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--- |
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pretty_name: Evaluation run of TinyLlama/TinyLlama-1.1B-Chat-v0.6 |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [TinyLlama/TinyLlama-1.1B-Chat-v0.6](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.6)\n\ |
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The dataset is composed of 38 configuration(s), each one corresponding to one of\ |
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\ the evaluated task.\n\nThe dataset has been created from 8 run(s). Each run can\ |
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\ be found as a specific split in each configuration, the split being named using\ |
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\ the timestamp of the run.The \"train\" split is always pointing to the latest\ |
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\ results.\n\nAn additional configuration \"results\" store all the aggregated results\ |
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\ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ |
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```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"SaylorTwift/TinyLlama__TinyLlama-1.1B-Chat-v0.6-details\"\ |
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,\n\tname=\"TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_boolean_expressions\"\ |
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,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ |
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\ from run 2024-11-01T16-36-01.611999](https://huggingface.co/datasets/SaylorTwift/TinyLlama__TinyLlama-1.1B-Chat-v0.6-details/blob/main/TinyLlama__TinyLlama-1.1B-Chat-v0.6/results_2024-11-01T16-36-01.611999.json)\ |
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\ (note that there might be results for other tasks in the repos if successive evals\ |
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\ didn't cover the same tasks. You find each in the results and the \"latest\" split\ |
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\ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ |
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\ \" \": \" \",\n \"alias\": \"leaderboard\"\n },\n\ |
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\ \"leaderboard_bbh\": {\n \" \": \" \",\n \"alias\"\ |
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: \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ |
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\ \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.16666666666666666\n\ |
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\ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ |
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: \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.6,\n\ |
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\ \"acc_norm_stderr,none\": 0.16329931618554522\n },\n \ |
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\ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ |
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,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.16329931618554522\n\ |
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\ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ |
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: \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.2,\n\ |
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\ \"acc_norm_stderr,none\": 0.13333333333333333\n },\n \ |
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\ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
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,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.1632993161855452\n\ |
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\ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\"\ |
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: \" - leaderboard_bbh_geometric_shapes\",\n \"acc_norm,none\": 0.6,\n\ |
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\ \"acc_norm_stderr,none\": 0.16329931618554522\n },\n \ |
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\ \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ |
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,\n \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.16666666666666666\n\ |
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\ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \ |
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\ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\",\n \ |
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\ \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\": 0.13333333333333333\n\ |
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\ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ |
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\ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n\ |
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\ \"acc_norm,none\": 0.0,\n \"acc_norm_stderr,none\": 0.0\n\ |
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\ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
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\ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ |
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\ \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.15275252316519466\n\ |
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\ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
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alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ |
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: 0.5,\n \"acc_norm_stderr,none\": 0.16666666666666666\n },\n\ |
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\ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ |
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,\n \"acc_norm,none\": 0.4,\n \"acc_norm_stderr,none\": 0.1632993161855452\n\ |
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\ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\"\ |
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: \" - leaderboard_bbh_object_counting\",\n \"acc_norm,none\": 0.0,\n\ |
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\ \"acc_norm_stderr,none\": 0.0\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \ |
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\ \"acc_norm,none\": 0.1,\n \"acc_norm_stderr,none\": 0.09999999999999999\n\ |
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\ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ |
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\ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ |
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\ \"acc_norm,none\": 0.1,\n \"acc_norm_stderr,none\": 0.09999999999999999\n\ |
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\ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ |
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\ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.2,\n \ |
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\ \"acc_norm_stderr,none\": 0.13333333333333333\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ |
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,\n \"acc_norm,none\": 0.1,\n \"acc_norm_stderr,none\": 0.09999999999999999\n\ |
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\ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" -\ |
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\ leaderboard_bbh_snarks\",\n \"acc_norm,none\": 0.6,\n \"\ |
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acc_norm_stderr,none\": 0.16329931618554522\n },\n \"leaderboard_bbh_sports_understanding\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ |
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\ \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.16666666666666666\n\ |
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\ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ |
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: \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.4,\n\ |
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\ \"acc_norm_stderr,none\": 0.16329931618554522\n },\n \ |
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\ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ |
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alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ |
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\ \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.15275252316519466\n\ |
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\ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
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,\n \"acc_norm,none\": 0.0,\n \"acc_norm_stderr,none\": 0.0\n\ |
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\ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
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,\n \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.15275252316519466\n\ |
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\ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ |
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\ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.2,\n \ |
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\ \"acc_norm_stderr,none\": 0.13333333333333333\n },\n \"\ |
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leaderboard_gpqa\": {\n \" \": \" \",\n \"alias\": \" - leaderboard_gpqa\"\ |
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\n },\n \"leaderboard_gpqa_diamond\": {\n \"alias\": \"\ |
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\ - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.1,\n \ |
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\ \"acc_norm_stderr,none\": 0.09999999999999999\n },\n \"leaderboard_gpqa_extended\"\ |
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: {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ |
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: 0.4,\n \"acc_norm_stderr,none\": 0.16329931618554522\n },\n\ |
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\ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
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,\n \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\": 0.13333333333333333\n\ |
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\ },\n \"leaderboard_ifeval\": {\n \"alias\": \" - leaderboard_ifeval\"\ |
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,\n \"prompt_level_strict_acc,none\": 0.1,\n \"prompt_level_strict_acc_stderr,none\"\ |
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: 0.09999999999999999,\n \"inst_level_strict_acc,none\": 0.1111111111111111,\n\ |
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\ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ |
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: 0.1,\n \"prompt_level_loose_acc_stderr,none\": 0.09999999999999999,\n\ |
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\ \"inst_level_loose_acc,none\": 0.1111111111111111,\n \"\ |
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inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ |
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: {\n \" \": \" \",\n \"alias\": \" - leaderboard_math_hard\"\ |
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\n },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ |
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: \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.0,\n\ |
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\ \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_counting_and_prob_hard\"\ |
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: {\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\",\n \ |
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\ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
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: 0.0\n },\n \"leaderboard_math_geometry_hard\": {\n \"\ |
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alias\": \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\"\ |
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: 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
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: {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n\ |
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\ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
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: 0.0\n },\n \"leaderboard_math_num_theory_hard\": {\n \ |
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\ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ |
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: 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_prealgebra_hard\"\ |
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: {\n \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \ |
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\ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ |
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\ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\"\ |
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: \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\":\ |
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\ 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_mmlu_pro\"\ |
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: {\n \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\"\ |
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: 0.0,\n \"acc_stderr,none\": 0.0\n },\n \"leaderboard_musr\"\ |
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: {\n \" \": \" \",\n \"alias\": \" - leaderboard_musr\"\n\ |
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\ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\"\ |
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: \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.5,\n\ |
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\ \"acc_norm_stderr,none\": 0.16666666666666666\n },\n \ |
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\ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ |
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,\n \"acc_norm,none\": 0.1,\n \"acc_norm_stderr,none\": 0.09999999999999999\n\ |
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\ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\"\ |
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: \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\": 0.2,\n\ |
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\ \"acc_norm_stderr,none\": 0.13333333333333333\n }\n },\n\ |
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\ \"leaderboard\": {\n \" \": \" \",\n \"alias\": \"leaderboard\"\ |
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\n },\n \"leaderboard_bbh\": {\n \" \": \" \",\n \"alias\":\ |
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\ \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ |
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\ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ |
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: 0.5,\n \"acc_norm_stderr,none\": 0.16666666666666666\n },\n \"leaderboard_bbh_causal_judgement\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\"\ |
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: 0.6,\n \"acc_norm_stderr,none\": 0.16329931618554522\n },\n \"leaderboard_bbh_date_understanding\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"\ |
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acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.16329931618554522\n \ |
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\ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ |
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,\n \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\": 0.13333333333333333\n\ |
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\ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
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,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.1632993161855452\n\ |
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\ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
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,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.16329931618554522\n\ |
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\ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ |
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,\n \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.16666666666666666\n\ |
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\ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ |
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: \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ |
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: 0.2,\n \"acc_norm_stderr,none\": 0.13333333333333333\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ |
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,\n \"acc_norm,none\": 0.0,\n \"acc_norm_stderr,none\": 0.0\n },\n\ |
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\ \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"alias\":\ |
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\ \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ |
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: 0.3,\n \"acc_norm_stderr,none\": 0.15275252316519466\n },\n \"leaderboard_bbh_movie_recommendation\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"\ |
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acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.16666666666666666\n \ |
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\ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ |
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,\n \"acc_norm,none\": 0.4,\n \"acc_norm_stderr,none\": 0.1632993161855452\n\ |
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\ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
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,\n \"acc_norm,none\": 0.0,\n \"acc_norm_stderr,none\": 0.0\n },\n\ |
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\ \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ |
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,\n \"acc_norm,none\": 0.1,\n \"acc_norm_stderr,none\": 0.09999999999999999\n\ |
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\ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
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alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n \"acc_norm,none\"\ |
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: 0.1,\n \"acc_norm_stderr,none\": 0.09999999999999999\n },\n \"leaderboard_bbh_ruin_names\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\"\ |
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: 0.2,\n \"acc_norm_stderr,none\": 0.13333333333333333\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ |
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,\n \"acc_norm,none\": 0.1,\n \"acc_norm_stderr,none\": 0.09999999999999999\n\ |
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\ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ |
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,\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.16329931618554522\n\ |
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\ },\n \"leaderboard_bbh_sports_understanding\": {\n \"alias\": \"\ |
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\ - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\": 0.5,\n\ |
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\ \"acc_norm_stderr,none\": 0.16666666666666666\n },\n \"leaderboard_bbh_temporal_sequences\"\ |
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: {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\",\n \"\ |
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acc_norm,none\": 0.4,\n \"acc_norm_stderr,none\": 0.16329931618554522\n \ |
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\ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
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\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n\ |
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\ \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.15275252316519466\n\ |
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\ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
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\ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
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,\n \"acc_norm,none\": 0.0,\n \"acc_norm_stderr,none\": 0.0\n },\n\ |
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\ \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \"\ |
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alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\",\n \ |
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\ \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.15275252316519466\n\ |
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\ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ |
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,\n \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\": 0.13333333333333333\n\ |
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\ },\n \"leaderboard_gpqa\": {\n \" \": \" \",\n \"alias\":\ |
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\ \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \ |
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\ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.1,\n\ |
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\ \"acc_norm_stderr,none\": 0.09999999999999999\n },\n \"leaderboard_gpqa_extended\"\ |
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: {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ |
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: 0.4,\n \"acc_norm_stderr,none\": 0.16329931618554522\n },\n \"leaderboard_gpqa_main\"\ |
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: {\n \"alias\": \" - leaderboard_gpqa_main\",\n \"acc_norm,none\"\ |
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: 0.2,\n \"acc_norm_stderr,none\": 0.13333333333333333\n },\n \"leaderboard_ifeval\"\ |
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: {\n \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ |
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: 0.1,\n \"prompt_level_strict_acc_stderr,none\": 0.09999999999999999,\n\ |
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\ \"inst_level_strict_acc,none\": 0.1111111111111111,\n \"inst_level_strict_acc_stderr,none\"\ |
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: \"N/A\",\n \"prompt_level_loose_acc,none\": 0.1,\n \"prompt_level_loose_acc_stderr,none\"\ |
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: 0.09999999999999999,\n \"inst_level_loose_acc,none\": 0.1111111111111111,\n\ |
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\ \"inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ |
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: {\n \" \": \" \",\n \"alias\": \" - leaderboard_math_hard\"\n \ |
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\ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\": \" - leaderboard_math_algebra_hard\"\ |
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,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ |
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\ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ |
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\ \" - 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\"\ |
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: {\n \"alias\": \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\"\ |
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: 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
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: {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ |
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\ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n \ |
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\ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ |
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,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ |
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\ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
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,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ |
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\ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" -\ |
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\ leaderboard_math_precalculus_hard\",\n \"exact_match,none\": 0.0,\n \ |
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\ \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_mmlu_pro\": {\n\ |
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\ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.0,\n \ |
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\ \"acc_stderr,none\": 0.0\n },\n \"leaderboard_musr\": {\n \"\ |
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\ \": \" \",\n \"alias\": \" - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\"\ |
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: {\n \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ |
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: 0.5,\n \"acc_norm_stderr,none\": 0.16666666666666666\n },\n \"leaderboard_musr_object_placements\"\ |
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: {\n \"alias\": \" - leaderboard_musr_object_placements\",\n \"\ |
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acc_norm,none\": 0.1,\n \"acc_norm_stderr,none\": 0.09999999999999999\n \ |
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\ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
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,\n \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\": 0.13333333333333333\n\ |
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\ }\n}\n```" |
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repo_url: https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.6 |
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leaderboard_url: '' |
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point_of_contact: '' |
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configs: |
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- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_boolean_expressions |
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data_files: |
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- split: 2024_11_01T16_36_01.611999 |
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path: |
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- '**/samples_leaderboard_bbh_boolean_expressions_2024-11-01T16-36-01.611999.jsonl' |
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- split: latest |
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path: |
|
- '**/samples_leaderboard_bbh_boolean_expressions_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_causal_judgement |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_causal_judgement_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_causal_judgement_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_date_understanding |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_date_understanding_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_date_understanding_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_disambiguation_qa |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_formal_fallacies |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_formal_fallacies_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_formal_fallacies_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_geometric_shapes |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_geometric_shapes_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_geometric_shapes_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_hyperbaton |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_hyperbaton_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_hyperbaton_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_logical_deduction_five_objects |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_logical_deduction_seven_objects |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_logical_deduction_three_objects |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_movie_recommendation |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_movie_recommendation_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_movie_recommendation_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_navigate |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_navigate_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_navigate_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_object_counting |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_object_counting_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_object_counting_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_penguins_in_a_table |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_reasoning_about_colored_objects |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_ruin_names |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_ruin_names_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_ruin_names_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_salient_translation_error_detection |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_snarks |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_snarks_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_snarks_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_sports_understanding |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_sports_understanding_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_sports_understanding_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_temporal_sequences |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_temporal_sequences_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_temporal_sequences_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_tracking_shuffled_objects_five_objects |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_tracking_shuffled_objects_three_objects |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_web_of_lies |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_bbh_web_of_lies_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_bbh_web_of_lies_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_gpqa_diamond |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_gpqa_diamond_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_diamond_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_gpqa_extended |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_gpqa_extended_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_extended_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_gpqa_main |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_gpqa_main_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_gpqa_main_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_ifeval |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_ifeval_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_ifeval_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_math_algebra_hard |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_math_algebra_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_algebra_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_math_counting_and_prob_hard |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_math_geometry_hard |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_math_geometry_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_geometry_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_math_intermediate_algebra_hard |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_math_num_theory_hard |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_math_num_theory_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_num_theory_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_math_prealgebra_hard |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_math_prealgebra_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_prealgebra_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_math_precalculus_hard |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_math_precalculus_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_math_precalculus_hard_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_mmlu_pro |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_mmlu_pro_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_mmlu_pro_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_musr_murder_mysteries |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_musr_murder_mysteries_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_murder_mysteries_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_musr_object_placements |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_musr_object_placements_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_object_placements_2024-11-01T16-36-01.611999.jsonl' |
|
- config_name: TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_musr_team_allocation |
|
data_files: |
|
- split: 2024_11_01T16_36_01.611999 |
|
path: |
|
- '**/samples_leaderboard_musr_team_allocation_2024-11-01T16-36-01.611999.jsonl' |
|
- split: latest |
|
path: |
|
- '**/samples_leaderboard_musr_team_allocation_2024-11-01T16-36-01.611999.jsonl' |
|
--- |
|
|
|
# Dataset Card for Evaluation run of TinyLlama/TinyLlama-1.1B-Chat-v0.6 |
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
Dataset automatically created during the evaluation run of model [TinyLlama/TinyLlama-1.1B-Chat-v0.6](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.6) |
|
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. |
|
|
|
The dataset has been created from 8 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( |
|
"SaylorTwift/TinyLlama__TinyLlama-1.1B-Chat-v0.6-details", |
|
name="TinyLlama__TinyLlama-1.1B-Chat-v0.6__leaderboard_bbh_boolean_expressions", |
|
split="latest" |
|
) |
|
``` |
|
|
|
## Latest results |
|
|
|
These are the [latest results from run 2024-11-01T16-36-01.611999](https://huggingface.co/datasets/SaylorTwift/TinyLlama__TinyLlama-1.1B-Chat-v0.6-details/blob/main/TinyLlama__TinyLlama-1.1B-Chat-v0.6/results_2024-11-01T16-36-01.611999.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": { |
|
" ": " ", |
|
"alias": "leaderboard" |
|
}, |
|
"leaderboard_bbh": { |
|
" ": " ", |
|
"alias": " - leaderboard_bbh" |
|
}, |
|
"leaderboard_bbh_boolean_expressions": { |
|
"alias": " - leaderboard_bbh_boolean_expressions", |
|
"acc_norm,none": 0.5, |
|
"acc_norm_stderr,none": 0.16666666666666666 |
|
}, |
|
"leaderboard_bbh_causal_judgement": { |
|
"alias": " - leaderboard_bbh_causal_judgement", |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_bbh_date_understanding": { |
|
"alias": " - leaderboard_bbh_date_understanding", |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_bbh_disambiguation_qa": { |
|
"alias": " - leaderboard_bbh_disambiguation_qa", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
}, |
|
"leaderboard_bbh_formal_fallacies": { |
|
"alias": " - leaderboard_bbh_formal_fallacies", |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.1632993161855452 |
|
}, |
|
"leaderboard_bbh_geometric_shapes": { |
|
"alias": " - leaderboard_bbh_geometric_shapes", |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_bbh_hyperbaton": { |
|
"alias": " - leaderboard_bbh_hyperbaton", |
|
"acc_norm,none": 0.5, |
|
"acc_norm_stderr,none": 0.16666666666666666 |
|
}, |
|
"leaderboard_bbh_logical_deduction_five_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_five_objects", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
}, |
|
"leaderboard_bbh_logical_deduction_seven_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
|
"acc_norm,none": 0.0, |
|
"acc_norm_stderr,none": 0.0 |
|
}, |
|
"leaderboard_bbh_logical_deduction_three_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_three_objects", |
|
"acc_norm,none": 0.3, |
|
"acc_norm_stderr,none": 0.15275252316519466 |
|
}, |
|
"leaderboard_bbh_movie_recommendation": { |
|
"alias": " - leaderboard_bbh_movie_recommendation", |
|
"acc_norm,none": 0.5, |
|
"acc_norm_stderr,none": 0.16666666666666666 |
|
}, |
|
"leaderboard_bbh_navigate": { |
|
"alias": " - leaderboard_bbh_navigate", |
|
"acc_norm,none": 0.4, |
|
"acc_norm_stderr,none": 0.1632993161855452 |
|
}, |
|
"leaderboard_bbh_object_counting": { |
|
"alias": " - leaderboard_bbh_object_counting", |
|
"acc_norm,none": 0.0, |
|
"acc_norm_stderr,none": 0.0 |
|
}, |
|
"leaderboard_bbh_penguins_in_a_table": { |
|
"alias": " - leaderboard_bbh_penguins_in_a_table", |
|
"acc_norm,none": 0.1, |
|
"acc_norm_stderr,none": 0.09999999999999999 |
|
}, |
|
"leaderboard_bbh_reasoning_about_colored_objects": { |
|
"alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
|
"acc_norm,none": 0.1, |
|
"acc_norm_stderr,none": 0.09999999999999999 |
|
}, |
|
"leaderboard_bbh_ruin_names": { |
|
"alias": " - leaderboard_bbh_ruin_names", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
}, |
|
"leaderboard_bbh_salient_translation_error_detection": { |
|
"alias": " - leaderboard_bbh_salient_translation_error_detection", |
|
"acc_norm,none": 0.1, |
|
"acc_norm_stderr,none": 0.09999999999999999 |
|
}, |
|
"leaderboard_bbh_snarks": { |
|
"alias": " - leaderboard_bbh_snarks", |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_bbh_sports_understanding": { |
|
"alias": " - leaderboard_bbh_sports_understanding", |
|
"acc_norm,none": 0.5, |
|
"acc_norm_stderr,none": 0.16666666666666666 |
|
}, |
|
"leaderboard_bbh_temporal_sequences": { |
|
"alias": " - leaderboard_bbh_temporal_sequences", |
|
"acc_norm,none": 0.4, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
|
"acc_norm,none": 0.3, |
|
"acc_norm_stderr,none": 0.15275252316519466 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
|
"acc_norm,none": 0.0, |
|
"acc_norm_stderr,none": 0.0 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
|
"acc_norm,none": 0.3, |
|
"acc_norm_stderr,none": 0.15275252316519466 |
|
}, |
|
"leaderboard_bbh_web_of_lies": { |
|
"alias": " - leaderboard_bbh_web_of_lies", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
}, |
|
"leaderboard_gpqa": { |
|
" ": " ", |
|
"alias": " - leaderboard_gpqa" |
|
}, |
|
"leaderboard_gpqa_diamond": { |
|
"alias": " - leaderboard_gpqa_diamond", |
|
"acc_norm,none": 0.1, |
|
"acc_norm_stderr,none": 0.09999999999999999 |
|
}, |
|
"leaderboard_gpqa_extended": { |
|
"alias": " - leaderboard_gpqa_extended", |
|
"acc_norm,none": 0.4, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_gpqa_main": { |
|
"alias": " - leaderboard_gpqa_main", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
}, |
|
"leaderboard_ifeval": { |
|
"alias": " - leaderboard_ifeval", |
|
"prompt_level_strict_acc,none": 0.1, |
|
"prompt_level_strict_acc_stderr,none": 0.09999999999999999, |
|
"inst_level_strict_acc,none": 0.1111111111111111, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.1, |
|
"prompt_level_loose_acc_stderr,none": 0.09999999999999999, |
|
"inst_level_loose_acc,none": 0.1111111111111111, |
|
"inst_level_loose_acc_stderr,none": "N/A" |
|
}, |
|
"leaderboard_math_hard": { |
|
" ": " ", |
|
"alias": " - leaderboard_math_hard" |
|
}, |
|
"leaderboard_math_algebra_hard": { |
|
"alias": " - leaderboard_math_algebra_hard", |
|
"exact_match,none": 0.0, |
|
"exact_match_stderr,none": 0.0 |
|
}, |
|
"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": 0.0, |
|
"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": 0.0, |
|
"exact_match_stderr,none": 0.0 |
|
}, |
|
"leaderboard_math_prealgebra_hard": { |
|
"alias": " - leaderboard_math_prealgebra_hard", |
|
"exact_match,none": 0.0, |
|
"exact_match_stderr,none": 0.0 |
|
}, |
|
"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": 0.0, |
|
"acc_stderr,none": 0.0 |
|
}, |
|
"leaderboard_musr": { |
|
" ": " ", |
|
"alias": " - leaderboard_musr" |
|
}, |
|
"leaderboard_musr_murder_mysteries": { |
|
"alias": " - leaderboard_musr_murder_mysteries", |
|
"acc_norm,none": 0.5, |
|
"acc_norm_stderr,none": 0.16666666666666666 |
|
}, |
|
"leaderboard_musr_object_placements": { |
|
"alias": " - leaderboard_musr_object_placements", |
|
"acc_norm,none": 0.1, |
|
"acc_norm_stderr,none": 0.09999999999999999 |
|
}, |
|
"leaderboard_musr_team_allocation": { |
|
"alias": " - leaderboard_musr_team_allocation", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
} |
|
}, |
|
"leaderboard": { |
|
" ": " ", |
|
"alias": "leaderboard" |
|
}, |
|
"leaderboard_bbh": { |
|
" ": " ", |
|
"alias": " - leaderboard_bbh" |
|
}, |
|
"leaderboard_bbh_boolean_expressions": { |
|
"alias": " - leaderboard_bbh_boolean_expressions", |
|
"acc_norm,none": 0.5, |
|
"acc_norm_stderr,none": 0.16666666666666666 |
|
}, |
|
"leaderboard_bbh_causal_judgement": { |
|
"alias": " - leaderboard_bbh_causal_judgement", |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_bbh_date_understanding": { |
|
"alias": " - leaderboard_bbh_date_understanding", |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_bbh_disambiguation_qa": { |
|
"alias": " - leaderboard_bbh_disambiguation_qa", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
}, |
|
"leaderboard_bbh_formal_fallacies": { |
|
"alias": " - leaderboard_bbh_formal_fallacies", |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.1632993161855452 |
|
}, |
|
"leaderboard_bbh_geometric_shapes": { |
|
"alias": " - leaderboard_bbh_geometric_shapes", |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_bbh_hyperbaton": { |
|
"alias": " - leaderboard_bbh_hyperbaton", |
|
"acc_norm,none": 0.5, |
|
"acc_norm_stderr,none": 0.16666666666666666 |
|
}, |
|
"leaderboard_bbh_logical_deduction_five_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_five_objects", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
}, |
|
"leaderboard_bbh_logical_deduction_seven_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
|
"acc_norm,none": 0.0, |
|
"acc_norm_stderr,none": 0.0 |
|
}, |
|
"leaderboard_bbh_logical_deduction_three_objects": { |
|
"alias": " - leaderboard_bbh_logical_deduction_three_objects", |
|
"acc_norm,none": 0.3, |
|
"acc_norm_stderr,none": 0.15275252316519466 |
|
}, |
|
"leaderboard_bbh_movie_recommendation": { |
|
"alias": " - leaderboard_bbh_movie_recommendation", |
|
"acc_norm,none": 0.5, |
|
"acc_norm_stderr,none": 0.16666666666666666 |
|
}, |
|
"leaderboard_bbh_navigate": { |
|
"alias": " - leaderboard_bbh_navigate", |
|
"acc_norm,none": 0.4, |
|
"acc_norm_stderr,none": 0.1632993161855452 |
|
}, |
|
"leaderboard_bbh_object_counting": { |
|
"alias": " - leaderboard_bbh_object_counting", |
|
"acc_norm,none": 0.0, |
|
"acc_norm_stderr,none": 0.0 |
|
}, |
|
"leaderboard_bbh_penguins_in_a_table": { |
|
"alias": " - leaderboard_bbh_penguins_in_a_table", |
|
"acc_norm,none": 0.1, |
|
"acc_norm_stderr,none": 0.09999999999999999 |
|
}, |
|
"leaderboard_bbh_reasoning_about_colored_objects": { |
|
"alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
|
"acc_norm,none": 0.1, |
|
"acc_norm_stderr,none": 0.09999999999999999 |
|
}, |
|
"leaderboard_bbh_ruin_names": { |
|
"alias": " - leaderboard_bbh_ruin_names", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
}, |
|
"leaderboard_bbh_salient_translation_error_detection": { |
|
"alias": " - leaderboard_bbh_salient_translation_error_detection", |
|
"acc_norm,none": 0.1, |
|
"acc_norm_stderr,none": 0.09999999999999999 |
|
}, |
|
"leaderboard_bbh_snarks": { |
|
"alias": " - leaderboard_bbh_snarks", |
|
"acc_norm,none": 0.6, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_bbh_sports_understanding": { |
|
"alias": " - leaderboard_bbh_sports_understanding", |
|
"acc_norm,none": 0.5, |
|
"acc_norm_stderr,none": 0.16666666666666666 |
|
}, |
|
"leaderboard_bbh_temporal_sequences": { |
|
"alias": " - leaderboard_bbh_temporal_sequences", |
|
"acc_norm,none": 0.4, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
|
"acc_norm,none": 0.3, |
|
"acc_norm_stderr,none": 0.15275252316519466 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
|
"acc_norm,none": 0.0, |
|
"acc_norm_stderr,none": 0.0 |
|
}, |
|
"leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
|
"alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
|
"acc_norm,none": 0.3, |
|
"acc_norm_stderr,none": 0.15275252316519466 |
|
}, |
|
"leaderboard_bbh_web_of_lies": { |
|
"alias": " - leaderboard_bbh_web_of_lies", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
}, |
|
"leaderboard_gpqa": { |
|
" ": " ", |
|
"alias": " - leaderboard_gpqa" |
|
}, |
|
"leaderboard_gpqa_diamond": { |
|
"alias": " - leaderboard_gpqa_diamond", |
|
"acc_norm,none": 0.1, |
|
"acc_norm_stderr,none": 0.09999999999999999 |
|
}, |
|
"leaderboard_gpqa_extended": { |
|
"alias": " - leaderboard_gpqa_extended", |
|
"acc_norm,none": 0.4, |
|
"acc_norm_stderr,none": 0.16329931618554522 |
|
}, |
|
"leaderboard_gpqa_main": { |
|
"alias": " - leaderboard_gpqa_main", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
}, |
|
"leaderboard_ifeval": { |
|
"alias": " - leaderboard_ifeval", |
|
"prompt_level_strict_acc,none": 0.1, |
|
"prompt_level_strict_acc_stderr,none": 0.09999999999999999, |
|
"inst_level_strict_acc,none": 0.1111111111111111, |
|
"inst_level_strict_acc_stderr,none": "N/A", |
|
"prompt_level_loose_acc,none": 0.1, |
|
"prompt_level_loose_acc_stderr,none": 0.09999999999999999, |
|
"inst_level_loose_acc,none": 0.1111111111111111, |
|
"inst_level_loose_acc_stderr,none": "N/A" |
|
}, |
|
"leaderboard_math_hard": { |
|
" ": " ", |
|
"alias": " - leaderboard_math_hard" |
|
}, |
|
"leaderboard_math_algebra_hard": { |
|
"alias": " - leaderboard_math_algebra_hard", |
|
"exact_match,none": 0.0, |
|
"exact_match_stderr,none": 0.0 |
|
}, |
|
"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": 0.0, |
|
"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": 0.0, |
|
"exact_match_stderr,none": 0.0 |
|
}, |
|
"leaderboard_math_prealgebra_hard": { |
|
"alias": " - leaderboard_math_prealgebra_hard", |
|
"exact_match,none": 0.0, |
|
"exact_match_stderr,none": 0.0 |
|
}, |
|
"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": 0.0, |
|
"acc_stderr,none": 0.0 |
|
}, |
|
"leaderboard_musr": { |
|
" ": " ", |
|
"alias": " - leaderboard_musr" |
|
}, |
|
"leaderboard_musr_murder_mysteries": { |
|
"alias": " - leaderboard_musr_murder_mysteries", |
|
"acc_norm,none": 0.5, |
|
"acc_norm_stderr,none": 0.16666666666666666 |
|
}, |
|
"leaderboard_musr_object_placements": { |
|
"alias": " - leaderboard_musr_object_placements", |
|
"acc_norm,none": 0.1, |
|
"acc_norm_stderr,none": 0.09999999999999999 |
|
}, |
|
"leaderboard_musr_team_allocation": { |
|
"alias": " - leaderboard_musr_team_allocation", |
|
"acc_norm,none": 0.2, |
|
"acc_norm_stderr,none": 0.13333333333333333 |
|
} |
|
} |
|
``` |
|
|
|
## 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 |
|
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<!-- 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. --> |
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[More Information Needed] |
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#### Who are the annotators? |
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<!-- This section describes the people or systems who created the annotations. --> |
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[More Information Needed] |
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#### Personal and Sensitive Information |
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<!-- 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. --> |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Dataset Card Authors [optional] |
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[More Information Needed] |
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## Dataset Card Contact |
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[More Information Needed] |
