| --- |
| pretty_name: Evaluation run of Qwen/Qwen2.5-7B-Instruct |
| dataset_summary: "Dataset automatically created during the evaluation run of model\ |
| \ [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)\n\ |
| The dataset is composed of 38 configuration(s), each one corresponding to one of\ |
| \ the evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can\ |
| \ be found as a specific split in each configuration, the split being named using\ |
| \ the timestamp of the run.The \"train\" split is always pointing to the latest\ |
| \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ |
| \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ |
| ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/Qwen__Qwen2.5-7B-Instruct-details\"\ |
| ,\n\tname=\"Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_boolean_expressions\",\n\t\ |
| split=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results from\ |
| \ run 2024-09-19T16-21-01.446061](https://huggingface.co/datasets/open-llm-leaderboard/Qwen__Qwen2.5-7B-Instruct-details/blob/main/Qwen__Qwen2.5-7B-Instruct/results_2024-09-19T16-21-01.446061.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\": 0.8141486810551559,\n \"\ |
| inst_level_loose_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ |
| : 0.7208872458410351,\n \"prompt_level_strict_acc_stderr,none\": 0.019303080958497275,\n\ |
| \ \"acc_norm,none\": 0.48553638604228827,\n \"acc_norm_stderr,none\"\ |
| : 0.005320814599682206,\n \"exact_match,none\": 0.0,\n \"\ |
| exact_match_stderr,none\": 0.0,\n \"prompt_level_loose_acc,none\": 0.7430683918669131,\n\ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01880296257563689,\n \ |
| \ \"acc,none\": 0.4286901595744681,\n \"acc_stderr,none\": 0.00451187174824774,\n\ |
| \ \"inst_level_strict_acc,none\": 0.7961630695443646,\n \"\ |
| inst_level_strict_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ |
| \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.5368859572990801,\n\ |
| \ \"acc_norm_stderr,none\": 0.006169996878504731,\n \"alias\"\ |
| : \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
| : {\n \"acc_norm,none\": 0.844,\n \"acc_norm_stderr,none\"\ |
| : 0.022995023034068682,\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ |
| \n },\n \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\"\ |
| : 0.5294117647058824,\n \"acc_norm_stderr,none\": 0.03659829510813266,\n\ |
| \ \"alias\": \" - leaderboard_bbh_causal_judgement\"\n },\n \ |
| \ \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ |
| : 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136,\n \ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"\ |
| leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\": 0.628,\n\ |
| \ \"acc_norm_stderr,none\": 0.03063032594455827,\n \"alias\"\ |
| : \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
| : {\n \"acc_norm,none\": 0.596,\n \"acc_norm_stderr,none\"\ |
| : 0.03109668818482536,\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
| \n },\n \"leaderboard_bbh_geometric_shapes\": {\n \"acc_norm,none\"\ |
| : 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743,\n \ |
| \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"\ |
| leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\": 0.52,\n \ |
| \ \"acc_norm_stderr,none\": 0.03166085340849512,\n \"alias\": \" \ |
| \ - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.504,\n \"acc_norm_stderr,none\"\ |
| : 0.0316851985511992,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
| \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.472,\n \"acc_norm_stderr,none\": 0.031636489531544396,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
| acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941,\n\ |
| \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ |
| \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.692,\n\ |
| \ \"acc_norm_stderr,none\": 0.02925692860650181,\n \"alias\"\ |
| : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\"\ |
| : 0.030020073605457873,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
| \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
| acc_norm,none\": 0.5616438356164384,\n \"acc_norm_stderr,none\": 0.04120596186613957,\n\ |
| \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ |
| \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359866,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ |
| : 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941,\n \ |
| \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\"\ |
| : 0.031563285061213475,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ |
| \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ |
| : 0.7191011235955056,\n \"acc_norm_stderr,none\": 0.03378184395518332,\n\ |
| \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\"\ |
| : 0.02806876238252672,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ |
| \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ |
| acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475,\n\ |
| \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ |
| \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"acc_norm,none\": 0.16,\n \"acc_norm_stderr,none\": 0.023232714782060626,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| : {\n \"acc_norm,none\": 0.132,\n \"acc_norm_stderr,none\"\ |
| : 0.021450980824038166,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\"\ |
| : 0.027065293652238982,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ |
| : 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136,\n \ |
| \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ |
| : {\n \"acc_norm,none\": 0.2911073825503356,\n \"acc_norm_stderr,none\"\ |
| : 0.013172701680874218,\n \"alias\": \" - leaderboard_gpqa\"\n \ |
| \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.29292929292929293,\n\ |
| \ \"acc_norm_stderr,none\": 0.032424979581788145,\n \"alias\"\ |
| : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ |
| : {\n \"acc_norm,none\": 0.2838827838827839,\n \"acc_norm_stderr,none\"\ |
| : 0.01931360450766325,\n \"alias\": \" - leaderboard_gpqa_extended\"\ |
| \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ |
| : 0.29910714285714285,\n \"acc_norm_stderr,none\": 0.021656359273377022,\n\ |
| \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ |
| : {\n \"prompt_level_strict_acc,none\": 0.7208872458410351,\n \ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.019303080958497275,\n \ |
| \ \"inst_level_strict_acc,none\": 0.7961630695443646,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7430683918669131,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01880296257563689,\n \ |
| \ \"inst_level_loose_acc,none\": 0.8141486810551559,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ |
| \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.0,\n \ |
| \ \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_hard\"\ |
| \n },\n \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ |
| \ - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\n\ |
| \ },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ |
| \ - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ |
| \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ |
| \ - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\n \ |
| \ },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ |
| \ - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ |
| : {\n \"acc,none\": 0.4286901595744681,\n \"acc_stderr,none\"\ |
| : 0.00451187174824774,\n \"alias\": \" - leaderboard_mmlu_pro\"\n \ |
| \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4007936507936508,\n\ |
| \ \"acc_norm_stderr,none\": 0.01737133070489318,\n \"alias\"\ |
| : \" - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\"\ |
| : {\n \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\"\ |
| : 0.03167708558254714,\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ |
| \n },\n \"leaderboard_musr_object_placements\": {\n \"\ |
| acc_norm,none\": 0.24609375,\n \"acc_norm_stderr,none\": 0.026973597563786113,\n\ |
| \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n\ |
| \ \"leaderboard_musr_team_allocation\": {\n \"acc_norm,none\"\ |
| : 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349,\n \ |
| \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n },\n \ |
| \ \"leaderboard\": {\n \"inst_level_loose_acc,none\": 0.8141486810551559,\n\ |
| \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ |
| : 0.7208872458410351,\n \"prompt_level_strict_acc_stderr,none\": 0.019303080958497275,\n\ |
| \ \"acc_norm,none\": 0.48553638604228827,\n \"acc_norm_stderr,none\"\ |
| : 0.005320814599682206,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0,\n \"prompt_level_loose_acc,none\": 0.7430683918669131,\n \"\ |
| prompt_level_loose_acc_stderr,none\": 0.01880296257563689,\n \"acc,none\"\ |
| : 0.4286901595744681,\n \"acc_stderr,none\": 0.00451187174824774,\n \ |
| \ \"inst_level_strict_acc,none\": 0.7961630695443646,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ |
| : {\n \"acc_norm,none\": 0.5368859572990801,\n \"acc_norm_stderr,none\"\ |
| : 0.006169996878504731,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ |
| \ \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\": 0.844,\n\ |
| \ \"acc_norm_stderr,none\": 0.022995023034068682,\n \"alias\": \"\ |
| \ - leaderboard_bbh_boolean_expressions\"\n },\n \"leaderboard_bbh_causal_judgement\"\ |
| : {\n \"acc_norm,none\": 0.5294117647058824,\n \"acc_norm_stderr,none\"\ |
| : 0.03659829510813266,\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ |
| \n },\n \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ |
| : 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136,\n \"alias\"\ |
| : \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
| : {\n \"acc_norm,none\": 0.628,\n \"acc_norm_stderr,none\": 0.03063032594455827,\n\ |
| \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
| : {\n \"acc_norm,none\": 0.596,\n \"acc_norm_stderr,none\": 0.03109668818482536,\n\ |
| \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
| : {\n \"acc_norm,none\": 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743,\n\ |
| \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ |
| : {\n \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512,\n\ |
| \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.504,\n \"acc_norm_stderr,none\": 0.0316851985511992,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ |
| \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ |
| : 0.472,\n \"acc_norm_stderr,none\": 0.031636489531544396,\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ |
| : 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941,\n \"alias\"\ |
| : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ |
| : {\n \"acc_norm,none\": 0.692,\n \"acc_norm_stderr,none\": 0.02925692860650181,\n\ |
| \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873,\n\ |
| \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ |
| : {\n \"acc_norm,none\": 0.5616438356164384,\n \"acc_norm_stderr,none\"\ |
| : 0.04120596186613957,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ |
| \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359866,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.568,\n\ |
| \ \"acc_norm_stderr,none\": 0.03139181076542941,\n \"alias\": \" \ |
| \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\": 0.031563285061213475,\n\ |
| \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ |
| \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.7191011235955056,\n\ |
| \ \"acc_norm_stderr,none\": 0.03378184395518332,\n \"alias\": \" \ |
| \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672,\n\ |
| \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ |
| leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.544,\n \ |
| \ \"acc_norm_stderr,none\": 0.031563285061213475,\n \"alias\": \" -\ |
| \ leaderboard_bbh_temporal_sequences\"\n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.16,\n \"acc_norm_stderr,none\": 0.023232714782060626,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.132,\n \"acc_norm_stderr,none\": 0.021450980824038166,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652238982,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.564,\n\ |
| \ \"acc_norm_stderr,none\": 0.03142556706028136,\n \"alias\": \" \ |
| \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ |
| \ \"acc_norm,none\": 0.2911073825503356,\n \"acc_norm_stderr,none\": 0.013172701680874218,\n\ |
| \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ |
| : {\n \"acc_norm,none\": 0.29292929292929293,\n \"acc_norm_stderr,none\"\ |
| : 0.032424979581788145,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ |
| \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.2838827838827839,\n\ |
| \ \"acc_norm_stderr,none\": 0.01931360450766325,\n \"alias\": \" \ |
| \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ |
| \ \"acc_norm,none\": 0.29910714285714285,\n \"acc_norm_stderr,none\":\ |
| \ 0.021656359273377022,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ |
| \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.7208872458410351,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.019303080958497275,\n \ |
| \ \"inst_level_strict_acc,none\": 0.7961630695443646,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7430683918669131,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01880296257563689,\n \"inst_level_loose_acc,none\"\ |
| : 0.8141486810551559,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ |
| \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ |
| \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ |
| \ \"alias\": \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ |
| \ \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\n },\n \ |
| \ \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\": 0.0,\n \ |
| \ \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_geometry_hard\"\ |
| \n },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ |
| \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ |
| \n },\n \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
| \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_precalculus_hard\"\ |
| \n },\n \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.4286901595744681,\n\ |
| \ \"acc_stderr,none\": 0.00451187174824774,\n \"alias\": \" - leaderboard_mmlu_pro\"\ |
| \n },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.4007936507936508,\n\ |
| \ \"acc_norm_stderr,none\": 0.01737133070489318,\n \"alias\": \" -\ |
| \ leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ |
| \ \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254714,\n\ |
| \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ |
| : {\n \"acc_norm,none\": 0.24609375,\n \"acc_norm_stderr,none\": 0.026973597563786113,\n\ |
| \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115349,\n\ |
| \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" |
| repo_url: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct |
| leaderboard_url: '' |
| point_of_contact: '' |
| configs: |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_boolean_expressions |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_causal_judgement |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_date_understanding |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_disambiguation_qa |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_formal_fallacies |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_geometric_shapes |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_hyperbaton |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_logical_deduction_five_objects |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_logical_deduction_seven_objects |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_logical_deduction_three_objects |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_movie_recommendation |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_navigate |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_object_counting |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_penguins_in_a_table |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_reasoning_about_colored_objects |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_ruin_names |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_salient_translation_error_detection |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_snarks |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_sports_understanding |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_temporal_sequences |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_tracking_shuffled_objects_five_objects |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_tracking_shuffled_objects_three_objects |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_web_of_lies |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_gpqa_diamond |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_gpqa_extended |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_gpqa_main |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_ifeval |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_ifeval_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_ifeval_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_math_algebra_hard |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_math_counting_and_prob_hard |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_math_geometry_hard |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_math_intermediate_algebra_hard |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_math_num_theory_hard |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_math_prealgebra_hard |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_math_precalculus_hard |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_mmlu_pro |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_musr_murder_mysteries |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_musr_object_placements |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-09-19T16-21-01.446061.jsonl' |
| - config_name: Qwen__Qwen2.5-7B-Instruct__leaderboard_musr_team_allocation |
| data_files: |
| - split: 2024_09_19T16_21_01.446061 |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-09-19T16-21-01.446061.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-09-19T16-21-01.446061.jsonl' |
| --- |
| |
| # Dataset Card for Evaluation run of Qwen/Qwen2.5-7B-Instruct |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| Dataset automatically created during the evaluation run of model [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) |
| The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. |
|
|
| The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. |
|
|
| An additional configuration "results" store all the aggregated results of the run. |
|
|
| To load the details from a run, you can for instance do the following: |
| ```python |
| from datasets import load_dataset |
| data = load_dataset( |
| "open-llm-leaderboard/Qwen__Qwen2.5-7B-Instruct-details", |
| name="Qwen__Qwen2.5-7B-Instruct__leaderboard_bbh_boolean_expressions", |
| split="latest" |
| ) |
| ``` |
|
|
| ## Latest results |
|
|
| These are the [latest results from run 2024-09-19T16-21-01.446061](https://huggingface.co/datasets/open-llm-leaderboard/Qwen__Qwen2.5-7B-Instruct-details/blob/main/Qwen__Qwen2.5-7B-Instruct/results_2024-09-19T16-21-01.446061.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": 0.8141486810551559, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "prompt_level_strict_acc,none": 0.7208872458410351, |
| "prompt_level_strict_acc_stderr,none": 0.019303080958497275, |
| "acc_norm,none": 0.48553638604228827, |
| "acc_norm_stderr,none": 0.005320814599682206, |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "prompt_level_loose_acc,none": 0.7430683918669131, |
| "prompt_level_loose_acc_stderr,none": 0.01880296257563689, |
| "acc,none": 0.4286901595744681, |
| "acc_stderr,none": 0.00451187174824774, |
| "inst_level_strict_acc,none": 0.7961630695443646, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.5368859572990801, |
| "acc_norm_stderr,none": 0.006169996878504731, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.844, |
| "acc_norm_stderr,none": 0.022995023034068682, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5294117647058824, |
| "acc_norm_stderr,none": 0.03659829510813266, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.564, |
| "acc_norm_stderr,none": 0.03142556706028136, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.628, |
| "acc_norm_stderr,none": 0.03063032594455827, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.596, |
| "acc_norm_stderr,none": 0.03109668818482536, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.516, |
| "acc_norm_stderr,none": 0.03166998503010743, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.52, |
| "acc_norm_stderr,none": 0.03166085340849512, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.504, |
| "acc_norm_stderr,none": 0.0316851985511992, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.472, |
| "acc_norm_stderr,none": 0.031636489531544396, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.76, |
| "acc_norm_stderr,none": 0.027065293652238982, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.568, |
| "acc_norm_stderr,none": 0.03139181076542941, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.692, |
| "acc_norm_stderr,none": 0.02925692860650181, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.34, |
| "acc_norm_stderr,none": 0.030020073605457873, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.5616438356164384, |
| "acc_norm_stderr,none": 0.04120596186613957, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.648, |
| "acc_norm_stderr,none": 0.030266288057359866, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.568, |
| "acc_norm_stderr,none": 0.03139181076542941, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.544, |
| "acc_norm_stderr,none": 0.031563285061213475, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.7191011235955056, |
| "acc_norm_stderr,none": 0.03378184395518332, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.732, |
| "acc_norm_stderr,none": 0.02806876238252672, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.544, |
| "acc_norm_stderr,none": 0.031563285061213475, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.16, |
| "acc_norm_stderr,none": 0.023232714782060626, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.132, |
| "acc_norm_stderr,none": 0.021450980824038166, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.24, |
| "acc_norm_stderr,none": 0.027065293652238982, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.564, |
| "acc_norm_stderr,none": 0.03142556706028136, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.2911073825503356, |
| "acc_norm_stderr,none": 0.013172701680874218, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.29292929292929293, |
| "acc_norm_stderr,none": 0.032424979581788145, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.2838827838827839, |
| "acc_norm_stderr,none": 0.01931360450766325, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.29910714285714285, |
| "acc_norm_stderr,none": 0.021656359273377022, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.7208872458410351, |
| "prompt_level_strict_acc_stderr,none": 0.019303080958497275, |
| "inst_level_strict_acc,none": 0.7961630695443646, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.7430683918669131, |
| "prompt_level_loose_acc_stderr,none": 0.01880296257563689, |
| "inst_level_loose_acc,none": 0.8141486810551559, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_algebra_hard" |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_counting_and_prob_hard" |
| }, |
| "leaderboard_math_geometry_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.4286901595744681, |
| "acc_stderr,none": 0.00451187174824774, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.4007936507936508, |
| "acc_norm_stderr,none": 0.01737133070489318, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.512, |
| "acc_norm_stderr,none": 0.03167708558254714, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.24609375, |
| "acc_norm_stderr,none": 0.026973597563786113, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.448, |
| "acc_norm_stderr,none": 0.03151438761115349, |
| "alias": " - leaderboard_musr_team_allocation" |
| } |
| }, |
| "leaderboard": { |
| "inst_level_loose_acc,none": 0.8141486810551559, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "prompt_level_strict_acc,none": 0.7208872458410351, |
| "prompt_level_strict_acc_stderr,none": 0.019303080958497275, |
| "acc_norm,none": 0.48553638604228827, |
| "acc_norm_stderr,none": 0.005320814599682206, |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "prompt_level_loose_acc,none": 0.7430683918669131, |
| "prompt_level_loose_acc_stderr,none": 0.01880296257563689, |
| "acc,none": 0.4286901595744681, |
| "acc_stderr,none": 0.00451187174824774, |
| "inst_level_strict_acc,none": 0.7961630695443646, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.5368859572990801, |
| "acc_norm_stderr,none": 0.006169996878504731, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.844, |
| "acc_norm_stderr,none": 0.022995023034068682, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5294117647058824, |
| "acc_norm_stderr,none": 0.03659829510813266, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.564, |
| "acc_norm_stderr,none": 0.03142556706028136, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.628, |
| "acc_norm_stderr,none": 0.03063032594455827, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.596, |
| "acc_norm_stderr,none": 0.03109668818482536, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.516, |
| "acc_norm_stderr,none": 0.03166998503010743, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.52, |
| "acc_norm_stderr,none": 0.03166085340849512, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.504, |
| "acc_norm_stderr,none": 0.0316851985511992, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.472, |
| "acc_norm_stderr,none": 0.031636489531544396, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.76, |
| "acc_norm_stderr,none": 0.027065293652238982, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.568, |
| "acc_norm_stderr,none": 0.03139181076542941, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.692, |
| "acc_norm_stderr,none": 0.02925692860650181, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.34, |
| "acc_norm_stderr,none": 0.030020073605457873, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.5616438356164384, |
| "acc_norm_stderr,none": 0.04120596186613957, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.648, |
| "acc_norm_stderr,none": 0.030266288057359866, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.568, |
| "acc_norm_stderr,none": 0.03139181076542941, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.544, |
| "acc_norm_stderr,none": 0.031563285061213475, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.7191011235955056, |
| "acc_norm_stderr,none": 0.03378184395518332, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.732, |
| "acc_norm_stderr,none": 0.02806876238252672, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.544, |
| "acc_norm_stderr,none": 0.031563285061213475, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.16, |
| "acc_norm_stderr,none": 0.023232714782060626, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.132, |
| "acc_norm_stderr,none": 0.021450980824038166, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.24, |
| "acc_norm_stderr,none": 0.027065293652238982, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.564, |
| "acc_norm_stderr,none": 0.03142556706028136, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.2911073825503356, |
| "acc_norm_stderr,none": 0.013172701680874218, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.29292929292929293, |
| "acc_norm_stderr,none": 0.032424979581788145, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.2838827838827839, |
| "acc_norm_stderr,none": 0.01931360450766325, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.29910714285714285, |
| "acc_norm_stderr,none": 0.021656359273377022, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.7208872458410351, |
| "prompt_level_strict_acc_stderr,none": 0.019303080958497275, |
| "inst_level_strict_acc,none": 0.7961630695443646, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.7430683918669131, |
| "prompt_level_loose_acc_stderr,none": 0.01880296257563689, |
| "inst_level_loose_acc,none": 0.8141486810551559, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_algebra_hard" |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_counting_and_prob_hard" |
| }, |
| "leaderboard_math_geometry_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.4286901595744681, |
| "acc_stderr,none": 0.00451187174824774, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.4007936507936508, |
| "acc_norm_stderr,none": 0.01737133070489318, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.512, |
| "acc_norm_stderr,none": 0.03167708558254714, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.24609375, |
| "acc_norm_stderr,none": 0.026973597563786113, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.448, |
| "acc_norm_stderr,none": 0.03151438761115349, |
| "alias": " - leaderboard_musr_team_allocation" |
| } |
| } |
| ``` |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| <!-- Provide a longer summary of what this dataset is. --> |
|
|
|
|
|
|
| - **Curated by:** [More Information Needed] |
| - **Funded by [optional]:** [More Information Needed] |
| - **Shared by [optional]:** [More Information Needed] |
| - **Language(s) (NLP):** [More Information Needed] |
| - **License:** [More Information Needed] |
|
|
| ### Dataset Sources [optional] |
|
|
| <!-- Provide the basic links for the dataset. --> |
|
|
| - **Repository:** [More Information Needed] |
| - **Paper [optional]:** [More Information Needed] |
| - **Demo [optional]:** [More Information Needed] |
|
|
| ## Uses |
|
|
| <!-- Address questions around how the dataset is intended to be used. --> |
|
|
| ### Direct Use |
|
|
| <!-- This section describes suitable use cases for the dataset. --> |
|
|
| [More Information Needed] |
|
|
| ### Out-of-Scope Use |
|
|
| <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
|
|
| [More Information Needed] |
|
|
| ## Dataset Structure |
|
|
| <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
|
|
| [More Information Needed] |
|
|
| ## Dataset Creation |
|
|
| ### Curation Rationale |
|
|
| <!-- Motivation for the creation of this dataset. --> |
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| [More Information Needed] |
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| ### Source Data |
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| <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
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| #### Data Collection and Processing |
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| <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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| [More Information Needed] |
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| #### Who are the source data producers? |
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| <!-- 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. --> |
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| [More Information Needed] |
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| ### Annotations [optional] |
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| <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> |
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| #### 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] |
