| --- |
| pretty_name: Evaluation run of Quazim0t0/Imagine-v0.5-16bit |
| dataset_summary: "Dataset automatically created during the evaluation run of model\ |
| \ [Quazim0t0/Imagine-v0.5-16bit](https://huggingface.co/Quazim0t0/Imagine-v0.5-16bit)\n\ |
| The dataset is composed of 38 configuration(s), each one corresponding to one of\ |
| \ the evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can\ |
| \ be found as a specific split in each configuration, the split being named using\ |
| \ the timestamp of the run.The \"train\" split is always pointing to the latest\ |
| \ results.\n\nAn additional configuration \"results\" store all the aggregated results\ |
| \ of the run.\n\nTo load the details from a run, you can for instance do the following:\n\ |
| ```python\nfrom datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/Quazim0t0__Imagine-v0.5-16bit-details\"\ |
| ,\n\tname=\"Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_boolean_expressions\"\ |
| ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ |
| \ from run 2025-03-09T13-07-33.097475](https://huggingface.co/datasets/open-llm-leaderboard/Quazim0t0__Imagine-v0.5-16bit-details/blob/main/Quazim0t0__Imagine-v0.5-16bit/results_2025-03-09T13-07-33.097475.json)\ |
| \ (note that there might be results for other tasks in the repos if successive evals\ |
| \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ |
| \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ |
| \ \"prompt_level_loose_acc,none\": 0.21256931608133087,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01760595448210665,\n \"inst_level_strict_acc,none\"\ |
| : 0.34292565947242204,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ |
| ,\n \"exact_match,none\": 0.13972809667673716,\n \"exact_match_stderr,none\"\ |
| : 0.00922419672958792,\n \"acc,none\": 0.535405585106383,\n \ |
| \ \"acc_stderr,none\": 0.004547027466022857,\n \"prompt_level_strict_acc,none\"\ |
| : 0.2088724584103512,\n \"prompt_level_strict_acc_stderr,none\": 0.017493107347793326,\n\ |
| \ \"inst_level_loose_acc,none\": 0.3501199040767386,\n \"\ |
| inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\": 0.6031910753664548,\n\ |
| \ \"acc_norm_stderr,none\": 0.005059970216671743,\n \"alias\"\ |
| : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ |
| : 0.6747092518659955,\n \"acc_norm_stderr,none\": 0.005670281951449082,\n\ |
| \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ |
| \ \"acc_norm,none\": 0.916,\n \"acc_norm_stderr,none\": 0.017578738526776348\n\ |
| \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.6256684491978609,\n\ |
| \ \"acc_norm_stderr,none\": 0.0354849234134303\n },\n \"\ |
| leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ |
| ,\n \"acc_norm,none\": 0.736,\n \"acc_norm_stderr,none\":\ |
| \ 0.027934518957690866\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \ |
| \ \"acc_norm,none\": 0.696,\n \"acc_norm_stderr,none\": 0.029150213374159652\n\ |
| \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_formal_fallacies\",\n \"acc_norm,none\": 0.74,\n\ |
| \ \"acc_norm_stderr,none\": 0.027797315752644335\n },\n \ |
| \ \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
| ,\n \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\":\ |
| \ 0.031563285061213475\n },\n \"leaderboard_bbh_hyperbaton\": {\n\ |
| \ \"alias\": \" - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\"\ |
| : 0.82,\n \"acc_norm_stderr,none\": 0.02434689065029351\n },\n\ |
| \ \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ |
| : 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014505\n },\n\ |
| \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ |
| alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ |
| acc_norm,none\": 0.504,\n \"acc_norm_stderr,none\": 0.0316851985511992\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ |
| \ \"acc_norm,none\": 0.896,\n \"acc_norm_stderr,none\": 0.019345100974843932\n\ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
| alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ |
| : 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n },\n\ |
| \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ |
| ,\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\":\ |
| \ 0.02806876238252672\n },\n \"leaderboard_bbh_object_counting\":\ |
| \ {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ |
| \ \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136\n\ |
| \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
| alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ |
| : 0.7191780821917808,\n \"acc_norm_stderr,none\": 0.037320694849458984\n\ |
| \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ |
| \ \"acc_norm,none\": 0.82,\n \"acc_norm_stderr,none\": 0.02434689065029351\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ |
| \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.896,\n \ |
| \ \"acc_norm_stderr,none\": 0.019345100974843932\n },\n \"\ |
| leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ |
| : 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n },\n\ |
| \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ |
| ,\n \"acc_norm,none\": 0.8370786516853933,\n \"acc_norm_stderr,none\"\ |
| : 0.02775782910660744\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ |
| \ \"acc_norm,none\": 0.772,\n \"acc_norm_stderr,none\": 0.026587432487268498\n\ |
| \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.996,\n\ |
| \ \"acc_norm_stderr,none\": 0.004\n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| ,\n \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.029040893477575783\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| ,\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\":\ |
| \ 0.029752391824475363\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| ,\n \"acc_norm,none\": 0.4,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ |
| \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\":\ |
| \ \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\": 0.548,\n\ |
| \ \"acc_norm_stderr,none\": 0.03153986449255664\n },\n \ |
| \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3649328859060403,\n\ |
| \ \"acc_norm_stderr,none\": 0.013950783551311977,\n \"alias\"\ |
| : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ |
| \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ |
| : 0.32323232323232326,\n \"acc_norm_stderr,none\": 0.03332299921070644\n\ |
| \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ |
| \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.3717948717948718,\n\ |
| \ \"acc_norm_stderr,none\": 0.020701612980719604\n },\n \ |
| \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
| ,\n \"acc_norm,none\": 0.375,\n \"acc_norm_stderr,none\":\ |
| \ 0.02289822829522849\n },\n \"leaderboard_ifeval\": {\n \ |
| \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ |
| : 0.2088724584103512,\n \"prompt_level_strict_acc_stderr,none\": 0.017493107347793326,\n\ |
| \ \"inst_level_strict_acc,none\": 0.34292565947242204,\n \"\ |
| inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ |
| : 0.21256931608133087,\n \"prompt_level_loose_acc_stderr,none\": 0.01760595448210665,\n\ |
| \ \"inst_level_loose_acc,none\": 0.3501199040767386,\n \"\ |
| inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ |
| : {\n \"exact_match,none\": 0.13972809667673716,\n \"exact_match_stderr,none\"\ |
| : 0.00922419672958792,\n \"alias\": \" - leaderboard_math_hard\"\n \ |
| \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\":\ |
| \ \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.19543973941368079,\n\ |
| \ \"exact_match_stderr,none\": 0.022668616386127674\n },\n \ |
| \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ |
| \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ |
| : 0.21951219512195122,\n \"exact_match_stderr,none\": 0.0374742087608476\n\ |
| \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ |
| : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.045454545454545456,\n\ |
| \ \"exact_match_stderr,none\": 0.018199158975632696\n },\n \ |
| \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ |
| \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ |
| : 0.039285714285714285,\n \"exact_match_stderr,none\": 0.011630873964205717\n\ |
| \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ |
| : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.17532467532467533,\n\ |
| \ \"exact_match_stderr,none\": 0.030740951540480968\n },\n \ |
| \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
| ,\n \"exact_match,none\": 0.26424870466321243,\n \"exact_match_stderr,none\"\ |
| : 0.03182155050916644\n },\n \"leaderboard_math_precalculus_hard\"\ |
| : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ |
| \ \"exact_match,none\": 0.022222222222222223,\n \"exact_match_stderr,none\"\ |
| : 0.01273389971505968\n },\n \"leaderboard_mmlu_pro\": {\n \ |
| \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.535405585106383,\n\ |
| \ \"acc_stderr,none\": 0.004547027466022857\n },\n \"leaderboard_musr\"\ |
| : {\n \"acc_norm,none\": 0.43386243386243384,\n \"acc_norm_stderr,none\"\ |
| : 0.017640843839955882,\n \"alias\": \" - leaderboard_musr\"\n \ |
| \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"alias\":\ |
| \ \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\": 0.56,\n\ |
| \ \"acc_norm_stderr,none\": 0.03145724452223569\n },\n \ |
| \ \"leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ |
| ,\n \"acc_norm,none\": 0.30078125,\n \"acc_norm_stderr,none\"\ |
| : 0.02871850463421181\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \ |
| \ \"acc_norm,none\": 0.444,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ |
| \ }\n },\n \"leaderboard\": {\n \"prompt_level_loose_acc,none\"\ |
| : 0.21256931608133087,\n \"prompt_level_loose_acc_stderr,none\": 0.01760595448210665,\n\ |
| \ \"inst_level_strict_acc,none\": 0.34292565947242204,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"exact_match,none\": 0.13972809667673716,\n \"exact_match_stderr,none\"\ |
| : 0.00922419672958792,\n \"acc,none\": 0.535405585106383,\n \"acc_stderr,none\"\ |
| : 0.004547027466022857,\n \"prompt_level_strict_acc,none\": 0.2088724584103512,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.017493107347793326,\n \ |
| \ \"inst_level_loose_acc,none\": 0.3501199040767386,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\",\n \"acc_norm,none\": 0.6031910753664548,\n \"acc_norm_stderr,none\"\ |
| : 0.005059970216671743,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ |
| : {\n \"acc_norm,none\": 0.6747092518659955,\n \"acc_norm_stderr,none\"\ |
| : 0.005670281951449082,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ |
| \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ |
| ,\n \"acc_norm,none\": 0.916,\n \"acc_norm_stderr,none\": 0.017578738526776348\n\ |
| \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ |
| ,\n \"acc_norm,none\": 0.6256684491978609,\n \"acc_norm_stderr,none\"\ |
| : 0.0354849234134303\n },\n \"leaderboard_bbh_date_understanding\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ |
| : 0.736,\n \"acc_norm_stderr,none\": 0.027934518957690866\n },\n \"\ |
| leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ |
| ,\n \"acc_norm,none\": 0.696,\n \"acc_norm_stderr,none\": 0.029150213374159652\n\ |
| \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
| ,\n \"acc_norm,none\": 0.74,\n \"acc_norm_stderr,none\": 0.027797315752644335\n\ |
| \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
| ,\n \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\": 0.031563285061213475\n\ |
| \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ |
| ,\n \"acc_norm,none\": 0.82,\n \"acc_norm_stderr,none\": 0.02434689065029351\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ |
| : 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014505\n },\n \"\ |
| leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ |
| ,\n \"acc_norm,none\": 0.504,\n \"acc_norm_stderr,none\": 0.0316851985511992\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ |
| alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ |
| : 0.896,\n \"acc_norm_stderr,none\": 0.019345100974843932\n },\n \"\ |
| leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ |
| ,\n \"acc_norm,none\": 0.76,\n \"acc_norm_stderr,none\": 0.027065293652238982\n\ |
| \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ |
| ,\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ |
| \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
| ,\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028136\n\ |
| \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ |
| \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.7191780821917808,\n\ |
| \ \"acc_norm_stderr,none\": 0.037320694849458984\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ |
| ,\n \"acc_norm,none\": 0.82,\n \"acc_norm_stderr,none\": 0.02434689065029351\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ |
| ,\n \"acc_norm,none\": 0.896,\n \"acc_norm_stderr,none\": 0.019345100974843932\n\ |
| \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ |
| \ \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ |
| \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ |
| ,\n \"acc_norm,none\": 0.8370786516853933,\n \"acc_norm_stderr,none\"\ |
| : 0.02775782910660744\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ |
| \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ |
| : 0.772,\n \"acc_norm_stderr,none\": 0.026587432487268498\n },\n \"\ |
| leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ |
| ,\n \"acc_norm,none\": 0.996,\n \"acc_norm_stderr,none\": 0.004\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| ,\n \"acc_norm,none\": 0.3,\n \"acc_norm_stderr,none\": 0.029040893477575783\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| ,\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| ,\n \"acc_norm,none\": 0.4,\n \"acc_norm_stderr,none\": 0.031046021028253316\n\ |
| \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ |
| ,\n \"acc_norm,none\": 0.548,\n \"acc_norm_stderr,none\": 0.03153986449255664\n\ |
| \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3649328859060403,\n\ |
| \ \"acc_norm_stderr,none\": 0.013950783551311977,\n \"alias\": \"\ |
| \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ |
| alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.32323232323232326,\n\ |
| \ \"acc_norm_stderr,none\": 0.03332299921070644\n },\n \"leaderboard_gpqa_extended\"\ |
| : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ |
| : 0.3717948717948718,\n \"acc_norm_stderr,none\": 0.020701612980719604\n\ |
| \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
| ,\n \"acc_norm,none\": 0.375,\n \"acc_norm_stderr,none\": 0.02289822829522849\n\ |
| \ },\n \"leaderboard_ifeval\": {\n \"alias\": \" - leaderboard_ifeval\"\ |
| ,\n \"prompt_level_strict_acc,none\": 0.2088724584103512,\n \"prompt_level_strict_acc_stderr,none\"\ |
| : 0.017493107347793326,\n \"inst_level_strict_acc,none\": 0.34292565947242204,\n\ |
| \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ |
| : 0.21256931608133087,\n \"prompt_level_loose_acc_stderr,none\": 0.01760595448210665,\n\ |
| \ \"inst_level_loose_acc,none\": 0.3501199040767386,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\"\n },\n \"leaderboard_math_hard\": {\n \"exact_match,none\"\ |
| : 0.13972809667673716,\n \"exact_match_stderr,none\": 0.00922419672958792,\n\ |
| \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ |
| : {\n \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ |
| : 0.19543973941368079,\n \"exact_match_stderr,none\": 0.022668616386127674\n\ |
| \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ |
| \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ |
| : 0.21951219512195122,\n \"exact_match_stderr,none\": 0.0374742087608476\n\ |
| \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ |
| ,\n \"exact_match,none\": 0.045454545454545456,\n \"exact_match_stderr,none\"\ |
| : 0.018199158975632696\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
| : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ |
| \ \"exact_match,none\": 0.039285714285714285,\n \"exact_match_stderr,none\"\ |
| : 0.011630873964205717\n },\n \"leaderboard_math_num_theory_hard\": {\n \ |
| \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ |
| : 0.17532467532467533,\n \"exact_match_stderr,none\": 0.030740951540480968\n\ |
| \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
| ,\n \"exact_match,none\": 0.26424870466321243,\n \"exact_match_stderr,none\"\ |
| : 0.03182155050916644\n },\n \"leaderboard_math_precalculus_hard\": {\n \ |
| \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ |
| : 0.022222222222222223,\n \"exact_match_stderr,none\": 0.01273389971505968\n\ |
| \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ |
| ,\n \"acc,none\": 0.535405585106383,\n \"acc_stderr,none\": 0.004547027466022857\n\ |
| \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.43386243386243384,\n\ |
| \ \"acc_norm_stderr,none\": 0.017640843839955882,\n \"alias\": \"\ |
| \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ |
| \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ |
| : 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223569\n },\n \"leaderboard_musr_object_placements\"\ |
| : {\n \"alias\": \" - leaderboard_musr_object_placements\",\n \"\ |
| acc_norm,none\": 0.30078125,\n \"acc_norm_stderr,none\": 0.02871850463421181\n\ |
| \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
| ,\n \"acc_norm,none\": 0.444,\n \"acc_norm_stderr,none\": 0.03148684942554571\n\ |
| \ }\n}\n```" |
| repo_url: https://huggingface.co/Quazim0t0/Imagine-v0.5-16bit |
| leaderboard_url: '' |
| point_of_contact: '' |
| configs: |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_boolean_expressions |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_causal_judgement |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_date_understanding |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_disambiguation_qa |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_formal_fallacies |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_geometric_shapes |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_hyperbaton |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_logical_deduction_five_objects |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_logical_deduction_seven_objects |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_logical_deduction_three_objects |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_movie_recommendation |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_navigate |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_object_counting |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_penguins_in_a_table |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_reasoning_about_colored_objects |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_ruin_names |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_salient_translation_error_detection |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_snarks |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_sports_understanding |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_temporal_sequences |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_tracking_shuffled_objects_five_objects |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_tracking_shuffled_objects_three_objects |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_web_of_lies |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_gpqa_diamond |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_gpqa_extended |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_gpqa_main |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_gpqa_main_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_main_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_ifeval |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_ifeval_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_ifeval_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_math_algebra_hard |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_math_counting_and_prob_hard |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_math_geometry_hard |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_math_intermediate_algebra_hard |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_math_num_theory_hard |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_math_prealgebra_hard |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_math_precalculus_hard |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_mmlu_pro |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_musr_murder_mysteries |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_musr_object_placements |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2025-03-09T13-07-33.097475.jsonl' |
| - config_name: Quazim0t0__Imagine-v0.5-16bit__leaderboard_musr_team_allocation |
| data_files: |
| - split: 2025_03_09T13_07_33.097475 |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2025-03-09T13-07-33.097475.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2025-03-09T13-07-33.097475.jsonl' |
| --- |
| |
| # Dataset Card for Evaluation run of Quazim0t0/Imagine-v0.5-16bit |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| Dataset automatically created during the evaluation run of model [Quazim0t0/Imagine-v0.5-16bit](https://huggingface.co/Quazim0t0/Imagine-v0.5-16bit) |
| The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. |
|
|
| The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. |
|
|
| An additional configuration "results" store all the aggregated results of the run. |
|
|
| To load the details from a run, you can for instance do the following: |
| ```python |
| from datasets import load_dataset |
| data = load_dataset( |
| "open-llm-leaderboard/Quazim0t0__Imagine-v0.5-16bit-details", |
| name="Quazim0t0__Imagine-v0.5-16bit__leaderboard_bbh_boolean_expressions", |
| split="latest" |
| ) |
| ``` |
|
|
| ## Latest results |
|
|
| These are the [latest results from run 2025-03-09T13-07-33.097475](https://huggingface.co/datasets/open-llm-leaderboard/Quazim0t0__Imagine-v0.5-16bit-details/blob/main/Quazim0t0__Imagine-v0.5-16bit/results_2025-03-09T13-07-33.097475.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): |
|
|
| ```python |
| { |
| "all": { |
| "leaderboard": { |
| "prompt_level_loose_acc,none": 0.21256931608133087, |
| "prompt_level_loose_acc_stderr,none": 0.01760595448210665, |
| "inst_level_strict_acc,none": 0.34292565947242204, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "exact_match,none": 0.13972809667673716, |
| "exact_match_stderr,none": 0.00922419672958792, |
| "acc,none": 0.535405585106383, |
| "acc_stderr,none": 0.004547027466022857, |
| "prompt_level_strict_acc,none": 0.2088724584103512, |
| "prompt_level_strict_acc_stderr,none": 0.017493107347793326, |
| "inst_level_loose_acc,none": 0.3501199040767386, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "acc_norm,none": 0.6031910753664548, |
| "acc_norm_stderr,none": 0.005059970216671743, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.6747092518659955, |
| "acc_norm_stderr,none": 0.005670281951449082, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "alias": " - leaderboard_bbh_boolean_expressions", |
| "acc_norm,none": 0.916, |
| "acc_norm_stderr,none": 0.017578738526776348 |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "alias": " - leaderboard_bbh_causal_judgement", |
| "acc_norm,none": 0.6256684491978609, |
| "acc_norm_stderr,none": 0.0354849234134303 |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "alias": " - leaderboard_bbh_date_understanding", |
| "acc_norm,none": 0.736, |
| "acc_norm_stderr,none": 0.027934518957690866 |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "alias": " - leaderboard_bbh_disambiguation_qa", |
| "acc_norm,none": 0.696, |
| "acc_norm_stderr,none": 0.029150213374159652 |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "alias": " - leaderboard_bbh_formal_fallacies", |
| "acc_norm,none": 0.74, |
| "acc_norm_stderr,none": 0.027797315752644335 |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "alias": " - leaderboard_bbh_geometric_shapes", |
| "acc_norm,none": 0.456, |
| "acc_norm_stderr,none": 0.031563285061213475 |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "alias": " - leaderboard_bbh_hyperbaton", |
| "acc_norm,none": 0.82, |
| "acc_norm_stderr,none": 0.02434689065029351 |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects", |
| "acc_norm,none": 0.584, |
| "acc_norm_stderr,none": 0.031235856237014505 |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
| "acc_norm,none": 0.504, |
| "acc_norm_stderr,none": 0.0316851985511992 |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects", |
| "acc_norm,none": 0.896, |
| "acc_norm_stderr,none": 0.019345100974843932 |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "alias": " - leaderboard_bbh_movie_recommendation", |
| "acc_norm,none": 0.76, |
| "acc_norm_stderr,none": 0.027065293652238982 |
| }, |
| "leaderboard_bbh_navigate": { |
| "alias": " - leaderboard_bbh_navigate", |
| "acc_norm,none": 0.732, |
| "acc_norm_stderr,none": 0.02806876238252672 |
| }, |
| "leaderboard_bbh_object_counting": { |
| "alias": " - leaderboard_bbh_object_counting", |
| "acc_norm,none": 0.564, |
| "acc_norm_stderr,none": 0.03142556706028136 |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "alias": " - leaderboard_bbh_penguins_in_a_table", |
| "acc_norm,none": 0.7191780821917808, |
| "acc_norm_stderr,none": 0.037320694849458984 |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
| "acc_norm,none": 0.82, |
| "acc_norm_stderr,none": 0.02434689065029351 |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "alias": " - leaderboard_bbh_ruin_names", |
| "acc_norm,none": 0.896, |
| "acc_norm_stderr,none": 0.019345100974843932 |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "alias": " - leaderboard_bbh_salient_translation_error_detection", |
| "acc_norm,none": 0.6, |
| "acc_norm_stderr,none": 0.031046021028253316 |
| }, |
| "leaderboard_bbh_snarks": { |
| "alias": " - leaderboard_bbh_snarks", |
| "acc_norm,none": 0.8370786516853933, |
| "acc_norm_stderr,none": 0.02775782910660744 |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "alias": " - leaderboard_bbh_sports_understanding", |
| "acc_norm,none": 0.772, |
| "acc_norm_stderr,none": 0.026587432487268498 |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "alias": " - leaderboard_bbh_temporal_sequences", |
| "acc_norm,none": 0.996, |
| "acc_norm_stderr,none": 0.004 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
| "acc_norm,none": 0.3, |
| "acc_norm_stderr,none": 0.029040893477575783 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
| "acc_norm,none": 0.328, |
| "acc_norm_stderr,none": 0.029752391824475363 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
| "acc_norm,none": 0.4, |
| "acc_norm_stderr,none": 0.031046021028253316 |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "alias": " - leaderboard_bbh_web_of_lies", |
| "acc_norm,none": 0.548, |
| "acc_norm_stderr,none": 0.03153986449255664 |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.3649328859060403, |
| "acc_norm_stderr,none": 0.013950783551311977, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "alias": " - leaderboard_gpqa_diamond", |
| "acc_norm,none": 0.32323232323232326, |
| "acc_norm_stderr,none": 0.03332299921070644 |
| }, |
| "leaderboard_gpqa_extended": { |
| "alias": " - leaderboard_gpqa_extended", |
| "acc_norm,none": 0.3717948717948718, |
| "acc_norm_stderr,none": 0.020701612980719604 |
| }, |
| "leaderboard_gpqa_main": { |
| "alias": " - leaderboard_gpqa_main", |
| "acc_norm,none": 0.375, |
| "acc_norm_stderr,none": 0.02289822829522849 |
| }, |
| "leaderboard_ifeval": { |
| "alias": " - leaderboard_ifeval", |
| "prompt_level_strict_acc,none": 0.2088724584103512, |
| "prompt_level_strict_acc_stderr,none": 0.017493107347793326, |
| "inst_level_strict_acc,none": 0.34292565947242204, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.21256931608133087, |
| "prompt_level_loose_acc_stderr,none": 0.01760595448210665, |
| "inst_level_loose_acc,none": 0.3501199040767386, |
| "inst_level_loose_acc_stderr,none": "N/A" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.13972809667673716, |
| "exact_match_stderr,none": 0.00922419672958792, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "alias": " - leaderboard_math_algebra_hard", |
| "exact_match,none": 0.19543973941368079, |
| "exact_match_stderr,none": 0.022668616386127674 |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "alias": " - leaderboard_math_counting_and_prob_hard", |
| "exact_match,none": 0.21951219512195122, |
| "exact_match_stderr,none": 0.0374742087608476 |
| }, |
| "leaderboard_math_geometry_hard": { |
| "alias": " - leaderboard_math_geometry_hard", |
| "exact_match,none": 0.045454545454545456, |
| "exact_match_stderr,none": 0.018199158975632696 |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "alias": " - leaderboard_math_intermediate_algebra_hard", |
| "exact_match,none": 0.039285714285714285, |
| "exact_match_stderr,none": 0.011630873964205717 |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "alias": " - leaderboard_math_num_theory_hard", |
| "exact_match,none": 0.17532467532467533, |
| "exact_match_stderr,none": 0.030740951540480968 |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "alias": " - leaderboard_math_prealgebra_hard", |
| "exact_match,none": 0.26424870466321243, |
| "exact_match_stderr,none": 0.03182155050916644 |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "alias": " - leaderboard_math_precalculus_hard", |
| "exact_match,none": 0.022222222222222223, |
| "exact_match_stderr,none": 0.01273389971505968 |
| }, |
| "leaderboard_mmlu_pro": { |
| "alias": " - leaderboard_mmlu_pro", |
| "acc,none": 0.535405585106383, |
| "acc_stderr,none": 0.004547027466022857 |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.43386243386243384, |
| "acc_norm_stderr,none": 0.017640843839955882, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "alias": " - leaderboard_musr_murder_mysteries", |
| "acc_norm,none": 0.56, |
| "acc_norm_stderr,none": 0.03145724452223569 |
| }, |
| "leaderboard_musr_object_placements": { |
| "alias": " - leaderboard_musr_object_placements", |
| "acc_norm,none": 0.30078125, |
| "acc_norm_stderr,none": 0.02871850463421181 |
| }, |
| "leaderboard_musr_team_allocation": { |
| "alias": " - leaderboard_musr_team_allocation", |
| "acc_norm,none": 0.444, |
| "acc_norm_stderr,none": 0.03148684942554571 |
| } |
| }, |
| "leaderboard": { |
| "prompt_level_loose_acc,none": 0.21256931608133087, |
| "prompt_level_loose_acc_stderr,none": 0.01760595448210665, |
| "inst_level_strict_acc,none": 0.34292565947242204, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "exact_match,none": 0.13972809667673716, |
| "exact_match_stderr,none": 0.00922419672958792, |
| "acc,none": 0.535405585106383, |
| "acc_stderr,none": 0.004547027466022857, |
| "prompt_level_strict_acc,none": 0.2088724584103512, |
| "prompt_level_strict_acc_stderr,none": 0.017493107347793326, |
| "inst_level_loose_acc,none": 0.3501199040767386, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "acc_norm,none": 0.6031910753664548, |
| "acc_norm_stderr,none": 0.005059970216671743, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.6747092518659955, |
| "acc_norm_stderr,none": 0.005670281951449082, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "alias": " - leaderboard_bbh_boolean_expressions", |
| "acc_norm,none": 0.916, |
| "acc_norm_stderr,none": 0.017578738526776348 |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "alias": " - leaderboard_bbh_causal_judgement", |
| "acc_norm,none": 0.6256684491978609, |
| "acc_norm_stderr,none": 0.0354849234134303 |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "alias": " - leaderboard_bbh_date_understanding", |
| "acc_norm,none": 0.736, |
| "acc_norm_stderr,none": 0.027934518957690866 |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "alias": " - leaderboard_bbh_disambiguation_qa", |
| "acc_norm,none": 0.696, |
| "acc_norm_stderr,none": 0.029150213374159652 |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "alias": " - leaderboard_bbh_formal_fallacies", |
| "acc_norm,none": 0.74, |
| "acc_norm_stderr,none": 0.027797315752644335 |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "alias": " - leaderboard_bbh_geometric_shapes", |
| "acc_norm,none": 0.456, |
| "acc_norm_stderr,none": 0.031563285061213475 |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "alias": " - leaderboard_bbh_hyperbaton", |
| "acc_norm,none": 0.82, |
| "acc_norm_stderr,none": 0.02434689065029351 |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects", |
| "acc_norm,none": 0.584, |
| "acc_norm_stderr,none": 0.031235856237014505 |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
| "acc_norm,none": 0.504, |
| "acc_norm_stderr,none": 0.0316851985511992 |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects", |
| "acc_norm,none": 0.896, |
| "acc_norm_stderr,none": 0.019345100974843932 |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "alias": " - leaderboard_bbh_movie_recommendation", |
| "acc_norm,none": 0.76, |
| "acc_norm_stderr,none": 0.027065293652238982 |
| }, |
| "leaderboard_bbh_navigate": { |
| "alias": " - leaderboard_bbh_navigate", |
| "acc_norm,none": 0.732, |
| "acc_norm_stderr,none": 0.02806876238252672 |
| }, |
| "leaderboard_bbh_object_counting": { |
| "alias": " - leaderboard_bbh_object_counting", |
| "acc_norm,none": 0.564, |
| "acc_norm_stderr,none": 0.03142556706028136 |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "alias": " - leaderboard_bbh_penguins_in_a_table", |
| "acc_norm,none": 0.7191780821917808, |
| "acc_norm_stderr,none": 0.037320694849458984 |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
| "acc_norm,none": 0.82, |
| "acc_norm_stderr,none": 0.02434689065029351 |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "alias": " - leaderboard_bbh_ruin_names", |
| "acc_norm,none": 0.896, |
| "acc_norm_stderr,none": 0.019345100974843932 |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "alias": " - leaderboard_bbh_salient_translation_error_detection", |
| "acc_norm,none": 0.6, |
| "acc_norm_stderr,none": 0.031046021028253316 |
| }, |
| "leaderboard_bbh_snarks": { |
| "alias": " - leaderboard_bbh_snarks", |
| "acc_norm,none": 0.8370786516853933, |
| "acc_norm_stderr,none": 0.02775782910660744 |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "alias": " - leaderboard_bbh_sports_understanding", |
| "acc_norm,none": 0.772, |
| "acc_norm_stderr,none": 0.026587432487268498 |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "alias": " - leaderboard_bbh_temporal_sequences", |
| "acc_norm,none": 0.996, |
| "acc_norm_stderr,none": 0.004 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
| "acc_norm,none": 0.3, |
| "acc_norm_stderr,none": 0.029040893477575783 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
| "acc_norm,none": 0.328, |
| "acc_norm_stderr,none": 0.029752391824475363 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
| "acc_norm,none": 0.4, |
| "acc_norm_stderr,none": 0.031046021028253316 |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "alias": " - leaderboard_bbh_web_of_lies", |
| "acc_norm,none": 0.548, |
| "acc_norm_stderr,none": 0.03153986449255664 |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.3649328859060403, |
| "acc_norm_stderr,none": 0.013950783551311977, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "alias": " - leaderboard_gpqa_diamond", |
| "acc_norm,none": 0.32323232323232326, |
| "acc_norm_stderr,none": 0.03332299921070644 |
| }, |
| "leaderboard_gpqa_extended": { |
| "alias": " - leaderboard_gpqa_extended", |
| "acc_norm,none": 0.3717948717948718, |
| "acc_norm_stderr,none": 0.020701612980719604 |
| }, |
| "leaderboard_gpqa_main": { |
| "alias": " - leaderboard_gpqa_main", |
| "acc_norm,none": 0.375, |
| "acc_norm_stderr,none": 0.02289822829522849 |
| }, |
| "leaderboard_ifeval": { |
| "alias": " - leaderboard_ifeval", |
| "prompt_level_strict_acc,none": 0.2088724584103512, |
| "prompt_level_strict_acc_stderr,none": 0.017493107347793326, |
| "inst_level_strict_acc,none": 0.34292565947242204, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.21256931608133087, |
| "prompt_level_loose_acc_stderr,none": 0.01760595448210665, |
| "inst_level_loose_acc,none": 0.3501199040767386, |
| "inst_level_loose_acc_stderr,none": "N/A" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.13972809667673716, |
| "exact_match_stderr,none": 0.00922419672958792, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "alias": " - leaderboard_math_algebra_hard", |
| "exact_match,none": 0.19543973941368079, |
| "exact_match_stderr,none": 0.022668616386127674 |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "alias": " - leaderboard_math_counting_and_prob_hard", |
| "exact_match,none": 0.21951219512195122, |
| "exact_match_stderr,none": 0.0374742087608476 |
| }, |
| "leaderboard_math_geometry_hard": { |
| "alias": " - leaderboard_math_geometry_hard", |
| "exact_match,none": 0.045454545454545456, |
| "exact_match_stderr,none": 0.018199158975632696 |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "alias": " - leaderboard_math_intermediate_algebra_hard", |
| "exact_match,none": 0.039285714285714285, |
| "exact_match_stderr,none": 0.011630873964205717 |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "alias": " - leaderboard_math_num_theory_hard", |
| "exact_match,none": 0.17532467532467533, |
| "exact_match_stderr,none": 0.030740951540480968 |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "alias": " - leaderboard_math_prealgebra_hard", |
| "exact_match,none": 0.26424870466321243, |
| "exact_match_stderr,none": 0.03182155050916644 |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "alias": " - leaderboard_math_precalculus_hard", |
| "exact_match,none": 0.022222222222222223, |
| "exact_match_stderr,none": 0.01273389971505968 |
| }, |
| "leaderboard_mmlu_pro": { |
| "alias": " - leaderboard_mmlu_pro", |
| "acc,none": 0.535405585106383, |
| "acc_stderr,none": 0.004547027466022857 |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.43386243386243384, |
| "acc_norm_stderr,none": 0.017640843839955882, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "alias": " - leaderboard_musr_murder_mysteries", |
| "acc_norm,none": 0.56, |
| "acc_norm_stderr,none": 0.03145724452223569 |
| }, |
| "leaderboard_musr_object_placements": { |
| "alias": " - leaderboard_musr_object_placements", |
| "acc_norm,none": 0.30078125, |
| "acc_norm_stderr,none": 0.02871850463421181 |
| }, |
| "leaderboard_musr_team_allocation": { |
| "alias": " - leaderboard_musr_team_allocation", |
| "acc_norm,none": 0.444, |
| "acc_norm_stderr,none": 0.03148684942554571 |
| } |
| } |
| ``` |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| <!-- Provide a longer summary of what this dataset is. --> |
|
|
|
|
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| - **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] |
