| --- |
| pretty_name: Evaluation run of lesubra/ECE-EIFFEL-3B |
| dataset_summary: "Dataset automatically created during the evaluation run of model\ |
| \ [lesubra/ECE-EIFFEL-3B](https://huggingface.co/lesubra/ECE-EIFFEL-3B)\nThe 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\n\ |
| from datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/lesubra__ECE-EIFFEL-3B-details\"\ |
| ,\n\tname=\"lesubra__ECE-EIFFEL-3B__leaderboard_bbh_boolean_expressions\",\n\tsplit=\"\ |
| latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results from run\ |
| \ 2024-10-02T02-33-30.766689](https://huggingface.co/datasets/open-llm-leaderboard/lesubra__ECE-EIFFEL-3B-details/blob/main/lesubra__ECE-EIFFEL-3B/results_2024-10-02T02-33-30.766689.json)\ |
| \ (note that there might be results for other tasks in the repos if successive evals\ |
| \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ |
| \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ |
| \ \"inst_level_strict_acc,none\": 0.4184652278177458,\n \"\ |
| inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ |
| : 0.2754158964879852,\n \"prompt_level_strict_acc_stderr,none\": 0.019223923196242013,\n\ |
| \ \"exact_match,none\": 0.08836858006042296,\n \"exact_match_stderr,none\"\ |
| : 0.007495535438853552,\n \"acc,none\": 0.3820644946808511,\n \ |
| \ \"acc_stderr,none\": 0.004429850315349572,\n \"prompt_level_loose_acc,none\"\ |
| : 0.30129390018484287,\n \"prompt_level_loose_acc_stderr,none\": 0.01974447348351431,\n\ |
| \ \"inst_level_loose_acc,none\": 0.44244604316546765,\n \"\ |
| inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\": 0.4747697496432741,\n\ |
| \ \"acc_norm_stderr,none\": 0.005325692040255079,\n \"alias\"\ |
| : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ |
| : 0.5096337441416421,\n \"acc_norm_stderr,none\": 0.006128569096404915,\n\ |
| \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
| : {\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\"\ |
| : 0.02496069198917201,\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ |
| \n },\n \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\"\ |
| : 0.5668449197860963,\n \"acc_norm_stderr,none\": 0.036332674111025864,\n\ |
| \ \"alias\": \" - leaderboard_bbh_causal_judgement\"\n },\n \ |
| \ \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ |
| : 0.46,\n \"acc_norm_stderr,none\": 0.03158465389149902,\n \ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"\ |
| leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\": 0.776,\n\ |
| \ \"acc_norm_stderr,none\": 0.0264213616873479,\n \"alias\"\ |
| : \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
| : {\n \"acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\"\ |
| : 0.031457244522235646,\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
| \n },\n \"leaderboard_bbh_geometric_shapes\": {\n \"acc_norm,none\"\ |
| : 0.224,\n \"acc_norm_stderr,none\": 0.02642136168734791,\n \ |
| \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"\ |
| leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\": 0.868,\n \ |
| \ \"acc_norm_stderr,none\": 0.021450980824038093,\n \"alias\": \"\ |
| \ - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.492,\n \"acc_norm_stderr,none\"\ |
| : 0.031682156431413803,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
| \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.388,\n \"acc_norm_stderr,none\": 0.03088103874899392,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465912,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
| acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554574,\n\ |
| \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ |
| \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.612,\n\ |
| \ \"acc_norm_stderr,none\": 0.03088103874899392,\n \"alias\"\ |
| : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.288,\n \"acc_norm_stderr,none\"\ |
| : 0.02869700458739821,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
| \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
| acc_norm,none\": 0.3835616438356164,\n \"acc_norm_stderr,none\": 0.04038112474853564,\n\ |
| \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ |
| \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ |
| : 0.54,\n \"acc_norm_stderr,none\": 0.03158465389149899,\n \ |
| \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\"\ |
| : 0.031621252575725504,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ |
| \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ |
| : 0.6853932584269663,\n \"acc_norm_stderr,none\": 0.03490336455459109,\n\ |
| \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\"\ |
| : 0.03099319785457785,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ |
| \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ |
| acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993915,\n\ |
| \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ |
| \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"acc_norm,none\": 0.188,\n \"acc_norm_stderr,none\": 0.024760377727750485,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| : {\n \"acc_norm,none\": 0.172,\n \"acc_norm_stderr,none\"\ |
| : 0.023915513944486218,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\"\ |
| : 0.029150213374159677,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ |
| : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254708,\n \ |
| \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ |
| : {\n \"acc_norm,none\": 0.3313758389261745,\n \"acc_norm_stderr,none\"\ |
| : 0.013649520028401165,\n \"alias\": \" - leaderboard_gpqa\"\n \ |
| \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.3383838383838384,\n\ |
| \ \"acc_norm_stderr,none\": 0.03371124142626303,\n \"alias\"\ |
| : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ |
| : {\n \"acc_norm,none\": 0.3241758241758242,\n \"acc_norm_stderr,none\"\ |
| : 0.020049748182808667,\n \"alias\": \" - leaderboard_gpqa_extended\"\ |
| \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ |
| : 0.33705357142857145,\n \"acc_norm_stderr,none\": 0.02235810146577642,\n\ |
| \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ |
| : {\n \"prompt_level_strict_acc,none\": 0.2754158964879852,\n \ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.019223923196242013,\n \ |
| \ \"inst_level_strict_acc,none\": 0.4184652278177458,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.30129390018484287,\n\ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01974447348351431,\n \ |
| \ \"inst_level_loose_acc,none\": 0.44244604316546765,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ |
| \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.08836858006042296,\n\ |
| \ \"exact_match_stderr,none\": 0.007495535438853552,\n \"\ |
| alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.17263843648208468,\n \"exact_match_stderr,none\"\ |
| : 0.0216050713251402,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ |
| \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ |
| \ \"exact_match,none\": 0.08130081300813008,\n \"exact_match_stderr,none\"\ |
| : 0.024743104820672334,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ |
| \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
| : 0.045454545454545456,\n \"exact_match_stderr,none\": 0.018199158975632727,\n\ |
| \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ |
| \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ |
| : 0.010714285714285714,\n \"exact_match_stderr,none\": 0.006163684194761599,\n\ |
| \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ |
| \ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.012987012987012988,\n \"exact_match_stderr,none\": 0.009153145279150208,\n\ |
| \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ |
| \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ |
| : 0.21243523316062177,\n \"exact_match_stderr,none\": 0.029519282616817258,\n\ |
| \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ |
| \ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
| : 0.014814814814814815,\n \"exact_match_stderr,none\": 0.010436494549594364,\n\ |
| \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ |
| \ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.3820644946808511,\n\ |
| \ \"acc_stderr,none\": 0.004429850315349572,\n \"alias\":\ |
| \ \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ |
| \ \"acc_norm,none\": 0.4351851851851852,\n \"acc_norm_stderr,none\"\ |
| : 0.017463627318611816,\n \"alias\": \" - leaderboard_musr\"\n \ |
| \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ |
| : 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401195,\n \ |
| \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"\ |
| leaderboard_musr_object_placements\": {\n \"acc_norm,none\": 0.3046875,\n\ |
| \ \"acc_norm_stderr,none\": 0.0288235352734838,\n \"alias\"\ |
| : \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"acc_norm,none\": 0.396,\n \"acc_norm_stderr,none\"\ |
| : 0.03099319785457785,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
| \n }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ |
| : 0.4184652278177458,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ |
| \ \"prompt_level_strict_acc,none\": 0.2754158964879852,\n \"prompt_level_strict_acc_stderr,none\"\ |
| : 0.019223923196242013,\n \"exact_match,none\": 0.08836858006042296,\n \ |
| \ \"exact_match_stderr,none\": 0.007495535438853552,\n \"acc,none\"\ |
| : 0.3820644946808511,\n \"acc_stderr,none\": 0.004429850315349572,\n \ |
| \ \"prompt_level_loose_acc,none\": 0.30129390018484287,\n \"prompt_level_loose_acc_stderr,none\"\ |
| : 0.01974447348351431,\n \"inst_level_loose_acc,none\": 0.44244604316546765,\n\ |
| \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ |
| : 0.4747697496432741,\n \"acc_norm_stderr,none\": 0.005325692040255079,\n\ |
| \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \ |
| \ \"acc_norm,none\": 0.5096337441416421,\n \"acc_norm_stderr,none\": 0.006128569096404915,\n\ |
| \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
| : {\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\": 0.02496069198917201,\n\ |
| \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ |
| leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5668449197860963,\n\ |
| \ \"acc_norm_stderr,none\": 0.036332674111025864,\n \"alias\": \"\ |
| \ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ |
| : {\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.03158465389149902,\n\ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
| : {\n \"acc_norm,none\": 0.776,\n \"acc_norm_stderr,none\": 0.0264213616873479,\n\ |
| \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
| : {\n \"acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\": 0.031457244522235646,\n\ |
| \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
| : {\n \"acc_norm,none\": 0.224,\n \"acc_norm_stderr,none\": 0.02642136168734791,\n\ |
| \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ |
| : {\n \"acc_norm,none\": 0.868,\n \"acc_norm_stderr,none\": 0.021450980824038093,\n\ |
| \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.492,\n \"acc_norm_stderr,none\": 0.031682156431413803,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ |
| \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ |
| : 0.388,\n \"acc_norm_stderr,none\": 0.03088103874899392,\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.668,\n \"acc_norm_stderr,none\": 0.029844039047465912,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ |
| : 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554574,\n \"alias\"\ |
| : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ |
| : {\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\": 0.03088103874899392,\n\ |
| \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.288,\n \"acc_norm_stderr,none\": 0.02869700458739821,\n\ |
| \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ |
| : {\n \"acc_norm,none\": 0.3835616438356164,\n \"acc_norm_stderr,none\"\ |
| : 0.04038112474853564,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ |
| \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.54,\n\ |
| \ \"acc_norm_stderr,none\": 0.03158465389149899,\n \"alias\": \" \ |
| \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ |
| \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ |
| \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.6853932584269663,\n\ |
| \ \"acc_norm_stderr,none\": 0.03490336455459109,\n \"alias\": \" \ |
| \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.03099319785457785,\n\ |
| \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ |
| leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.612,\n \ |
| \ \"acc_norm_stderr,none\": 0.030881038748993915,\n \"alias\": \" -\ |
| \ leaderboard_bbh_temporal_sequences\"\n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.188,\n \"acc_norm_stderr,none\": 0.024760377727750485,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.172,\n \"acc_norm_stderr,none\": 0.023915513944486218,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.029150213374159677,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.488,\n\ |
| \ \"acc_norm_stderr,none\": 0.03167708558254708,\n \"alias\": \" \ |
| \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ |
| \ \"acc_norm,none\": 0.3313758389261745,\n \"acc_norm_stderr,none\": 0.013649520028401165,\n\ |
| \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ |
| : {\n \"acc_norm,none\": 0.3383838383838384,\n \"acc_norm_stderr,none\"\ |
| : 0.03371124142626303,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ |
| \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.3241758241758242,\n\ |
| \ \"acc_norm_stderr,none\": 0.020049748182808667,\n \"alias\": \"\ |
| \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ |
| \ \"acc_norm,none\": 0.33705357142857145,\n \"acc_norm_stderr,none\"\ |
| : 0.02235810146577642,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ |
| \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.2754158964879852,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.019223923196242013,\n \ |
| \ \"inst_level_strict_acc,none\": 0.4184652278177458,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.30129390018484287,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01974447348351431,\n \"inst_level_loose_acc,none\"\ |
| : 0.44244604316546765,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ |
| \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ |
| : {\n \"exact_match,none\": 0.08836858006042296,\n \"exact_match_stderr,none\"\ |
| : 0.007495535438853552,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ |
| \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.17263843648208468,\n\ |
| \ \"exact_match_stderr,none\": 0.0216050713251402,\n \"alias\": \"\ |
| \ - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ |
| : {\n \"exact_match,none\": 0.08130081300813008,\n \"exact_match_stderr,none\"\ |
| : 0.024743104820672334,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ |
| \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
| : 0.045454545454545456,\n \"exact_match_stderr,none\": 0.018199158975632727,\n\ |
| \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.010714285714285714,\n \"exact_match_stderr,none\"\ |
| : 0.006163684194761599,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ |
| \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.012987012987012988,\n \"exact_match_stderr,none\": 0.009153145279150208,\n\ |
| \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ |
| : {\n \"exact_match,none\": 0.21243523316062177,\n \"exact_match_stderr,none\"\ |
| : 0.029519282616817258,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
| \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ |
| : 0.014814814814814815,\n \"exact_match_stderr,none\": 0.010436494549594364,\n\ |
| \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ |
| : {\n \"acc,none\": 0.3820644946808511,\n \"acc_stderr,none\": 0.004429850315349572,\n\ |
| \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ |
| : {\n \"acc_norm,none\": 0.4351851851851852,\n \"acc_norm_stderr,none\"\ |
| : 0.017463627318611816,\n \"alias\": \" - leaderboard_musr\"\n },\n \ |
| \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.608,\n\ |
| \ \"acc_norm_stderr,none\": 0.030938207620401195,\n \"alias\": \"\ |
| \ - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ |
| : {\n \"acc_norm,none\": 0.3046875,\n \"acc_norm_stderr,none\": 0.0288235352734838,\n\ |
| \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"acc_norm,none\": 0.396,\n \"acc_norm_stderr,none\": 0.03099319785457785,\n\ |
| \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" |
| repo_url: https://huggingface.co/lesubra/ECE-EIFFEL-3B |
| leaderboard_url: '' |
| point_of_contact: '' |
| configs: |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_boolean_expressions |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_causal_judgement |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_date_understanding |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_disambiguation_qa |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_formal_fallacies |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_geometric_shapes |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_hyperbaton |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_logical_deduction_five_objects |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_logical_deduction_seven_objects |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_logical_deduction_three_objects |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_movie_recommendation |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_navigate |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_object_counting |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_penguins_in_a_table |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_reasoning_about_colored_objects |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_ruin_names |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_salient_translation_error_detection |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_snarks |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_sports_understanding |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_temporal_sequences |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_tracking_shuffled_objects_five_objects |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_tracking_shuffled_objects_three_objects |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_bbh_web_of_lies |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_gpqa_diamond |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_gpqa_extended |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_gpqa_main |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_ifeval |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_ifeval_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_ifeval_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_math_algebra_hard |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_math_counting_and_prob_hard |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_math_geometry_hard |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_math_intermediate_algebra_hard |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_math_num_theory_hard |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_math_prealgebra_hard |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_math_precalculus_hard |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_mmlu_pro |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_musr_murder_mysteries |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_musr_object_placements |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-10-02T02-33-30.766689.jsonl' |
| - config_name: lesubra__ECE-EIFFEL-3B__leaderboard_musr_team_allocation |
| data_files: |
| - split: 2024_10_02T02_33_30.766689 |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-10-02T02-33-30.766689.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-10-02T02-33-30.766689.jsonl' |
| --- |
| |
| # Dataset Card for Evaluation run of lesubra/ECE-EIFFEL-3B |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| Dataset automatically created during the evaluation run of model [lesubra/ECE-EIFFEL-3B](https://huggingface.co/lesubra/ECE-EIFFEL-3B) |
| 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/lesubra__ECE-EIFFEL-3B-details", |
| name="lesubra__ECE-EIFFEL-3B__leaderboard_bbh_boolean_expressions", |
| split="latest" |
| ) |
| ``` |
|
|
| ## Latest results |
|
|
| These are the [latest results from run 2024-10-02T02-33-30.766689](https://huggingface.co/datasets/open-llm-leaderboard/lesubra__ECE-EIFFEL-3B-details/blob/main/lesubra__ECE-EIFFEL-3B/results_2024-10-02T02-33-30.766689.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): |
|
|
| ```python |
| { |
| "all": { |
| "leaderboard": { |
| "inst_level_strict_acc,none": 0.4184652278177458, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_strict_acc,none": 0.2754158964879852, |
| "prompt_level_strict_acc_stderr,none": 0.019223923196242013, |
| "exact_match,none": 0.08836858006042296, |
| "exact_match_stderr,none": 0.007495535438853552, |
| "acc,none": 0.3820644946808511, |
| "acc_stderr,none": 0.004429850315349572, |
| "prompt_level_loose_acc,none": 0.30129390018484287, |
| "prompt_level_loose_acc_stderr,none": 0.01974447348351431, |
| "inst_level_loose_acc,none": 0.44244604316546765, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "acc_norm,none": 0.4747697496432741, |
| "acc_norm_stderr,none": 0.005325692040255079, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.5096337441416421, |
| "acc_norm_stderr,none": 0.006128569096404915, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.808, |
| "acc_norm_stderr,none": 0.02496069198917201, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5668449197860963, |
| "acc_norm_stderr,none": 0.036332674111025864, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.46, |
| "acc_norm_stderr,none": 0.03158465389149902, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.776, |
| "acc_norm_stderr,none": 0.0264213616873479, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.56, |
| "acc_norm_stderr,none": 0.031457244522235646, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.224, |
| "acc_norm_stderr,none": 0.02642136168734791, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.868, |
| "acc_norm_stderr,none": 0.021450980824038093, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.492, |
| "acc_norm_stderr,none": 0.031682156431413803, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.388, |
| "acc_norm_stderr,none": 0.03088103874899392, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.668, |
| "acc_norm_stderr,none": 0.029844039047465912, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.556, |
| "acc_norm_stderr,none": 0.03148684942554574, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.612, |
| "acc_norm_stderr,none": 0.03088103874899392, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.288, |
| "acc_norm_stderr,none": 0.02869700458739821, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.3835616438356164, |
| "acc_norm_stderr,none": 0.04038112474853564, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.468, |
| "acc_norm_stderr,none": 0.031621252575725504, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.54, |
| "acc_norm_stderr,none": 0.03158465389149899, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.532, |
| "acc_norm_stderr,none": 0.031621252575725504, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.6853932584269663, |
| "acc_norm_stderr,none": 0.03490336455459109, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.604, |
| "acc_norm_stderr,none": 0.03099319785457785, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.612, |
| "acc_norm_stderr,none": 0.030881038748993915, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.188, |
| "acc_norm_stderr,none": 0.024760377727750485, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.172, |
| "acc_norm_stderr,none": 0.023915513944486218, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.304, |
| "acc_norm_stderr,none": 0.029150213374159677, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.488, |
| "acc_norm_stderr,none": 0.03167708558254708, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.3313758389261745, |
| "acc_norm_stderr,none": 0.013649520028401165, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.3383838383838384, |
| "acc_norm_stderr,none": 0.03371124142626303, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.3241758241758242, |
| "acc_norm_stderr,none": 0.020049748182808667, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.33705357142857145, |
| "acc_norm_stderr,none": 0.02235810146577642, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.2754158964879852, |
| "prompt_level_strict_acc_stderr,none": 0.019223923196242013, |
| "inst_level_strict_acc,none": 0.4184652278177458, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.30129390018484287, |
| "prompt_level_loose_acc_stderr,none": 0.01974447348351431, |
| "inst_level_loose_acc,none": 0.44244604316546765, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.08836858006042296, |
| "exact_match_stderr,none": 0.007495535438853552, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.17263843648208468, |
| "exact_match_stderr,none": 0.0216050713251402, |
| "alias": " - leaderboard_math_algebra_hard" |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "exact_match,none": 0.08130081300813008, |
| "exact_match_stderr,none": 0.024743104820672334, |
| "alias": " - leaderboard_math_counting_and_prob_hard" |
| }, |
| "leaderboard_math_geometry_hard": { |
| "exact_match,none": 0.045454545454545456, |
| "exact_match_stderr,none": 0.018199158975632727, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.010714285714285714, |
| "exact_match_stderr,none": 0.006163684194761599, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.012987012987012988, |
| "exact_match_stderr,none": 0.009153145279150208, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.21243523316062177, |
| "exact_match_stderr,none": 0.029519282616817258, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.014814814814814815, |
| "exact_match_stderr,none": 0.010436494549594364, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.3820644946808511, |
| "acc_stderr,none": 0.004429850315349572, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.4351851851851852, |
| "acc_norm_stderr,none": 0.017463627318611816, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.608, |
| "acc_norm_stderr,none": 0.030938207620401195, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.3046875, |
| "acc_norm_stderr,none": 0.0288235352734838, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.396, |
| "acc_norm_stderr,none": 0.03099319785457785, |
| "alias": " - leaderboard_musr_team_allocation" |
| } |
| }, |
| "leaderboard": { |
| "inst_level_strict_acc,none": 0.4184652278177458, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_strict_acc,none": 0.2754158964879852, |
| "prompt_level_strict_acc_stderr,none": 0.019223923196242013, |
| "exact_match,none": 0.08836858006042296, |
| "exact_match_stderr,none": 0.007495535438853552, |
| "acc,none": 0.3820644946808511, |
| "acc_stderr,none": 0.004429850315349572, |
| "prompt_level_loose_acc,none": 0.30129390018484287, |
| "prompt_level_loose_acc_stderr,none": 0.01974447348351431, |
| "inst_level_loose_acc,none": 0.44244604316546765, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "acc_norm,none": 0.4747697496432741, |
| "acc_norm_stderr,none": 0.005325692040255079, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.5096337441416421, |
| "acc_norm_stderr,none": 0.006128569096404915, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.808, |
| "acc_norm_stderr,none": 0.02496069198917201, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5668449197860963, |
| "acc_norm_stderr,none": 0.036332674111025864, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.46, |
| "acc_norm_stderr,none": 0.03158465389149902, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.776, |
| "acc_norm_stderr,none": 0.0264213616873479, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.56, |
| "acc_norm_stderr,none": 0.031457244522235646, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.224, |
| "acc_norm_stderr,none": 0.02642136168734791, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.868, |
| "acc_norm_stderr,none": 0.021450980824038093, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.492, |
| "acc_norm_stderr,none": 0.031682156431413803, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.388, |
| "acc_norm_stderr,none": 0.03088103874899392, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.668, |
| "acc_norm_stderr,none": 0.029844039047465912, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.556, |
| "acc_norm_stderr,none": 0.03148684942554574, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.612, |
| "acc_norm_stderr,none": 0.03088103874899392, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.288, |
| "acc_norm_stderr,none": 0.02869700458739821, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.3835616438356164, |
| "acc_norm_stderr,none": 0.04038112474853564, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.468, |
| "acc_norm_stderr,none": 0.031621252575725504, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.54, |
| "acc_norm_stderr,none": 0.03158465389149899, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.532, |
| "acc_norm_stderr,none": 0.031621252575725504, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.6853932584269663, |
| "acc_norm_stderr,none": 0.03490336455459109, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.604, |
| "acc_norm_stderr,none": 0.03099319785457785, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.612, |
| "acc_norm_stderr,none": 0.030881038748993915, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.188, |
| "acc_norm_stderr,none": 0.024760377727750485, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.172, |
| "acc_norm_stderr,none": 0.023915513944486218, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.304, |
| "acc_norm_stderr,none": 0.029150213374159677, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.488, |
| "acc_norm_stderr,none": 0.03167708558254708, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.3313758389261745, |
| "acc_norm_stderr,none": 0.013649520028401165, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.3383838383838384, |
| "acc_norm_stderr,none": 0.03371124142626303, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.3241758241758242, |
| "acc_norm_stderr,none": 0.020049748182808667, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.33705357142857145, |
| "acc_norm_stderr,none": 0.02235810146577642, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.2754158964879852, |
| "prompt_level_strict_acc_stderr,none": 0.019223923196242013, |
| "inst_level_strict_acc,none": 0.4184652278177458, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.30129390018484287, |
| "prompt_level_loose_acc_stderr,none": 0.01974447348351431, |
| "inst_level_loose_acc,none": 0.44244604316546765, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.08836858006042296, |
| "exact_match_stderr,none": 0.007495535438853552, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.17263843648208468, |
| "exact_match_stderr,none": 0.0216050713251402, |
| "alias": " - leaderboard_math_algebra_hard" |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "exact_match,none": 0.08130081300813008, |
| "exact_match_stderr,none": 0.024743104820672334, |
| "alias": " - leaderboard_math_counting_and_prob_hard" |
| }, |
| "leaderboard_math_geometry_hard": { |
| "exact_match,none": 0.045454545454545456, |
| "exact_match_stderr,none": 0.018199158975632727, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.010714285714285714, |
| "exact_match_stderr,none": 0.006163684194761599, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.012987012987012988, |
| "exact_match_stderr,none": 0.009153145279150208, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.21243523316062177, |
| "exact_match_stderr,none": 0.029519282616817258, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.014814814814814815, |
| "exact_match_stderr,none": 0.010436494549594364, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.3820644946808511, |
| "acc_stderr,none": 0.004429850315349572, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.4351851851851852, |
| "acc_norm_stderr,none": 0.017463627318611816, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.608, |
| "acc_norm_stderr,none": 0.030938207620401195, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.3046875, |
| "acc_norm_stderr,none": 0.0288235352734838, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.396, |
| "acc_norm_stderr,none": 0.03099319785457785, |
| "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] |
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| ### Dataset Sources [optional] |
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| <!-- Provide the basic links for the dataset. --> |
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| - **Repository:** [More Information Needed] |
| - **Paper [optional]:** [More Information Needed] |
| - **Demo [optional]:** [More Information Needed] |
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| ## Uses |
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| <!-- Address questions around how the dataset is intended to be used. --> |
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| ### Direct Use |
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| <!-- This section describes suitable use cases for the dataset. --> |
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| [More Information Needed] |
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| ### Out-of-Scope Use |
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| <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
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| [More Information Needed] |
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| ## Dataset Structure |
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| <!-- 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. --> |
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| [More Information Needed] |
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| ## Dataset Creation |
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| ### Curation Rationale |
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| <!-- 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] |
