low dtype: float64 - name: close dtype: float64 - name: volume dtype: float64 - name: MA_20 dtype: float64 - name: MA_50 dtype: float64 - name: MA_200 dtype: float64 - name: RSI dtype: float64 - name: '%K' dtype: float64 - name: '%D' dtype: float64 - name: ADX dtype: float64 - name: ATR dtype: float64 - name: BB_Upper dtype: float64 - name: BB_Lower dtype: float64 - name: MACD dtype: float64 - name: Signal dtype: float64 - name: Histogram dtype: float64 - name: Trendline dtype: float64 - name: NW_Upper dtype: float64 - name: NW_Lower dtype: float64 splits: - name: train num_bytes: 2581685 num_examples: 13105 download_size: 2512825 dataset_size: 2581685 configs: - config_name: default data_files: - split: train path: data/train-* ---
Jean-Marie-METRO/Francais	Jean-Marie-METRO	"2024-12-26T00:17:31Z"	0	[ "license:bigscience-bloom-rail-1.0", "region:us" ]	null	"2024-12-26T00:17:31Z"	--- license: bigscience-bloom-rail-1.0 ---
BuiMinh/finalfinal2	BuiMinh	"2024-12-26T00:19:53Z"	0	[ "region:us" ]	null	"2024-12-26T00:19:09Z"	--- dataset_info: features: - name: timestamp dtype: string - name: open dtype: float64 - name: high dtype: float64 - name: low dtype: float64 - name: close dtype: float64 - name: volume dtype: float64 - name: MA_20 dtype: float64 - name: MA_50 dtype: float64 - name: MA_200 dtype: float64 - name: RSI dtype: float64 - name: '%K' dtype: float64 - name: '%D' dtype: float64 - name: ADX dtype: float64 - name: ATR dtype: float64 - name: BB_Upper dtype: float64 - name: BB_Lower dtype: float64 - name: MACD dtype: float64 - name: Signal dtype: float64 - name: Histogram dtype: float64 - name: Trendline dtype: float64 - name: NW_Upper dtype: float64 - name: NW_Lower dtype: float64 splits: - name: train num_bytes: 2509358 num_examples: 13138 download_size: 2521200 dataset_size: 2509358 configs: - config_name: default data_files: - split: train path: data/train-* ---
Asap7772/Math-steptok-mc-relabeled	Asap7772	"2024-12-26T00:38:26Z"	0	[ "region:us" ]	null	"2024-12-26T00:19:47Z"	--- dataset_info: features: - name: rollout_responses sequence: string - name: rollout_answers sequence: string - name: rollout_grades sequence: bool - name: rollout_mc_value dtype: float64 - name: responses dtype: string - name: answers dtype: string - name: grades dtype: bool - name: problem dtype: string - name: gt_answer dtype: string - name: solution dtype: string - name: answer dtype: string - name: subject dtype: string - name: level dtype: int64 - name: unique_id dtype: string - name: steps dtype: string - name: step_idx dtype: int64 splits: - name: train num_bytes: 49046876782 num_examples: 2607411 - name: test num_bytes: 2119863097 num_examples: 110431 download_size: 11351575514 dataset_size: 51166739879 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
ysenarath/wikipedia-20240901-dpr	ysenarath	"2024-12-26T00:57:27Z"	0	[ "region:us" ]	null	"2024-12-26T00:20:00Z"	--- dataset_info: features: - name: id dtype: string - name: url dtype: string - name: title dtype: string - name: text dtype: string - name: passage dtype: string splits: - name: train num_bytes: 44530490513 num_examples: 6874942 download_size: 25594678753 dataset_size: 44530490513 configs: - config_name: default data_files: - split: train path: data/train-* ---
ZhangShenao/MATH_filtered	ZhangShenao	"2024-12-26T00:20:15Z"	0	[ "region:us" ]	null	"2024-12-26T00:20:11Z"	--- dataset_info: features: - name: problem dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string splits: - name: train num_bytes: 5983176.0608 num_examples: 7498 download_size: 2992430 dataset_size: 5983176.0608 configs: - config_name: default data_files: - split: train path: data/train-* ---
BuiMinh/finalfinal3	BuiMinh	"2024-12-26T00:23:52Z"	0	[ "region:us" ]	null	"2024-12-26T00:23:31Z"	--- dataset_info: features: - name: timestamp dtype: string - name: open dtype: float64 - name: high dtype: float64 - name: low dtype: float64 - name: close dtype: float64 - name: volume dtype: float64 - name: MA_20 dtype: float64 - name: MA_50 dtype: float64 - name: MA_200 dtype: float64 - name: RSI dtype: float64 - name: '%K' dtype: float64 - name: '%D' dtype: float64 - name: ADX dtype: float64 - name: ATR dtype: float64 - name: BB_Upper dtype: float64 - name: BB_Lower dtype: float64 - name: MACD dtype: float64 - name: Signal dtype: float64 - name: Histogram dtype: float64 - name: Trendline dtype: float64 - name: NW_Upper dtype: float64 - name: NW_Lower dtype: float64 splits: - name: train num_bytes: 2510122 num_examples: 13142 download_size: 2521833 dataset_size: 2510122 configs: - config_name: default data_files: - split: train path: data/train-* ---
dgambettavuw/D_gen5_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw	dgambettavuw	"2024-12-26T00:30:14Z"	0	[ "region:us" ]	null	"2024-12-26T00:30:10Z"	--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 775561 num_examples: 1000 download_size: 408931 dataset_size: 775561 configs: - config_name: default data_files: - split: train path: data/train-* ---
yilu1015/hub-test	yilu1015	"2024-12-26T00:51:23Z"	0	[ "region:us" ]	null	"2024-12-26T00:50:25Z"	--- configs: - config_name: default data_files: - split: train path: "metadata.csv" ---
weaviate/kaggle-stroke-patients-with-description-embeddings	weaviate	"2024-12-26T00:51:02Z"	0	[ "license:apache-2.0", "region:us" ]	null	"2024-12-26T00:50:26Z"	--- license: apache-2.0 ---
lyl472324464/point_50000	lyl472324464	"2024-12-26T01:02:10Z"	0	[ "region:us" ]	null	"2024-12-26T00:54:30Z"	--- dataset_info: features: - name: image_url dtype: string - name: image_sha256 dtype: string - name: points list: - name: x dtype: float64 - name: y dtype: float64 - name: count dtype: int64 - name: label dtype: string - name: collection_method dtype: string - name: image_path dtype: string - name: image_data dtype: binary splits: - name: train num_bytes: 6783690831 num_examples: 25340 download_size: 2146664500 dataset_size: 6783690831 configs: - config_name: default data_files: - split: train path: data/train-* ---
dgambettavuw/D_gen6_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw	dgambettavuw	"2024-12-26T01:09:35Z"	0	[ "region:us" ]	null	"2024-12-26T01:09:32Z"	--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 765546 num_examples: 1000 download_size: 405638 dataset_size: 765546 configs: - config_name: default data_files: - split: train path: data/train-* ---
spiralworks/test_wildcard_ds	spiralworks	"2024-12-26T01:28:16Z"	0	[ "region:us" ]	null	"2024-12-26T01:09:48Z"	--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: authors sequence: string - name: abstract dtype: string - name: year dtype: string - name: venue dtype: string - name: keywords sequence: string - name: pdf_url dtype: string - name: forum_url dtype: string - name: forum_raw_text sequence: string - name: reviews_raw_text sequence: string - name: average_rating dtype: float64 - name: average_confidence dtype: float64 - name: reviews sequence: string splits: - name: train num_bytes: 274765139 num_examples: 7613 download_size: 136725026 dataset_size: 274765139 configs: - config_name: default data_files: - split: train path: data/train-* ---
gupta-tanish/Ultrafeedback-Mistral-Instruct	gupta-tanish	"2024-12-26T01:17:12Z"	0	[ "region:us" ]	null	"2024-12-26T01:16:04Z"	--- dataset_info: features: - name: prompt_id dtype: string - name: prompt dtype: string - name: id dtype: int64 - name: A0 list: - name: content dtype: string - name: role dtype: string - name: A1 list: - name: content dtype: string - name: role dtype: string - name: A2 list: - name: content dtype: string - name: role dtype: string - name: A3 list: - name: content dtype: string - name: role dtype: string - name: A4 list: - name: content dtype: string - name: role dtype: string - name: A5 list: - name: content dtype: string - name: role dtype: string - name: A6 list: - name: content dtype: string - name: role dtype: string - name: A7 list: - name: content dtype: string - name: role dtype: string - name: A8 list: - name: content dtype: string - name: role dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: score_A0 dtype: float64 - name: score_A1 dtype: float64 - name: score_A2 dtype: float64 - name: score_A3 dtype: float64 - name: score_A4 dtype: float64 - name: score_A5 dtype: float64 - name: score_A6 dtype: float64 - name: score_A7 dtype: float64 - name: score_A8 dtype: float64 splits: - name: train_prefs num_bytes: 1479450683 num_examples: 60931 - name: train_sft num_bytes: 1479450683 num_examples: 60931 - name: test_prefs num_bytes: 23828053 num_examples: 1000 - name: test_sft num_bytes: 11745582 num_examples: 500 - name: train_gen num_bytes: 1381249004 num_examples: 60931 - name: test_gen num_bytes: 10942625 num_examples: 500 download_size: 2372194996 dataset_size: 4386666630 configs: - config_name: default data_files: - split: train_prefs path: data/train_prefs-* - split: train_sft path: data/train_sft-* - split: test_prefs path: data/test_prefs-* - split: test_sft path: data/test_sft-* - split: train_gen path: data/train_gen-* - split: test_gen path: data/test_gen-* ---
NOERROR/PERFECT_SFT_SARDINIAN_DATASET	NOERROR	"2024-12-26T01:18:08Z"	0	[ "license:cc-by-nc-sa-4.0", "region:us" ]	null	"2024-12-26T01:18:08Z"	Invalid username or password.
NOERROR/PERFECT_SARDINIAN_SFT_DATASET	NOERROR	"2024-12-26T01:22:03Z"	0	[ "license:cc-by-nc-sa-4.0", "region:us" ]	null	"2024-12-26T01:19:10Z"	--- license: cc-by-nc-sa-4.0 ---
neonblurr/test	neonblurr	"2024-12-26T01:20:18Z"	0	[ "license:mit", "region:us" ]	null	"2024-12-26T01:20:17Z"	--- license: mit ---

open-llm-leaderboard/sthenno-com__miscii-14b-1225-details

open-llm-leaderboard

"2024-12-25T20:25:10Z"

0

[ "region:us" ]

null

"2024-12-25T20:22:11Z"

--- pretty_name: Evaluation run of sthenno-com/miscii-14b-1225 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [sthenno-com/miscii-14b-1225](https://huggingface.co/sthenno-com/miscii-14b-1225)\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/sthenno-com__miscii-14b-1225-details\"\ ,\n\tname=\"sthenno-com__miscii-14b-1225__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T20-22-10.882149](https://huggingface.co/datasets/open-llm-leaderboard/sthenno-com__miscii-14b-1225-details/blob/main/sthenno-com__miscii-14b-1225/results_2024-12-25T20-22-10.882149.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_strict_acc,none\": 0.8177458033573142,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"inst_level_loose_acc,none\"\ : 0.8345323741007195,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"acc_norm,none\": 0.5912569723699572,\n \"acc_norm_stderr,none\"\ : 0.0051334531160445035,\n \"exact_match,none\": 0.3157099697885196,\n\ \ \"exact_match_stderr,none\": 0.01209173512474148,\n \"prompt_level_strict_acc,none\"\ : 0.7578558225508318,\n \"prompt_level_strict_acc_stderr,none\": 0.018434587800223168,\n\ \ \"prompt_level_loose_acc,none\": 0.7763401109057301,\n \"\ prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n \"acc,none\"\ : 0.5271775265957447,\n \"acc_stderr,none\": 0.004551731502026407,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6559625065092866,\n \"acc_norm_stderr,none\"\ : 0.005789509618590658,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.908,\n\ \ \"acc_norm_stderr,none\": 0.01831627537942964\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6256684491978609,\n \"acc_norm_stderr,none\"\ : 0.0354849234134303\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\": 0.664,\n\ \ \"acc_norm_stderr,none\": 0.029933259094191533\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\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.76,\n \ \ \"acc_norm_stderr,none\": 0.027065293652238982\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\":\ \ 0.03056207062099311\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\": 0.03041876402517494\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.92,\n \"acc_norm_stderr,none\": 0.017192507941463025\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.68,\n \"acc_norm_stderr,none\": 0.02956172495524098\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\": 0.48,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6575342465753424,\n \"acc_norm_stderr,none\": 0.03940794258783979\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.816,\n \"acc_norm_stderr,none\": 0.02455581299422255\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\"\ : 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7808988764044944,\n \"acc_norm_stderr,none\"\ : 0.031090883837921395\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.768,\n \"acc_norm_stderr,none\": 0.026750070374865202\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.892,\n\ \ \"acc_norm_stderr,none\": 0.019669559381568776\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982\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\": 0.356,\n \"acc_norm_stderr,none\":\ \ 0.0303436806571532\n },\n \"leaderboard_bbh_web_of_lies\": {\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.616,\n \"acc_norm_stderr,none\": 0.030821679117375447\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3775167785234899,\n\ \ \"acc_norm_stderr,none\": 0.014056847074819325,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.36363636363636365,\n \"acc_norm_stderr,none\": 0.03427308652999934\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.38461538461538464,\n\ \ \"acc_norm_stderr,none\": 0.02083955266087989\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.375,\n \"acc_norm_stderr,none\":\ \ 0.02289822829522849\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7578558225508318,\n \"prompt_level_strict_acc_stderr,none\": 0.018434587800223168,\n\ \ \"inst_level_strict_acc,none\": 0.8177458033573142,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7763401109057301,\n \"prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n\ \ \"inst_level_loose_acc,none\": 0.8345323741007195,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.3157099697885196,\n \"exact_match_stderr,none\"\ : 0.01209173512474148,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.5407166123778502,\n\ \ \"exact_match_stderr,none\": 0.028488167333608636\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.2845528455284553,\n \"exact_match_stderr,none\": 0.04084983733239221\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.22727272727272727,\n\ \ \"exact_match_stderr,none\": 0.036614333604107194\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.15,\n \"exact_match_stderr,none\": 0.021377306830183917\n \ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \"\ \ - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.2597402597402597,\n\ \ \"exact_match_stderr,none\": 0.03544997923156578\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.43523316062176165,\n \"exact_match_stderr,none\"\ : 0.03578038165008584\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.15555555555555556,\n \"exact_match_stderr,none\"\ : 0.03130948364878313\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.5271775265957447,\n\ \ \"acc_stderr,none\": 0.004551731502026407\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4351851851851852,\n \"acc_norm_stderr,none\"\ : 0.017388753053079846,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.588,\n\ \ \"acc_norm_stderr,none\": 0.031191596026022818\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.26171875,\n \"acc_norm_stderr,none\"\ : 0.027526959754524398\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ \ }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ : 0.8177458033573142,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ \ \"inst_level_loose_acc,none\": 0.8345323741007195,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"acc_norm,none\": 0.5912569723699572,\n \"acc_norm_stderr,none\"\ : 0.0051334531160445035,\n \"exact_match,none\": 0.3157099697885196,\n \ \ \"exact_match_stderr,none\": 0.01209173512474148,\n \"prompt_level_strict_acc,none\"\ : 0.7578558225508318,\n \"prompt_level_strict_acc_stderr,none\": 0.018434587800223168,\n\ \ \"prompt_level_loose_acc,none\": 0.7763401109057301,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.017931771054658346,\n \"acc,none\": 0.5271775265957447,\n \"acc_stderr,none\"\ : 0.004551731502026407,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6559625065092866,\n \"acc_norm_stderr,none\"\ : 0.005789509618590658,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ ,\n \"acc_norm,none\": 0.908,\n \"acc_norm_stderr,none\": 0.01831627537942964\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6256684491978609,\n \"acc_norm_stderr,none\"\ : 0.0354849234134303\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\": 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\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\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.632,\n \"acc_norm_stderr,none\": 0.03056207062099311\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\": 0.03041876402517494\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.92,\n \"acc_norm_stderr,none\": 0.017192507941463025\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.68,\n \"acc_norm_stderr,none\": 0.02956172495524098\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\": 0.48,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6575342465753424,\n\ \ \"acc_norm_stderr,none\": 0.03940794258783979\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.816,\n \"acc_norm_stderr,none\": 0.02455581299422255\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\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7808988764044944,\n \"acc_norm_stderr,none\"\ : 0.031090883837921395\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.768,\n \"acc_norm_stderr,none\": 0.026750070374865202\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.892,\n \"acc_norm_stderr,none\": 0.019669559381568776\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982\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\": 0.356,\n \"acc_norm_stderr,none\": 0.0303436806571532\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.616,\n \"acc_norm_stderr,none\": 0.030821679117375447\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3775167785234899,\n\ \ \"acc_norm_stderr,none\": 0.014056847074819325,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.36363636363636365,\n\ \ \"acc_norm_stderr,none\": 0.03427308652999934\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.38461538461538464,\n \"acc_norm_stderr,none\": 0.02083955266087989\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.375,\n \"acc_norm_stderr,none\": 0.02289822829522849\n\ \ },\n \"leaderboard_ifeval\": {\n \"alias\": \" - leaderboard_ifeval\"\ ,\n \"prompt_level_strict_acc,none\": 0.7578558225508318,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.018434587800223168,\n \"inst_level_strict_acc,none\": 0.8177458033573142,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7763401109057301,\n \"prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n\ \ \"inst_level_loose_acc,none\": 0.8345323741007195,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\"\n },\n \"leaderboard_math_hard\": {\n \"exact_match,none\"\ : 0.3157099697885196,\n \"exact_match_stderr,none\": 0.01209173512474148,\n\ \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.5407166123778502,\n \"exact_match_stderr,none\": 0.028488167333608636\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.2845528455284553,\n \"exact_match_stderr,none\": 0.04084983733239221\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.22727272727272727,\n \"exact_match_stderr,none\"\ : 0.036614333604107194\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.15,\n \"exact_match_stderr,none\": 0.021377306830183917\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ ,\n \"exact_match,none\": 0.2597402597402597,\n \"exact_match_stderr,none\"\ : 0.03544997923156578\n },\n \"leaderboard_math_prealgebra_hard\": {\n \ \ \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \"exact_match,none\"\ : 0.43523316062176165,\n \"exact_match_stderr,none\": 0.03578038165008584\n\ \ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" -\ \ leaderboard_math_precalculus_hard\",\n \"exact_match,none\": 0.15555555555555556,\n\ \ \"exact_match_stderr,none\": 0.03130948364878313\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.5271775265957447,\n\ \ \"acc_stderr,none\": 0.004551731502026407\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4351851851851852,\n \"acc_norm_stderr,none\"\ : 0.017388753053079846,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ ,\n \"acc_norm,none\": 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n\ \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ \ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.26171875,\n\ \ \"acc_norm_stderr,none\": 0.027526959754524398\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ : 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n }\n}\n```" repo_url: https://huggingface.co/sthenno-com/miscii-14b-1225 leaderboard_url: '' point_of_contact: '' configs: - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_navigate data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_snarks data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_gpqa_extended data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_gpqa_main data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_gpqa_main_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_ifeval data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_ifeval_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_mmlu_pro data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_musr_object_placements data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T20-22-10.882149.jsonl' - config_name: sthenno-com__miscii-14b-1225__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T20_22_10.882149 path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T20-22-10.882149.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T20-22-10.882149.jsonl' --- # Dataset Card for Evaluation run of sthenno-com/miscii-14b-1225  Dataset automatically created during the evaluation run of model [sthenno-com/miscii-14b-1225](https://huggingface.co/sthenno-com/miscii-14b-1225) 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/sthenno-com__miscii-14b-1225-details", name="sthenno-com__miscii-14b-1225__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T20-22-10.882149](https://huggingface.co/datasets/open-llm-leaderboard/sthenno-com__miscii-14b-1225-details/blob/main/sthenno-com__miscii-14b-1225/results_2024-12-25T20-22-10.882149.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.8345323741007195, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.5912569723699572, "acc_norm_stderr,none": 0.0051334531160445035, "exact_match,none": 0.3157099697885196, "exact_match_stderr,none": 0.01209173512474148, "prompt_level_strict_acc,none": 0.7578558225508318, "prompt_level_strict_acc_stderr,none": 0.018434587800223168, "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "acc,none": 0.5271775265957447, "acc_stderr,none": 0.004551731502026407, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6559625065092866, "acc_norm_stderr,none": 0.005789509618590658, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.908, "acc_norm_stderr,none": 0.01831627537942964 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6256684491978609, "acc_norm_stderr,none": 0.0354849234134303 }, "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": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "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": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.92, "acc_norm_stderr,none": 0.017192507941463025 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.68, "acc_norm_stderr,none": 0.02956172495524098 }, "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": 0.48, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6575342465753424, "acc_norm_stderr,none": 0.03940794258783979 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.816, "acc_norm_stderr,none": 0.02455581299422255 }, "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": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7808988764044944, "acc_norm_stderr,none": 0.031090883837921395 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.768, "acc_norm_stderr,none": 0.026750070374865202 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.892, "acc_norm_stderr,none": 0.019669559381568776 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.24, "acc_norm_stderr,none": 0.027065293652238982 }, "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": 0.356, "acc_norm_stderr,none": 0.0303436806571532 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_gpqa": { "acc_norm,none": 0.3775167785234899, "acc_norm_stderr,none": 0.014056847074819325, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.36363636363636365, "acc_norm_stderr,none": 0.03427308652999934 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.38461538461538464, "acc_norm_stderr,none": 0.02083955266087989 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.375, "acc_norm_stderr,none": 0.02289822829522849 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7578558225508318, "prompt_level_strict_acc_stderr,none": 0.018434587800223168, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "inst_level_loose_acc,none": 0.8345323741007195, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.3157099697885196, "exact_match_stderr,none": 0.01209173512474148, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.5407166123778502, "exact_match_stderr,none": 0.028488167333608636 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.2845528455284553, "exact_match_stderr,none": 0.04084983733239221 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.22727272727272727, "exact_match_stderr,none": 0.036614333604107194 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.15, "exact_match_stderr,none": 0.021377306830183917 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.2597402597402597, "exact_match_stderr,none": 0.03544997923156578 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.43523316062176165, "exact_match_stderr,none": 0.03578038165008584 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.15555555555555556, "exact_match_stderr,none": 0.03130948364878313 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.5271775265957447, "acc_stderr,none": 0.004551731502026407 }, "leaderboard_musr": { "acc_norm,none": 0.4351851851851852, "acc_norm_stderr,none": 0.017388753053079846, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.26171875, "acc_norm_stderr,none": 0.027526959754524398 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004 } }, "leaderboard": { "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.8345323741007195, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.5912569723699572, "acc_norm_stderr,none": 0.0051334531160445035, "exact_match,none": 0.3157099697885196, "exact_match_stderr,none": 0.01209173512474148, "prompt_level_strict_acc,none": 0.7578558225508318, "prompt_level_strict_acc_stderr,none": 0.018434587800223168, "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "acc,none": 0.5271775265957447, "acc_stderr,none": 0.004551731502026407, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6559625065092866, "acc_norm_stderr,none": 0.005789509618590658, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.908, "acc_norm_stderr,none": 0.01831627537942964 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6256684491978609, "acc_norm_stderr,none": 0.0354849234134303 }, "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": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "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": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.92, "acc_norm_stderr,none": 0.017192507941463025 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.68, "acc_norm_stderr,none": 0.02956172495524098 }, "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": 0.48, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6575342465753424, "acc_norm_stderr,none": 0.03940794258783979 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.816, "acc_norm_stderr,none": 0.02455581299422255 }, "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": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7808988764044944, "acc_norm_stderr,none": 0.031090883837921395 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.768, "acc_norm_stderr,none": 0.026750070374865202 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.892, "acc_norm_stderr,none": 0.019669559381568776 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.24, "acc_norm_stderr,none": 0.027065293652238982 }, "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": 0.356, "acc_norm_stderr,none": 0.0303436806571532 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_gpqa": { "acc_norm,none": 0.3775167785234899, "acc_norm_stderr,none": 0.014056847074819325, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.36363636363636365, "acc_norm_stderr,none": 0.03427308652999934 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.38461538461538464, "acc_norm_stderr,none": 0.02083955266087989 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.375, "acc_norm_stderr,none": 0.02289822829522849 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7578558225508318, "prompt_level_strict_acc_stderr,none": 0.018434587800223168, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "inst_level_loose_acc,none": 0.8345323741007195, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.3157099697885196, "exact_match_stderr,none": 0.01209173512474148, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.5407166123778502, "exact_match_stderr,none": 0.028488167333608636 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.2845528455284553, "exact_match_stderr,none": 0.04084983733239221 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.22727272727272727, "exact_match_stderr,none": 0.036614333604107194 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.15, "exact_match_stderr,none": 0.021377306830183917 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.2597402597402597, "exact_match_stderr,none": 0.03544997923156578 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.43523316062176165, "exact_match_stderr,none": 0.03578038165008584 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.15555555555555556, "exact_match_stderr,none": 0.03130948364878313 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.5271775265957447, "acc_stderr,none": 0.004551731502026407 }, "leaderboard_musr": { "acc_norm,none": 0.4351851851851852, "acc_norm_stderr,none": 0.017388753053079846, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.26171875, "acc_norm_stderr,none": 0.027526959754524398 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

grudgie/amazon-reviews-subset

grudgie

"2024-12-25T20:33:37Z"

0

[ "region:us" ]

null

"2024-12-25T20:32:43Z"

--- dataset_info: features: - name: rating dtype: float64 - name: title dtype: string - name: text dtype: string - name: images list: - name: attachment_type dtype: string - name: large_image_url dtype: string - name: medium_image_url dtype: string - name: small_image_url dtype: string - name: asin dtype: string - name: parent_asin dtype: string - name: user_id dtype: string - name: timestamp dtype: int64 - name: helpful_vote dtype: int64 - name: verified_purchase dtype: bool splits: - name: full num_bytes: 80811509.53473501 num_examples: 256915 download_size: 52403165 dataset_size: 80811509.53473501 configs: - config_name: default data_files: - split: full path: data/full-* ---

open-llm-leaderboard/zelk12__MT1-Gen5-gemma-2-9B-details

open-llm-leaderboard

"2024-12-25T20:37:47Z"

0

[ "region:us" ]

null

"2024-12-25T20:34:22Z"

--- pretty_name: Evaluation run of zelk12/MT1-Gen5-gemma-2-9B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [zelk12/MT1-Gen5-gemma-2-9B](https://huggingface.co/zelk12/MT1-Gen5-gemma-2-9B)\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/zelk12__MT1-Gen5-gemma-2-9B-details\"\ ,\n\tname=\"zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions\",\n\ \tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T20-34-21.650551](https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT1-Gen5-gemma-2-9B-details/blob/main/zelk12__MT1-Gen5-gemma-2-9B/results_2024-12-25T20-34-21.650551.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_norm,none\": 0.5437799974056298,\n \"acc_norm_stderr,none\"\ : 0.00533024538506611,\n \"prompt_level_loose_acc,none\": 0.767097966728281,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n \ \ \"exact_match,none\": 0.0324773413897281,\n \"exact_match_stderr,none\"\ : 0.004793317189961975,\n \"inst_level_strict_acc,none\": 0.8177458033573142,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"inst_level_loose_acc,none\"\ : 0.8369304556354916,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"acc,none\": 0.42220744680851063,\n \"acc_stderr,none\"\ : 0.004502959606988701,\n \"prompt_level_strict_acc,none\": 0.7412199630314233,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018846992560712525,\n \ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\":\ \ {\n \"acc_norm,none\": 0.6011109182433605,\n \"acc_norm_stderr,none\"\ : 0.006120192093942356,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.844,\n\ \ \"acc_norm_stderr,none\": 0.022995023034068682\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6203208556149733,\n \"acc_norm_stderr,none\"\ : 0.03558443628801667\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.604,\n\ \ \"acc_norm_stderr,none\": 0.030993197854577898\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\":\ \ 0.030491555220405475\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.572,\n \"acc_norm_stderr,none\": 0.031355968923772626\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.696,\n \ \ \"acc_norm_stderr,none\": 0.029150213374159652\n },\n \"\ leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\": \" \ \ - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n },\n\ \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.824,\n \"acc_norm_stderr,none\": 0.024133497525457123\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\":\ \ 0.029933259094191533\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6027397260273972,\n \"acc_norm_stderr,none\": 0.040636704038880346\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.716,\n \"acc_norm_stderr,none\": 0.028576958730437443\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.796,\n \ \ \"acc_norm_stderr,none\": 0.025537121574548162\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6348314606741573,\n \"acc_norm_stderr,none\"\ : 0.03619005678691264\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.772,\n\ \ \"acc_norm_stderr,none\": 0.026587432487268498\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.02915021337415965\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.312,\n \"acc_norm_stderr,none\":\ \ 0.02936106757521985\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.516,\n\ \ \"acc_norm_stderr,none\": 0.03166998503010743\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3464765100671141,\n\ \ \"acc_norm_stderr,none\": 0.013799354494924254,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.35353535353535354,\n \"acc_norm_stderr,none\": 0.03406086723547151\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.34798534798534797,\n\ \ \"acc_norm_stderr,none\": 0.02040379284640522\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.34151785714285715,\n \"acc_norm_stderr,none\"\ : 0.022429776589214533\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7412199630314233,\n \"prompt_level_strict_acc_stderr,none\": 0.018846992560712525,\n\ \ \"inst_level_strict_acc,none\": 0.8177458033573142,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.767097966728281,\n \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n\ \ \"inst_level_loose_acc,none\": 0.8369304556354916,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.0324773413897281,\n \"exact_match_stderr,none\"\ : 0.004793317189961975,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.06514657980456026,\n\ \ \"exact_match_stderr,none\": 0.014107720843558174\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.016260162601626018,\n \"exact_match_stderr,none\": 0.011450452676925654\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.0,\n\ \ \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n\ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.025974025974025976,\n \"exact_match_stderr,none\": 0.012859058999697068\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_prealgebra_hard\",\n \"exact_match,none\": 0.08808290155440414,\n\ \ \"exact_match_stderr,none\": 0.020453746601601056\n },\n \ \ \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" - leaderboard_math_precalculus_hard\"\ ,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0\n },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \"\ \ - leaderboard_mmlu_pro\",\n \"acc,none\": 0.42220744680851063,\n \ \ \"acc_stderr,none\": 0.004502959606988701\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.41798941798941797,\n \"acc_norm_stderr,none\"\ : 0.01748438652663388,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.552,\n\ \ \"acc_norm_stderr,none\": 0.03151438761115348\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.2734375,\n \"acc_norm_stderr,none\"\ : 0.027912287939448926\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.432,\n \"acc_norm_stderr,none\": 0.03139181076542942\n\ \ }\n },\n \"leaderboard\": {\n \"acc_norm,none\": 0.5437799974056298,\n\ \ \"acc_norm_stderr,none\": 0.00533024538506611,\n \"prompt_level_loose_acc,none\"\ : 0.767097966728281,\n \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n\ \ \"exact_match,none\": 0.0324773413897281,\n \"exact_match_stderr,none\"\ : 0.004793317189961975,\n \"inst_level_strict_acc,none\": 0.8177458033573142,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"inst_level_loose_acc,none\"\ : 0.8369304556354916,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"acc,none\": 0.42220744680851063,\n \"acc_stderr,none\": 0.004502959606988701,\n\ \ \"prompt_level_strict_acc,none\": 0.7412199630314233,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.018846992560712525,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6011109182433605,\n \"acc_norm_stderr,none\"\ : 0.006120192093942356,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ ,\n \"acc_norm,none\": 0.844,\n \"acc_norm_stderr,none\": 0.022995023034068682\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6203208556149733,\n \"acc_norm_stderr,none\"\ : 0.03558443628801667\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.572,\n \"acc_norm_stderr,none\": 0.031355968923772626\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.696,\n \"acc_norm_stderr,none\": 0.029150213374159652\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.824,\n \"acc_norm_stderr,none\": 0.024133497525457123\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6027397260273972,\n\ \ \"acc_norm_stderr,none\": 0.040636704038880346\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.716,\n \"acc_norm_stderr,none\": 0.028576958730437443\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.796,\n \"acc_norm_stderr,none\": 0.025537121574548162\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6348314606741573,\n \"acc_norm_stderr,none\"\ : 0.03619005678691264\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \"\ acc_norm,none\": 0.772,\n \"acc_norm_stderr,none\": 0.026587432487268498\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.02915021337415965\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.312,\n \"acc_norm_stderr,none\": 0.02936106757521985\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3464765100671141,\n\ \ \"acc_norm_stderr,none\": 0.013799354494924254,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.35353535353535354,\n\ \ \"acc_norm_stderr,none\": 0.03406086723547151\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.34798534798534797,\n \"acc_norm_stderr,none\": 0.02040379284640522\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.34151785714285715,\n \"acc_norm_stderr,none\"\ : 0.022429776589214533\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7412199630314233,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018846992560712525,\n \ \ \"inst_level_strict_acc,none\": 0.8177458033573142,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.767097966728281,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01818926607409182,\n \"inst_level_loose_acc,none\"\ : 0.8369304556354916,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.0324773413897281,\n\ \ \"exact_match_stderr,none\": 0.004793317189961975,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.06514657980456026,\n \"exact_match_stderr,none\": 0.014107720843558174\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.016260162601626018,\n \"exact_match_stderr,none\": 0.011450452676925654\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ \ },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_num_theory_hard\"\ : {\n \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.025974025974025976,\n \"exact_match_stderr,none\": 0.012859058999697068\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.08808290155440414,\n \"exact_match_stderr,none\"\ : 0.020453746601601056\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.42220744680851063,\n\ \ \"acc_stderr,none\": 0.004502959606988701\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.41798941798941797,\n \"acc_norm_stderr,none\"\ : 0.01748438652663388,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ ,\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.03151438761115348\n\ \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ \ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.2734375,\n\ \ \"acc_norm_stderr,none\": 0.027912287939448926\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ : 0.432,\n \"acc_norm_stderr,none\": 0.03139181076542942\n }\n}\n```" repo_url: https://huggingface.co/zelk12/MT1-Gen5-gemma-2-9B leaderboard_url: '' point_of_contact: '' configs: - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_navigate data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_snarks data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_gpqa_extended data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_gpqa_main data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_gpqa_main_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_ifeval data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_ifeval_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_mmlu_pro data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_musr_object_placements data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T20-34-21.650551.jsonl' - config_name: zelk12__MT1-Gen5-gemma-2-9B__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T20_34_21.650551 path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T20-34-21.650551.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T20-34-21.650551.jsonl' --- # Dataset Card for Evaluation run of zelk12/MT1-Gen5-gemma-2-9B  Dataset automatically created during the evaluation run of model [zelk12/MT1-Gen5-gemma-2-9B](https://huggingface.co/zelk12/MT1-Gen5-gemma-2-9B) 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/zelk12__MT1-Gen5-gemma-2-9B-details", name="zelk12__MT1-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T20-34-21.650551](https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT1-Gen5-gemma-2-9B-details/blob/main/zelk12__MT1-Gen5-gemma-2-9B/results_2024-12-25T20-34-21.650551.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_norm,none": 0.5437799974056298, "acc_norm_stderr,none": 0.00533024538506611, "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "exact_match,none": 0.0324773413897281, "exact_match_stderr,none": 0.004793317189961975, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.42220744680851063, "acc_stderr,none": 0.004502959606988701, "prompt_level_strict_acc,none": 0.7412199630314233, "prompt_level_strict_acc_stderr,none": 0.018846992560712525, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6011109182433605, "acc_norm_stderr,none": 0.006120192093942356, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.844, "acc_norm_stderr,none": 0.022995023034068682 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6203208556149733, "acc_norm_stderr,none": 0.03558443628801667 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.031355968923772626 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.696, "acc_norm_stderr,none": 0.029150213374159652 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.824, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475363 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.716, "acc_norm_stderr,none": 0.028576958730437443 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.796, "acc_norm_stderr,none": 0.025537121574548162 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6348314606741573, "acc_norm_stderr,none": 0.03619005678691264 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.772, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.312, "acc_norm_stderr,none": 0.02936106757521985 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010743 }, "leaderboard_gpqa": { "acc_norm,none": 0.3464765100671141, "acc_norm_stderr,none": 0.013799354494924254, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.35353535353535354, "acc_norm_stderr,none": 0.03406086723547151 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.34798534798534797, "acc_norm_stderr,none": 0.02040379284640522 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.34151785714285715, "acc_norm_stderr,none": 0.022429776589214533 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7412199630314233, "prompt_level_strict_acc_stderr,none": 0.018846992560712525, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.0324773413897281, "exact_match_stderr,none": 0.004793317189961975, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.06514657980456026, "exact_match_stderr,none": 0.014107720843558174 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.016260162601626018, "exact_match_stderr,none": 0.011450452676925654 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.025974025974025976, "exact_match_stderr,none": 0.012859058999697068 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.08808290155440414, "exact_match_stderr,none": 0.020453746601601056 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.42220744680851063, "acc_stderr,none": 0.004502959606988701 }, "leaderboard_musr": { "acc_norm,none": 0.41798941798941797, "acc_norm_stderr,none": 0.01748438652663388, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.03151438761115348 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2734375, "acc_norm_stderr,none": 0.027912287939448926 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.432, "acc_norm_stderr,none": 0.03139181076542942 } }, "leaderboard": { "acc_norm,none": 0.5437799974056298, "acc_norm_stderr,none": 0.00533024538506611, "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "exact_match,none": 0.0324773413897281, "exact_match_stderr,none": 0.004793317189961975, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.42220744680851063, "acc_stderr,none": 0.004502959606988701, "prompt_level_strict_acc,none": 0.7412199630314233, "prompt_level_strict_acc_stderr,none": 0.018846992560712525, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6011109182433605, "acc_norm_stderr,none": 0.006120192093942356, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.844, "acc_norm_stderr,none": 0.022995023034068682 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6203208556149733, "acc_norm_stderr,none": 0.03558443628801667 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.031355968923772626 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.696, "acc_norm_stderr,none": 0.029150213374159652 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.824, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475363 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.716, "acc_norm_stderr,none": 0.028576958730437443 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.796, "acc_norm_stderr,none": 0.025537121574548162 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6348314606741573, "acc_norm_stderr,none": 0.03619005678691264 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.772, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.312, "acc_norm_stderr,none": 0.02936106757521985 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010743 }, "leaderboard_gpqa": { "acc_norm,none": 0.3464765100671141, "acc_norm_stderr,none": 0.013799354494924254, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.35353535353535354, "acc_norm_stderr,none": 0.03406086723547151 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.34798534798534797, "acc_norm_stderr,none": 0.02040379284640522 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.34151785714285715, "acc_norm_stderr,none": 0.022429776589214533 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7412199630314233, "prompt_level_strict_acc_stderr,none": 0.018846992560712525, "inst_level_strict_acc,none": 0.8177458033573142, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.767097966728281, "prompt_level_loose_acc_stderr,none": 0.01818926607409182, "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.0324773413897281, "exact_match_stderr,none": 0.004793317189961975, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.06514657980456026, "exact_match_stderr,none": 0.014107720843558174 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.016260162601626018, "exact_match_stderr,none": 0.011450452676925654 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.025974025974025976, "exact_match_stderr,none": 0.012859058999697068 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.08808290155440414, "exact_match_stderr,none": 0.020453746601601056 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.42220744680851063, "acc_stderr,none": 0.004502959606988701 }, "leaderboard_musr": { "acc_norm,none": 0.41798941798941797, "acc_norm_stderr,none": 0.01748438652663388, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.03151438761115348 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2734375, "acc_norm_stderr,none": 0.027912287939448926 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.432, "acc_norm_stderr,none": 0.03139181076542942 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

extraordinarylab/infinity-instruct-inverse

extraordinarylab

"2024-12-25T20:38:05Z"

0

[ "region:us" ]

null

"2024-12-25T20:34:42Z"

--- dataset_info: config_name: 660k features: - name: id dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string - name: label struct: - name: ability_en sequence: string - name: ability_zh sequence: string - name: cate_ability_en sequence: string - name: cate_ability_zh sequence: string - name: langdetect dtype: string - name: source dtype: string - name: inverse_conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 4643256198 num_examples: 659808 download_size: 2457257628 dataset_size: 4643256198 configs: - config_name: 660k data_files: - split: train path: 660k/train-* ---

dgambettavuw/D_gen10_run2_llama2-7b_sciabs_doc1000_real32_synt96_vuw

dgambettavuw

"2024-12-25T20:42:40Z"

0

[ "region:us" ]

null

"2024-12-25T20:42:36Z"

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 636107 num_examples: 1000 download_size: 257601 dataset_size: 636107 configs: - config_name: default data_files: - split: train path: data/train-* ---

spiralworks/lg_domain_gen_2015_2020_test_2

spiralworks

"2024-12-25T21:25:43Z"

0

[ "region:us" ]

null

"2024-12-25T20:47:00Z"

--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: authors sequence: string - name: abstract dtype: string - name: year dtype: string - name: venue dtype: string - name: keywords sequence: string - name: pdf_url dtype: string - name: forum_url dtype: string - name: forum_raw_text dtype: string - name: reviews_raw_text dtype: string - name: average_rating dtype: float64 - name: average_confidence dtype: float64 - name: reviews dtype: string splits: - name: train num_bytes: 40140579 num_examples: 1019 download_size: 19796051 dataset_size: 40140579 configs: - config_name: default data_files: - split: train path: data/train-* ---

violetxi/MATH-500_L4_best_first_N128_B4_D15_T0.0001_41-128

violetxi

"2024-12-26T00:08:23Z"

0

[ "region:us" ]

null

"2024-12-25T20:47:13Z"

--- dataset_info: features: - name: problem dtype: string - name: solution dtype: string - name: search_trace_with_values dtype: string - name: search_method dtype: string - name: ground_truth dtype: string - name: search_input_tokens dtype: int64 - name: search_output_tokens dtype: int64 - name: solution_input_tokens dtype: int64 - name: solution_output_tokens dtype: int64 splits: - name: train num_bytes: 40314 num_examples: 10 download_size: 30594 dataset_size: 40314 configs: - config_name: default data_files: - split: train path: data/train-* ---

ParsBench/PersianSyntheticEmotions

ParsBench

"2024-12-25T20:58:40Z"

0

[ "language:fa", "license:apache-2.0", "size_categories:1K<n<10K", "region:us", "persian", "emotion", "synthetic", "text-classification" ]

null

"2024-12-25T20:49:21Z"

--- license: apache-2.0 tags: - persian - emotion - synthetic - text-classification language: - fa size_categories: - 1K<n<10K --- # PersianSyntheticEmotions Dataset This dataset contains 8,751 Persian text records synthetically generated using the GPT-4o model, labeled with Ekman's six basic emotions. The dataset is sourced from [PersianSyntheticData](https://github.com/ParsBench/PersianSyntheticData). ## Dataset Description ### Dataset Summary The PersianSyntheticEmotions dataset is a collection of Persian texts labeled with six emotion classes based on Ekman's basic emotions theory. The data is synthetically generated, making it useful for training emotion classification models for Persian language tasks. ### Supported Tasks - Text Classification - Emotion Recognition - Sentiment Analysis ### Languages - Persian (fa) ### Loading the Dataset ```python from datasets import load_dataset dataset = load_dataset("ParsBench/PersianSyntheticEmotions") ``` ### Dataset Structure The dataset contains the following emotion classes: - Joy (شادی) - Sadness (غم) - Anger (خشم) - Fear (ترس) - Disgust (تنفر) - Surprise (تعجب) Total number of examples: 10,000 ### Data Fields - `text`: Persian text content - `label`: Emotion class label (one of the six Ekman emotions) ### Data Splits The data is provided in JSONL format in the `data` directory. ### Data Samples ```json { "text": "دیروز در جشنواره محلی روستا شرکت کردم و از دیدن رقص‌های محلی و غذاهای سنتی بسیار لذت بردم.", "label": "شادی" } ``` ### Dataset Statistics | Emotion Label | Count | |--------------|-------| | شادی (Joy) | 2746 | | غم (Sadness) | 1638 | | تعجب (Surprise) | 1282 | | خشم (Anger) | 1011 | | ترس (Fear) | 1124 | | نفرت (Disgust) | 950 | ### Source Data The dataset is derived from the [PersianSyntheticData](https://github.com/ParsBench/PersianSyntheticData) project. The texts were generated using the GPT-4 model and annotated with appropriate emotion labels. ### Considerations for Using the Data Since this is synthetic data generated by AI: - The quality and naturalness of the text may vary - The data might not perfectly represent real-world emotion expressions - It's recommended to validate the model's performance on real-world data ## Additional Information ### Dataset Curators This dataset was curated by the ParsBench team. ### Licensing Information This dataset is licensed under Apache 2.0 License. ### Citation Information If you use this dataset, please cite the original work: ```bibtex @dataset{ParsBench/PersianSyntheticEmotions, author = {ParsBench}, title = {PersianSyntheticEmotions}, year = {2025}, url = {https://github.com/ParsBench/PersianSyntheticEmotions} } ``` ### Contributions Thanks to the ParsBench team for creating and sharing this dataset.

fernandabufon/eng_to_pt_qwq32b

fernandabufon

"2024-12-25T20:49:35Z"

0

[ "region:us" ]

null

"2024-12-25T20:49:33Z"

--- dataset_info: features: - name: id dtype: string - name: text dtype: string - name: translation dtype: string - name: Anger dtype: int64 - name: Fear dtype: int64 - name: Joy dtype: int64 - name: Sadness dtype: int64 - name: Surprise dtype: int64 - name: prompt_style dtype: string - name: inference_time dtype: float64 - name: inference_total_time dtype: float64 - name: inference_average_time dtype: float64 splits: - name: train num_bytes: 9881 num_examples: 3 download_size: 12542 dataset_size: 9881 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/qingy2024__Falcon3-2x10B-MoE-Instruct-details

open-llm-leaderboard

"2024-12-25T20:54:44Z"

0

[ "region:us" ]

null

"2024-12-25T20:51:46Z"

--- pretty_name: Evaluation run of qingy2024/Falcon3-2x10B-MoE-Instruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [qingy2024/Falcon3-2x10B-MoE-Instruct](https://huggingface.co/qingy2024/Falcon3-2x10B-MoE-Instruct)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/qingy2024__Falcon3-2x10B-MoE-Instruct-details\"\ ,\n\tname=\"qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T20-51-45.563361](https://huggingface.co/datasets/open-llm-leaderboard/qingy2024__Falcon3-2x10B-MoE-Instruct-details/blob/main/qingy2024__Falcon3-2x10B-MoE-Instruct/results_2024-12-25T20-51-45.563361.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_norm,none\": 0.553508885717992,\n \"acc_norm_stderr,none\"\ : 0.005255748604320327,\n \"inst_level_loose_acc,none\": 0.8465227817745803,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"inst_level_strict_acc,none\"\ : 0.8213429256594724,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ ,\n \"prompt_level_strict_acc,none\": 0.7486136783733827,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.018668216152240437,\n \ \ \"acc,none\": 0.44232047872340424,\n \"acc_stderr,none\": 0.004528037433703766,\n\ \ \"prompt_level_loose_acc,none\": 0.7763401109057301,\n \"\ prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n \"exact_match,none\"\ : 0.25755287009063443,\n \"exact_match_stderr,none\": 0.011203792279195409,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6162124631140427,\n \"acc_norm_stderr,none\"\ : 0.006015865354691821,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.876,\n\ \ \"acc_norm_stderr,none\": 0.020886382258673272\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6417112299465241,\n \"acc_norm_stderr,none\"\ : 0.03515846823665025\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.716,\n\ \ \"acc_norm_stderr,none\": 0.028576958730437443\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\":\ \ 0.029933259094191533\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.7,\n \ \ \"acc_norm_stderr,none\": 0.029040893477575786\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n\ \ \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.03114520984654851\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.82,\n \"acc_norm_stderr,none\": 0.02434689065029351\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.772,\n \"acc_norm_stderr,none\": 0.026587432487268498\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\":\ \ 0.029933259094191533\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6027397260273972,\n \"acc_norm_stderr,none\": 0.040636704038880346\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.732,\n \ \ \"acc_norm_stderr,none\": 0.02806876238252672\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ ,\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\":\ \ 0.030881038748993974\n },\n \"leaderboard_bbh_snarks\": {\n \ \ \"alias\": \" - leaderboard_bbh_snarks\",\n \"acc_norm,none\"\ : 0.8033707865168539,\n \"acc_norm_stderr,none\": 0.029874139553421764\n\ \ },\n \"leaderboard_bbh_sports_understanding\": {\n \"\ alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465857\n },\n\ \ \"leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" -\ \ leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.752,\n\ \ \"acc_norm_stderr,none\": 0.027367497504863593\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.236,\n \"acc_norm_stderr,none\": 0.026909337594953852\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\":\ \ 0.02721799546455311\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.536,\n\ \ \"acc_norm_stderr,none\": 0.031603975145223735\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.33053691275167785,\n\ \ \"acc_norm_stderr,none\": 0.013638887761635785,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.35353535353535354,\n \"acc_norm_stderr,none\": 0.03406086723547151\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.326007326007326,\n\ \ \"acc_norm_stderr,none\": 0.0200790433174674\n },\n \"\ leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.32589285714285715,\n \"acc_norm_stderr,none\"\ : 0.02216910313464343\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7486136783733827,\n \"prompt_level_strict_acc_stderr,none\": 0.018668216152240437,\n\ \ \"inst_level_strict_acc,none\": 0.8213429256594724,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7763401109057301,\n \"prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n\ \ \"inst_level_loose_acc,none\": 0.8465227817745803,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.25755287009063443,\n \"exact_match_stderr,none\"\ : 0.011203792279195409,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.46254071661237783,\n\ \ \"exact_match_stderr,none\": 0.028502769163031596\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.18699186991869918,\n \"exact_match_stderr,none\": 0.03530034023230448\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.07575757575757576,\n\ \ \"exact_match_stderr,none\": 0.023119068741795586\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.07857142857142857,\n \"exact_match_stderr,none\": 0.016108721027177985\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.3246753246753247,\n\ \ \"exact_match_stderr,none\": 0.03785604468377516\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.40414507772020725,\n \"exact_match_stderr,none\"\ : 0.0354150857888402\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.11851851851851852,\n \"exact_match_stderr,none\"\ : 0.027922050250639006\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.44232047872340424,\n\ \ \"acc_stderr,none\": 0.004528037433703766\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.42724867724867727,\n \"acc_norm_stderr,none\"\ : 0.017554674138374065,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.564,\n\ \ \"acc_norm_stderr,none\": 0.03142556706028136\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.2890625,\n \"acc_norm_stderr,none\"\ : 0.02838843806999465\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.432,\n \"acc_norm_stderr,none\": 0.03139181076542942\n\ \ }\n },\n \"leaderboard\": {\n \"acc_norm,none\": 0.553508885717992,\n\ \ \"acc_norm_stderr,none\": 0.005255748604320327,\n \"inst_level_loose_acc,none\"\ : 0.8465227817745803,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"inst_level_strict_acc,none\": 0.8213429256594724,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_strict_acc,none\": 0.7486136783733827,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.018668216152240437,\n \"\ acc,none\": 0.44232047872340424,\n \"acc_stderr,none\": 0.004528037433703766,\n\ \ \"prompt_level_loose_acc,none\": 0.7763401109057301,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.017931771054658346,\n \"exact_match,none\": 0.25755287009063443,\n \ \ \"exact_match_stderr,none\": 0.011203792279195409,\n \"alias\": \"\ leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6162124631140427,\n\ \ \"acc_norm_stderr,none\": 0.006015865354691821,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ : 0.876,\n \"acc_norm_stderr,none\": 0.020886382258673272\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6417112299465241,\n \"acc_norm_stderr,none\"\ : 0.03515846823665025\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.716,\n \"acc_norm_stderr,none\": 0.028576958730437443\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.7,\n \"acc_norm_stderr,none\": 0.029040893477575786\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.03114520984654851\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.82,\n \"acc_norm_stderr,none\": 0.02434689065029351\n },\n \"leaderboard_bbh_movie_recommendation\"\ : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"\ acc_norm,none\": 0.772,\n \"acc_norm_stderr,none\": 0.026587432487268498\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6027397260273972,\n\ \ \"acc_norm_stderr,none\": 0.040636704038880346\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993974\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.8033707865168539,\n \"acc_norm_stderr,none\"\ : 0.029874139553421764\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465857\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.752,\n \"acc_norm_stderr,none\": 0.027367497504863593\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.236,\n \"acc_norm_stderr,none\": 0.026909337594953852\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\": 0.031603975145223735\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.33053691275167785,\n\ \ \"acc_norm_stderr,none\": 0.013638887761635785,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.35353535353535354,\n\ \ \"acc_norm_stderr,none\": 0.03406086723547151\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.326007326007326,\n \"acc_norm_stderr,none\": 0.0200790433174674\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.32589285714285715,\n \"acc_norm_stderr,none\"\ : 0.02216910313464343\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7486136783733827,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018668216152240437,\n \ \ \"inst_level_strict_acc,none\": 0.8213429256594724,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7763401109057301,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.017931771054658346,\n \"inst_level_loose_acc,none\"\ : 0.8465227817745803,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.25755287009063443,\n\ \ \"exact_match_stderr,none\": 0.011203792279195409,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.46254071661237783,\n \"exact_match_stderr,none\": 0.028502769163031596\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.18699186991869918,\n \"exact_match_stderr,none\": 0.03530034023230448\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.07575757575757576,\n \"exact_match_stderr,none\"\ : 0.023119068741795586\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.07857142857142857,\n \"exact_match_stderr,none\"\ : 0.016108721027177985\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.3246753246753247,\n \"exact_match_stderr,none\": 0.03785604468377516\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.40414507772020725,\n \"exact_match_stderr,none\"\ : 0.0354150857888402\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.11851851851851852,\n \"exact_match_stderr,none\": 0.027922050250639006\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.44232047872340424,\n \"acc_stderr,none\": 0.004528037433703766\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.42724867724867727,\n\ \ \"acc_norm_stderr,none\": 0.017554674138374065,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.2890625,\n \"acc_norm_stderr,none\": 0.02838843806999465\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.432,\n \"acc_norm_stderr,none\": 0.03139181076542942\n\ \ }\n}\n```" repo_url: https://huggingface.co/qingy2024/Falcon3-2x10B-MoE-Instruct leaderboard_url: '' point_of_contact: '' configs: - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_navigate data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_snarks data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_gpqa_extended data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_gpqa_main data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_gpqa_main_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_ifeval data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_ifeval_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_mmlu_pro data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_musr_object_placements data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T20-51-45.563361.jsonl' - config_name: qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T20_51_45.563361 path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T20-51-45.563361.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T20-51-45.563361.jsonl' --- # Dataset Card for Evaluation run of qingy2024/Falcon3-2x10B-MoE-Instruct  Dataset automatically created during the evaluation run of model [qingy2024/Falcon3-2x10B-MoE-Instruct](https://huggingface.co/qingy2024/Falcon3-2x10B-MoE-Instruct) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/qingy2024__Falcon3-2x10B-MoE-Instruct-details", name="qingy2024__Falcon3-2x10B-MoE-Instruct__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T20-51-45.563361](https://huggingface.co/datasets/open-llm-leaderboard/qingy2024__Falcon3-2x10B-MoE-Instruct-details/blob/main/qingy2024__Falcon3-2x10B-MoE-Instruct/results_2024-12-25T20-51-45.563361.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_norm,none": 0.553508885717992, "acc_norm_stderr,none": 0.005255748604320327, "inst_level_loose_acc,none": 0.8465227817745803, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.8213429256594724, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.7486136783733827, "prompt_level_strict_acc_stderr,none": 0.018668216152240437, "acc,none": 0.44232047872340424, "acc_stderr,none": 0.004528037433703766, "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "exact_match,none": 0.25755287009063443, "exact_match_stderr,none": 0.011203792279195409, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6162124631140427, "acc_norm_stderr,none": 0.006015865354691821, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.876, "acc_norm_stderr,none": 0.020886382258673272 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6417112299465241, "acc_norm_stderr,none": 0.03515846823665025 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.716, "acc_norm_stderr,none": 0.028576958730437443 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.029040893477575786 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.82, "acc_norm_stderr,none": 0.02434689065029351 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.772, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.732, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.612, "acc_norm_stderr,none": 0.030881038748993974 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8033707865168539, "acc_norm_stderr,none": 0.029874139553421764 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.236, "acc_norm_stderr,none": 0.026909337594953852 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.34, "acc_norm_stderr,none": 0.030020073605457873 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_gpqa": { "acc_norm,none": 0.33053691275167785, "acc_norm_stderr,none": 0.013638887761635785, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.35353535353535354, "acc_norm_stderr,none": 0.03406086723547151 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.326007326007326, "acc_norm_stderr,none": 0.0200790433174674 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.32589285714285715, "acc_norm_stderr,none": 0.02216910313464343 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7486136783733827, "prompt_level_strict_acc_stderr,none": 0.018668216152240437, "inst_level_strict_acc,none": 0.8213429256594724, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "inst_level_loose_acc,none": 0.8465227817745803, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.25755287009063443, "exact_match_stderr,none": 0.011203792279195409, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.46254071661237783, "exact_match_stderr,none": 0.028502769163031596 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.18699186991869918, "exact_match_stderr,none": 0.03530034023230448 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.07575757575757576, "exact_match_stderr,none": 0.023119068741795586 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.07857142857142857, "exact_match_stderr,none": 0.016108721027177985 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.3246753246753247, "exact_match_stderr,none": 0.03785604468377516 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.40414507772020725, "exact_match_stderr,none": 0.0354150857888402 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.11851851851851852, "exact_match_stderr,none": 0.027922050250639006 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.44232047872340424, "acc_stderr,none": 0.004528037433703766 }, "leaderboard_musr": { "acc_norm,none": 0.42724867724867727, "acc_norm_stderr,none": 0.017554674138374065, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2890625, "acc_norm_stderr,none": 0.02838843806999465 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.432, "acc_norm_stderr,none": 0.03139181076542942 } }, "leaderboard": { "acc_norm,none": 0.553508885717992, "acc_norm_stderr,none": 0.005255748604320327, "inst_level_loose_acc,none": 0.8465227817745803, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.8213429256594724, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.7486136783733827, "prompt_level_strict_acc_stderr,none": 0.018668216152240437, "acc,none": 0.44232047872340424, "acc_stderr,none": 0.004528037433703766, "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "exact_match,none": 0.25755287009063443, "exact_match_stderr,none": 0.011203792279195409, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6162124631140427, "acc_norm_stderr,none": 0.006015865354691821, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.876, "acc_norm_stderr,none": 0.020886382258673272 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6417112299465241, "acc_norm_stderr,none": 0.03515846823665025 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.716, "acc_norm_stderr,none": 0.028576958730437443 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.029040893477575786 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.82, "acc_norm_stderr,none": 0.02434689065029351 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.772, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.732, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.612, "acc_norm_stderr,none": 0.030881038748993974 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8033707865168539, "acc_norm_stderr,none": 0.029874139553421764 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.236, "acc_norm_stderr,none": 0.026909337594953852 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.34, "acc_norm_stderr,none": 0.030020073605457873 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.031603975145223735 }, "leaderboard_gpqa": { "acc_norm,none": 0.33053691275167785, "acc_norm_stderr,none": 0.013638887761635785, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.35353535353535354, "acc_norm_stderr,none": 0.03406086723547151 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.326007326007326, "acc_norm_stderr,none": 0.0200790433174674 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.32589285714285715, "acc_norm_stderr,none": 0.02216910313464343 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7486136783733827, "prompt_level_strict_acc_stderr,none": 0.018668216152240437, "inst_level_strict_acc,none": 0.8213429256594724, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7763401109057301, "prompt_level_loose_acc_stderr,none": 0.017931771054658346, "inst_level_loose_acc,none": 0.8465227817745803, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.25755287009063443, "exact_match_stderr,none": 0.011203792279195409, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.46254071661237783, "exact_match_stderr,none": 0.028502769163031596 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.18699186991869918, "exact_match_stderr,none": 0.03530034023230448 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.07575757575757576, "exact_match_stderr,none": 0.023119068741795586 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.07857142857142857, "exact_match_stderr,none": 0.016108721027177985 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.3246753246753247, "exact_match_stderr,none": 0.03785604468377516 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.40414507772020725, "exact_match_stderr,none": 0.0354150857888402 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.11851851851851852, "exact_match_stderr,none": 0.027922050250639006 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.44232047872340424, "acc_stderr,none": 0.004528037433703766 }, "leaderboard_musr": { "acc_norm,none": 0.42724867724867727, "acc_norm_stderr,none": 0.017554674138374065, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2890625, "acc_norm_stderr,none": 0.02838843806999465 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.432, "acc_norm_stderr,none": 0.03139181076542942 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr_ep3tmp10

1231czx

"2024-12-25T20:58:08Z"

0

[ "region:us" ]

null

"2024-12-25T20:58:06Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 19417822 num_examples: 5000 download_size: 7664136 dataset_size: 19417822 configs: - config_name: default data_files: - split: train path: data/train-* ---

1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr_ep3tmp07

1231czx

"2024-12-25T21:04:53Z"

0

[ "region:us" ]

null

"2024-12-25T21:04:51Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18656371 num_examples: 5000 download_size: 6400469 dataset_size: 18656371 configs: - config_name: default data_files: - split: train path: data/train-* ---

selfcorrexp2/llama31_first_wrong_and_10kfirst_corr_regular_norr_20k

selfcorrexp2

"2024-12-25T21:07:11Z"

0

[ "region:us" ]

null

"2024-12-25T21:07:03Z"

--- dataset_info: features: - name: idx dtype: int64 - name: prompt dtype: string - name: answers sequence: string - name: first_round dtype: bool - name: gt dtype: string - name: rewards sequence: bool - name: my_solu sequence: string - name: flag dtype: bool - name: turn dtype: int64 - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 341281757.4332316 num_examples: 20000 download_size: 154300962 dataset_size: 341281757.4332316 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettavuw/D_gen0_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw

dgambettavuw

"2024-12-25T21:07:31Z"

0

[ "region:us" ]

null

"2024-12-25T21:07:27Z"

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 814493 num_examples: 1000 download_size: 437382 dataset_size: 814493 configs: - config_name: default data_files: - split: train path: data/train-* ---

selfcorrexp2/llama31_first_wrong_and_20kfirst_corr_regular_norr_20k

selfcorrexp2

"2024-12-25T21:08:39Z"

0

[ "region:us" ]

null

"2024-12-25T21:08:10Z"

--- dataset_info: features: - name: idx dtype: int64 - name: prompt dtype: string - name: answers sequence: string - name: first_round dtype: bool - name: gt dtype: string - name: rewards sequence: bool - name: my_solu sequence: string - name: flag dtype: bool - name: turn dtype: int64 - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 338968859.6649252 num_examples: 20000 download_size: 152955034 dataset_size: 338968859.6649252 configs: - config_name: default data_files: - split: train path: data/train-* ---

selfcorrexp2/llama31_first_wrong_and_40kfirst_corr_regular_norr_20k

selfcorrexp2

"2024-12-25T21:10:27Z"

0

[ "region:us" ]

null

"2024-12-25T21:09:55Z"

--- dataset_info: features: - name: idx dtype: int64 - name: prompt dtype: string - name: answers sequence: string - name: first_round dtype: bool - name: gt dtype: string - name: rewards sequence: bool - name: my_solu sequence: string - name: flag dtype: bool - name: turn dtype: int64 - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 335131585.7217776 num_examples: 20000 download_size: 151093042 dataset_size: 335131585.7217776 configs: - config_name: default data_files: - split: train path: data/train-* ---

1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr_ep3tmp0

1231czx

"2024-12-25T21:11:28Z"

0

[ "region:us" ]

null

"2024-12-25T21:11:27Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18517501 num_examples: 5000 download_size: 5853206 dataset_size: 18517501 configs: - config_name: default data_files: - split: train path: data/train-* ---

ParsBench/Persian-NoRobots

ParsBench

"2024-12-25T21:15:05Z"

0

[ "license:cc-by-nc-4.0", "region:us" ]

null

"2024-12-25T21:15:05Z"

--- license: cc-by-nc-4.0 ---

Pattosan/my-distiset-55a6b53b

Pattosan

"2024-12-25T21:15:52Z"

0

[ "size_categories:n<1K", "library:distilabel", "region:us", "synthetic", "distilabel", "rlaif", "datacraft" ]

null

"2024-12-25T21:15:50Z"

--- size_categories: n<1K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': failed '1': degrading '2': operational splits: - name: train num_bytes: 2626 num_examples: 10 download_size: 3637 dataset_size: 2626 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for my-distiset-55a6b53b This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/Pattosan/my-distiset-55a6b53b/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/Pattosan/my-distiset-55a6b53b/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "label": 1, "text": "The vibrational spectral density analysis reveals a statistically significant trend towards increased amplitude modulation in the lath machine\u0027s radial direction, concurrently with a decrease in spectral power within the 100-200 Hz frequency band." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("Pattosan/my-distiset-55a6b53b", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("Pattosan/my-distiset-55a6b53b") ``` </details>

open-llm-leaderboard/zelk12__MT2-Gen5-gemma-2-9B-details

open-llm-leaderboard

"2024-12-25T21:19:19Z"

0

[ "region:us" ]

null

"2024-12-25T21:16:20Z"

--- pretty_name: Evaluation run of zelk12/MT2-Gen5-gemma-2-9B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [zelk12/MT2-Gen5-gemma-2-9B](https://huggingface.co/zelk12/MT2-Gen5-gemma-2-9B)\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/zelk12__MT2-Gen5-gemma-2-9B-details\"\ ,\n\tname=\"zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions\",\n\ \tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T21-16-19.023125](https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT2-Gen5-gemma-2-9B-details/blob/main/zelk12__MT2-Gen5-gemma-2-9B/results_2024-12-25T21-16-19.023125.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\ \ \"exact_match,none\": 0.0634441087613293,\n \"exact_match_stderr,none\"\ : 0.006514547849699374,\n \"acc_norm,none\": 0.5484498637955636,\n \ \ \"acc_norm_stderr,none\": 0.005325974810950849,\n \"inst_level_loose_acc,none\"\ : 0.841726618705036,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"acc,none\": 0.43018617021276595,\n \"acc_stderr,none\"\ : 0.004513816000062881,\n \"inst_level_strict_acc,none\": 0.8141486810551559,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.7356746765249538,\n \"prompt_level_strict_acc_stderr,none\": 0.018976469193346637,\n\ \ \"prompt_level_loose_acc,none\": 0.7707948243992606,\n \"\ prompt_level_loose_acc_stderr,none\": 0.018087757424955286,\n \"alias\"\ : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.6056240236070126,\n \"acc_norm_stderr,none\": 0.0061087361491088685,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ \ \"acc_norm,none\": 0.844,\n \"acc_norm_stderr,none\": 0.022995023034068682\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.6310160427807486,\n\ \ \"acc_norm_stderr,none\": 0.03538078548260318\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ ,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.64,\n\ \ \"acc_norm_stderr,none\": 0.03041876402517494\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.628,\n \"acc_norm_stderr,none\":\ \ 0.03063032594455827\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.68,\n \ \ \"acc_norm_stderr,none\": 0.02956172495524098\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\":\ \ 0.03139181076542941\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.824,\n \"acc_norm_stderr,none\": 0.024133497525457123\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\":\ \ 0.03010450339231644\n },\n \"leaderboard_bbh_object_counting\":\ \ {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.352,\n \"acc_norm_stderr,none\": 0.030266288057359866\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6027397260273972,\n \"acc_norm_stderr,none\": 0.040636704038880346\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.728,\n \"acc_norm_stderr,none\": 0.028200088296309975\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.784,\n \ \ \"acc_norm_stderr,none\": 0.02607865766373279\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ ,\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" -\ \ leaderboard_bbh_snarks\",\n \"acc_norm,none\": 0.651685393258427,\n\ \ \"acc_norm_stderr,none\": 0.035811144737534356\n },\n \ \ \"leaderboard_bbh_sports_understanding\": {\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ ,\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\":\ \ 0.02496069198917196\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \ \ \"acc_norm,none\": 0.788,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.029040893477575783\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\":\ \ 0.02915021337415965\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.52,\n \ \ \"acc_norm_stderr,none\": 0.03166085340849512\n },\n \"\ leaderboard_gpqa\": {\n \"acc_norm,none\": 0.35151006711409394,\n \ \ \"acc_norm_stderr,none\": 0.013838506941827745,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3838383838383838,\n \"acc_norm_stderr,none\": 0.03464881675016338\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.3516483516483517,\n\ \ \"acc_norm_stderr,none\": 0.02045320407062836\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33705357142857145,\n \"acc_norm_stderr,none\"\ : 0.02235810146577637\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7356746765249538,\n \"prompt_level_strict_acc_stderr,none\": 0.018976469193346637,\n\ \ \"inst_level_strict_acc,none\": 0.8141486810551559,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7707948243992606,\n \"prompt_level_loose_acc_stderr,none\": 0.018087757424955286,\n\ \ \"inst_level_loose_acc,none\": 0.841726618705036,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\"\n },\n \"leaderboard_math_hard\": {\n \"exact_match,none\"\ : 0.0634441087613293,\n \"exact_match_stderr,none\": 0.006514547849699374,\n\ \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_algebra_hard\",\n \ \ \"exact_match,none\": 0.13680781758957655,\n \"exact_match_stderr,none\"\ : 0.019644839884927132\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\",\n \ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0\n },\n \"leaderboard_math_geometry_hard\": {\n \"\ alias\": \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\"\ : 0.022727272727272728,\n \"exact_match_stderr,none\": 0.0130210469090637\n\ \ },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.010714285714285714,\n \"exact_match_stderr,none\"\ : 0.006163684194761604\n },\n \"leaderboard_math_num_theory_hard\"\ : {\n \"alias\": \" - leaderboard_math_num_theory_hard\",\n \ \ \"exact_match,none\": 0.06493506493506493,\n \"exact_match_stderr,none\"\ : 0.01992116854149014\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \ \ \"exact_match,none\": 0.13471502590673576,\n \"exact_match_stderr,none\"\ : 0.02463978909770943\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.43018617021276595,\n \"acc_stderr,none\"\ : 0.004513816000062881\n },\n \"leaderboard_musr\": {\n \ \ \"acc_norm,none\": 0.42328042328042326,\n \"acc_norm_stderr,none\"\ : 0.017504600542222602,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.564,\n\ \ \"acc_norm_stderr,none\": 0.03142556706028136\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.28125,\n \"acc_norm_stderr,none\"\ : 0.028155620586096754\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.428,\n \"acc_norm_stderr,none\": 0.031355968923772626\n\ \ }\n },\n \"leaderboard\": {\n \"exact_match,none\": 0.0634441087613293,\n\ \ \"exact_match_stderr,none\": 0.006514547849699374,\n \"acc_norm,none\"\ : 0.5484498637955636,\n \"acc_norm_stderr,none\": 0.005325974810950849,\n\ \ \"inst_level_loose_acc,none\": 0.841726618705036,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"acc,none\": 0.43018617021276595,\n \"acc_stderr,none\"\ : 0.004513816000062881,\n \"inst_level_strict_acc,none\": 0.8141486810551559,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.7356746765249538,\n \"prompt_level_strict_acc_stderr,none\": 0.018976469193346637,\n\ \ \"prompt_level_loose_acc,none\": 0.7707948243992606,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.018087757424955286,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6056240236070126,\n \"acc_norm_stderr,none\"\ : 0.0061087361491088685,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ ,\n \"acc_norm,none\": 0.844,\n \"acc_norm_stderr,none\": 0.022995023034068682\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6310160427807486,\n \"acc_norm_stderr,none\"\ : 0.03538078548260318\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\"\ : 0.64,\n \"acc_norm_stderr,none\": 0.03041876402517494\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\",\n \"acc_norm,none\"\ : 0.628,\n \"acc_norm_stderr,none\": 0.03063032594455827\n },\n \"\ leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.68,\n \"acc_norm_stderr,none\": 0.02956172495524098\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.824,\n \"acc_norm_stderr,none\": 0.024133497525457123\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\": 0.03010450339231644\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.352,\n \"acc_norm_stderr,none\": 0.030266288057359866\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6027397260273972,\n\ \ \"acc_norm_stderr,none\": 0.040636704038880346\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.728,\n \"acc_norm_stderr,none\": 0.028200088296309975\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.784,\n \"acc_norm_stderr,none\": 0.02607865766373279\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.651685393258427,\n \"acc_norm_stderr,none\"\ : 0.035811144737534356\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.808,\n \"acc_norm_stderr,none\": 0.02496069198917196\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.788,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.029040893477575783\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.02915021337415965\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.35151006711409394,\n\ \ \"acc_norm_stderr,none\": 0.013838506941827745,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3838383838383838,\n\ \ \"acc_norm_stderr,none\": 0.03464881675016338\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.3516483516483517,\n \"acc_norm_stderr,none\": 0.02045320407062836\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33705357142857145,\n \"acc_norm_stderr,none\"\ : 0.02235810146577637\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7356746765249538,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.018976469193346637,\n \ \ \"inst_level_strict_acc,none\": 0.8141486810551559,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7707948243992606,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.018087757424955286,\n \"inst_level_loose_acc,none\"\ : 0.841726618705036,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.0634441087613293,\n\ \ \"exact_match_stderr,none\": 0.006514547849699374,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.13680781758957655,\n \"exact_match_stderr,none\": 0.019644839884927132\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_geometry_hard\"\ : {\n \"alias\": \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\"\ : 0.022727272727272728,\n \"exact_match_stderr,none\": 0.0130210469090637\n\ \ },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.010714285714285714,\n \"exact_match_stderr,none\": 0.006163684194761604\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ ,\n \"exact_match,none\": 0.06493506493506493,\n \"exact_match_stderr,none\"\ : 0.01992116854149014\n },\n \"leaderboard_math_prealgebra_hard\": {\n \ \ \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \"exact_match,none\"\ : 0.13471502590673576,\n \"exact_match_stderr,none\": 0.02463978909770943\n\ \ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" -\ \ leaderboard_math_precalculus_hard\",\n \"exact_match,none\": 0.0,\n \ \ \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_mmlu_pro\": {\n\ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.43018617021276595,\n\ \ \"acc_stderr,none\": 0.004513816000062881\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.42328042328042326,\n \"acc_norm_stderr,none\"\ : 0.017504600542222602,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ ,\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136\n\ \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ \ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.28125,\n \ \ \"acc_norm_stderr,none\": 0.028155620586096754\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ : 0.428,\n \"acc_norm_stderr,none\": 0.031355968923772626\n }\n}\n```" repo_url: https://huggingface.co/zelk12/MT2-Gen5-gemma-2-9B leaderboard_url: '' point_of_contact: '' configs: - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_navigate data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_snarks data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_gpqa_extended data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_gpqa_main data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_gpqa_main_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_ifeval data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_ifeval_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_mmlu_pro data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_musr_object_placements data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T21-16-19.023125.jsonl' - config_name: zelk12__MT2-Gen5-gemma-2-9B__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T21_16_19.023125 path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T21-16-19.023125.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T21-16-19.023125.jsonl' --- # Dataset Card for Evaluation run of zelk12/MT2-Gen5-gemma-2-9B  Dataset automatically created during the evaluation run of model [zelk12/MT2-Gen5-gemma-2-9B](https://huggingface.co/zelk12/MT2-Gen5-gemma-2-9B) 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/zelk12__MT2-Gen5-gemma-2-9B-details", name="zelk12__MT2-Gen5-gemma-2-9B__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T21-16-19.023125](https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT2-Gen5-gemma-2-9B-details/blob/main/zelk12__MT2-Gen5-gemma-2-9B/results_2024-12-25T21-16-19.023125.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": { "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.006514547849699374, "acc_norm,none": 0.5484498637955636, "acc_norm_stderr,none": 0.005325974810950849, "inst_level_loose_acc,none": 0.841726618705036, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.43018617021276595, "acc_stderr,none": 0.004513816000062881, "inst_level_strict_acc,none": 0.8141486810551559, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.7356746765249538, "prompt_level_strict_acc_stderr,none": 0.018976469193346637, "prompt_level_loose_acc,none": 0.7707948243992606, "prompt_level_loose_acc_stderr,none": 0.018087757424955286, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6056240236070126, "acc_norm_stderr,none": 0.0061087361491088685, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.844, "acc_norm_stderr,none": 0.022995023034068682 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6310160427807486, "acc_norm_stderr,none": 0.03538078548260318 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.628, "acc_norm_stderr,none": 0.03063032594455827 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.68, "acc_norm_stderr,none": 0.02956172495524098 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.824, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.352, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.784, "acc_norm_stderr,none": 0.02607865766373279 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.651685393258427, "acc_norm_stderr,none": 0.035811144737534356 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.3, "acc_norm_stderr,none": 0.029040893477575783 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.34, "acc_norm_stderr,none": 0.030020073605457873 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_gpqa": { "acc_norm,none": 0.35151006711409394, "acc_norm_stderr,none": 0.013838506941827745, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3838383838383838, "acc_norm_stderr,none": 0.03464881675016338 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3516483516483517, "acc_norm_stderr,none": 0.02045320407062836 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33705357142857145, "acc_norm_stderr,none": 0.02235810146577637 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7356746765249538, "prompt_level_strict_acc_stderr,none": 0.018976469193346637, "inst_level_strict_acc,none": 0.8141486810551559, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7707948243992606, "prompt_level_loose_acc_stderr,none": 0.018087757424955286, "inst_level_loose_acc,none": 0.841726618705036, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.006514547849699374, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.13680781758957655, "exact_match_stderr,none": 0.019644839884927132 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.022727272727272728, "exact_match_stderr,none": 0.0130210469090637 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.010714285714285714, "exact_match_stderr,none": 0.006163684194761604 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.06493506493506493, "exact_match_stderr,none": 0.01992116854149014 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.13471502590673576, "exact_match_stderr,none": 0.02463978909770943 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.43018617021276595, "acc_stderr,none": 0.004513816000062881 }, "leaderboard_musr": { "acc_norm,none": 0.42328042328042326, "acc_norm_stderr,none": 0.017504600542222602, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.28125, "acc_norm_stderr,none": 0.028155620586096754 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.428, "acc_norm_stderr,none": 0.031355968923772626 } }, "leaderboard": { "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.006514547849699374, "acc_norm,none": 0.5484498637955636, "acc_norm_stderr,none": 0.005325974810950849, "inst_level_loose_acc,none": 0.841726618705036, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.43018617021276595, "acc_stderr,none": 0.004513816000062881, "inst_level_strict_acc,none": 0.8141486810551559, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.7356746765249538, "prompt_level_strict_acc_stderr,none": 0.018976469193346637, "prompt_level_loose_acc,none": 0.7707948243992606, "prompt_level_loose_acc_stderr,none": 0.018087757424955286, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6056240236070126, "acc_norm_stderr,none": 0.0061087361491088685, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.844, "acc_norm_stderr,none": 0.022995023034068682 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6310160427807486, "acc_norm_stderr,none": 0.03538078548260318 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.628, "acc_norm_stderr,none": 0.03063032594455827 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554571 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.68, "acc_norm_stderr,none": 0.02956172495524098 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.824, "acc_norm_stderr,none": 0.024133497525457123 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.352, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6027397260273972, "acc_norm_stderr,none": 0.040636704038880346 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.784, "acc_norm_stderr,none": 0.02607865766373279 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.58, "acc_norm_stderr,none": 0.03127799950463661 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.651685393258427, "acc_norm_stderr,none": 0.035811144737534356 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.3, "acc_norm_stderr,none": 0.029040893477575783 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.34, "acc_norm_stderr,none": 0.030020073605457873 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_gpqa": { "acc_norm,none": 0.35151006711409394, "acc_norm_stderr,none": 0.013838506941827745, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3838383838383838, "acc_norm_stderr,none": 0.03464881675016338 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3516483516483517, "acc_norm_stderr,none": 0.02045320407062836 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33705357142857145, "acc_norm_stderr,none": 0.02235810146577637 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7356746765249538, "prompt_level_strict_acc_stderr,none": 0.018976469193346637, "inst_level_strict_acc,none": 0.8141486810551559, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7707948243992606, "prompt_level_loose_acc_stderr,none": 0.018087757424955286, "inst_level_loose_acc,none": 0.841726618705036, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.006514547849699374, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.13680781758957655, "exact_match_stderr,none": 0.019644839884927132 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.022727272727272728, "exact_match_stderr,none": 0.0130210469090637 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.010714285714285714, "exact_match_stderr,none": 0.006163684194761604 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.06493506493506493, "exact_match_stderr,none": 0.01992116854149014 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.13471502590673576, "exact_match_stderr,none": 0.02463978909770943 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.0, "exact_match_stderr,none": 0.0 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.43018617021276595, "acc_stderr,none": 0.004513816000062881 }, "leaderboard_musr": { "acc_norm,none": 0.42328042328042326, "acc_norm_stderr,none": 0.017504600542222602, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.28125, "acc_norm_stderr,none": 0.028155620586096754 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.428, "acc_norm_stderr,none": 0.031355968923772626 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

ljnlonoljpiljm/laion-gpt4v

ljnlonoljpiljm

"2024-12-25T21:22:17Z"

0

[ "region:us" ]

null

"2024-12-25T21:18:46Z"

--- dataset_info: features: - name: uuid dtype: string - name: url dtype: string - name: image dtype: image - name: caption dtype: string - name: detailed_caption dtype: string - name: tags sequence: string - name: dataset dtype: string - name: points sequence: - name: uuid dtype: string - name: x dtype: float32 - name: y dtype: float32 - name: label dtype: string - name: objects sequence: - name: uuid dtype: string - name: x_min dtype: float32 - name: y_min dtype: float32 - name: x_max dtype: float32 - name: y_max dtype: float32 - name: label dtype: string - name: image_width dtype: int32 - name: image_height dtype: int32 - name: aesthetic_score dtype: float32 - name: sensitivity_score dtype: float32 splits: - name: train num_bytes: 393196185.445 num_examples: 7535 download_size: 406163413 dataset_size: 393196185.445 configs: - config_name: default data_files: - split: train path: data/train-* ---

Gusarich/GenMath-0

Gusarich

"2024-12-25T22:01:37Z"

0

[ "task_categories:text2text-generation", "language:en", "license:mit", "size_categories:n<1K", "region:us", "math" ]

[ "text2text-generation" ]

"2024-12-25T21:25:05Z"

--- license: mit task_categories: - text2text-generation language: - en tags: - math size_categories: - n<1K --- # GenMath Dataset ## Overview The **GenMath-0** dataset is a comprehensive benchmark designed to evaluate the mathematical reasoning capabilities of AI models. The name "GenMath" reflects two key aspects of the dataset: - **Generated**: The problems are synthetically created using advanced AI models, ensuring a diverse and challenging set of tasks. - **General**: The dataset spans a wide range of 86 mathematical areas, making it applicable to various domains of mathematics and problem-solving. This is the first version of an ongoing project, with future iterations planned to include: - Additional problems. - Enhanced verification using even more advanced models. - Coverage of new mathematical areas to ensure continuous improvement and relevance. ### Dataset Highlights - **344 problems** with **numerical answers**. - Covers **86 distinct areas of mathematics**. - Categorized into **4 difficulty levels**: Easy, Medium, Hard, and Extreme. - Balanced structure: Each area has exactly 4 problems, one at each difficulty level. The GenMath dataset is designed to test models across a wide spectrum of mathematical reasoning, from foundational to advanced topics. ### Why Choose GenMath? - **Diverse Coverage**: Problems span topics like Noncommutative Geometry, Analytic Number Theory, and many more. - **Difficulty Gradation**: Problems are systematically categorized to reveal how models handle increasingly complex challenges. - **Verified Answers**: Each problem has a verified numerical answer, determined by a consensus mechanism involving four independent runs of the **o1-mini** model. --- ## Dataset Structure Each problem is represented as a JSON object with the following fields: - **`area`**: The area of mathematics the problem belongs to (e.g., "Noncommutative Geometry"). - **`difficulty`**: The difficulty level (Easy, Medium, Hard, Extreme). - **`problem`**: The LaTeX-formatted mathematical problem statement as a string. - **`answer`**: The numerical answer to the problem. ### Example Entry ```json { "area": "Noncommutative Geometry", "difficulty": "Medium", "problem": "Consider a noncommutative two-dimensional torus \( \mathcal{A}_\theta \) with parameter \( \theta = \frac{1}{3} \). Let \( U \) and \( V \) be unitary operators satisfying the relation \( UV = e^{2\pi i \theta} VU \). Define the operator \( X = U + V + U^* + V^* \). Compute the trace of the operator \( X^2 \) in the GNS representation corresponding to the canonical trace state on \( \mathcal{A}_\theta \). What is the value of this trace?", "answer": 4.0 } ``` --- ## Usage The dataset can be loaded with the Hugging Face `datasets` library: ```python from datasets import load_dataset dataset = load_dataset("Gusarich/GenMath-0") print(dataset["train"][0]) ``` The dataset is stored in a single JSON file and can also be accessed directly. --- ## Licensing This dataset is released under the [MIT License](LICENSE). You are free to use, modify, and distribute it, provided proper credit is given. --- ## Citation If you use this dataset, please cite it as: ``` @dataset{sedov_genmath0, title={GenMath-0 Dataset}, author={Daniil Sedov}, year={2024}, publisher={Hugging Face}, url={https://huggingface.co/datasets/Gusarich/GenMath-0} } ```

barber82/criminaltest

barber82

"2024-12-25T21:31:06Z"

0

[ "license:mit", "region:us" ]

null

"2024-12-25T21:30:00Z"

--- license: mit ---

Mah9sh/Persian_Relationship_Conversations

Mah9sh

"2024-12-25T21:34:36Z"

0

[ "license:cc-by-sa-4.0", "region:us" ]

null

"2024-12-25T21:34:36Z"

--- license: cc-by-sa-4.0 ---

spiralworks/lg_domain_gen_2015_2020_test_3

spiralworks

"2024-12-25T22:01:16Z"

0

[ "region:us" ]

null

"2024-12-25T21:35:47Z"

--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: authors sequence: string - name: abstract dtype: string - name: year dtype: string - name: venue dtype: string - name: keywords sequence: string - name: pdf_url dtype: string - name: forum_url dtype: string - name: forum_raw_text dtype: string - name: reviews_raw_text dtype: string - name: average_rating dtype: float64 - name: average_confidence dtype: float64 - name: reviews dtype: string splits: - name: train num_bytes: 47044074 num_examples: 1208 download_size: 22350411 dataset_size: 47044074 configs: - config_name: default data_files: - split: train path: data/train-* ---

mlfoundations-dev/stackoverflow_5000tasks_.75p

mlfoundations-dev

"2024-12-25T22:08:18Z"

0

[ "region:us" ]

null

"2024-12-25T21:36:32Z"

--- dataset_info: features: - name: instruction dtype: string - name: completion dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string - name: seed_tasks dtype: string - name: generated_command_prompt dtype: string - name: generated_command dtype: string - name: command_response dtype: string - name: final_instruction dtype: string - name: final_response dtype: string splits: - name: train num_bytes: 768192188 num_examples: 50000 download_size: 389392825 dataset_size: 768192188 configs: - config_name: default data_files: - split: train path: data/train-* ---

smmrokn/reddit_dataset_44

smmrokn

"2024-12-25T21:42:43Z"

0

[ "task_categories:text-classification", "task_categories:token-classification", "task_categories:question-answering", "task_categories:summarization", "task_categories:text-generation", "task_ids:sentiment-analysis", "task_ids:topic-classification", "task_ids:named-entity-recognition", "task_ids:language-modeling", "task_ids:text-scoring", "task_ids:multi-class-classification", "task_ids:multi-label-classification", "task_ids:extractive-qa", "task_ids:news-articles-summarization", "multilinguality:multilingual", "source_datasets:original", "license:mit", "region:us" ]

[ "text-classification", "token-classification", "question-answering", "summarization", "text-generation" ]

"2024-12-25T21:42:40Z"

--- license: mit multilinguality: - multilingual source_datasets: - original task_categories: - text-classification - token-classification - question-answering - summarization - text-generation task_ids: - sentiment-analysis - topic-classification - named-entity-recognition - language-modeling - text-scoring - multi-class-classification - multi-label-classification - extractive-qa - news-articles-summarization --- # Bittensor Subnet 13 Reddit Dataset <center> <img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/bittensor.png" alt="Data-universe: The finest collection of social media data the web has to offer"> </center> <center> <img src="https://huggingface.co/datasets/macrocosm-os/images/resolve/main/macrocosmos-black.png" alt="Data-universe: The finest collection of social media data the web has to offer"> </center> ## Dataset Description - **Repository:** smmrokn/reddit_dataset_44 - **Subnet:** Bittensor Subnet 13 - **Miner Hotkey:** 0 ### Dataset Summary This dataset is part of the Bittensor Subnet 13 decentralized network, containing preprocessed Reddit data. The data is continuously updated by network miners, providing a real-time stream of Reddit content for various analytical and machine learning tasks. For more information about the dataset, please visit the [official repository](https://github.com/macrocosm-os/data-universe). ### Supported Tasks The versatility of this dataset allows researchers and data scientists to explore various aspects of social media dynamics and develop innovative applications. Users are encouraged to leverage this data creatively for their specific research or business needs. For example: - Sentiment Analysis - Topic Modeling - Community Analysis - Content Categorization ### Languages Primary language: Datasets are mostly English, but can be multilingual due to decentralized ways of creation. ## Dataset Structure ### Data Instances Each instance represents a single Reddit post or comment with the following fields: ### Data Fields - `text` (string): The main content of the Reddit post or comment. - `label` (string): Sentiment or topic category of the content. - `dataType` (string): Indicates whether the entry is a post or a comment. - `communityName` (string): The name of the subreddit where the content was posted. - `datetime` (string): The date when the content was posted or commented. - `username_encoded` (string): An encoded version of the username to maintain user privacy. - `url_encoded` (string): An encoded version of any URLs included in the content. ### Data Splits This dataset is continuously updated and does not have fixed splits. Users should create their own splits based on their requirements and the data's timestamp. ## Dataset Creation ### Source Data Data is collected from public posts and comments on Reddit, adhering to the platform's terms of service and API usage guidelines. ### Personal and Sensitive Information All usernames and URLs are encoded to protect user privacy. The dataset does not intentionally include personal or sensitive information. ## Considerations for Using the Data ### Social Impact and Biases Users should be aware of potential biases inherent in Reddit data, including demographic and content biases. This dataset reflects the content and opinions expressed on Reddit and should not be considered a representative sample of the general population. ### Limitations - Data quality may vary due to the nature of media sources. - The dataset may contain noise, spam, or irrelevant content typical of social media platforms. - Temporal biases may exist due to real-time collection methods. - The dataset is limited to public subreddits and does not include private or restricted communities. ## Additional Information ### Licensing Information The dataset is released under the MIT license. The use of this dataset is also subject to Reddit Terms of Use. ### Citation Information If you use this dataset in your research, please cite it as follows: ``` @misc{smmrokn2024datauniversereddit_dataset_44, title={The Data Universe Datasets: The finest collection of social media data the web has to offer}, author={smmrokn}, year={2024}, url={https://huggingface.co/datasets/smmrokn/reddit_dataset_44}, } ``` ### Contributions To report issues or contribute to the dataset, please contact the miner or use the Bittensor Subnet 13 governance mechanisms. ## Dataset Statistics [This section is automatically updated] - **Total Instances:** 755 - **Date Range:** 2024-12-25T00:00:00Z to 2024-12-25T00:00:00Z - **Last Updated:** 2024-12-25T21:42:42Z ### Data Distribution - Posts: 0.00% - Comments: 100.00% ### Top 10 Subreddits For full statistics, please refer to the `stats.json` file in the repository. | Rank | Topic | Total Count | Percentage | |------|-------|-------------|-------------| | 1 | r/science | 755 | 100.00% | ## Update History | Date | New Instances | Total Instances | |------|---------------|-----------------| | 2024-12-25T21:42:42Z | 755 | 755 |

mlfoundations-dev/stackoverflow_5000tasks_1p

mlfoundations-dev

"2024-12-25T22:08:16Z"

0

[ "region:us" ]

null

"2024-12-25T21:43:58Z"

--- dataset_info: features: - name: instruction dtype: string - name: completion dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string - name: seed_tasks dtype: string - name: generated_command_prompt dtype: string - name: generated_command dtype: string - name: command_response dtype: string - name: final_instruction dtype: string - name: final_response dtype: string splits: - name: train num_bytes: 769102396 num_examples: 50000 download_size: 391887503 dataset_size: 769102396 configs: - config_name: default data_files: - split: train path: data/train-* ---

ljnlonoljpiljm/laion-gpt4v-from-lavis

ljnlonoljpiljm

"2024-12-25T21:50:36Z"

0

[ "region:us" ]

null

"2024-12-25T21:44:58Z"

--- dataset_info: features: - name: uuid dtype: string - name: url dtype: string - name: image dtype: image - name: caption dtype: string - name: detailed_caption dtype: string - name: tags sequence: string - name: dataset dtype: string - name: points sequence: - name: uuid dtype: string - name: x dtype: float32 - name: y dtype: float32 - name: label dtype: string - name: objects sequence: - name: uuid dtype: string - name: x_min dtype: float32 - name: y_min dtype: float32 - name: x_max dtype: float32 - name: y_max dtype: float32 - name: label dtype: string - name: image_width dtype: int32 - name: image_height dtype: int32 - name: aesthetic_score dtype: float32 - name: sensitivity_score dtype: float32 splits: - name: train num_bytes: 11023443187.92 num_examples: 217160 download_size: 11154001642 dataset_size: 11023443187.92 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettavuw/D_gen1_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw

dgambettavuw

"2024-12-25T21:49:21Z"

0

[ "region:us" ]

null

"2024-12-25T21:49:13Z"

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 810777 num_examples: 1000 download_size: 430550 dataset_size: 810777 configs: - config_name: default data_files: - split: train path: data/train-* ---

dogtooth/uf_tulu_2_uf_iter2_2

dogtooth

"2024-12-25T21:54:13Z"

0

[ "region:us" ]

null

"2024-12-25T21:53:57Z"

--- dataset_info: features: - name: prompt dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: model_completion dtype: string - name: reference_completion dtype: string splits: - name: train num_bytes: 687519266 num_examples: 122270 download_size: 266586960 dataset_size: 687519266 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/mergekit-community__mergekit-ties-ykqemwr-details

open-llm-leaderboard

"2024-12-25T22:04:02Z"

0

[ "region:us" ]

null

"2024-12-25T22:00:56Z"

--- pretty_name: Evaluation run of mergekit-community/mergekit-ties-ykqemwr dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [mergekit-community/mergekit-ties-ykqemwr](https://huggingface.co/mergekit-community/mergekit-ties-ykqemwr)\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/mergekit-community__mergekit-ties-ykqemwr-details\"\ ,\n\tname=\"mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T22-00-54.914140](https://huggingface.co/datasets/open-llm-leaderboard/mergekit-community__mergekit-ties-ykqemwr-details/blob/main/mergekit-community__mergekit-ties-ykqemwr/results_2024-12-25T22-00-54.914140.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\": 0.2846580406654344,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.0194187691064861,\n \"acc_norm,none\"\ : 0.4968218964846284,\n \"acc_norm_stderr,none\": 0.005359611407101173,\n\ \ \"inst_level_strict_acc,none\": 0.4352517985611511,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc,none\": 0.3734208776595745,\n\ \ \"acc_stderr,none\": 0.004409977709525806,\n \"prompt_level_loose_acc,none\"\ : 0.3345656192236599,\n \"prompt_level_loose_acc_stderr,none\": 0.02030469137804569,\n\ \ \"inst_level_loose_acc,none\": 0.47961630695443647,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"exact_match,none\":\ \ 0.11858006042296072,\n \"exact_match_stderr,none\": 0.00847775132311359,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.543134872417983,\n \"acc_norm_stderr,none\"\ : 0.006187798698597206,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.832,\n\ \ \"acc_norm_stderr,none\": 0.023692813205492536\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6203208556149733,\n \"acc_norm_stderr,none\"\ : 0.03558443628801667\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465857\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.592,\n\ \ \"acc_norm_stderr,none\": 0.03114520984654851\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.496,\n \"acc_norm_stderr,none\":\ \ 0.0316851985511992\n },\n \"leaderboard_bbh_geometric_shapes\":\ \ {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.472,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.64,\n \ \ \"acc_norm_stderr,none\": 0.03041876402517494\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\":\ \ 0.031563285061213475\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\":\ \ 0.03151438761115349\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\ ,\n \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\":\ \ 0.02721799546455311\n },\n \"leaderboard_bbh_movie_recommendation\"\ : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \ \ \"acc_norm,none\": 0.748,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \"\ \ - leaderboard_bbh_navigate\",\n \"acc_norm,none\": 0.656,\n \ \ \"acc_norm_stderr,none\": 0.03010450339231644\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.541095890410959,\n \"acc_norm_stderr,none\": 0.041382249050673094\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.648,\n \ \ \"acc_norm_stderr,none\": 0.030266288057359866\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6797752808988764,\n \"acc_norm_stderr,none\"\ : 0.03506900770722058\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.364,\n\ \ \"acc_norm_stderr,none\": 0.030491555220405475\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.14,\n \"acc_norm_stderr,none\": 0.021989409645240245\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\":\ \ 0.029462657598578648\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.508,\n \"acc_norm_stderr,none\": 0.03168215643141386\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3221476510067114,\n\ \ \"acc_norm_stderr,none\": 0.013550646507334637,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.31313131313131315,\n \"acc_norm_stderr,none\": 0.033042050878136546\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.31868131868131866,\n\ \ \"acc_norm_stderr,none\": 0.019959754728358932\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33035714285714285,\n \"acc_norm_stderr,none\"\ : 0.022246398347131557\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.2846580406654344,\n \"prompt_level_strict_acc_stderr,none\": 0.0194187691064861,\n\ \ \"inst_level_strict_acc,none\": 0.4352517985611511,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.3345656192236599,\n \"prompt_level_loose_acc_stderr,none\": 0.02030469137804569,\n\ \ \"inst_level_loose_acc,none\": 0.47961630695443647,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.11858006042296072,\n \"exact_match_stderr,none\"\ : 0.00847775132311359,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.1986970684039088,\n\ \ \"exact_match_stderr,none\": 0.022810425277602825\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.07317073170731707,\n \"exact_match_stderr,none\": 0.023577005978097667\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.03787878787878788,\n\ \ \"exact_match_stderr,none\": 0.016679279394712563\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.02142857142857143,\n \"exact_match_stderr,none\": 0.008669434577665551\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.07142857142857142,\n\ \ \"exact_match_stderr,none\": 0.020820824576076338\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.3005181347150259,\n \"exact_match_stderr,none\"\ : 0.033088185944157515\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.05185185185185185,\n \"exact_match_stderr,none\"\ : 0.019154368449050496\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.3734208776595745,\n\ \ \"acc_stderr,none\": 0.004409977709525806\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4193121693121693,\n \"acc_norm_stderr,none\"\ : 0.017520624624081504,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.576,\n\ \ \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.359375,\n \"acc_norm_stderr,none\"\ : 0.0300473227657999\n },\n \"leaderboard_musr_team_allocation\":\ \ {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.324,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ \ }\n },\n \"leaderboard\": {\n \"prompt_level_strict_acc,none\"\ : 0.2846580406654344,\n \"prompt_level_strict_acc_stderr,none\": 0.0194187691064861,\n\ \ \"acc_norm,none\": 0.4968218964846284,\n \"acc_norm_stderr,none\"\ : 0.005359611407101173,\n \"inst_level_strict_acc,none\": 0.4352517985611511,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc,none\":\ \ 0.3734208776595745,\n \"acc_stderr,none\": 0.004409977709525806,\n \ \ \"prompt_level_loose_acc,none\": 0.3345656192236599,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.02030469137804569,\n \"inst_level_loose_acc,none\": 0.47961630695443647,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"exact_match,none\"\ : 0.11858006042296072,\n \"exact_match_stderr,none\": 0.00847775132311359,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \ \ \"acc_norm,none\": 0.543134872417983,\n \"acc_norm_stderr,none\": 0.006187798698597206,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"\ acc_norm,none\": 0.832,\n \"acc_norm_stderr,none\": 0.023692813205492536\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6203208556149733,\n \"acc_norm_stderr,none\"\ : 0.03558443628801667\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465857\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.03114520984654851\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.496,\n \"acc_norm_stderr,none\": 0.0316851985511992\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.472,\n \"acc_norm_stderr,none\": 0.031636489531544396\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\": 0.03041876402517494\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.456,\n \"acc_norm_stderr,none\": 0.031563285061213475\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.748,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\": 0.03010450339231644\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.541095890410959,\n\ \ \"acc_norm_stderr,none\": 0.041382249050673094\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359866\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.6797752808988764,\n \"acc_norm_stderr,none\"\ : 0.03506900770722058\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.364,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.14,\n \"acc_norm_stderr,none\": 0.021989409645240245\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\": 0.029462657598578648\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.508,\n \"acc_norm_stderr,none\": 0.03168215643141386\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3221476510067114,\n\ \ \"acc_norm_stderr,none\": 0.013550646507334637,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.31313131313131315,\n\ \ \"acc_norm_stderr,none\": 0.033042050878136546\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.31868131868131866,\n \"acc_norm_stderr,none\": 0.019959754728358932\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33035714285714285,\n \"acc_norm_stderr,none\"\ : 0.022246398347131557\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.2846580406654344,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.0194187691064861,\n \"\ inst_level_strict_acc,none\": 0.4352517985611511,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.3345656192236599,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.02030469137804569,\n \"inst_level_loose_acc,none\"\ : 0.47961630695443647,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n\ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.11858006042296072,\n\ \ \"exact_match_stderr,none\": 0.00847775132311359,\n \"alias\": \"\ \ - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.1986970684039088,\n \"exact_match_stderr,none\": 0.022810425277602825\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.07317073170731707,\n \"exact_match_stderr,none\": 0.023577005978097667\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.03787878787878788,\n \"exact_match_stderr,none\"\ : 0.016679279394712563\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.02142857142857143,\n \"exact_match_stderr,none\"\ : 0.008669434577665551\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.07142857142857142,\n \"exact_match_stderr,none\": 0.020820824576076338\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.3005181347150259,\n \"exact_match_stderr,none\"\ : 0.033088185944157515\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.05185185185185185,\n \"exact_match_stderr,none\": 0.019154368449050496\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.3734208776595745,\n \"acc_stderr,none\": 0.004409977709525806\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4193121693121693,\n\ \ \"acc_norm_stderr,none\": 0.017520624624081504,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.359375,\n \"acc_norm_stderr,none\": 0.0300473227657999\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.324,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ \ }\n}\n```" repo_url: https://huggingface.co/mergekit-community/mergekit-ties-ykqemwr leaderboard_url: '' point_of_contact: '' configs: - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_navigate data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_snarks data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_gpqa_extended data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_gpqa_main data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_gpqa_main_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_ifeval data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_ifeval_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_mmlu_pro data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_musr_object_placements data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T22-00-54.914140.jsonl' - config_name: mergekit-community__mergekit-ties-ykqemwr__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T22_00_54.914140 path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T22-00-54.914140.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T22-00-54.914140.jsonl' --- # Dataset Card for Evaluation run of mergekit-community/mergekit-ties-ykqemwr  Dataset automatically created during the evaluation run of model [mergekit-community/mergekit-ties-ykqemwr](https://huggingface.co/mergekit-community/mergekit-ties-ykqemwr) 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/mergekit-community__mergekit-ties-ykqemwr-details", name="mergekit-community__mergekit-ties-ykqemwr__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T22-00-54.914140](https://huggingface.co/datasets/open-llm-leaderboard/mergekit-community__mergekit-ties-ykqemwr-details/blob/main/mergekit-community__mergekit-ties-ykqemwr/results_2024-12-25T22-00-54.914140.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": 0.2846580406654344, "prompt_level_strict_acc_stderr,none": 0.0194187691064861, "acc_norm,none": 0.4968218964846284, "acc_norm_stderr,none": 0.005359611407101173, "inst_level_strict_acc,none": 0.4352517985611511, "inst_level_strict_acc_stderr,none": "N/A", "acc,none": 0.3734208776595745, "acc_stderr,none": 0.004409977709525806, "prompt_level_loose_acc,none": 0.3345656192236599, "prompt_level_loose_acc_stderr,none": 0.02030469137804569, "inst_level_loose_acc,none": 0.47961630695443647, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.00847775132311359, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.543134872417983, "acc_norm_stderr,none": 0.006187798698597206, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.832, "acc_norm_stderr,none": 0.023692813205492536 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6203208556149733, "acc_norm_stderr,none": 0.03558443628801667 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.496, "acc_norm_stderr,none": 0.0316851985511992 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.472, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.748, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.392, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.541095890410959, "acc_norm_stderr,none": 0.041382249050673094 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6797752808988764, "acc_norm_stderr,none": 0.03506900770722058 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.14, "acc_norm_stderr,none": 0.021989409645240245 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.316, "acc_norm_stderr,none": 0.029462657598578648 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.03168215643141386 }, "leaderboard_gpqa": { "acc_norm,none": 0.3221476510067114, "acc_norm_stderr,none": 0.013550646507334637, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.31313131313131315, "acc_norm_stderr,none": 0.033042050878136546 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.31868131868131866, "acc_norm_stderr,none": 0.019959754728358932 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33035714285714285, "acc_norm_stderr,none": 0.022246398347131557 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.2846580406654344, "prompt_level_strict_acc_stderr,none": 0.0194187691064861, "inst_level_strict_acc,none": 0.4352517985611511, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.3345656192236599, "prompt_level_loose_acc_stderr,none": 0.02030469137804569, "inst_level_loose_acc,none": 0.47961630695443647, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.00847775132311359, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.1986970684039088, "exact_match_stderr,none": 0.022810425277602825 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.07317073170731707, "exact_match_stderr,none": 0.023577005978097667 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.03787878787878788, "exact_match_stderr,none": 0.016679279394712563 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.02142857142857143, "exact_match_stderr,none": 0.008669434577665551 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07142857142857142, "exact_match_stderr,none": 0.020820824576076338 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.3005181347150259, "exact_match_stderr,none": 0.033088185944157515 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.05185185185185185, "exact_match_stderr,none": 0.019154368449050496 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.3734208776595745, "acc_stderr,none": 0.004409977709525806 }, "leaderboard_musr": { "acc_norm,none": 0.4193121693121693, "acc_norm_stderr,none": 0.017520624624081504, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.359375, "acc_norm_stderr,none": 0.0300473227657999 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.324, "acc_norm_stderr,none": 0.029658294924545567 } }, "leaderboard": { "prompt_level_strict_acc,none": 0.2846580406654344, "prompt_level_strict_acc_stderr,none": 0.0194187691064861, "acc_norm,none": 0.4968218964846284, "acc_norm_stderr,none": 0.005359611407101173, "inst_level_strict_acc,none": 0.4352517985611511, "inst_level_strict_acc_stderr,none": "N/A", "acc,none": 0.3734208776595745, "acc_stderr,none": 0.004409977709525806, "prompt_level_loose_acc,none": 0.3345656192236599, "prompt_level_loose_acc_stderr,none": 0.02030469137804569, "inst_level_loose_acc,none": 0.47961630695443647, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.00847775132311359, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.543134872417983, "acc_norm_stderr,none": 0.006187798698597206, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.832, "acc_norm_stderr,none": 0.023692813205492536 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6203208556149733, "acc_norm_stderr,none": 0.03558443628801667 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.496, "acc_norm_stderr,none": 0.0316851985511992 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.472, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.03041876402517494 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.031563285061213475 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.748, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.03010450339231644 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.392, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.541095890410959, "acc_norm_stderr,none": 0.041382249050673094 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.6797752808988764, "acc_norm_stderr,none": 0.03506900770722058 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.14, "acc_norm_stderr,none": 0.021989409645240245 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.316, "acc_norm_stderr,none": 0.029462657598578648 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.03168215643141386 }, "leaderboard_gpqa": { "acc_norm,none": 0.3221476510067114, "acc_norm_stderr,none": 0.013550646507334637, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.31313131313131315, "acc_norm_stderr,none": 0.033042050878136546 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.31868131868131866, "acc_norm_stderr,none": 0.019959754728358932 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33035714285714285, "acc_norm_stderr,none": 0.022246398347131557 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.2846580406654344, "prompt_level_strict_acc_stderr,none": 0.0194187691064861, "inst_level_strict_acc,none": 0.4352517985611511, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.3345656192236599, "prompt_level_loose_acc_stderr,none": 0.02030469137804569, "inst_level_loose_acc,none": 0.47961630695443647, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.11858006042296072, "exact_match_stderr,none": 0.00847775132311359, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.1986970684039088, "exact_match_stderr,none": 0.022810425277602825 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.07317073170731707, "exact_match_stderr,none": 0.023577005978097667 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.03787878787878788, "exact_match_stderr,none": 0.016679279394712563 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.02142857142857143, "exact_match_stderr,none": 0.008669434577665551 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07142857142857142, "exact_match_stderr,none": 0.020820824576076338 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.3005181347150259, "exact_match_stderr,none": 0.033088185944157515 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.05185185185185185, "exact_match_stderr,none": 0.019154368449050496 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.3734208776595745, "acc_stderr,none": 0.004409977709525806 }, "leaderboard_musr": { "acc_norm,none": 0.4193121693121693, "acc_norm_stderr,none": 0.017520624624081504, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.359375, "acc_norm_stderr,none": 0.0300473227657999 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.324, "acc_norm_stderr,none": 0.029658294924545567 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

davidberenstein1957/my-distiset-b845cf19

davidberenstein1957

"2024-12-25T22:03:00Z"

0

[ "size_categories:1K<n<10K", "library:distilabel", "region:us", "synthetic", "distilabel", "rlaif", "datacraft" ]

null

"2024-12-25T22:02:57Z"

--- size_categories: 1K<n<10K dataset_info: features: - name: text dtype: string - name: label dtype: class_label: names: '0': business-and-industrial '1': books-and-literature '2': beauty-and-fitness '3': autos-and-vehicles '4': people-and-society '5': sports '6': shopping '7': online-communities '8': pets-and-animals '9': internet-and-telecom '10': home-and-garden '11': adult '12': science '13': food-and-drink '14': real-estate '15': news '16': jobs-and-education '17': health '18': hobbies-and-leisure '19': games '20': computers-and-electronics '21': arts-and-entertainment '22': travel-and-transportation '23': finance '24': law-and-government '25': sensitive-subjects splits: - name: train num_bytes: 557337 num_examples: 1000 download_size: 335830 dataset_size: 557337 configs: - config_name: default data_files: - split: train path: data/train-* tags: - synthetic - distilabel - rlaif - datacraft --- <p align="left"> <a href="https://github.com/argilla-io/distilabel"> <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/> </a> </p> # Dataset Card for my-distiset-b845cf19 This dataset has been created with [distilabel](https://distilabel.argilla.io/). ## Dataset Summary This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI: ```console distilabel pipeline run --config "https://huggingface.co/datasets/davidberenstein1957/my-distiset-b845cf19/raw/main/pipeline.yaml" ``` or explore the configuration: ```console distilabel pipeline info --config "https://huggingface.co/datasets/davidberenstein1957/my-distiset-b845cf19/raw/main/pipeline.yaml" ``` ## Dataset structure The examples have the following structure per configuration: <details><summary> Configuration: default </summary><hr> ```json { "label": 17, "text": "Sexual health is a broad topic that involves physical, emotional, and social well-being. Proper sexual health can lead to better relationships and overall life satisfaction. It\u0027s important for individuals to understand the risks associated with certain behaviors and to practice safe sex to prevent sexually transmitted infections (STIs). Comprehensive education about human sexuality includes understanding consent, respecting individual boundaries, and knowing how to access appropriate healthcare services." } ``` This subset can be loaded as: ```python from datasets import load_dataset ds = load_dataset("davidberenstein1957/my-distiset-b845cf19", "default") ``` Or simply as it follows, since there's only one configuration and is named `default`: ```python from datasets import load_dataset ds = load_dataset("davidberenstein1957/my-distiset-b845cf19") ``` </details>

spiralworks/lg_domain_gen_2015_2020_test_4

spiralworks

"2024-12-25T22:35:28Z"

0

[ "region:us" ]

null

"2024-12-25T22:04:17Z"

--- dataset_info: features: - name: id dtype: string - name: note_id dtype: string - name: forum dtype: string - name: title dtype: string - name: authors sequence: string - name: venue dtype: string - name: year dtype: string - name: abstract dtype: string - name: keywords sequence: string - name: pdf_url dtype: string - name: forum_url dtype: string - name: forum_raw_text dtype: string - name: reviews_raw_text dtype: string - name: average_rating dtype: float64 - name: average_confidence dtype: float64 - name: reviews dtype: string splits: - name: train num_bytes: 106261028 num_examples: 2788 download_size: 52103061 dataset_size: 106261028 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZhangShenao/metamath_filtered

ZhangShenao

"2024-12-25T22:24:01Z"

0

[ "region:us" ]

null

"2024-12-25T22:08:56Z"

--- dataset_info: features: - name: type dtype: string - name: response dtype: string - name: original_question dtype: string - name: query dtype: string splits: - name: train num_bytes: 338668193.79173416 num_examples: 362065 download_size: 173645299 dataset_size: 338668193.79173416 configs: - config_name: default data_files: - split: train path: data/train-* ---

BEE-spoke-data/bigpatent-all

BEE-spoke-data

"2024-12-25T22:51:42Z"

0

[ "task_categories:text2text-generation", "task_categories:summarization", "language:en", "license:cc-by-4.0", "region:us", "legal" ]

[ "text2text-generation", "summarization" ]

"2024-12-25T22:10:36Z"

--- dataset_info: features: - name: text dtype: string - name: summary dtype: string splits: - name: train num_bytes: 38364057181 num_examples: 1207222 - name: validation num_bytes: 2115665259 num_examples: 67068 - name: test num_bytes: 2129349762 num_examples: 67072 download_size: 17095133825 dataset_size: 42609072202 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* license: cc-by-4.0 task_categories: - text2text-generation - summarization language: - en tags: - legal source_dataset: NortheasternUniversity/big_patent --- # BEE-spoke-data/bigpatent-all Original [bigpatent](https://huggingface.co/datasets/NortheasternUniversity/big_patent) subset "all" converted to hf format, columns renamed, some cleaning applied to "summary" column.

darkmater/huggingface-smol-course-preference-tuning-dataset

darkmater

"2024-12-25T22:17:12Z"

0

[ "region:us" ]

null

"2024-12-25T22:17:11Z"

--- dataset_info: features: - name: instruction dtype: string - name: grouped_generation sequence: string - name: model_name dtype: string - name: distilabel_metadata struct: - name: raw_input_text_generation_0 list: - name: content dtype: string - name: role dtype: string - name: raw_input_text_generation_1 list: - name: content dtype: string - name: role dtype: string - name: raw_output_text_generation_0 dtype: string - name: raw_output_text_generation_1 dtype: string splits: - name: train num_bytes: 3063 num_examples: 1 download_size: 21829 dataset_size: 3063 configs: - config_name: default data_files: - split: train path: data/train-* ---

dogtooth/uf_tulu_3_uf_iter2_3

dogtooth

"2024-12-25T22:17:23Z"

0

[ "region:us" ]

null

"2024-12-25T22:17:12Z"

--- dataset_info: features: - name: prompt dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: model_completion dtype: string - name: reference_completion dtype: string splits: - name: train num_bytes: 1042377812 num_examples: 183405 download_size: 345497555 dataset_size: 1042377812 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/Daemontatox__RA_Reasoner-details

open-llm-leaderboard

"2024-12-25T22:20:38Z"

0

[ "region:us" ]

null

"2024-12-25T22:17:45Z"

--- pretty_name: Evaluation run of Daemontatox/RA_Reasoner dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Daemontatox/RA_Reasoner](https://huggingface.co/Daemontatox/RA_Reasoner)\nThe\ \ 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/Daemontatox__RA_Reasoner-details\"\ ,\n\tname=\"Daemontatox__RA_Reasoner__leaderboard_bbh_boolean_expressions\",\n\t\ split=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results from\ \ run 2024-12-25T22-17-44.601562](https://huggingface.co/datasets/open-llm-leaderboard/Daemontatox__RA_Reasoner-details/blob/main/Daemontatox__RA_Reasoner/results_2024-12-25T22-17-44.601562.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_loose_acc,none\": 0.657074340527578,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"acc_norm,none\": 0.5410559086781683,\n \"acc_norm_stderr,none\"\ : 0.005305430320587412,\n \"exact_match,none\": 0.20090634441087613,\n\ \ \"exact_match_stderr,none\": 0.010296205842383702,\n \"\ acc,none\": 0.43001994680851063,\n \"acc_stderr,none\": 0.004513602048699036,\n\ \ \"prompt_level_loose_acc,none\": 0.5415896487985212,\n \"\ prompt_level_loose_acc_stderr,none\": 0.021442010560476468,\n \"prompt_level_strict_acc,none\"\ : 0.5009242144177449,\n \"prompt_level_strict_acc_stderr,none\": 0.021516537387842545,\n\ \ \"inst_level_strict_acc,none\": 0.617505995203837,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6035410519007117,\n\ \ \"acc_norm_stderr,none\": 0.0061006515040985506,\n \"alias\"\ : \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ \ \"acc_norm,none\": 0.884,\n \"acc_norm_stderr,none\": 0.020293429803083823\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.6631016042780749,\n\ \ \"acc_norm_stderr,none\": 0.03465636737116503\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ ,\n \"acc_norm,none\": 0.624,\n \"acc_norm_stderr,none\":\ \ 0.03069633626739458\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \ \ \"acc_norm,none\": 0.684,\n \"acc_norm_stderr,none\": 0.02946265759857865\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\",\n \"acc_norm,none\": 0.62,\n\ \ \"acc_norm_stderr,none\": 0.030760116042626098\n },\n \ \ \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\":\ \ 0.030881038748993974\n },\n \"leaderboard_bbh_hyperbaton\": {\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\"\ : 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n },\n\ \ \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n },\n\ \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\":\ \ 0.030266288057359866\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.589041095890411,\n \"acc_norm_stderr,none\": 0.04085902451640228\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.708,\n \"acc_norm_stderr,none\": 0.028814320402205634\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.668,\n \ \ \"acc_norm_stderr,none\": 0.029844039047465857\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7247191011235955,\n \"acc_norm_stderr,none\"\ : 0.03357269922538229\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359866\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.52,\n\ \ \"acc_norm_stderr,none\": 0.03166085340849512\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.228,\n \"acc_norm_stderr,none\":\ \ 0.026587432487268498\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.352,\n \"acc_norm_stderr,none\":\ \ 0.030266288057359866\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\": 0.3313758389261745,\n\ \ \"acc_norm_stderr,none\": 0.013618675523707283,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3787878787878788,\n \"acc_norm_stderr,none\": 0.03456088731993742\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.34615384615384615,\n\ \ \"acc_norm_stderr,none\": 0.020378589274523313\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.2924107142857143,\n \"acc_norm_stderr,none\"\ : 0.02151461125992856\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.5009242144177449,\n \"prompt_level_strict_acc_stderr,none\": 0.02151653738784254,\n\ \ \"inst_level_strict_acc,none\": 0.617505995203837,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.5415896487985212,\n \"prompt_level_loose_acc_stderr,none\": 0.021442010560476468,\n\ \ \"inst_level_loose_acc,none\": 0.657074340527578,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\"\n },\n \"leaderboard_math_hard\": {\n \"exact_match,none\"\ : 0.20090634441087613,\n \"exact_match_stderr,none\": 0.010296205842383702,\n\ \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_algebra_hard\",\n \ \ \"exact_match,none\": 0.38436482084690554,\n \"exact_match_stderr,none\"\ : 0.027808196077636186\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\",\n \ \ \"exact_match,none\": 0.15447154471544716,\n \"exact_match_stderr,none\"\ : 0.03271963447587711\n },\n \"leaderboard_math_geometry_hard\": {\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\",\n \"\ exact_match,none\": 0.07575757575757576,\n \"exact_match_stderr,none\"\ : 0.023119068741795586\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n\ \ \"exact_match,none\": 0.04285714285714286,\n \"exact_match_stderr,none\"\ : 0.012125450612513602\n },\n \"leaderboard_math_num_theory_hard\"\ : {\n \"alias\": \" - leaderboard_math_num_theory_hard\",\n \ \ \"exact_match,none\": 0.2077922077922078,\n \"exact_match_stderr,none\"\ : 0.03280110453395389\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \ \ \"exact_match,none\": 0.35751295336787564,\n \"exact_match_stderr,none\"\ : 0.03458816042181008\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.044444444444444446,\n \"exact_match_stderr,none\"\ : 0.01780263602032457\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.43001994680851063,\n\ \ \"acc_stderr,none\": 0.004513602048699036\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.3955026455026455,\n \"acc_norm_stderr,none\"\ : 0.017448683517391476,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.528,\n\ \ \"acc_norm_stderr,none\": 0.031636489531544396\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.2890625,\n \"acc_norm_stderr,none\"\ : 0.02838843806999465\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\": 0.03063032594455827\n\ \ }\n },\n \"leaderboard\": {\n \"inst_level_loose_acc,none\"\ : 0.657074340527578,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \ \ \"acc_norm,none\": 0.5410559086781683,\n \"acc_norm_stderr,none\"\ : 0.005305430320587412,\n \"exact_match,none\": 0.20090634441087613,\n \ \ \"exact_match_stderr,none\": 0.010296205842383702,\n \"acc,none\"\ : 0.43001994680851063,\n \"acc_stderr,none\": 0.004513602048699036,\n \ \ \"prompt_level_loose_acc,none\": 0.5415896487985212,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.021442010560476468,\n \"prompt_level_strict_acc,none\": 0.5009242144177449,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.021516537387842545,\n \ \ \"inst_level_strict_acc,none\": 0.617505995203837,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6035410519007117,\n \"acc_norm_stderr,none\"\ : 0.0061006515040985506,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ ,\n \"acc_norm,none\": 0.884,\n \"acc_norm_stderr,none\": 0.020293429803083823\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6631016042780749,\n \"acc_norm_stderr,none\"\ : 0.03465636737116503\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.624,\n \"acc_norm_stderr,none\": 0.03069633626739458\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.684,\n \"acc_norm_stderr,none\": 0.02946265759857865\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993974\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.62,\n \"acc_norm_stderr,none\": 0.030760116042626098\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359866\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.589041095890411,\n\ \ \"acc_norm_stderr,none\": 0.04085902451640228\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.708,\n \"acc_norm_stderr,none\": 0.028814320402205634\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465857\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7247191011235955,\n \"acc_norm_stderr,none\"\ : 0.03357269922538229\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359866\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.228,\n \"acc_norm_stderr,none\": 0.026587432487268498\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.352,\n \"acc_norm_stderr,none\": 0.030266288057359866\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\": 0.3313758389261745,\n\ \ \"acc_norm_stderr,none\": 0.013618675523707283,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3787878787878788,\n\ \ \"acc_norm_stderr,none\": 0.03456088731993742\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.34615384615384615,\n \"acc_norm_stderr,none\": 0.020378589274523313\n\ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.2924107142857143,\n \"acc_norm_stderr,none\"\ : 0.02151461125992856\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.5009242144177449,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.02151653738784254,\n \ \ \"inst_level_strict_acc,none\": 0.617505995203837,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.5415896487985212,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.021442010560476468,\n \"inst_level_loose_acc,none\"\ : 0.657074340527578,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.20090634441087613,\n\ \ \"exact_match_stderr,none\": 0.010296205842383702,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.38436482084690554,\n \"exact_match_stderr,none\": 0.027808196077636186\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.15447154471544716,\n \"exact_match_stderr,none\": 0.03271963447587711\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.07575757575757576,\n \"exact_match_stderr,none\"\ : 0.023119068741795586\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.04285714285714286,\n \"exact_match_stderr,none\"\ : 0.012125450612513602\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.2077922077922078,\n \"exact_match_stderr,none\": 0.03280110453395389\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.35751295336787564,\n \"exact_match_stderr,none\"\ : 0.03458816042181008\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.044444444444444446,\n \"exact_match_stderr,none\": 0.01780263602032457\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.43001994680851063,\n \"acc_stderr,none\": 0.004513602048699036\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.3955026455026455,\n\ \ \"acc_norm_stderr,none\": 0.017448683517391476,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.2890625,\n \"acc_norm_stderr,none\": 0.02838843806999465\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\": 0.03063032594455827\n\ \ }\n}\n```" repo_url: https://huggingface.co/Daemontatox/RA_Reasoner leaderboard_url: '' point_of_contact: '' configs: - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_navigate data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_snarks data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_gpqa_extended data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_gpqa_main data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_gpqa_main_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_ifeval data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_ifeval_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_mmlu_pro data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_musr_object_placements data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T22-17-44.601562.jsonl' - config_name: Daemontatox__RA_Reasoner__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T22_17_44.601562 path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T22-17-44.601562.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T22-17-44.601562.jsonl' --- # Dataset Card for Evaluation run of Daemontatox/RA_Reasoner  Dataset automatically created during the evaluation run of model [Daemontatox/RA_Reasoner](https://huggingface.co/Daemontatox/RA_Reasoner) 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/Daemontatox__RA_Reasoner-details", name="Daemontatox__RA_Reasoner__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T22-17-44.601562](https://huggingface.co/datasets/open-llm-leaderboard/Daemontatox__RA_Reasoner-details/blob/main/Daemontatox__RA_Reasoner/results_2024-12-25T22-17-44.601562.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_loose_acc,none": 0.657074340527578, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.5410559086781683, "acc_norm_stderr,none": 0.005305430320587412, "exact_match,none": 0.20090634441087613, "exact_match_stderr,none": 0.010296205842383702, "acc,none": 0.43001994680851063, "acc_stderr,none": 0.004513602048699036, "prompt_level_loose_acc,none": 0.5415896487985212, "prompt_level_loose_acc_stderr,none": 0.021442010560476468, "prompt_level_strict_acc,none": 0.5009242144177449, "prompt_level_strict_acc_stderr,none": 0.021516537387842545, "inst_level_strict_acc,none": 0.617505995203837, "inst_level_strict_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6035410519007117, "acc_norm_stderr,none": 0.0061006515040985506, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.884, "acc_norm_stderr,none": 0.020293429803083823 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6631016042780749, "acc_norm_stderr,none": 0.03465636737116503 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.624, "acc_norm_stderr,none": 0.03069633626739458 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.684, "acc_norm_stderr,none": 0.02946265759857865 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.612, "acc_norm_stderr,none": 0.030881038748993974 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.589041095890411, "acc_norm_stderr,none": 0.04085902451640228 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.708, "acc_norm_stderr,none": 0.028814320402205634 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7247191011235955, "acc_norm_stderr,none": 0.03357269922538229 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.228, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.352, "acc_norm_stderr,none": 0.030266288057359866 }, "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": 0.3313758389261745, "acc_norm_stderr,none": 0.013618675523707283, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3787878787878788, "acc_norm_stderr,none": 0.03456088731993742 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.34615384615384615, "acc_norm_stderr,none": 0.020378589274523313 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.2924107142857143, "acc_norm_stderr,none": 0.02151461125992856 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.5009242144177449, "prompt_level_strict_acc_stderr,none": 0.02151653738784254, "inst_level_strict_acc,none": 0.617505995203837, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.5415896487985212, "prompt_level_loose_acc_stderr,none": 0.021442010560476468, "inst_level_loose_acc,none": 0.657074340527578, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.20090634441087613, "exact_match_stderr,none": 0.010296205842383702, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.38436482084690554, "exact_match_stderr,none": 0.027808196077636186 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.15447154471544716, "exact_match_stderr,none": 0.03271963447587711 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.07575757575757576, "exact_match_stderr,none": 0.023119068741795586 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.04285714285714286, "exact_match_stderr,none": 0.012125450612513602 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.2077922077922078, "exact_match_stderr,none": 0.03280110453395389 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.35751295336787564, "exact_match_stderr,none": 0.03458816042181008 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.044444444444444446, "exact_match_stderr,none": 0.01780263602032457 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.43001994680851063, "acc_stderr,none": 0.004513602048699036 }, "leaderboard_musr": { "acc_norm,none": 0.3955026455026455, "acc_norm_stderr,none": 0.017448683517391476, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2890625, "acc_norm_stderr,none": 0.02838843806999465 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.03063032594455827 } }, "leaderboard": { "inst_level_loose_acc,none": 0.657074340527578, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.5410559086781683, "acc_norm_stderr,none": 0.005305430320587412, "exact_match,none": 0.20090634441087613, "exact_match_stderr,none": 0.010296205842383702, "acc,none": 0.43001994680851063, "acc_stderr,none": 0.004513602048699036, "prompt_level_loose_acc,none": 0.5415896487985212, "prompt_level_loose_acc_stderr,none": 0.021442010560476468, "prompt_level_strict_acc,none": 0.5009242144177449, "prompt_level_strict_acc_stderr,none": 0.021516537387842545, "inst_level_strict_acc,none": 0.617505995203837, "inst_level_strict_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6035410519007117, "acc_norm_stderr,none": 0.0061006515040985506, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.884, "acc_norm_stderr,none": 0.020293429803083823 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6631016042780749, "acc_norm_stderr,none": 0.03465636737116503 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.624, "acc_norm_stderr,none": 0.03069633626739458 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.684, "acc_norm_stderr,none": 0.02946265759857865 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.612, "acc_norm_stderr,none": 0.030881038748993974 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.62, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028136 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968774 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.589041095890411, "acc_norm_stderr,none": 0.04085902451640228 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.708, "acc_norm_stderr,none": 0.028814320402205634 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.668, "acc_norm_stderr,none": 0.029844039047465857 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022818 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7247191011235955, "acc_norm_stderr,none": 0.03357269922538229 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359866 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.228, "acc_norm_stderr,none": 0.026587432487268498 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.352, "acc_norm_stderr,none": 0.030266288057359866 }, "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": 0.3313758389261745, "acc_norm_stderr,none": 0.013618675523707283, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3787878787878788, "acc_norm_stderr,none": 0.03456088731993742 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.34615384615384615, "acc_norm_stderr,none": 0.020378589274523313 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.2924107142857143, "acc_norm_stderr,none": 0.02151461125992856 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.5009242144177449, "prompt_level_strict_acc_stderr,none": 0.02151653738784254, "inst_level_strict_acc,none": 0.617505995203837, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.5415896487985212, "prompt_level_loose_acc_stderr,none": 0.021442010560476468, "inst_level_loose_acc,none": 0.657074340527578, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.20090634441087613, "exact_match_stderr,none": 0.010296205842383702, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.38436482084690554, "exact_match_stderr,none": 0.027808196077636186 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.15447154471544716, "exact_match_stderr,none": 0.03271963447587711 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.07575757575757576, "exact_match_stderr,none": 0.023119068741795586 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.04285714285714286, "exact_match_stderr,none": 0.012125450612513602 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.2077922077922078, "exact_match_stderr,none": 0.03280110453395389 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.35751295336787564, "exact_match_stderr,none": 0.03458816042181008 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.044444444444444446, "exact_match_stderr,none": 0.01780263602032457 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.43001994680851063, "acc_stderr,none": 0.004513602048699036 }, "leaderboard_musr": { "acc_norm,none": 0.3955026455026455, "acc_norm_stderr,none": 0.017448683517391476, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.2890625, "acc_norm_stderr,none": 0.02838843806999465 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.03063032594455827 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

BEE-spoke-data/reddit-title-body-hf

BEE-spoke-data

"2024-12-25T22:56:34Z"

0

[ "task_categories:text-generation", "task_categories:text2text-generation", "license:odc-by", "region:us" ]

[ "text-generation", "text2text-generation" ]

"2024-12-25T22:20:06Z"

--- dataset_info: features: - name: title dtype: string - name: body dtype: string - name: subreddit dtype: string splits: - name: train num_bytes: 93764255230 num_examples: 127445911 download_size: 62576730319 dataset_size: 93764255230 configs: - config_name: default data_files: - split: train path: data/train-* license: odc-by task_categories: - text-generation - text2text-generation --- # reddit-title-body-hf [sentence-transformers/reddit-title-body](https://huggingface.co/datasets/sentence-transformers/reddit-title-body) in parquet format

MedAliFarhat/Mosaics_Final_Version

MedAliFarhat

"2024-12-25T22:27:19Z"

0

[ "region:us" ]

null

"2024-12-25T22:23:55Z"

--- dataset_info: features: - name: messages dtype: string - name: images dtype: image splits: - name: train num_bytes: 586915884.1044776 num_examples: 180 - name: test num_bytes: 40066940.895522386 num_examples: 21 download_size: 625313984 dataset_size: 626982825.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

martineden/structurized_squad

martineden

"2024-12-25T23:01:46Z"

0

[ "task_categories:question-answering", "language:en", "license:apache-2.0", "size_categories:10K<n<100K", "arxiv:2407.16434", "arxiv:1606.05250", "region:us", "squad", "question-answering", "structurization" ]

[ "question-answering" ]

"2024-12-25T22:26:15Z"

--- dataset_info: features: - name: squad_id dtype: string - name: title dtype: string - name: context dtype: string - name: structurized_context dtype: string - name: question dtype: string - name: answer_text dtype: string - name: answer_start_index dtype: int64 - name: structurized_answer_start_index dtype: int64 - name: answers struct: - name: answer_start sequence: int32 - name: text sequence: string - name: structurized_answers struct: - name: answer_start sequence: int64 - name: text sequence: string splits: - name: train num_bytes: 183235360 num_examples: 87599 - name: validation num_bytes: 23392412 num_examples: 10570 download_size: 35504447 dataset_size: 206627772 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* license: apache-2.0 task_categories: - question-answering size_categories: - 10K<n<100K language: - en tags: - squad - question-answering - structurization --- # Structurized SQuAD Dataset This dataset is derived from Rajpurkar/SQuAD dataset by applying the structurization process described in the "Enhancing LLM's Cognition via Structurization" (Liu et al., 2024) article. To check the structurization process details: https://arxiv.org/abs/2407.16434 ## Construction process * For the structurization process, Llama-3.1-8B-Instruct and Llama-3.3-70B-Instruct models were used. * Some structurized context data may missing some answers or information. * Structurized answer start indexes are obtained via Python string methods (e.g. .find()). ## Description * The dataset can be used in place of SQuAD dataset, having the same columns and values. * In addition to SQuAD data, there are extra columns: i. "answer_text" and "answer_start_index" are the values derived from "answers" column of SQuAD. ii. "structurized_context" is derived from "context" column via applying structurization process. iii. "structurized_answer_start_index" is obtained via Python string methods from "structurized_context", searching "answer_text" within it. iv. "structurized_answers" is generated from "answer_text" and "structurized_answer_start_index", to comply with the format of original "answers" column, so that preprocessing should be similar to the SQuAD dataset. ## Suggestions: * If you want to fine-tune model based on structurized contexts on extractive question-answering task, structurized_answer_start_index = -1 data might be filtered out. * Some structurized contexts has the answer within themselves, but identified as "-1" (no answer) due to the punctuation issues in the output of LLMs (e.g. "words, more words, and words"; the last comma causes that issue.). ## References: Liu, K., Fu, Z., Chen, C., Zhang, W., Jiang, R., Zhou, F., Chen, Y., Wu, Y., & Ye, J. (2024). Enhancing LLM's Cognition via Structurization. http://arxiv.org/abs/2407.16434 Meta. (2024a, July 23). Llama-3.1-8B-Instruct Model Card. Retrieved from https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/MODEL_CARD.md Meta. (2024b, December 6). Llama-3.3-70B-Instruct Model Card. Retrieved from https://github.com/meta-llama/llama-models/blob/main/models/llama3_3/MODEL_CARD.md Rajpurkar, P., Zhang, J., Lopyrev, K., & Liang, P. (2016). SQuAD: 100,000+ Questions for Machine Comprehension of Text. https://arxiv.org/abs/1606.05250

meteorinc/koch_test

meteorinc

"2024-12-25T22:26:22Z"

0

[ "task_categories:robotics", "license:apache-2.0", "region:us", "LeRobot", "tutorial" ]

[ "robotics" ]

"2024-12-25T22:26:18Z"

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - tutorial configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "koch", "total_episodes": 2, "total_frames": 1166, "total_tasks": 1, "total_videos": 4, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:2" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

1231czx/llama31_40k_ep3tmp10

1231czx

"2024-12-25T22:29:35Z"

0

[ "region:us" ]

null

"2024-12-25T22:29:33Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 20641585 num_examples: 5000 download_size: 8230693 dataset_size: 20641585 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettavuw/D_gen2_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw

dgambettavuw

"2024-12-25T22:29:47Z"

0

[ "region:us" ]

null

"2024-12-25T22:29:43Z"

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 801484 num_examples: 1000 download_size: 426509 dataset_size: 801484 configs: - config_name: default data_files: - split: train path: data/train-* ---

1231czx/llama31_40k_ep3tmp07

1231czx

"2024-12-25T22:30:09Z"

0

[ "region:us" ]

null

"2024-12-25T22:30:07Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 57964880 num_examples: 15000 download_size: 19888362 dataset_size: 57964880 configs: - config_name: default data_files: - split: train path: data/train-* ---

1231czx/llama31_40k_ep3tmp0

1231czx

"2024-12-25T22:30:24Z"

0

[ "region:us" ]

null

"2024-12-25T22:30:23Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 19109118 num_examples: 5000 download_size: 5954243 dataset_size: 19109118 configs: - config_name: default data_files: - split: train path: data/train-* ---

Shwetasingh123/llama_8B_4_bit_math_mean_logprob

Shwetasingh123

"2024-12-25T22:34:07Z"

0

[ "region:us" ]

null

"2024-12-25T22:34:05Z"

--- dataset_info: features: - name: problem dtype: string - name: answer dtype: string - name: unique_id dtype: string - name: generated_chain dtype: string - name: generated_answer dtype: string - name: is_correct dtype: bool - name: epoch dtype: int64 - name: mean_logprob dtype: float64 splits: - name: train num_bytes: 3528306 num_examples: 818 download_size: 2301890 dataset_size: 3528306 configs: - config_name: default data_files: - split: train path: data/train-* ---

1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr10k_ep3tmp10

1231czx

"2024-12-25T22:35:19Z"

0

[ "region:us" ]

null

"2024-12-25T22:35:18Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 19606359 num_examples: 5000 download_size: 7751560 dataset_size: 19606359 configs: - config_name: default data_files: - split: train path: data/train-* ---

1231czx/llama31_chat_format_20k_ep3tmp10

1231czx

"2024-12-25T22:36:33Z"

0

[ "region:us" ]

null

"2024-12-25T22:36:32Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18773857 num_examples: 5000 download_size: 7282699 dataset_size: 18773857 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/qingy2024__Fusion4-14B-Instruct-details

open-llm-leaderboard

"2024-12-25T22:41:20Z"

0

[ "region:us" ]

null

"2024-12-25T22:38:09Z"

--- pretty_name: Evaluation run of qingy2024/Fusion4-14B-Instruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [qingy2024/Fusion4-14B-Instruct](https://huggingface.co/qingy2024/Fusion4-14B-Instruct)\n\ The dataset is composed of 38 configuration(s), each one corresponding to one of\ \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ \ be found as a specific split in each configuration, the split being named using\ \ the timestamp of the run.The \"train\" split is always pointing to the latest\ \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/qingy2024__Fusion4-14B-Instruct-details\"\ ,\n\tname=\"qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T22-38-08.784726](https://huggingface.co/datasets/open-llm-leaderboard/qingy2024__Fusion4-14B-Instruct-details/blob/main/qingy2024__Fusion4-14B-Instruct/results_2024-12-25T22-38-08.784726.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\": 0.5193650265957447,\n \"acc_stderr,none\"\ : 0.004555050244694195,\n \"exact_match,none\": 0.3391238670694864,\n\ \ \"exact_match_stderr,none\": 0.011834946738836881,\n \"\ inst_level_strict_acc,none\": 0.8033573141486811,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"acc_norm,none\": 0.580749772992606,\n \"acc_norm_stderr,none\"\ : 0.005096783365172785,\n \"prompt_level_loose_acc,none\": 0.744916820702403,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.018758491950414184,\n \ \ \"prompt_level_strict_acc,none\": 0.7264325323475046,\n \"\ prompt_level_strict_acc_stderr,none\": 0.019183727107392846,\n \"inst_level_loose_acc,none\"\ : 0.8177458033573142,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.6521437250477348,\n \"acc_norm_stderr,none\"\ : 0.005772767567151319,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.9,\n\ \ \"acc_norm_stderr,none\": 0.01901172751573434\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6470588235294118,\n \"acc_norm_stderr,none\"\ : 0.03504019983419238\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ \ \"acc_norm,none\": 0.684,\n \"acc_norm_stderr,none\": 0.02946265759857865\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\": 0.664,\n \"acc_norm_stderr,none\":\ \ 0.029933259094191533\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.76,\n \ \ \"acc_norm_stderr,none\": 0.027065293652238982\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\":\ \ 0.030491555220405475\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\":\ \ 0.030993197854577898\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\ ,\n \"acc_norm,none\": 0.948,\n \"acc_norm_stderr,none\":\ \ 0.014070391025641678\n },\n \"leaderboard_bbh_movie_recommendation\"\ : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \ \ \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \"\ \ - leaderboard_bbh_navigate\",\n \"acc_norm,none\": 0.728,\n \ \ \"acc_norm_stderr,none\": 0.028200088296309975\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.416,\n \"acc_norm_stderr,none\": 0.031235856237014505\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6643835616438356,\n \"acc_norm_stderr,none\": 0.039214533254314086\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\": 0.02496069198917196\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\"\ : 0.624,\n \"acc_norm_stderr,none\": 0.03069633626739458\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.8146067415730337,\n \"acc_norm_stderr,none\"\ : 0.029210186884630146\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.856,\n\ \ \"acc_norm_stderr,none\": 0.022249407735450245\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\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\": 0.308,\n \"acc_norm_stderr,none\":\ \ 0.02925692860650181\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ : 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n },\n\ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.33053691275167785,\n\ \ \"acc_norm_stderr,none\": 0.013641593555038299,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3333333333333333,\n \"acc_norm_stderr,none\": 0.033586181457325226\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.326007326007326,\n\ \ \"acc_norm_stderr,none\": 0.0200790433174674\n },\n \"\ leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33482142857142855,\n \"acc_norm_stderr,none\"\ : 0.02232142857142857\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.7264325323475046,\n \"prompt_level_strict_acc_stderr,none\": 0.019183727107392846,\n\ \ \"inst_level_strict_acc,none\": 0.8033573141486811,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.744916820702403,\n \"prompt_level_loose_acc_stderr,none\": 0.018758491950414184,\n\ \ \"inst_level_loose_acc,none\": 0.8177458033573142,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.3391238670694864,\n \"exact_match_stderr,none\"\ : 0.011834946738836881,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.6091205211726385,\n\ \ \"exact_match_stderr,none\": 0.027894098976471507\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.3089430894308943,\n \"exact_match_stderr,none\": 0.04183273258787621\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.19696969696969696,\n\ \ \"exact_match_stderr,none\": 0.03474801718164943\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\": \"\ \ - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.11428571428571428,\n \"exact_match_stderr,none\": 0.019047619047619046\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.3181818181818182,\n\ \ \"exact_match_stderr,none\": 0.03765531225361428\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.5233160621761658,\n \"exact_match_stderr,none\"\ : 0.03604513672442202\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.11851851851851852,\n \"exact_match_stderr,none\"\ : 0.027922050250639006\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.5193650265957447,\n\ \ \"acc_stderr,none\": 0.004555050244694195\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4312169312169312,\n \"acc_norm_stderr,none\"\ : 0.017413586664944487,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.576,\n\ \ \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.26171875,\n \"acc_norm_stderr,none\"\ : 0.027526959754524398\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ \ }\n },\n \"leaderboard\": {\n \"acc,none\": 0.5193650265957447,\n\ \ \"acc_stderr,none\": 0.004555050244694195,\n \"exact_match,none\"\ : 0.3391238670694864,\n \"exact_match_stderr,none\": 0.011834946738836881,\n\ \ \"inst_level_strict_acc,none\": 0.8033573141486811,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"acc_norm,none\": 0.580749772992606,\n \"acc_norm_stderr,none\"\ : 0.005096783365172785,\n \"prompt_level_loose_acc,none\": 0.744916820702403,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.018758491950414184,\n \ \ \"prompt_level_strict_acc,none\": 0.7264325323475046,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.019183727107392846,\n \"inst_level_loose_acc,none\": 0.8177458033573142,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6521437250477348,\n\ \ \"acc_norm_stderr,none\": 0.005772767567151319,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ : 0.9,\n \"acc_norm_stderr,none\": 0.01901172751573434\n },\n \"leaderboard_bbh_causal_judgement\"\ : {\n \"alias\": \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\"\ : 0.6470588235294118,\n \"acc_norm_stderr,none\": 0.03504019983419238\n \ \ },\n \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" -\ \ leaderboard_bbh_date_understanding\",\n \"acc_norm,none\": 0.684,\n \ \ \"acc_norm_stderr,none\": 0.02946265759857865\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\"\ : 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\n },\n \"\ leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.948,\n \"acc_norm_stderr,none\": 0.014070391025641678\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.728,\n \"acc_norm_stderr,none\": 0.028200088296309975\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.416,\n \"acc_norm_stderr,none\": 0.031235856237014505\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6643835616438356,\n\ \ \"acc_norm_stderr,none\": 0.039214533254314086\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\": 0.02496069198917196\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\": 0.624,\n \"acc_norm_stderr,none\": 0.03069633626739458\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.8146067415730337,\n \"acc_norm_stderr,none\"\ : 0.029210186884630146\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \"\ acc_norm,none\": 0.856,\n \"acc_norm_stderr,none\": 0.022249407735450245\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\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\": 0.308,\n \"acc_norm_stderr,none\": 0.02925692860650181\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.33053691275167785,\n\ \ \"acc_norm_stderr,none\": 0.013641593555038299,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3333333333333333,\n\ \ \"acc_norm_stderr,none\": 0.033586181457325226\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.326007326007326,\n \"acc_norm_stderr,none\": 0.0200790433174674\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.33482142857142855,\n \"acc_norm_stderr,none\"\ : 0.02232142857142857\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.7264325323475046,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.019183727107392846,\n \ \ \"inst_level_strict_acc,none\": 0.8033573141486811,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.744916820702403,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.018758491950414184,\n \"inst_level_loose_acc,none\"\ : 0.8177458033573142,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.3391238670694864,\n\ \ \"exact_match_stderr,none\": 0.011834946738836881,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.6091205211726385,\n \"exact_match_stderr,none\": 0.027894098976471507\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.3089430894308943,\n \"exact_match_stderr,none\": 0.04183273258787621\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.19696969696969696,\n \"exact_match_stderr,none\"\ : 0.03474801718164943\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.11428571428571428,\n \"exact_match_stderr,none\"\ : 0.019047619047619046\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.3181818181818182,\n \"exact_match_stderr,none\": 0.03765531225361428\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.5233160621761658,\n \"exact_match_stderr,none\"\ : 0.03604513672442202\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.11851851851851852,\n \"exact_match_stderr,none\": 0.027922050250639006\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.5193650265957447,\n \"acc_stderr,none\": 0.004555050244694195\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4312169312169312,\n\ \ \"acc_norm_stderr,none\": 0.017413586664944487,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.576,\n \"acc_norm_stderr,none\": 0.03131803437491622\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.26171875,\n \"acc_norm_stderr,none\": 0.027526959754524398\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ \ }\n}\n```" repo_url: https://huggingface.co/qingy2024/Fusion4-14B-Instruct leaderboard_url: '' point_of_contact: '' configs: - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_navigate data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_snarks data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_gpqa_extended data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_gpqa_main data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_gpqa_main_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_ifeval data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_ifeval_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_mmlu_pro data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_musr_object_placements data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T22-38-08.784726.jsonl' - config_name: qingy2024__Fusion4-14B-Instruct__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T22_38_08.784726 path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T22-38-08.784726.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T22-38-08.784726.jsonl' --- # Dataset Card for Evaluation run of qingy2024/Fusion4-14B-Instruct  Dataset automatically created during the evaluation run of model [qingy2024/Fusion4-14B-Instruct](https://huggingface.co/qingy2024/Fusion4-14B-Instruct) The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run. To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset( "open-llm-leaderboard/qingy2024__Fusion4-14B-Instruct-details", name="qingy2024__Fusion4-14B-Instruct__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T22-38-08.784726](https://huggingface.co/datasets/open-llm-leaderboard/qingy2024__Fusion4-14B-Instruct-details/blob/main/qingy2024__Fusion4-14B-Instruct/results_2024-12-25T22-38-08.784726.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": 0.5193650265957447, "acc_stderr,none": 0.004555050244694195, "exact_match,none": 0.3391238670694864, "exact_match_stderr,none": 0.011834946738836881, "inst_level_strict_acc,none": 0.8033573141486811, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.580749772992606, "acc_norm_stderr,none": 0.005096783365172785, "prompt_level_loose_acc,none": 0.744916820702403, "prompt_level_loose_acc_stderr,none": 0.018758491950414184, "prompt_level_strict_acc,none": 0.7264325323475046, "prompt_level_strict_acc_stderr,none": 0.019183727107392846, "inst_level_loose_acc,none": 0.8177458033573142, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6521437250477348, "acc_norm_stderr,none": 0.005772767567151319, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.9, "acc_norm_stderr,none": 0.01901172751573434 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6470588235294118, "acc_norm_stderr,none": 0.03504019983419238 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.684, "acc_norm_stderr,none": 0.02946265759857865 }, "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": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.948, "acc_norm_stderr,none": 0.014070391025641678 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.732, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.416, "acc_norm_stderr,none": 0.031235856237014505 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6643835616438356, "acc_norm_stderr,none": 0.039214533254314086 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "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": 0.624, "acc_norm_stderr,none": 0.03069633626739458 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8146067415730337, "acc_norm_stderr,none": 0.029210186884630146 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.856, "acc_norm_stderr,none": 0.022249407735450245 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "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": 0.308, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_gpqa": { "acc_norm,none": 0.33053691275167785, "acc_norm_stderr,none": 0.013641593555038299, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3333333333333333, "acc_norm_stderr,none": 0.033586181457325226 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.326007326007326, "acc_norm_stderr,none": 0.0200790433174674 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33482142857142855, "acc_norm_stderr,none": 0.02232142857142857 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7264325323475046, "prompt_level_strict_acc_stderr,none": 0.019183727107392846, "inst_level_strict_acc,none": 0.8033573141486811, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.744916820702403, "prompt_level_loose_acc_stderr,none": 0.018758491950414184, "inst_level_loose_acc,none": 0.8177458033573142, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.3391238670694864, "exact_match_stderr,none": 0.011834946738836881, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.6091205211726385, "exact_match_stderr,none": 0.027894098976471507 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.3089430894308943, "exact_match_stderr,none": 0.04183273258787621 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.19696969696969696, "exact_match_stderr,none": 0.03474801718164943 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.11428571428571428, "exact_match_stderr,none": 0.019047619047619046 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.3181818181818182, "exact_match_stderr,none": 0.03765531225361428 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.5233160621761658, "exact_match_stderr,none": 0.03604513672442202 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.11851851851851852, "exact_match_stderr,none": 0.027922050250639006 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.5193650265957447, "acc_stderr,none": 0.004555050244694195 }, "leaderboard_musr": { "acc_norm,none": 0.4312169312169312, "acc_norm_stderr,none": 0.017413586664944487, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.26171875, "acc_norm_stderr,none": 0.027526959754524398 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004 } }, "leaderboard": { "acc,none": 0.5193650265957447, "acc_stderr,none": 0.004555050244694195, "exact_match,none": 0.3391238670694864, "exact_match_stderr,none": 0.011834946738836881, "inst_level_strict_acc,none": 0.8033573141486811, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.580749772992606, "acc_norm_stderr,none": 0.005096783365172785, "prompt_level_loose_acc,none": 0.744916820702403, "prompt_level_loose_acc_stderr,none": 0.018758491950414184, "prompt_level_strict_acc,none": 0.7264325323475046, "prompt_level_strict_acc_stderr,none": 0.019183727107392846, "inst_level_loose_acc,none": 0.8177458033573142, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6521437250477348, "acc_norm_stderr,none": 0.005772767567151319, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.9, "acc_norm_stderr,none": 0.01901172751573434 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6470588235294118, "acc_norm_stderr,none": 0.03504019983419238 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.684, "acc_norm_stderr,none": 0.02946265759857865 }, "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": 0.664, "acc_norm_stderr,none": 0.029933259094191533 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.948, "acc_norm_stderr,none": 0.014070391025641678 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.732, "acc_norm_stderr,none": 0.02806876238252672 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.416, "acc_norm_stderr,none": 0.031235856237014505 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6643835616438356, "acc_norm_stderr,none": 0.039214533254314086 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "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": 0.624, "acc_norm_stderr,none": 0.03069633626739458 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8146067415730337, "acc_norm_stderr,none": 0.029210186884630146 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.856, "acc_norm_stderr,none": 0.022249407735450245 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "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": 0.308, "acc_norm_stderr,none": 0.02925692860650181 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_gpqa": { "acc_norm,none": 0.33053691275167785, "acc_norm_stderr,none": 0.013641593555038299, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3333333333333333, "acc_norm_stderr,none": 0.033586181457325226 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.326007326007326, "acc_norm_stderr,none": 0.0200790433174674 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.33482142857142855, "acc_norm_stderr,none": 0.02232142857142857 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.7264325323475046, "prompt_level_strict_acc_stderr,none": 0.019183727107392846, "inst_level_strict_acc,none": 0.8033573141486811, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.744916820702403, "prompt_level_loose_acc_stderr,none": 0.018758491950414184, "inst_level_loose_acc,none": 0.8177458033573142, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.3391238670694864, "exact_match_stderr,none": 0.011834946738836881, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.6091205211726385, "exact_match_stderr,none": 0.027894098976471507 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.3089430894308943, "exact_match_stderr,none": 0.04183273258787621 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.19696969696969696, "exact_match_stderr,none": 0.03474801718164943 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.11428571428571428, "exact_match_stderr,none": 0.019047619047619046 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.3181818181818182, "exact_match_stderr,none": 0.03765531225361428 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.5233160621761658, "exact_match_stderr,none": 0.03604513672442202 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.11851851851851852, "exact_match_stderr,none": 0.027922050250639006 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.5193650265957447, "acc_stderr,none": 0.004555050244694195 }, "leaderboard_musr": { "acc_norm,none": 0.4312169312169312, "acc_norm_stderr,none": 0.017413586664944487, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.576, "acc_norm_stderr,none": 0.03131803437491622 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.26171875, "acc_norm_stderr,none": 0.027526959754524398 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

lomov/29labels_v1

lomov

"2024-12-25T22:39:26Z"

0

[ "license:apache-2.0", "region:us" ]

null

"2024-12-25T22:38:42Z"

--- license: apache-2.0 ---

open-llm-leaderboard/Daemontatox__PathfinderAI-details

open-llm-leaderboard

"2024-12-25T22:42:20Z"

0

[ "region:us" ]

null

"2024-12-25T22:39:31Z"

--- pretty_name: Evaluation run of Daemontatox/PathfinderAI dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Daemontatox/PathfinderAI](https://huggingface.co/Daemontatox/PathfinderAI)\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/Daemontatox__PathfinderAI-details\"\ ,\n\tname=\"Daemontatox__PathfinderAI__leaderboard_bbh_boolean_expressions\",\n\t\ split=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results from\ \ run 2024-12-25T22-39-30.466377](https://huggingface.co/datasets/open-llm-leaderboard/Daemontatox__PathfinderAI-details/blob/main/Daemontatox__PathfinderAI/results_2024-12-25T22-39-30.466377.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_strict_acc,none\": 0.4292565947242206,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.37153419593345655,\n \"prompt_level_loose_acc_stderr,none\": 0.020794253888707582,\n\ \ \"inst_level_loose_acc,none\": 0.4772182254196642,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\": 0.6038396679206123,\n\ \ \"acc_norm_stderr,none\": 0.005114412741319218,\n \"prompt_level_strict_acc,none\"\ : 0.3197781885397412,\n \"prompt_level_strict_acc_stderr,none\": 0.02007025155658027,\n\ \ \"exact_match,none\": 0.47583081570996977,\n \"exact_match_stderr,none\"\ : 0.011997412930703567,\n \"acc,none\": 0.559341755319149,\n \ \ \"acc_stderr,none\": 0.004526251764884398,\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6627321645547648,\n\ \ \"acc_norm_stderr,none\": 0.0057158112089299344,\n \"alias\"\ : \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ \ \"acc_norm,none\": 0.904,\n \"acc_norm_stderr,none\": 0.01866896141947719\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.6951871657754011,\n\ \ \"acc_norm_stderr,none\": 0.03375289476367582\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ ,\n \"acc_norm,none\": 0.736,\n \"acc_norm_stderr,none\":\ \ 0.027934518957690866\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \ \ \"acc_norm,none\": 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\",\n \"acc_norm,none\": 0.724,\n\ \ \"acc_norm_stderr,none\": 0.02832853727421142\n },\n \ \ \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.596,\n \"acc_norm_stderr,none\":\ \ 0.03109668818482536\n },\n \"leaderboard_bbh_hyperbaton\": {\n \ \ \"alias\": \" - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\"\ : 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n },\n\ \ \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n },\n\ \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.868,\n \"acc_norm_stderr,none\": 0.021450980824038166\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\"\ : \" - leaderboard_bbh_object_counting\",\n \"acc_norm,none\": 0.464,\n\ \ \"acc_norm_stderr,none\": 0.03160397514522374\n },\n \ \ \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ ,\n \"acc_norm,none\": 0.7328767123287672,\n \"acc_norm_stderr,none\"\ : 0.03674407640319397\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\":\ \ 0.02496069198917196\n },\n \"leaderboard_bbh_ruin_names\": {\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\"\ : 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n },\n\ \ \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.672,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" -\ \ leaderboard_bbh_snarks\",\n \"acc_norm,none\": 0.8707865168539326,\n\ \ \"acc_norm_stderr,none\": 0.02521291917508837\n },\n \ \ \"leaderboard_bbh_sports_understanding\": {\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ ,\n \"acc_norm,none\": 0.728,\n \"acc_norm_stderr,none\":\ \ 0.028200088296309975\n },\n \"leaderboard_bbh_temporal_sequences\"\ : {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \ \ \"acc_norm,none\": 0.864,\n \"acc_norm_stderr,none\": 0.021723342617052086\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\":\ \ 0.027513851933031318\n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\":\ \ 0.02721799546455311\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.608,\n\ \ \"acc_norm_stderr,none\": 0.030938207620401222\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.39429530201342283,\n\ \ \"acc_norm_stderr,none\": 0.014165615446017703,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3939393939393939,\n \"acc_norm_stderr,none\": 0.03481285338232962\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.3791208791208791,\n\ \ \"acc_norm_stderr,none\": 0.02078232480021949\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.41294642857142855,\n \"acc_norm_stderr,none\"\ : 0.023287987691016507\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.3197781885397412,\n \"prompt_level_strict_acc_stderr,none\": 0.02007025155658027,\n\ \ \"inst_level_strict_acc,none\": 0.4292565947242206,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.37153419593345655,\n \"prompt_level_loose_acc_stderr,none\": 0.020794253888707582,\n\ \ \"inst_level_loose_acc,none\": 0.47721822541966424,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.47583081570996977,\n \"exact_match_stderr,none\"\ : 0.011997412930703567,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.752442996742671,\n\ \ \"exact_match_stderr,none\": 0.024672530661985218\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.4959349593495935,\n \"exact_match_stderr,none\": 0.045266376933577414\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.3181818181818182,\n\ \ \"exact_match_stderr,none\": 0.040694556602840146\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.16428571428571428,\n \"exact_match_stderr,none\": 0.02218332855621051\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.577922077922078,\n\ \ \"exact_match_stderr,none\": 0.039928706872358506\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.7150259067357513,\n \"exact_match_stderr,none\"\ : 0.032577140777096614\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.17037037037037037,\n \"exact_match_stderr,none\"\ : 0.032477811859955956\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.559341755319149,\n\ \ \"acc_stderr,none\": 0.004526251764884398\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.48544973544973546,\n \"acc_norm_stderr,none\"\ : 0.017990685826838902,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.596,\n\ \ \"acc_norm_stderr,none\": 0.03109668818482536\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.4375,\n \"acc_norm_stderr,none\"\ : 0.031065632609231775\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.424,\n \"acc_norm_stderr,none\": 0.03131803437491622\n\ \ }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ : 0.4292565947242206,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ \ \"prompt_level_loose_acc,none\": 0.37153419593345655,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.020794253888707582,\n \"inst_level_loose_acc,none\": 0.4772182254196642,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ : 0.6038396679206123,\n \"acc_norm_stderr,none\": 0.005114412741319218,\n\ \ \"prompt_level_strict_acc,none\": 0.3197781885397412,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.02007025155658027,\n \"exact_match,none\": 0.47583081570996977,\n \ \ \"exact_match_stderr,none\": 0.011997412930703567,\n \"acc,none\":\ \ 0.559341755319149,\n \"acc_stderr,none\": 0.004526251764884398,\n \ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.6627321645547648,\n \"acc_norm_stderr,none\": 0.0057158112089299344,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"\ acc_norm,none\": 0.904,\n \"acc_norm_stderr,none\": 0.01866896141947719\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6951871657754011,\n \"acc_norm_stderr,none\"\ : 0.03375289476367582\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.736,\n \"acc_norm_stderr,none\": 0.027934518957690866\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ ,\n \"acc_norm,none\": 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n\ \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.724,\n \"acc_norm_stderr,none\": 0.02832853727421142\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.596,\n \"acc_norm_stderr,none\": 0.03109668818482536\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.868,\n \"acc_norm_stderr,none\": 0.021450980824038166\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.78,\n \"acc_norm_stderr,none\": 0.02625179282460579\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.464,\n \"acc_norm_stderr,none\": 0.03160397514522374\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.7328767123287672,\n\ \ \"acc_norm_stderr,none\": 0.03674407640319397\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\": 0.02496069198917196\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.672,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.8707865168539326,\n \"acc_norm_stderr,none\"\ : 0.02521291917508837\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.728,\n \"acc_norm_stderr,none\": 0.028200088296309975\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.864,\n \"acc_norm_stderr,none\": 0.021723342617052086\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.252,\n \"acc_norm_stderr,none\": 0.027513851933031318\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955240978\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401222\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.39429530201342283,\n\ \ \"acc_norm_stderr,none\": 0.014165615446017703,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3939393939393939,\n\ \ \"acc_norm_stderr,none\": 0.03481285338232962\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.3791208791208791,\n \"acc_norm_stderr,none\": 0.02078232480021949\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.41294642857142855,\n \"acc_norm_stderr,none\"\ : 0.023287987691016507\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.3197781885397412,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.02007025155658027,\n \ \ \"inst_level_strict_acc,none\": 0.4292565947242206,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.37153419593345655,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.020794253888707582,\n \"inst_level_loose_acc,none\"\ : 0.47721822541966424,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n\ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.47583081570996977,\n\ \ \"exact_match_stderr,none\": 0.011997412930703567,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.752442996742671,\n \"exact_match_stderr,none\": 0.024672530661985218\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.4959349593495935,\n \"exact_match_stderr,none\": 0.045266376933577414\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.3181818181818182,\n \"exact_match_stderr,none\"\ : 0.040694556602840146\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.16428571428571428,\n \"exact_match_stderr,none\"\ : 0.02218332855621051\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.577922077922078,\n \"exact_match_stderr,none\": 0.039928706872358506\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.7150259067357513,\n \"exact_match_stderr,none\"\ : 0.032577140777096614\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.17037037037037037,\n \"exact_match_stderr,none\": 0.032477811859955956\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.559341755319149,\n \"acc_stderr,none\": 0.004526251764884398\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.48544973544973546,\n\ \ \"acc_norm_stderr,none\": 0.017990685826838902,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.596,\n \"acc_norm_stderr,none\": 0.03109668818482536\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.4375,\n \"acc_norm_stderr,none\": 0.031065632609231775\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.424,\n \"acc_norm_stderr,none\": 0.03131803437491622\n\ \ }\n}\n```" repo_url: https://huggingface.co/Daemontatox/PathfinderAI leaderboard_url: '' point_of_contact: '' configs: - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_navigate data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_snarks data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_gpqa_extended data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_gpqa_main data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_gpqa_main_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_ifeval data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_ifeval_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_mmlu_pro data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_musr_object_placements data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T22-39-30.466377.jsonl' - config_name: Daemontatox__PathfinderAI__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T22_39_30.466377 path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T22-39-30.466377.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T22-39-30.466377.jsonl' --- # Dataset Card for Evaluation run of Daemontatox/PathfinderAI  Dataset automatically created during the evaluation run of model [Daemontatox/PathfinderAI](https://huggingface.co/Daemontatox/PathfinderAI) 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/Daemontatox__PathfinderAI-details", name="Daemontatox__PathfinderAI__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T22-39-30.466377](https://huggingface.co/datasets/open-llm-leaderboard/Daemontatox__PathfinderAI-details/blob/main/Daemontatox__PathfinderAI/results_2024-12-25T22-39-30.466377.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_strict_acc,none": 0.4292565947242206, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.37153419593345655, "prompt_level_loose_acc_stderr,none": 0.020794253888707582, "inst_level_loose_acc,none": 0.4772182254196642, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.6038396679206123, "acc_norm_stderr,none": 0.005114412741319218, "prompt_level_strict_acc,none": 0.3197781885397412, "prompt_level_strict_acc_stderr,none": 0.02007025155658027, "exact_match,none": 0.47583081570996977, "exact_match_stderr,none": 0.011997412930703567, "acc,none": 0.559341755319149, "acc_stderr,none": 0.004526251764884398, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6627321645547648, "acc_norm_stderr,none": 0.0057158112089299344, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.904, "acc_norm_stderr,none": 0.01866896141947719 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6951871657754011, "acc_norm_stderr,none": 0.03375289476367582 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.736, "acc_norm_stderr,none": 0.027934518957690866 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.74, "acc_norm_stderr,none": 0.027797315752644335 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.724, "acc_norm_stderr,none": 0.02832853727421142 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.03109668818482536 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.868, "acc_norm_stderr,none": 0.021450980824038166 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.03160397514522374 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.7328767123287672, "acc_norm_stderr,none": 0.03674407640319397 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.672, "acc_norm_stderr,none": 0.029752391824475363 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8707865168539326, "acc_norm_stderr,none": 0.02521291917508837 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.864, "acc_norm_stderr,none": 0.021723342617052086 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_gpqa": { "acc_norm,none": 0.39429530201342283, "acc_norm_stderr,none": 0.014165615446017703, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3939393939393939, "acc_norm_stderr,none": 0.03481285338232962 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3791208791208791, "acc_norm_stderr,none": 0.02078232480021949 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.41294642857142855, "acc_norm_stderr,none": 0.023287987691016507 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.3197781885397412, "prompt_level_strict_acc_stderr,none": 0.02007025155658027, "inst_level_strict_acc,none": 0.4292565947242206, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.37153419593345655, "prompt_level_loose_acc_stderr,none": 0.020794253888707582, "inst_level_loose_acc,none": 0.47721822541966424, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.47583081570996977, "exact_match_stderr,none": 0.011997412930703567, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.752442996742671, "exact_match_stderr,none": 0.024672530661985218 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.4959349593495935, "exact_match_stderr,none": 0.045266376933577414 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.3181818181818182, "exact_match_stderr,none": 0.040694556602840146 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.16428571428571428, "exact_match_stderr,none": 0.02218332855621051 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.577922077922078, "exact_match_stderr,none": 0.039928706872358506 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.7150259067357513, "exact_match_stderr,none": 0.032577140777096614 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.17037037037037037, "exact_match_stderr,none": 0.032477811859955956 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.559341755319149, "acc_stderr,none": 0.004526251764884398 }, "leaderboard_musr": { "acc_norm,none": 0.48544973544973546, "acc_norm_stderr,none": 0.017990685826838902, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.03109668818482536 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.4375, "acc_norm_stderr,none": 0.031065632609231775 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.424, "acc_norm_stderr,none": 0.03131803437491622 } }, "leaderboard": { "inst_level_strict_acc,none": 0.4292565947242206, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.37153419593345655, "prompt_level_loose_acc_stderr,none": 0.020794253888707582, "inst_level_loose_acc,none": 0.4772182254196642, "inst_level_loose_acc_stderr,none": "N/A", "acc_norm,none": 0.6038396679206123, "acc_norm_stderr,none": 0.005114412741319218, "prompt_level_strict_acc,none": 0.3197781885397412, "prompt_level_strict_acc_stderr,none": 0.02007025155658027, "exact_match,none": 0.47583081570996977, "exact_match_stderr,none": 0.011997412930703567, "acc,none": 0.559341755319149, "acc_stderr,none": 0.004526251764884398, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6627321645547648, "acc_norm_stderr,none": 0.0057158112089299344, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.904, "acc_norm_stderr,none": 0.01866896141947719 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6951871657754011, "acc_norm_stderr,none": 0.03375289476367582 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.736, "acc_norm_stderr,none": 0.027934518957690866 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.74, "acc_norm_stderr,none": 0.027797315752644335 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.724, "acc_norm_stderr,none": 0.02832853727421142 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.03109668818482536 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223569 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.03166085340849512 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.868, "acc_norm_stderr,none": 0.021450980824038166 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.78, "acc_norm_stderr,none": 0.02625179282460579 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.76, "acc_norm_stderr,none": 0.027065293652238982 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.03160397514522374 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.7328767123287672, "acc_norm_stderr,none": 0.03674407640319397 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.02496069198917196 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.672, "acc_norm_stderr,none": 0.029752391824475363 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.8707865168539326, "acc_norm_stderr,none": 0.02521291917508837 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.728, "acc_norm_stderr,none": 0.028200088296309975 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.864, "acc_norm_stderr,none": 0.021723342617052086 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.252, "acc_norm_stderr,none": 0.027513851933031318 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955240978 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401222 }, "leaderboard_gpqa": { "acc_norm,none": 0.39429530201342283, "acc_norm_stderr,none": 0.014165615446017703, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3939393939393939, "acc_norm_stderr,none": 0.03481285338232962 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3791208791208791, "acc_norm_stderr,none": 0.02078232480021949 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.41294642857142855, "acc_norm_stderr,none": 0.023287987691016507 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.3197781885397412, "prompt_level_strict_acc_stderr,none": 0.02007025155658027, "inst_level_strict_acc,none": 0.4292565947242206, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.37153419593345655, "prompt_level_loose_acc_stderr,none": 0.020794253888707582, "inst_level_loose_acc,none": 0.47721822541966424, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.47583081570996977, "exact_match_stderr,none": 0.011997412930703567, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.752442996742671, "exact_match_stderr,none": 0.024672530661985218 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.4959349593495935, "exact_match_stderr,none": 0.045266376933577414 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.3181818181818182, "exact_match_stderr,none": 0.040694556602840146 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.16428571428571428, "exact_match_stderr,none": 0.02218332855621051 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.577922077922078, "exact_match_stderr,none": 0.039928706872358506 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.7150259067357513, "exact_match_stderr,none": 0.032577140777096614 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.17037037037037037, "exact_match_stderr,none": 0.032477811859955956 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.559341755319149, "acc_stderr,none": 0.004526251764884398 }, "leaderboard_musr": { "acc_norm,none": 0.48544973544973546, "acc_norm_stderr,none": 0.017990685826838902, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.03109668818482536 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.4375, "acc_norm_stderr,none": 0.031065632609231775 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.424, "acc_norm_stderr,none": 0.03131803437491622 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

lomov/29labels_v2

lomov

"2024-12-25T22:40:26Z"

0

[ "license:apache-2.0", "region:us" ]

null

"2024-12-25T22:39:45Z"

--- license: apache-2.0 ---

1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr10k_ep3tmp07

1231czx

"2024-12-25T22:41:57Z"

0

[ "region:us" ]

null

"2024-12-25T22:41:56Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18847970 num_examples: 5000 download_size: 6420427 dataset_size: 18847970 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/Saxo__Linkbricks-Horizon-AI-Superb-27B-details

open-llm-leaderboard

"2024-12-25T22:45:49Z"

0

[ "region:us" ]

null

"2024-12-25T22:42:50Z"

--- pretty_name: Evaluation run of Saxo/Linkbricks-Horizon-AI-Superb-27B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Saxo/Linkbricks-Horizon-AI-Superb-27B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Superb-27B)\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/Saxo__Linkbricks-Horizon-AI-Superb-27B-details\"\ ,\n\tname=\"Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-12-25T22-42-49.895693](https://huggingface.co/datasets/open-llm-leaderboard/Saxo__Linkbricks-Horizon-AI-Superb-27B-details/blob/main/Saxo__Linkbricks-Horizon-AI-Superb-27B/results_2024-12-25T22-42-49.895693.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_loose_acc,none\": 0.7134935304990758,\n \"\ prompt_level_loose_acc_stderr,none\": 0.01945652858321169,\n \"prompt_level_strict_acc,none\"\ : 0.6894639556377079,\n \"prompt_level_strict_acc_stderr,none\": 0.019912001290591178,\n\ \ \"acc,none\": 0.406000664893617,\n \"acc_stderr,none\":\ \ 0.004477189622270791,\n \"inst_level_strict_acc,none\": 0.7709832134292566,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ : 0.5619405889220391,\n \"acc_norm_stderr,none\": 0.005256728642101159,\n\ \ \"exact_match,none\": 0.15709969788519637,\n \"exact_match_stderr,none\"\ : 0.009342657681072883,\n \"inst_level_loose_acc,none\": 0.7925659472422062,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"alias\"\ : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.6170803679916681,\n \"acc_norm_stderr,none\": 0.005982137660474842,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ \ \"acc_norm,none\": 0.892,\n \"acc_norm_stderr,none\": 0.019669559381568776\n\ \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.6149732620320856,\n\ \ \"acc_norm_stderr,none\": 0.03567936280544673\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ ,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.752,\n\ \ \"acc_norm_stderr,none\": 0.027367497504863593\n },\n \ \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\":\ \ 0.03056207062099311\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ \ \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.788,\n \ \ \"acc_norm_stderr,none\": 0.025901884690541117\n },\n \"\ leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\": \" \ \ - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743\n },\n\ \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.03162125257572558\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ \ \"acc_norm,none\": 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ : 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\":\ \ 0.030491555220405475\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ \ \"acc_norm,none\": 0.436,\n \"acc_norm_stderr,none\": 0.031425567060281365\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ : 0.6095890410958904,\n \"acc_norm_stderr,none\": 0.040513109165891854\n\ \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ \ \"acc_norm,none\": 0.764,\n \"acc_norm_stderr,none\": 0.026909337594953852\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.752,\n \ \ \"acc_norm_stderr,none\": 0.027367497504863593\n },\n \"\ leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ : 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n },\n\ \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7584269662921348,\n \"acc_norm_stderr,none\"\ : 0.032173216138332565\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ \ \"acc_norm,none\": 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.86,\n\ \ \"acc_norm_stderr,none\": 0.021989409645240245\n },\n \ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ \ \"acc_norm,none\": 0.26,\n \"acc_norm_stderr,none\": 0.027797315752644335\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\":\ \ 0.02915021337415965\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.464,\n\ \ \"acc_norm_stderr,none\": 0.03160397514522374\n },\n \ \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3573825503355705,\n\ \ \"acc_norm_stderr,none\": 0.013897218993125009,\n \"alias\"\ : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ : 0.3686868686868687,\n \"acc_norm_stderr,none\": 0.03437305501980615\n\ \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.3553113553113553,\n\ \ \"acc_norm_stderr,none\": 0.02050129537631028\n },\n \ \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.3549107142857143,\n \"acc_norm_stderr,none\"\ : 0.022631623416326775\n },\n \"leaderboard_ifeval\": {\n \ \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ : 0.6894639556377079,\n \"prompt_level_strict_acc_stderr,none\": 0.019912001290591178,\n\ \ \"inst_level_strict_acc,none\": 0.7709832134292566,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7134935304990758,\n \"prompt_level_loose_acc_stderr,none\": 0.01945652858321169,\n\ \ \"inst_level_loose_acc,none\": 0.7925659472422062,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.15709969788519637,\n \"exact_match_stderr,none\"\ : 0.009342657681072883,\n \"alias\": \" - leaderboard_math_hard\"\n \ \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.3322475570032573,\n\ \ \"exact_match_stderr,none\": 0.026926377345574907\n },\n \ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.10569105691056911,\n \"exact_match_stderr,none\": 0.0278344722877674\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.022727272727272728,\n\ \ \"exact_match_stderr,none\": 0.0130210469090637\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\": \"\ \ - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ : 0.03214285714285714,\n \"exact_match_stderr,none\": 0.01055955866175321\n\ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.07142857142857142,\n\ \ \"exact_match_stderr,none\": 0.020820824576076338\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.31088082901554404,\n \"exact_match_stderr,none\"\ : 0.03340361906276587\n },\n \"leaderboard_math_precalculus_hard\"\ : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ \ \"exact_match,none\": 0.07407407407407407,\n \"exact_match_stderr,none\"\ : 0.02262397117709356\n },\n \"leaderboard_mmlu_pro\": {\n \ \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.406000664893617,\n\ \ \"acc_stderr,none\": 0.004477189622270791\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4642857142857143,\n \"acc_norm_stderr,none\"\ : 0.01774886189462961,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.616,\n\ \ \"acc_norm_stderr,none\": 0.030821679117375447\n },\n \ \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.375,\n \"acc_norm_stderr,none\":\ \ 0.03031695312954162\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ \ \"acc_norm,none\": 0.404,\n \"acc_norm_stderr,none\": 0.03109668818482536\n\ \ }\n },\n \"leaderboard\": {\n \"prompt_level_loose_acc,none\"\ : 0.7134935304990758,\n \"prompt_level_loose_acc_stderr,none\": 0.01945652858321169,\n\ \ \"prompt_level_strict_acc,none\": 0.6894639556377079,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.019912001290591178,\n \"acc,none\": 0.406000664893617,\n \"acc_stderr,none\"\ : 0.004477189622270791,\n \"inst_level_strict_acc,none\": 0.7709832134292566,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ : 0.5619405889220391,\n \"acc_norm_stderr,none\": 0.005256728642101159,\n\ \ \"exact_match,none\": 0.15709969788519637,\n \"exact_match_stderr,none\"\ : 0.009342657681072883,\n \"inst_level_loose_acc,none\": 0.7925659472422062,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6170803679916681,\n\ \ \"acc_norm_stderr,none\": 0.005982137660474842,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ : 0.892,\n \"acc_norm_stderr,none\": 0.019669559381568776\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ ,\n \"acc_norm,none\": 0.6149732620320856,\n \"acc_norm_stderr,none\"\ : 0.03567936280544673\n },\n \"leaderboard_bbh_date_understanding\": {\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ : 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\"\ : 0.752,\n \"acc_norm_stderr,none\": 0.027367497504863593\n },\n \"\ leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ ,\n \"acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\": 0.03056207062099311\n\ \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ ,\n \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349\n\ \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ ,\n \"acc_norm,none\": 0.788,\n \"acc_norm_stderr,none\": 0.025901884690541117\n\ \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ : 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743\n },\n \"\ leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ ,\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.03162125257572558\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ : 0.756,\n \"acc_norm_stderr,none\": 0.02721799546455311\n },\n \"\ leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ ,\n \"acc_norm,none\": 0.712,\n \"acc_norm_stderr,none\": 0.028697004587398257\n\ \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ ,\n \"acc_norm,none\": 0.636,\n \"acc_norm_stderr,none\": 0.030491555220405475\n\ \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ ,\n \"acc_norm,none\": 0.436,\n \"acc_norm_stderr,none\": 0.031425567060281365\n\ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6095890410958904,\n\ \ \"acc_norm_stderr,none\": 0.040513109165891854\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ ,\n \"acc_norm,none\": 0.764,\n \"acc_norm_stderr,none\": 0.026909337594953852\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ ,\n \"acc_norm,none\": 0.752,\n \"acc_norm_stderr,none\": 0.027367497504863593\n\ \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ \ \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ ,\n \"acc_norm,none\": 0.7584269662921348,\n \"acc_norm_stderr,none\"\ : 0.032173216138332565\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ : 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ ,\n \"acc_norm,none\": 0.86,\n \"acc_norm_stderr,none\": 0.021989409645240245\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ ,\n \"acc_norm,none\": 0.26,\n \"acc_norm_stderr,none\": 0.027797315752644335\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ ,\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.02915021337415965\n\ \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ ,\n \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\": 0.030760116042626098\n\ \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ ,\n \"acc_norm,none\": 0.464,\n \"acc_norm_stderr,none\": 0.03160397514522374\n\ \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3573825503355705,\n\ \ \"acc_norm_stderr,none\": 0.013897218993125009,\n \"alias\": \"\ \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3686868686868687,\n\ \ \"acc_norm_stderr,none\": 0.03437305501980615\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ : 0.3553113553113553,\n \"acc_norm_stderr,none\": 0.02050129537631028\n \ \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ ,\n \"acc_norm,none\": 0.3549107142857143,\n \"acc_norm_stderr,none\"\ : 0.022631623416326775\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.6894639556377079,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.019912001290591178,\n \ \ \"inst_level_strict_acc,none\": 0.7709832134292566,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7134935304990758,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01945652858321169,\n \"inst_level_loose_acc,none\"\ : 0.7925659472422062,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.15709969788519637,\n\ \ \"exact_match_stderr,none\": 0.009342657681072883,\n \"alias\":\ \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ : 0.3322475570032573,\n \"exact_match_stderr,none\": 0.026926377345574907\n\ \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ : 0.10569105691056911,\n \"exact_match_stderr,none\": 0.0278344722877674\n\ \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ ,\n \"exact_match,none\": 0.022727272727272728,\n \"exact_match_stderr,none\"\ : 0.0130210469090637\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ \ \"exact_match,none\": 0.03214285714285714,\n \"exact_match_stderr,none\"\ : 0.01055955866175321\n },\n \"leaderboard_math_num_theory_hard\": {\n \ \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ : 0.07142857142857142,\n \"exact_match_stderr,none\": 0.020820824576076338\n\ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ ,\n \"exact_match,none\": 0.31088082901554404,\n \"exact_match_stderr,none\"\ : 0.03340361906276587\n },\n \"leaderboard_math_precalculus_hard\": {\n \ \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ : 0.07407407407407407,\n \"exact_match_stderr,none\": 0.02262397117709356\n\ \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ ,\n \"acc,none\": 0.406000664893617,\n \"acc_stderr,none\": 0.004477189622270791\n\ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4642857142857143,\n\ \ \"acc_norm_stderr,none\": 0.01774886189462961,\n \"alias\": \" -\ \ leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ : 0.616,\n \"acc_norm_stderr,none\": 0.030821679117375447\n },\n \"\ leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ ,\n \"acc_norm,none\": 0.375,\n \"acc_norm_stderr,none\": 0.03031695312954162\n\ \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ ,\n \"acc_norm,none\": 0.404,\n \"acc_norm_stderr,none\": 0.03109668818482536\n\ \ }\n}\n```" repo_url: https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Superb-27B leaderboard_url: '' point_of_contact: '' configs: - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_boolean_expressions data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_causal_judgement data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_date_understanding data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_formal_fallacies data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_geometric_shapes data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_hyperbaton data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_movie_recommendation data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_navigate data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_object_counting data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_ruin_names data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_snarks data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_sports_understanding data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_temporal_sequences data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_web_of_lies data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_gpqa_diamond data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_gpqa_extended data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_gpqa_main data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_gpqa_main_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_ifeval data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_ifeval_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_algebra_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_geometry_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_num_theory_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_prealgebra_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_math_precalculus_hard data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_mmlu_pro data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_musr_murder_mysteries data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_musr_object_placements data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-12-25T22-42-49.895693.jsonl' - config_name: Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_musr_team_allocation data_files: - split: 2024_12_25T22_42_49.895693 path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T22-42-49.895693.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-12-25T22-42-49.895693.jsonl' --- # Dataset Card for Evaluation run of Saxo/Linkbricks-Horizon-AI-Superb-27B  Dataset automatically created during the evaluation run of model [Saxo/Linkbricks-Horizon-AI-Superb-27B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Superb-27B) 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/Saxo__Linkbricks-Horizon-AI-Superb-27B-details", name="Saxo__Linkbricks-Horizon-AI-Superb-27B__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-12-25T22-42-49.895693](https://huggingface.co/datasets/open-llm-leaderboard/Saxo__Linkbricks-Horizon-AI-Superb-27B-details/blob/main/Saxo__Linkbricks-Horizon-AI-Superb-27B/results_2024-12-25T22-42-49.895693.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_loose_acc,none": 0.7134935304990758, "prompt_level_loose_acc_stderr,none": 0.01945652858321169, "prompt_level_strict_acc,none": 0.6894639556377079, "prompt_level_strict_acc_stderr,none": 0.019912001290591178, "acc,none": 0.406000664893617, "acc_stderr,none": 0.004477189622270791, "inst_level_strict_acc,none": 0.7709832134292566, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.5619405889220391, "acc_norm_stderr,none": 0.005256728642101159, "exact_match,none": 0.15709969788519637, "exact_match_stderr,none": 0.009342657681072883, "inst_level_loose_acc,none": 0.7925659472422062, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6170803679916681, "acc_norm_stderr,none": 0.005982137660474842, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.892, "acc_norm_stderr,none": 0.019669559381568776 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6149732620320856, "acc_norm_stderr,none": 0.03567936280544673 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010743 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.03162125257572558 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.436, "acc_norm_stderr,none": 0.031425567060281365 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6095890410958904, "acc_norm_stderr,none": 0.040513109165891854 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.764, "acc_norm_stderr,none": 0.026909337594953852 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7584269662921348, "acc_norm_stderr,none": 0.032173216138332565 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.86, "acc_norm_stderr,none": 0.021989409645240245 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.26, "acc_norm_stderr,none": 0.027797315752644335 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.03160397514522374 }, "leaderboard_gpqa": { "acc_norm,none": 0.3573825503355705, "acc_norm_stderr,none": 0.013897218993125009, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3686868686868687, "acc_norm_stderr,none": 0.03437305501980615 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3553113553113553, "acc_norm_stderr,none": 0.02050129537631028 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.3549107142857143, "acc_norm_stderr,none": 0.022631623416326775 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.6894639556377079, "prompt_level_strict_acc_stderr,none": 0.019912001290591178, "inst_level_strict_acc,none": 0.7709832134292566, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7134935304990758, "prompt_level_loose_acc_stderr,none": 0.01945652858321169, "inst_level_loose_acc,none": 0.7925659472422062, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.15709969788519637, "exact_match_stderr,none": 0.009342657681072883, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.3322475570032573, "exact_match_stderr,none": 0.026926377345574907 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.10569105691056911, "exact_match_stderr,none": 0.0278344722877674 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.022727272727272728, "exact_match_stderr,none": 0.0130210469090637 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.03214285714285714, "exact_match_stderr,none": 0.01055955866175321 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07142857142857142, "exact_match_stderr,none": 0.020820824576076338 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.31088082901554404, "exact_match_stderr,none": 0.03340361906276587 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.07407407407407407, "exact_match_stderr,none": 0.02262397117709356 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.406000664893617, "acc_stderr,none": 0.004477189622270791 }, "leaderboard_musr": { "acc_norm,none": 0.4642857142857143, "acc_norm_stderr,none": 0.01774886189462961, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.375, "acc_norm_stderr,none": 0.03031695312954162 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.404, "acc_norm_stderr,none": 0.03109668818482536 } }, "leaderboard": { "prompt_level_loose_acc,none": 0.7134935304990758, "prompt_level_loose_acc_stderr,none": 0.01945652858321169, "prompt_level_strict_acc,none": 0.6894639556377079, "prompt_level_strict_acc_stderr,none": 0.019912001290591178, "acc,none": 0.406000664893617, "acc_stderr,none": 0.004477189622270791, "inst_level_strict_acc,none": 0.7709832134292566, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.5619405889220391, "acc_norm_stderr,none": 0.005256728642101159, "exact_match,none": 0.15709969788519637, "exact_match_stderr,none": 0.009342657681072883, "inst_level_loose_acc,none": 0.7925659472422062, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.6170803679916681, "acc_norm_stderr,none": 0.005982137660474842, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "alias": " - leaderboard_bbh_boolean_expressions", "acc_norm,none": 0.892, "acc_norm_stderr,none": 0.019669559381568776 }, "leaderboard_bbh_causal_judgement": { "alias": " - leaderboard_bbh_causal_judgement", "acc_norm,none": 0.6149732620320856, "acc_norm_stderr,none": 0.03567936280544673 }, "leaderboard_bbh_date_understanding": { "alias": " - leaderboard_bbh_date_understanding", "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253316 }, "leaderboard_bbh_disambiguation_qa": { "alias": " - leaderboard_bbh_disambiguation_qa", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_formal_fallacies": { "alias": " - leaderboard_bbh_formal_fallacies", "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.03056207062099311 }, "leaderboard_bbh_geometric_shapes": { "alias": " - leaderboard_bbh_geometric_shapes", "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115349 }, "leaderboard_bbh_hyperbaton": { "alias": " - leaderboard_bbh_hyperbaton", "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541117 }, "leaderboard_bbh_logical_deduction_five_objects": { "alias": " - leaderboard_bbh_logical_deduction_five_objects", "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010743 }, "leaderboard_bbh_logical_deduction_seven_objects": { "alias": " - leaderboard_bbh_logical_deduction_seven_objects", "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.03162125257572558 }, "leaderboard_bbh_logical_deduction_three_objects": { "alias": " - leaderboard_bbh_logical_deduction_three_objects", "acc_norm,none": 0.756, "acc_norm_stderr,none": 0.02721799546455311 }, "leaderboard_bbh_movie_recommendation": { "alias": " - leaderboard_bbh_movie_recommendation", "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.028697004587398257 }, "leaderboard_bbh_navigate": { "alias": " - leaderboard_bbh_navigate", "acc_norm,none": 0.636, "acc_norm_stderr,none": 0.030491555220405475 }, "leaderboard_bbh_object_counting": { "alias": " - leaderboard_bbh_object_counting", "acc_norm,none": 0.436, "acc_norm_stderr,none": 0.031425567060281365 }, "leaderboard_bbh_penguins_in_a_table": { "alias": " - leaderboard_bbh_penguins_in_a_table", "acc_norm,none": 0.6095890410958904, "acc_norm_stderr,none": 0.040513109165891854 }, "leaderboard_bbh_reasoning_about_colored_objects": { "alias": " - leaderboard_bbh_reasoning_about_colored_objects", "acc_norm,none": 0.764, "acc_norm_stderr,none": 0.026909337594953852 }, "leaderboard_bbh_ruin_names": { "alias": " - leaderboard_bbh_ruin_names", "acc_norm,none": 0.752, "acc_norm_stderr,none": 0.027367497504863593 }, "leaderboard_bbh_salient_translation_error_detection": { "alias": " - leaderboard_bbh_salient_translation_error_detection", "acc_norm,none": 0.604, "acc_norm_stderr,none": 0.030993197854577898 }, "leaderboard_bbh_snarks": { "alias": " - leaderboard_bbh_snarks", "acc_norm,none": 0.7584269662921348, "acc_norm_stderr,none": 0.032173216138332565 }, "leaderboard_bbh_sports_understanding": { "alias": " - leaderboard_bbh_sports_understanding", "acc_norm,none": 0.84, "acc_norm_stderr,none": 0.023232714782060626 }, "leaderboard_bbh_temporal_sequences": { "alias": " - leaderboard_bbh_temporal_sequences", "acc_norm,none": 0.86, "acc_norm_stderr,none": 0.021989409645240245 }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", "acc_norm,none": 0.26, "acc_norm_stderr,none": 0.027797315752644335 }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.02915021337415965 }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626098 }, "leaderboard_bbh_web_of_lies": { "alias": " - leaderboard_bbh_web_of_lies", "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.03160397514522374 }, "leaderboard_gpqa": { "acc_norm,none": 0.3573825503355705, "acc_norm_stderr,none": 0.013897218993125009, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "alias": " - leaderboard_gpqa_diamond", "acc_norm,none": 0.3686868686868687, "acc_norm_stderr,none": 0.03437305501980615 }, "leaderboard_gpqa_extended": { "alias": " - leaderboard_gpqa_extended", "acc_norm,none": 0.3553113553113553, "acc_norm_stderr,none": 0.02050129537631028 }, "leaderboard_gpqa_main": { "alias": " - leaderboard_gpqa_main", "acc_norm,none": 0.3549107142857143, "acc_norm_stderr,none": 0.022631623416326775 }, "leaderboard_ifeval": { "alias": " - leaderboard_ifeval", "prompt_level_strict_acc,none": 0.6894639556377079, "prompt_level_strict_acc_stderr,none": 0.019912001290591178, "inst_level_strict_acc,none": 0.7709832134292566, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7134935304990758, "prompt_level_loose_acc_stderr,none": 0.01945652858321169, "inst_level_loose_acc,none": 0.7925659472422062, "inst_level_loose_acc_stderr,none": "N/A" }, "leaderboard_math_hard": { "exact_match,none": 0.15709969788519637, "exact_match_stderr,none": 0.009342657681072883, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "alias": " - leaderboard_math_algebra_hard", "exact_match,none": 0.3322475570032573, "exact_match_stderr,none": 0.026926377345574907 }, "leaderboard_math_counting_and_prob_hard": { "alias": " - leaderboard_math_counting_and_prob_hard", "exact_match,none": 0.10569105691056911, "exact_match_stderr,none": 0.0278344722877674 }, "leaderboard_math_geometry_hard": { "alias": " - leaderboard_math_geometry_hard", "exact_match,none": 0.022727272727272728, "exact_match_stderr,none": 0.0130210469090637 }, "leaderboard_math_intermediate_algebra_hard": { "alias": " - leaderboard_math_intermediate_algebra_hard", "exact_match,none": 0.03214285714285714, "exact_match_stderr,none": 0.01055955866175321 }, "leaderboard_math_num_theory_hard": { "alias": " - leaderboard_math_num_theory_hard", "exact_match,none": 0.07142857142857142, "exact_match_stderr,none": 0.020820824576076338 }, "leaderboard_math_prealgebra_hard": { "alias": " - leaderboard_math_prealgebra_hard", "exact_match,none": 0.31088082901554404, "exact_match_stderr,none": 0.03340361906276587 }, "leaderboard_math_precalculus_hard": { "alias": " - leaderboard_math_precalculus_hard", "exact_match,none": 0.07407407407407407, "exact_match_stderr,none": 0.02262397117709356 }, "leaderboard_mmlu_pro": { "alias": " - leaderboard_mmlu_pro", "acc,none": 0.406000664893617, "acc_stderr,none": 0.004477189622270791 }, "leaderboard_musr": { "acc_norm,none": 0.4642857142857143, "acc_norm_stderr,none": 0.01774886189462961, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "alias": " - leaderboard_musr_murder_mysteries", "acc_norm,none": 0.616, "acc_norm_stderr,none": 0.030821679117375447 }, "leaderboard_musr_object_placements": { "alias": " - leaderboard_musr_object_placements", "acc_norm,none": 0.375, "acc_norm_stderr,none": 0.03031695312954162 }, "leaderboard_musr_team_allocation": { "alias": " - leaderboard_musr_team_allocation", "acc_norm,none": 0.404, "acc_norm_stderr,none": 0.03109668818482536 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

1231czx/llama31_chat_format_20k_ep3tmp07

1231czx

"2024-12-25T22:42:57Z"

0

[ "region:us" ]

null

"2024-12-25T22:42:56Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18375713 num_examples: 5000 download_size: 6315088 dataset_size: 18375713 configs: - config_name: default data_files: - split: train path: data/train-* ---

1231czx/llama31_test_chat_format_20k_only_firstwrong_and_regular_first_corr10k_ep3tmp0

1231czx

"2024-12-25T22:48:52Z"

0

[ "region:us" ]

null

"2024-12-25T22:48:51Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18887181 num_examples: 5000 download_size: 5862719 dataset_size: 18887181 configs: - config_name: default data_files: - split: train path: data/train-* ---

1231czx/llama31_chat_format_20k_ep3tmp0

1231czx

"2024-12-25T22:49:44Z"

0

[ "region:us" ]

null

"2024-12-25T22:49:42Z"

--- dataset_info: features: - name: idx dtype: int64 - name: gt dtype: string - name: prompt dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: my_solu sequence: string - name: pred sequence: string - name: rewards sequence: bool splits: - name: train num_bytes: 18125956 num_examples: 5000 download_size: 5821588 dataset_size: 18125956 configs: - config_name: default data_files: - split: train path: data/train-* ---

metalure/SEER-sft-02

metalure

"2024-12-26T01:11:13Z"

0

[ "region:us" ]

null

"2024-12-25T22:55:07Z"

--- dataset_info: features: - name: prompt list: - name: content dtype: string - name: role dtype: string - name: completion dtype: string - name: constitutions list: - name: answers sequence: string - name: content dtype: string - name: id dtype: string - name: preferred_answer dtype: int64 splits: - name: train num_bytes: 6016095 num_examples: 1000 download_size: 2387527 dataset_size: 6016095 configs: - config_name: default data_files: - split: train path: data/train-* ---

maniro-ai/2024-12-25-rod-barn-all-grasp-berry-mjpeg

maniro-ai

"2024-12-25T23:03:00Z"

0

[ "task_categories:robotics", "region:us", "LeRobot" ]

[ "robotics" ]

"2024-12-25T22:56:15Z"

--- task_categories: - robotics tags: - LeRobot --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).

spiralworks/lg_domain_gen_2015_2020_test_6

spiralworks

"2024-12-25T23:17:37Z"

0

[ "region:us" ]

null

"2024-12-25T22:58:51Z"

--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: authors sequence: string - name: abstract dtype: string - name: year dtype: string - name: venue dtype: string - name: keywords sequence: string - name: pdf_url dtype: string - name: forum_url dtype: string - name: forum_raw_text sequence: string - name: reviews_raw_text sequence: string - name: average_rating dtype: float64 - name: average_confidence dtype: float64 - name: reviews sequence: string splits: - name: train num_bytes: 96432221 num_examples: 2506 download_size: 47960225 dataset_size: 96432221 configs: - config_name: default data_files: - split: train path: data/train-* ---

UniDataPro/water-meters

UniDataPro

"2024-12-25T23:10:22Z"

0

1

[ "task_categories:image-segmentation", "license:cc-by-nc-nd-4.0", "size_categories:1K<n<10K", "modality:image", "region:us", "water meter", "smart city", "computer vision", "image", "communal service" ]

[ "image-segmentation" ]

"2024-12-25T23:06:11Z"

--- license: cc-by-nc-nd-4.0 task_categories: - image-segmentation tags: - water meter - smart city - computer vision - image - communal service size_categories: - 1K<n<10K --- # Water Meters Dataset - OCR, Masks Dataset comprises **5,000+** images of water meters, including their corresponding **segmentation masks** and** OCR labels** for meter readings. It is designed to facilitate research in **water consumption analysis** and **smart meter technology**, providing valuable insights into residential and commercial water usage. By utilizing this dataset, researchers and developers can enhance their understanding of water meter readings and improve methods for **automatic recognition** and data collection. - **[Get the data](https://unidata.pro/datasets/water-meters/?utm_source=huggingface&utm_medium=cpc&utm_campaign=water-meters)** # Example of the data ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22059654%2F7580bad9a4e171194a942954cc469a3e%2FFrame%20185.png?generation=1735167809138042&alt=media) Each image in the dataset contains critical information such as the value of the water meter and the location of the bounding box, enabling accurate meter reading extraction. The dataset is organized into three distinct folders: bounding box images, original images, and segmentation masks, allowing for efficient data management and accessibility. # 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/water-meters/?utm_source=huggingface&utm_medium=cpc&utm_campaign=water-meters) to discuss your requirements and pricing options. This dataset provides a solid foundation for developing advanced recognition algorithms and improving the accuracy of water meter reading systems, which are essential for effective water resource management and conservation efforts. # 🌐 [UniData](https://unidata.pro/datasets/water-meters/?utm_source=huggingface&utm_medium=cpc&utm_campaign=water-meters) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects

AhmedBadawy11/UAE_instructions_responses

AhmedBadawy11

"2024-12-25T23:09:17Z"

0

[ "region:us" ]

null

"2024-12-25T23:09:16Z"

--- dataset_info: features: - name: instruction dtype: string - name: response dtype: string splits: - name: train num_bytes: 30843 num_examples: 100 download_size: 17868 dataset_size: 30843 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettavuw/D_gen3_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw

dgambettavuw

"2024-12-25T23:09:47Z"

0

[ "region:us" ]

null

"2024-12-25T23:09:43Z"

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 794952 num_examples: 1000 download_size: 421633 dataset_size: 794952 configs: - config_name: default data_files: - split: train path: data/train-* ---

meteorinc/yesbro1

meteorinc

"2024-12-25T23:24:57Z"

0

[ "task_categories:robotics", "license:apache-2.0", "region:us", "LeRobot", "tutorial" ]

[ "robotics" ]

"2024-12-25T23:24:49Z"

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - tutorial configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "koch", "total_episodes": 5, "total_frames": 2405, "total_tasks": 1, "total_videos": 10, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:5" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "main_shoulder_pan", "main_shoulder_lift", "main_elbow_flex", "main_wrist_flex", "main_wrist_roll", "main_gripper" ] }, "observation.images.laptop": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.phone": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

winglian/evolkit-logprobs-prepared-kd-temp-2_0-context-8k

winglian

"2024-12-25T23:57:04Z"

0

[ "region:us" ]

null

"2024-12-25T23:28:34Z"

--- configs: - config_name: subset_0 data_files: - split: train path: "data/subset_0/*.arrow" - config_name: subset_1 data_files: - split: train path: "data/subset_1/*.arrow" - config_name: subset_2 data_files: - split: train path: "data/subset_2/*.arrow" - config_name: subset_3 data_files: - split: train path: "data/subset_3/*.arrow" - config_name: subset_4 data_files: - split: train path: "data/subset_4/*.arrow" ---

paralaif/prl_crimson_maiden_style

paralaif

"2024-12-25T23:34:22Z"

0

[ "language:en", "license:cc0-1.0", "modality:image", "region:us", "image" ]

null

"2024-12-25T23:31:52Z"

--- language: - en pretty_name: "Crimson Maiden Lora Training Data" tags: - image license: "cc0-1.0" --- # prl_crimson_maiden_style Dataset This dataset is used to train my lora Crimson Maiden from Civitai.

qfq/train_all_features

qfq

"2024-12-25T23:37:56Z"

0

[ "region:us" ]

null

"2024-12-25T23:35:10Z"

--- dataset_info: features: - name: solution dtype: string - name: question dtype: string - name: cot_type dtype: string - name: source_type dtype: string - name: metadata dtype: string - name: cot dtype: 'null' - name: isqwen32bcorrect dtype: bool - name: isgenminicorrect dtype: bool - name: thinking_trajectories sequence: string - name: attempt dtype: string - name: thinking_tokens dtype: int64 - name: thinking_tokens_rounded dtype: int64 - name: answer_chars dtype: int64 - name: answer_tokens dtype: int64 - name: answer_tokens_rounded dtype: int64 - name: ratio_thinking_answer_tokens dtype: float64 splits: - name: train num_bytes: 9026942676 num_examples: 58137 download_size: 5820956367 dataset_size: 9026942676 configs: - config_name: default data_files: - split: train path: data/train-* ---

qfq/train_all_features_longest_correct

qfq

"2024-12-25T23:44:21Z"

0

[ "region:us" ]

null

"2024-12-25T23:42:09Z"

--- dataset_info: features: - name: solution dtype: string - name: question dtype: string - name: cot_type dtype: string - name: source_type dtype: string - name: metadata dtype: string - name: cot dtype: 'null' - name: isqwen32bcorrect dtype: bool - name: isgenminicorrect dtype: bool - name: thinking_trajectories sequence: string - name: attempt dtype: string - name: thinking_tokens dtype: int64 - name: thinking_tokens_rounded dtype: int64 - name: answer_chars dtype: int64 - name: answer_tokens dtype: int64 - name: answer_tokens_rounded dtype: int64 - name: ratio_thinking_answer_tokens dtype: float64 splits: - name: train num_bytes: 155270183.807214 num_examples: 1000 download_size: 7574894 dataset_size: 155270183.807214 configs: - config_name: default data_files: - split: train path: data/train-* --- ``` {'AI-MO/NuminaMath-CoT/aops_forum': 620, 'KbsdJames/Omni-MATH': 149, 'qfq/openaimath/Precalculus': 76, 'qfq/openaimath/Intermediate Algebra': 49, 'qfq/openaimath/Geometry': 27, 'qfq/openaimath/Number Theory': 17, 'qfq/openaimath/Counting & Probability': 15, 'daman1209arora/jeebench/math': 8, 'GAIR/OlympicArena/Math': 8, 'qfq/openaimath/Prealgebra': 6, 'AI-MO/NuminaMath-CoT/olympiads': 6, 'Hothan/OlympiadBench/Theorem proof/Math': 4, 'Hothan/OlympiadBench/Open-ended/Physics': 3, 'qfq/stats_qual': 3, 'TIGER-Lab/TheoremQA/integer': 2, 'baber/agieval/aqua_rat': 1, 'AI-MO/NuminaMath-CoT/cn_k12': 1, 'TIGER-Lab/TheoremQA/list of integer': 1, 'Hothan/OlympiadBench/Open-ended/Math': 1, 'Hothan/OlympiadBench/Theorem proof/Physics': 1, 'TIGER-Lab/TheoremQA/float': 1, 'qfq/openaimath/Algebra': 1} ```

gghozzit/20-quran-test

gghozzit

"2024-12-25T23:48:31Z"

0

[ "region:us" ]

null

"2024-12-25T23:45:45Z"

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 4872553 num_examples: 5148 download_size: 2401032 dataset_size: 4872553 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettavuw/D_gen4_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw

dgambettavuw

"2024-12-25T23:49:54Z"

0

[ "region:us" ]

null

"2024-12-25T23:49:50Z"

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 787746 num_examples: 1000 download_size: 414254 dataset_size: 787746 configs: - config_name: default data_files: - split: train path: data/train-* ---

eja/wikilite

eja

"2024-12-26T00:22:11Z"

0

[ "language:it", "language:es", "language:sc", "license:gfdl", "region:us", "sqlite", "wikipedia", "wikilite", "eja" ]

null

"2024-12-25T23:54:29Z"

--- license: gfdl language: - it - es - sc tags: - sqlite - wikipedia - wikilite - eja pretty_name: wikilite --- # Processed Wikipedia SQLite Databases for Wikilite This dataset provides pre-processed SQLite databases of Wikipedia articles for use with the [Wikilite](https://github.com/eja/wikilite) tool. These databases allow you to quickly and efficiently search and access Wikipedia content offline using Wikilite's lexical and semantic search capabilities. ## Supported Languages Currently, the dataset includes databases for the following languages: * **Sardinian (sc)** * **Italian (it)** * **Spanish (es)** More languages may be added in the future. ## Dataset Structure Each language is stored as a separate compressed file (`.db.gz`) within the dataset. For example: * `it.db.gz` - Italian Wikipedia database * `sc.db.gz` - Sardinian Wikipedia database * `es.db.gz` - Spanish Wikipedia database ## How to Use this Dataset 1. **Download the Desired Database:** Choose the database for the language you want to use and download the corresponding `.db.gz` file. 2. **Decompress the Database:** Use a tool like `gunzip` to decompress the downloaded file. For example, on Linux or macOS, you can run the following command in your terminal: ```bash gunzip it.db.gz ``` This will create the decompressed database file (`it.db` in the example above). 3. **Install Wikilite**: Follow the instructions on the [Wikilite github repo](https://github.com/eja/wikilite) to clone the repository and build the binary. 4. **Run Wikilite:** Navigate to the directory where you extracted the database and where you have the compiled `wikilite` binary. Use the `wikilite` command with the appropriate options. For example, to start the web interface for the Italian database, use: ```bash ./wikilite --db it.db --web ``` This will start a local web server allowing you to browse and search the Wikipedia content. **Command-line Usage:** Alternatively, you can search the database directly from the command line: ```bash ./wikilite --db it.db --cli ``` 5. **Access the Web Interface:** If you started the web server, open a web browser and navigate to `http://localhost:35248` to access the web interface. ## About Wikilite [Wikilite](https://github.com/eja/wikilite) is a tool that provides offline access to Wikipedia content, featuring: * **Fast and Flexible Lexical Searching:** Uses FTS5 (Full-Text Search 5) for efficient keyword-based searching. * **Enhanced Semantic Search:** Integrates with Qdrant (optional) for semantic search capabilities, allowing you to find information based on meaning rather than just keywords. * **Offline Access:** Enables access to Wikipedia articles without an internet connection. * **Command-Line Interface (CLI):** Allows direct searching from the terminal. * **Web Interface (Optional):** Provides a user-friendly way to browse and search content. ### Semantic Search Details Wikilite leverages text embeddings for its optional semantic search. This allows you to find results even if your query does not match keywords directly, handling cases like: * Typos in your search query. * Different wordings to express the same concept. * The article uses synonyms or related terms. **Note:** To enable semantic search, you'll need to have a running Qdrant instance and configure Wikilite accordingly. See the Wikilite GitHub repository for more details. ## Contributing If you would like to contribute databases for additional languages, please feel free to submit a pull request. ## Acknowledgments * [Wikipedia](https://www.wikipedia.org/): For providing the valuable data. * [SQLite](https://www.sqlite.org/): For the robust database engine. * [Qdrant](https://qdrant.tech/): For the high-performance vector database used in semantic search. * [Wikilite](https://github.com/eja/wikilite): For making this project possible.

BuiMinh/final

BuiMinh

"2024-12-25T23:58:41Z"

0

[ "region:us" ]

null

"2024-12-25T23:54:34Z"

--- dataset_info: features: - name: timestamp dtype: string - name: open dtype: float64 - name: high dtype: float64 - name: low dtype: float64 - name: close dtype: float64 - name: volume dtype: float64 - name: MA_20 dtype: float64 - name: MA_50 dtype: float64 - name: MA_200 dtype: float64 - name: RSI dtype: float64 - name: '%K' dtype: float64 - name: '%D' dtype: float64 - name: ADX dtype: float64 - name: ATR dtype: float64 - name: BB_Upper dtype: float64 - name: BB_Lower dtype: float64 - name: MACD dtype: float64 - name: Signal dtype: float64 - name: Histogram dtype: float64 - name: Trendline dtype: float64 - name: NW_Upper dtype: float64 - name: NW_Lower dtype: float64 splits: - name: train num_bytes: 3969944 num_examples: 20152 download_size: 3857095 dataset_size: 3969944 configs: - config_name: default data_files: - split: train path: data/train-* ---

endomorphosis/LunarLake_Crash_MemDump

endomorphosis

"2024-12-25T23:57:33Z"

0

[ "license:apache-2.0", "region:us" ]

null

"2024-12-25T23:56:45Z"

--- license: apache-2.0 ---

BuiMinh/finalfinal

BuiMinh

"2024-12-26T00:07:55Z"

0

[ "region:us" ]

null

"2024-12-26T00:02:22Z"

--- dataset_info: features: - name: timestamp dtype: string - name: open dtype: float64 - name: high dtype: float64 - name: low dtype: float64 - name: close dtype: float64 - name: volume dtype: float64 - name: MA_20 dtype: float64 - name: MA_50 dtype: float64 - name: MA_200 dtype: float64 - name: RSI dtype: float64 - name: '%K' dtype: float64 - name: '%D' dtype: float64 - name: ADX dtype: float64 - name: ATR dtype: float64 - name: BB_Upper dtype: float64 - name: BB_Lower dtype: float64 - name: MACD dtype: float64 - name: Signal dtype: float64 - name: Histogram dtype: float64 - name: Trendline dtype: float64 - name: NW_Upper dtype: float64 - name: NW_Lower dtype: float64 splits: - name: train num_bytes: 2581685 num_examples: 13105 download_size: 2512825 dataset_size: 2581685 configs: - config_name: default data_files: - split: train path: data/train-* ---

Jean-Marie-METRO/Francais

Jean-Marie-METRO

"2024-12-26T00:17:31Z"

0

[ "license:bigscience-bloom-rail-1.0", "region:us" ]

null

"2024-12-26T00:17:31Z"

--- license: bigscience-bloom-rail-1.0 ---

BuiMinh/finalfinal2

BuiMinh

"2024-12-26T00:19:53Z"

0

[ "region:us" ]

null

"2024-12-26T00:19:09Z"

--- dataset_info: features: - name: timestamp dtype: string - name: open dtype: float64 - name: high dtype: float64 - name: low dtype: float64 - name: close dtype: float64 - name: volume dtype: float64 - name: MA_20 dtype: float64 - name: MA_50 dtype: float64 - name: MA_200 dtype: float64 - name: RSI dtype: float64 - name: '%K' dtype: float64 - name: '%D' dtype: float64 - name: ADX dtype: float64 - name: ATR dtype: float64 - name: BB_Upper dtype: float64 - name: BB_Lower dtype: float64 - name: MACD dtype: float64 - name: Signal dtype: float64 - name: Histogram dtype: float64 - name: Trendline dtype: float64 - name: NW_Upper dtype: float64 - name: NW_Lower dtype: float64 splits: - name: train num_bytes: 2509358 num_examples: 13138 download_size: 2521200 dataset_size: 2509358 configs: - config_name: default data_files: - split: train path: data/train-* ---

Asap7772/Math-steptok-mc-relabeled

Asap7772

"2024-12-26T00:38:26Z"

0

[ "region:us" ]

null

"2024-12-26T00:19:47Z"

--- dataset_info: features: - name: rollout_responses sequence: string - name: rollout_answers sequence: string - name: rollout_grades sequence: bool - name: rollout_mc_value dtype: float64 - name: responses dtype: string - name: answers dtype: string - name: grades dtype: bool - name: problem dtype: string - name: gt_answer dtype: string - name: solution dtype: string - name: answer dtype: string - name: subject dtype: string - name: level dtype: int64 - name: unique_id dtype: string - name: steps dtype: string - name: step_idx dtype: int64 splits: - name: train num_bytes: 49046876782 num_examples: 2607411 - name: test num_bytes: 2119863097 num_examples: 110431 download_size: 11351575514 dataset_size: 51166739879 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

ysenarath/wikipedia-20240901-dpr

ysenarath

"2024-12-26T00:57:27Z"

0

[ "region:us" ]

null

"2024-12-26T00:20:00Z"

--- dataset_info: features: - name: id dtype: string - name: url dtype: string - name: title dtype: string - name: text dtype: string - name: passage dtype: string splits: - name: train num_bytes: 44530490513 num_examples: 6874942 download_size: 25594678753 dataset_size: 44530490513 configs: - config_name: default data_files: - split: train path: data/train-* ---

ZhangShenao/MATH_filtered

ZhangShenao

"2024-12-26T00:20:15Z"

0

[ "region:us" ]

null

"2024-12-26T00:20:11Z"

--- dataset_info: features: - name: problem dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string splits: - name: train num_bytes: 5983176.0608 num_examples: 7498 download_size: 2992430 dataset_size: 5983176.0608 configs: - config_name: default data_files: - split: train path: data/train-* ---

BuiMinh/finalfinal3

BuiMinh

"2024-12-26T00:23:52Z"

0

[ "region:us" ]

null

"2024-12-26T00:23:31Z"

--- dataset_info: features: - name: timestamp dtype: string - name: open dtype: float64 - name: high dtype: float64 - name: low dtype: float64 - name: close dtype: float64 - name: volume dtype: float64 - name: MA_20 dtype: float64 - name: MA_50 dtype: float64 - name: MA_200 dtype: float64 - name: RSI dtype: float64 - name: '%K' dtype: float64 - name: '%D' dtype: float64 - name: ADX dtype: float64 - name: ATR dtype: float64 - name: BB_Upper dtype: float64 - name: BB_Lower dtype: float64 - name: MACD dtype: float64 - name: Signal dtype: float64 - name: Histogram dtype: float64 - name: Trendline dtype: float64 - name: NW_Upper dtype: float64 - name: NW_Lower dtype: float64 splits: - name: train num_bytes: 2510122 num_examples: 13142 download_size: 2521833 dataset_size: 2510122 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettavuw/D_gen5_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw

dgambettavuw

"2024-12-26T00:30:14Z"

0

[ "region:us" ]

null

"2024-12-26T00:30:10Z"

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 775561 num_examples: 1000 download_size: 408931 dataset_size: 775561 configs: - config_name: default data_files: - split: train path: data/train-* ---

yilu1015/hub-test

yilu1015

"2024-12-26T00:51:23Z"

0

[ "region:us" ]

null

"2024-12-26T00:50:25Z"

--- configs: - config_name: default data_files: - split: train path: "metadata.csv" ---

weaviate/kaggle-stroke-patients-with-description-embeddings

weaviate

"2024-12-26T00:51:02Z"

0

[ "license:apache-2.0", "region:us" ]

null

"2024-12-26T00:50:26Z"

--- license: apache-2.0 ---

lyl472324464/point_50000

lyl472324464

"2024-12-26T01:02:10Z"

0

[ "region:us" ]

null

"2024-12-26T00:54:30Z"

--- dataset_info: features: - name: image_url dtype: string - name: image_sha256 dtype: string - name: points list: - name: x dtype: float64 - name: y dtype: float64 - name: count dtype: int64 - name: label dtype: string - name: collection_method dtype: string - name: image_path dtype: string - name: image_data dtype: binary splits: - name: train num_bytes: 6783690831 num_examples: 25340 download_size: 2146664500 dataset_size: 6783690831 configs: - config_name: default data_files: - split: train path: data/train-* ---

dgambettavuw/D_gen6_run2_llama2-7b_sciabs_doc1000_real96_synt32_vuw

dgambettavuw

"2024-12-26T01:09:35Z"

0

[ "region:us" ]

null

"2024-12-26T01:09:32Z"

--- dataset_info: features: - name: id dtype: int64 - name: doc dtype: string splits: - name: train num_bytes: 765546 num_examples: 1000 download_size: 405638 dataset_size: 765546 configs: - config_name: default data_files: - split: train path: data/train-* ---

spiralworks/test_wildcard_ds

spiralworks

"2024-12-26T01:28:16Z"

0

[ "region:us" ]

null

"2024-12-26T01:09:48Z"

--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: authors sequence: string - name: abstract dtype: string - name: year dtype: string - name: venue dtype: string - name: keywords sequence: string - name: pdf_url dtype: string - name: forum_url dtype: string - name: forum_raw_text sequence: string - name: reviews_raw_text sequence: string - name: average_rating dtype: float64 - name: average_confidence dtype: float64 - name: reviews sequence: string splits: - name: train num_bytes: 274765139 num_examples: 7613 download_size: 136725026 dataset_size: 274765139 configs: - config_name: default data_files: - split: train path: data/train-* ---

gupta-tanish/Ultrafeedback-Mistral-Instruct

gupta-tanish

"2024-12-26T01:17:12Z"

0

[ "region:us" ]

null

"2024-12-26T01:16:04Z"

--- dataset_info: features: - name: prompt_id dtype: string - name: prompt dtype: string - name: id dtype: int64 - name: A0 list: - name: content dtype: string - name: role dtype: string - name: A1 list: - name: content dtype: string - name: role dtype: string - name: A2 list: - name: content dtype: string - name: role dtype: string - name: A3 list: - name: content dtype: string - name: role dtype: string - name: A4 list: - name: content dtype: string - name: role dtype: string - name: A5 list: - name: content dtype: string - name: role dtype: string - name: A6 list: - name: content dtype: string - name: role dtype: string - name: A7 list: - name: content dtype: string - name: role dtype: string - name: A8 list: - name: content dtype: string - name: role dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: score_A0 dtype: float64 - name: score_A1 dtype: float64 - name: score_A2 dtype: float64 - name: score_A3 dtype: float64 - name: score_A4 dtype: float64 - name: score_A5 dtype: float64 - name: score_A6 dtype: float64 - name: score_A7 dtype: float64 - name: score_A8 dtype: float64 splits: - name: train_prefs num_bytes: 1479450683 num_examples: 60931 - name: train_sft num_bytes: 1479450683 num_examples: 60931 - name: test_prefs num_bytes: 23828053 num_examples: 1000 - name: test_sft num_bytes: 11745582 num_examples: 500 - name: train_gen num_bytes: 1381249004 num_examples: 60931 - name: test_gen num_bytes: 10942625 num_examples: 500 download_size: 2372194996 dataset_size: 4386666630 configs: - config_name: default data_files: - split: train_prefs path: data/train_prefs-* - split: train_sft path: data/train_sft-* - split: test_prefs path: data/test_prefs-* - split: test_sft path: data/test_sft-* - split: train_gen path: data/train_gen-* - split: test_gen path: data/test_gen-* ---

NOERROR/PERFECT_SFT_SARDINIAN_DATASET

NOERROR

"2024-12-26T01:18:08Z"

0

[ "license:cc-by-nc-sa-4.0", "region:us" ]

null

"2024-12-26T01:18:08Z"

Invalid username or password.

NOERROR/PERFECT_SARDINIAN_SFT_DATASET

NOERROR

"2024-12-26T01:22:03Z"

0

[ "license:cc-by-nc-sa-4.0", "region:us" ]

null

"2024-12-26T01:19:10Z"

--- license: cc-by-nc-sa-4.0 ---

neonblurr/test

neonblurr

"2024-12-26T01:20:18Z"

0

[ "license:mit", "region:us" ]

null

"2024-12-26T01:20:17Z"

--- license: mit ---