| --- |
| pretty_name: Evaluation run of allenai/Llama-3.1-Tulu-3-8B-RM |
| dataset_summary: "Dataset automatically created during the evaluation run of model\ |
| \ [allenai/Llama-3.1-Tulu-3-8B-RM](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B-RM)\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/allenai__Llama-3.1-Tulu-3-8B-RM-details\"\ |
| ,\n\tname=\"allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_boolean_expressions\"\ |
| ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ |
| \ from run 2024-11-22T10-23-40.491308](https://huggingface.co/datasets/open-llm-leaderboard/allenai__Llama-3.1-Tulu-3-8B-RM-details/blob/main/allenai__Llama-3.1-Tulu-3-8B-RM/results_2024-11-22T10-23-40.491308.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\": 0.21942446043165467,\n \"\ |
| inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc,none\": 0.10821143617021277,\n\ |
| \ \"acc_stderr,none\": 0.002832152707372059,\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"prompt_level_loose_acc,none\"\ |
| : 0.133086876155268,\n \"prompt_level_loose_acc_stderr,none\": 0.014617009342904459,\n\ |
| \ \"prompt_level_strict_acc,none\": 0.11460258780036968,\n \ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.013707853566060982,\n \"\ |
| inst_level_loose_acc,none\": 0.2482014388489209,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\",\n \"acc_norm,none\": 0.2952393306524841,\n \"acc_norm_stderr,none\"\ |
| : 0.004949497634417937,\n \"alias\": \"leaderboard\"\n },\n \ |
| \ \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.292657524735289,\n\ |
| \ \"acc_norm_stderr,none\": 0.005643204306302065,\n \"alias\"\ |
| : \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \ |
| \ \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ |
| \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_causal_judgement\",\n \"acc_norm,none\": 0.5187165775401069,\n\ |
| \ \"acc_norm_stderr,none\": 0.03663608375537843\n },\n \ |
| \ \"leaderboard_bbh_date_understanding\": {\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ |
| ,\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\":\ |
| \ 0.02721799546455311\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\",\n \ |
| \ \"acc_norm,none\": 0.312,\n \"acc_norm_stderr,none\": 0.02936106757521985\n\ |
| \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_formal_fallacies\",\n \"acc_norm,none\": 0.5,\n\ |
| \ \"acc_norm_stderr,none\": 0.031686212526223896\n },\n \ |
| \ \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
| ,\n \"acc_norm,none\": 0.084,\n \"acc_norm_stderr,none\":\ |
| \ 0.017578738526776348\n },\n \"leaderboard_bbh_hyperbaton\": {\n\ |
| \ \"alias\": \" - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\"\ |
| : 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n },\n\ |
| \ \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ |
| : 0.22,\n \"acc_norm_stderr,none\": 0.026251792824605793\n },\n\ |
| \ \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"\ |
| alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\",\n \"\ |
| acc_norm,none\": 0.164,\n \"acc_norm_stderr,none\": 0.02346526100207671\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n\ |
| \ \"acc_norm,none\": 0.276,\n \"acc_norm_stderr,none\": 0.02832853727421142\n\ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
| alias\": \" - leaderboard_bbh_movie_recommendation\",\n \"acc_norm,none\"\ |
| : 0.256,\n \"acc_norm_stderr,none\": 0.027657108718204846\n },\n\ |
| \ \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ |
| ,\n \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ |
| \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_object_counting\",\n \"acc_norm,none\": 0.04,\n\ |
| \ \"acc_norm_stderr,none\": 0.012418408411301325\n },\n \ |
| \ \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ |
| ,\n \"acc_norm,none\": 0.11643835616438356,\n \"acc_norm_stderr,none\"\ |
| : 0.026636825090156375\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ |
| ,\n \"acc_norm,none\": 0.024,\n \"acc_norm_stderr,none\":\ |
| \ 0.009699087026964266\n },\n \"leaderboard_bbh_ruin_names\": {\n\ |
| \ \"alias\": \" - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\"\ |
| : 0.316,\n \"acc_norm_stderr,none\": 0.029462657598578648\n },\n\ |
| \ \"leaderboard_bbh_salient_translation_error_detection\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ |
| \ \"acc_norm,none\": 0.172,\n \"acc_norm_stderr,none\": 0.02391551394448624\n\ |
| \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" -\ |
| \ leaderboard_bbh_snarks\",\n \"acc_norm,none\": 0.5449438202247191,\n\ |
| \ \"acc_norm_stderr,none\": 0.03743016495716991\n },\n \ |
| \ \"leaderboard_bbh_sports_understanding\": {\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ |
| ,\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ |
| \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.264,\n\ |
| \ \"acc_norm_stderr,none\": 0.027934518957690866\n },\n \ |
| \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ |
| alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ |
| \ \"acc_norm,none\": 0.192,\n \"acc_norm_stderr,none\": 0.024960691989171963\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| ,\n \"acc_norm,none\": 0.152,\n \"acc_norm_stderr,none\":\ |
| \ 0.022752024491765464\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| ,\n \"acc_norm,none\": 0.336,\n \"acc_norm_stderr,none\":\ |
| \ 0.02993325909419153\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ |
| \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ |
| : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n },\n\ |
| \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.25671140939597314,\n\ |
| \ \"acc_norm_stderr,none\": 0.01266473610784101,\n \"alias\"\ |
| : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ |
| \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ |
| : 0.2777777777777778,\n \"acc_norm_stderr,none\": 0.03191178226713548\n\ |
| \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ |
| \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.2490842490842491,\n\ |
| \ \"acc_norm_stderr,none\": 0.01852552347648428\n },\n \ |
| \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
| ,\n \"acc_norm,none\": 0.25669642857142855,\n \"acc_norm_stderr,none\"\ |
| : 0.020660425491724744\n },\n \"leaderboard_ifeval\": {\n \ |
| \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ |
| : 0.11460258780036968,\n \"prompt_level_strict_acc_stderr,none\": 0.013707853566060982,\n\ |
| \ \"inst_level_strict_acc,none\": 0.21942446043165467,\n \"\ |
| inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ |
| : 0.133086876155268,\n \"prompt_level_loose_acc_stderr,none\": 0.014617009342904457,\n\ |
| \ \"inst_level_loose_acc,none\": 0.24820143884892087,\n \"\ |
| inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0,\n \"alias\": \" - leaderboard_math_hard\"\n },\n \ |
| \ \"leaderboard_math_algebra_hard\": {\n \"alias\": \" - leaderboard_math_algebra_hard\"\ |
| ,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0\n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ |
| \ \"alias\": \" - leaderboard_math_counting_and_prob_hard\",\n \ |
| \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n \ |
| \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ |
| : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.0,\n\ |
| \ \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
| : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n\ |
| \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0\n },\n \"leaderboard_math_num_theory_hard\": {\n \ |
| \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_prealgebra_hard\"\ |
| : {\n \"alias\": \" - leaderboard_math_prealgebra_hard\",\n \ |
| \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ |
| \ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\"\ |
| : \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\":\ |
| \ 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_mmlu_pro\"\ |
| : {\n \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\"\ |
| : 0.10821143617021277,\n \"acc_stderr,none\": 0.002832152707372059\n\ |
| \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.37566137566137564,\n\ |
| \ \"acc_norm_stderr,none\": 0.01729785637217539,\n \"alias\"\ |
| : \" - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\"\ |
| : {\n \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \ |
| \ \"acc_norm,none\": 0.508,\n \"acc_norm_stderr,none\": 0.03168215643141386\n\ |
| \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\"\ |
| : \" - leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.28125,\n\ |
| \ \"acc_norm_stderr,none\": 0.028155620586096754\n },\n \ |
| \ \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
| ,\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n\ |
| \ }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ |
| : 0.21942446043165467,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ |
| \ \"acc,none\": 0.10821143617021277,\n \"acc_stderr,none\": 0.002832152707372059,\n\ |
| \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ |
| \ \"prompt_level_loose_acc,none\": 0.133086876155268,\n \"prompt_level_loose_acc_stderr,none\"\ |
| : 0.014617009342904459,\n \"prompt_level_strict_acc,none\": 0.11460258780036968,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.013707853566060982,\n \ |
| \ \"inst_level_loose_acc,none\": 0.2482014388489209,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\",\n \"acc_norm,none\": 0.2952393306524841,\n \"acc_norm_stderr,none\"\ |
| : 0.004949497634417937,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ |
| : {\n \"acc_norm,none\": 0.292657524735289,\n \"acc_norm_stderr,none\"\ |
| : 0.005643204306302065,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ |
| \ \"leaderboard_bbh_boolean_expressions\": {\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ |
| ,\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n\ |
| \ },\n \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ |
| ,\n \"acc_norm,none\": 0.5187165775401069,\n \"acc_norm_stderr,none\"\ |
| : 0.03663608375537843\n },\n \"leaderboard_bbh_date_understanding\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ |
| : 0.244,\n \"acc_norm_stderr,none\": 0.02721799546455311\n },\n \"\ |
| leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ |
| ,\n \"acc_norm,none\": 0.312,\n \"acc_norm_stderr,none\": 0.02936106757521985\n\ |
| \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
| ,\n \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896\n\ |
| \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
| ,\n \"acc_norm,none\": 0.084,\n \"acc_norm_stderr,none\": 0.017578738526776348\n\ |
| \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ |
| ,\n \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ |
| : 0.22,\n \"acc_norm_stderr,none\": 0.026251792824605793\n },\n \"\ |
| leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ |
| ,\n \"acc_norm,none\": 0.164,\n \"acc_norm_stderr,none\": 0.02346526100207671\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ |
| alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ |
| : 0.276,\n \"acc_norm_stderr,none\": 0.02832853727421142\n },\n \"\ |
| leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ |
| ,\n \"acc_norm,none\": 0.256,\n \"acc_norm_stderr,none\": 0.027657108718204846\n\ |
| \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ |
| ,\n \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661\n\ |
| \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
| ,\n \"acc_norm,none\": 0.04,\n \"acc_norm_stderr,none\": 0.012418408411301325\n\ |
| \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ |
| \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.11643835616438356,\n\ |
| \ \"acc_norm_stderr,none\": 0.026636825090156375\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ |
| ,\n \"acc_norm,none\": 0.024,\n \"acc_norm_stderr,none\": 0.009699087026964266\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ |
| ,\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\": 0.029462657598578648\n\ |
| \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ |
| \ \"acc_norm,none\": 0.172,\n \"acc_norm_stderr,none\": 0.02391551394448624\n\ |
| \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ |
| ,\n \"acc_norm,none\": 0.5449438202247191,\n \"acc_norm_stderr,none\"\ |
| : 0.03743016495716991\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ |
| \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ |
| : 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004\n },\n \"\ |
| leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ |
| ,\n \"acc_norm,none\": 0.264,\n \"acc_norm_stderr,none\": 0.027934518957690866\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| ,\n \"acc_norm,none\": 0.192,\n \"acc_norm_stderr,none\": 0.024960691989171963\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| ,\n \"acc_norm,none\": 0.152,\n \"acc_norm_stderr,none\": 0.022752024491765464\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| ,\n \"acc_norm,none\": 0.336,\n \"acc_norm_stderr,none\": 0.02993325909419153\n\ |
| \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ |
| ,\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ |
| \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.25671140939597314,\n\ |
| \ \"acc_norm_stderr,none\": 0.01266473610784101,\n \"alias\": \" -\ |
| \ leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"alias\"\ |
| : \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.2777777777777778,\n\ |
| \ \"acc_norm_stderr,none\": 0.03191178226713548\n },\n \"leaderboard_gpqa_extended\"\ |
| : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ |
| : 0.2490842490842491,\n \"acc_norm_stderr,none\": 0.01852552347648428\n \ |
| \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
| ,\n \"acc_norm,none\": 0.25669642857142855,\n \"acc_norm_stderr,none\"\ |
| : 0.020660425491724744\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ |
| : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.11460258780036968,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.013707853566060982,\n \ |
| \ \"inst_level_strict_acc,none\": 0.21942446043165467,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.133086876155268,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.014617009342904457,\n \"inst_level_loose_acc,none\"\ |
| : 0.24820143884892087,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n\ |
| \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.0,\n\ |
| \ \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_hard\"\ |
| \n },\n \"leaderboard_math_algebra_hard\": {\n \"alias\": \" - leaderboard_math_algebra_hard\"\ |
| ,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ |
| \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ |
| \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_geometry_hard\"\ |
| : {\n \"alias\": \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
| : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ |
| \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n \ |
| \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ |
| ,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ |
| \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
| ,\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0\n\ |
| \ },\n \"leaderboard_math_precalculus_hard\": {\n \"alias\": \" -\ |
| \ leaderboard_math_precalculus_hard\",\n \"exact_match,none\": 0.0,\n \ |
| \ \"exact_match_stderr,none\": 0.0\n },\n \"leaderboard_mmlu_pro\": {\n\ |
| \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.10821143617021277,\n\ |
| \ \"acc_stderr,none\": 0.002832152707372059\n },\n \"leaderboard_musr\"\ |
| : {\n \"acc_norm,none\": 0.37566137566137564,\n \"acc_norm_stderr,none\"\ |
| : 0.01729785637217539,\n \"alias\": \" - leaderboard_musr\"\n },\n \ |
| \ \"leaderboard_musr_murder_mysteries\": {\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ |
| ,\n \"acc_norm,none\": 0.508,\n \"acc_norm_stderr,none\": 0.03168215643141386\n\ |
| \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\": \" -\ |
| \ leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.28125,\n \ |
| \ \"acc_norm_stderr,none\": 0.028155620586096754\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"alias\": \" - leaderboard_musr_team_allocation\",\n \"acc_norm,none\"\ |
| : 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457873\n }\n}\n```" |
| repo_url: https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B-RM |
| leaderboard_url: '' |
| point_of_contact: '' |
| configs: |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_boolean_expressions |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_causal_judgement |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_date_understanding |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_disambiguation_qa |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_formal_fallacies |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_geometric_shapes |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_hyperbaton |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_logical_deduction_five_objects |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_logical_deduction_seven_objects |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_logical_deduction_three_objects |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_movie_recommendation |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_navigate |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_object_counting |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_penguins_in_a_table |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_reasoning_about_colored_objects |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_ruin_names |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_salient_translation_error_detection |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_snarks |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_sports_understanding |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_temporal_sequences |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_tracking_shuffled_objects_five_objects |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_tracking_shuffled_objects_three_objects |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_web_of_lies |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_gpqa_diamond |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_gpqa_extended |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_gpqa_main |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_ifeval |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_ifeval_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_ifeval_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_math_algebra_hard |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_math_counting_and_prob_hard |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_math_geometry_hard |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_math_intermediate_algebra_hard |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_math_num_theory_hard |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_math_prealgebra_hard |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_math_precalculus_hard |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_mmlu_pro |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_musr_murder_mysteries |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_musr_object_placements |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-11-22T10-23-40.491308.jsonl' |
| - config_name: allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_musr_team_allocation |
| data_files: |
| - split: 2024_11_22T10_23_40.491308 |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-11-22T10-23-40.491308.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-11-22T10-23-40.491308.jsonl' |
| --- |
| |
| # Dataset Card for Evaluation run of allenai/Llama-3.1-Tulu-3-8B-RM |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| Dataset automatically created during the evaluation run of model [allenai/Llama-3.1-Tulu-3-8B-RM](https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B-RM) |
| 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/allenai__Llama-3.1-Tulu-3-8B-RM-details", |
| name="allenai__Llama-3.1-Tulu-3-8B-RM__leaderboard_bbh_boolean_expressions", |
| split="latest" |
| ) |
| ``` |
|
|
| ## Latest results |
|
|
| These are the [latest results from run 2024-11-22T10-23-40.491308](https://huggingface.co/datasets/open-llm-leaderboard/allenai__Llama-3.1-Tulu-3-8B-RM-details/blob/main/allenai__Llama-3.1-Tulu-3-8B-RM/results_2024-11-22T10-23-40.491308.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": 0.21942446043165467, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "acc,none": 0.10821143617021277, |
| "acc_stderr,none": 0.002832152707372059, |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "prompt_level_loose_acc,none": 0.133086876155268, |
| "prompt_level_loose_acc_stderr,none": 0.014617009342904459, |
| "prompt_level_strict_acc,none": 0.11460258780036968, |
| "prompt_level_strict_acc_stderr,none": 0.013707853566060982, |
| "inst_level_loose_acc,none": 0.2482014388489209, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "acc_norm,none": 0.2952393306524841, |
| "acc_norm_stderr,none": 0.004949497634417937, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.292657524735289, |
| "acc_norm_stderr,none": 0.005643204306302065, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "alias": " - leaderboard_bbh_boolean_expressions", |
| "acc_norm,none": 0.46, |
| "acc_norm_stderr,none": 0.031584653891499004 |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "alias": " - leaderboard_bbh_causal_judgement", |
| "acc_norm,none": 0.5187165775401069, |
| "acc_norm_stderr,none": 0.03663608375537843 |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "alias": " - leaderboard_bbh_date_understanding", |
| "acc_norm,none": 0.244, |
| "acc_norm_stderr,none": 0.02721799546455311 |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "alias": " - leaderboard_bbh_disambiguation_qa", |
| "acc_norm,none": 0.312, |
| "acc_norm_stderr,none": 0.02936106757521985 |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "alias": " - leaderboard_bbh_formal_fallacies", |
| "acc_norm,none": 0.5, |
| "acc_norm_stderr,none": 0.031686212526223896 |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "alias": " - leaderboard_bbh_geometric_shapes", |
| "acc_norm,none": 0.084, |
| "acc_norm_stderr,none": 0.017578738526776348 |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "alias": " - leaderboard_bbh_hyperbaton", |
| "acc_norm,none": 0.52, |
| "acc_norm_stderr,none": 0.03166085340849512 |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects", |
| "acc_norm,none": 0.22, |
| "acc_norm_stderr,none": 0.026251792824605793 |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
| "acc_norm,none": 0.164, |
| "acc_norm_stderr,none": 0.02346526100207671 |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects", |
| "acc_norm,none": 0.276, |
| "acc_norm_stderr,none": 0.02832853727421142 |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "alias": " - leaderboard_bbh_movie_recommendation", |
| "acc_norm,none": 0.256, |
| "acc_norm_stderr,none": 0.027657108718204846 |
| }, |
| "leaderboard_bbh_navigate": { |
| "alias": " - leaderboard_bbh_navigate", |
| "acc_norm,none": 0.42, |
| "acc_norm_stderr,none": 0.03127799950463661 |
| }, |
| "leaderboard_bbh_object_counting": { |
| "alias": " - leaderboard_bbh_object_counting", |
| "acc_norm,none": 0.04, |
| "acc_norm_stderr,none": 0.012418408411301325 |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "alias": " - leaderboard_bbh_penguins_in_a_table", |
| "acc_norm,none": 0.11643835616438356, |
| "acc_norm_stderr,none": 0.026636825090156375 |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
| "acc_norm,none": 0.024, |
| "acc_norm_stderr,none": 0.009699087026964266 |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "alias": " - leaderboard_bbh_ruin_names", |
| "acc_norm,none": 0.316, |
| "acc_norm_stderr,none": 0.029462657598578648 |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "alias": " - leaderboard_bbh_salient_translation_error_detection", |
| "acc_norm,none": 0.172, |
| "acc_norm_stderr,none": 0.02391551394448624 |
| }, |
| "leaderboard_bbh_snarks": { |
| "alias": " - leaderboard_bbh_snarks", |
| "acc_norm,none": 0.5449438202247191, |
| "acc_norm_stderr,none": 0.03743016495716991 |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "alias": " - leaderboard_bbh_sports_understanding", |
| "acc_norm,none": 0.46, |
| "acc_norm_stderr,none": 0.031584653891499004 |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "alias": " - leaderboard_bbh_temporal_sequences", |
| "acc_norm,none": 0.264, |
| "acc_norm_stderr,none": 0.027934518957690866 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
| "acc_norm,none": 0.192, |
| "acc_norm_stderr,none": 0.024960691989171963 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
| "acc_norm,none": 0.152, |
| "acc_norm_stderr,none": 0.022752024491765464 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
| "acc_norm,none": 0.336, |
| "acc_norm_stderr,none": 0.02993325909419153 |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "alias": " - leaderboard_bbh_web_of_lies", |
| "acc_norm,none": 0.488, |
| "acc_norm_stderr,none": 0.03167708558254714 |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.25671140939597314, |
| "acc_norm_stderr,none": 0.01266473610784101, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "alias": " - leaderboard_gpqa_diamond", |
| "acc_norm,none": 0.2777777777777778, |
| "acc_norm_stderr,none": 0.03191178226713548 |
| }, |
| "leaderboard_gpqa_extended": { |
| "alias": " - leaderboard_gpqa_extended", |
| "acc_norm,none": 0.2490842490842491, |
| "acc_norm_stderr,none": 0.01852552347648428 |
| }, |
| "leaderboard_gpqa_main": { |
| "alias": " - leaderboard_gpqa_main", |
| "acc_norm,none": 0.25669642857142855, |
| "acc_norm_stderr,none": 0.020660425491724744 |
| }, |
| "leaderboard_ifeval": { |
| "alias": " - leaderboard_ifeval", |
| "prompt_level_strict_acc,none": 0.11460258780036968, |
| "prompt_level_strict_acc_stderr,none": 0.013707853566060982, |
| "inst_level_strict_acc,none": 0.21942446043165467, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.133086876155268, |
| "prompt_level_loose_acc_stderr,none": 0.014617009342904457, |
| "inst_level_loose_acc,none": 0.24820143884892087, |
| "inst_level_loose_acc_stderr,none": "N/A" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "alias": " - leaderboard_math_algebra_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "alias": " - leaderboard_math_counting_and_prob_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_geometry_hard": { |
| "alias": " - leaderboard_math_geometry_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "alias": " - leaderboard_math_intermediate_algebra_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "alias": " - leaderboard_math_num_theory_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "alias": " - leaderboard_math_prealgebra_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "alias": " - leaderboard_math_precalculus_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_mmlu_pro": { |
| "alias": " - leaderboard_mmlu_pro", |
| "acc,none": 0.10821143617021277, |
| "acc_stderr,none": 0.002832152707372059 |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.37566137566137564, |
| "acc_norm_stderr,none": 0.01729785637217539, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "alias": " - leaderboard_musr_murder_mysteries", |
| "acc_norm,none": 0.508, |
| "acc_norm_stderr,none": 0.03168215643141386 |
| }, |
| "leaderboard_musr_object_placements": { |
| "alias": " - leaderboard_musr_object_placements", |
| "acc_norm,none": 0.28125, |
| "acc_norm_stderr,none": 0.028155620586096754 |
| }, |
| "leaderboard_musr_team_allocation": { |
| "alias": " - leaderboard_musr_team_allocation", |
| "acc_norm,none": 0.34, |
| "acc_norm_stderr,none": 0.030020073605457873 |
| } |
| }, |
| "leaderboard": { |
| "inst_level_strict_acc,none": 0.21942446043165467, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "acc,none": 0.10821143617021277, |
| "acc_stderr,none": 0.002832152707372059, |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "prompt_level_loose_acc,none": 0.133086876155268, |
| "prompt_level_loose_acc_stderr,none": 0.014617009342904459, |
| "prompt_level_strict_acc,none": 0.11460258780036968, |
| "prompt_level_strict_acc_stderr,none": 0.013707853566060982, |
| "inst_level_loose_acc,none": 0.2482014388489209, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "acc_norm,none": 0.2952393306524841, |
| "acc_norm_stderr,none": 0.004949497634417937, |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.292657524735289, |
| "acc_norm_stderr,none": 0.005643204306302065, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "alias": " - leaderboard_bbh_boolean_expressions", |
| "acc_norm,none": 0.46, |
| "acc_norm_stderr,none": 0.031584653891499004 |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "alias": " - leaderboard_bbh_causal_judgement", |
| "acc_norm,none": 0.5187165775401069, |
| "acc_norm_stderr,none": 0.03663608375537843 |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "alias": " - leaderboard_bbh_date_understanding", |
| "acc_norm,none": 0.244, |
| "acc_norm_stderr,none": 0.02721799546455311 |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "alias": " - leaderboard_bbh_disambiguation_qa", |
| "acc_norm,none": 0.312, |
| "acc_norm_stderr,none": 0.02936106757521985 |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "alias": " - leaderboard_bbh_formal_fallacies", |
| "acc_norm,none": 0.5, |
| "acc_norm_stderr,none": 0.031686212526223896 |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "alias": " - leaderboard_bbh_geometric_shapes", |
| "acc_norm,none": 0.084, |
| "acc_norm_stderr,none": 0.017578738526776348 |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "alias": " - leaderboard_bbh_hyperbaton", |
| "acc_norm,none": 0.52, |
| "acc_norm_stderr,none": 0.03166085340849512 |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects", |
| "acc_norm,none": 0.22, |
| "acc_norm_stderr,none": 0.026251792824605793 |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
| "acc_norm,none": 0.164, |
| "acc_norm_stderr,none": 0.02346526100207671 |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects", |
| "acc_norm,none": 0.276, |
| "acc_norm_stderr,none": 0.02832853727421142 |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "alias": " - leaderboard_bbh_movie_recommendation", |
| "acc_norm,none": 0.256, |
| "acc_norm_stderr,none": 0.027657108718204846 |
| }, |
| "leaderboard_bbh_navigate": { |
| "alias": " - leaderboard_bbh_navigate", |
| "acc_norm,none": 0.42, |
| "acc_norm_stderr,none": 0.03127799950463661 |
| }, |
| "leaderboard_bbh_object_counting": { |
| "alias": " - leaderboard_bbh_object_counting", |
| "acc_norm,none": 0.04, |
| "acc_norm_stderr,none": 0.012418408411301325 |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "alias": " - leaderboard_bbh_penguins_in_a_table", |
| "acc_norm,none": 0.11643835616438356, |
| "acc_norm_stderr,none": 0.026636825090156375 |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
| "acc_norm,none": 0.024, |
| "acc_norm_stderr,none": 0.009699087026964266 |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "alias": " - leaderboard_bbh_ruin_names", |
| "acc_norm,none": 0.316, |
| "acc_norm_stderr,none": 0.029462657598578648 |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "alias": " - leaderboard_bbh_salient_translation_error_detection", |
| "acc_norm,none": 0.172, |
| "acc_norm_stderr,none": 0.02391551394448624 |
| }, |
| "leaderboard_bbh_snarks": { |
| "alias": " - leaderboard_bbh_snarks", |
| "acc_norm,none": 0.5449438202247191, |
| "acc_norm_stderr,none": 0.03743016495716991 |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "alias": " - leaderboard_bbh_sports_understanding", |
| "acc_norm,none": 0.46, |
| "acc_norm_stderr,none": 0.031584653891499004 |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "alias": " - leaderboard_bbh_temporal_sequences", |
| "acc_norm,none": 0.264, |
| "acc_norm_stderr,none": 0.027934518957690866 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
| "acc_norm,none": 0.192, |
| "acc_norm_stderr,none": 0.024960691989171963 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
| "acc_norm,none": 0.152, |
| "acc_norm_stderr,none": 0.022752024491765464 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
| "acc_norm,none": 0.336, |
| "acc_norm_stderr,none": 0.02993325909419153 |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "alias": " - leaderboard_bbh_web_of_lies", |
| "acc_norm,none": 0.488, |
| "acc_norm_stderr,none": 0.03167708558254714 |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.25671140939597314, |
| "acc_norm_stderr,none": 0.01266473610784101, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "alias": " - leaderboard_gpqa_diamond", |
| "acc_norm,none": 0.2777777777777778, |
| "acc_norm_stderr,none": 0.03191178226713548 |
| }, |
| "leaderboard_gpqa_extended": { |
| "alias": " - leaderboard_gpqa_extended", |
| "acc_norm,none": 0.2490842490842491, |
| "acc_norm_stderr,none": 0.01852552347648428 |
| }, |
| "leaderboard_gpqa_main": { |
| "alias": " - leaderboard_gpqa_main", |
| "acc_norm,none": 0.25669642857142855, |
| "acc_norm_stderr,none": 0.020660425491724744 |
| }, |
| "leaderboard_ifeval": { |
| "alias": " - leaderboard_ifeval", |
| "prompt_level_strict_acc,none": 0.11460258780036968, |
| "prompt_level_strict_acc_stderr,none": 0.013707853566060982, |
| "inst_level_strict_acc,none": 0.21942446043165467, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.133086876155268, |
| "prompt_level_loose_acc_stderr,none": 0.014617009342904457, |
| "inst_level_loose_acc,none": 0.24820143884892087, |
| "inst_level_loose_acc_stderr,none": "N/A" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "alias": " - leaderboard_math_algebra_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "alias": " - leaderboard_math_counting_and_prob_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_geometry_hard": { |
| "alias": " - leaderboard_math_geometry_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "alias": " - leaderboard_math_intermediate_algebra_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "alias": " - leaderboard_math_num_theory_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "alias": " - leaderboard_math_prealgebra_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "alias": " - leaderboard_math_precalculus_hard", |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0 |
| }, |
| "leaderboard_mmlu_pro": { |
| "alias": " - leaderboard_mmlu_pro", |
| "acc,none": 0.10821143617021277, |
| "acc_stderr,none": 0.002832152707372059 |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.37566137566137564, |
| "acc_norm_stderr,none": 0.01729785637217539, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "alias": " - leaderboard_musr_murder_mysteries", |
| "acc_norm,none": 0.508, |
| "acc_norm_stderr,none": 0.03168215643141386 |
| }, |
| "leaderboard_musr_object_placements": { |
| "alias": " - leaderboard_musr_object_placements", |
| "acc_norm,none": 0.28125, |
| "acc_norm_stderr,none": 0.028155620586096754 |
| }, |
| "leaderboard_musr_team_allocation": { |
| "alias": " - leaderboard_musr_team_allocation", |
| "acc_norm,none": 0.34, |
| "acc_norm_stderr,none": 0.030020073605457873 |
| } |
| } |
| ``` |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| <!-- Provide a longer summary of what this dataset is. --> |
|
|
|
|
|
|
| - **Curated by:** [More Information Needed] |
| - **Funded by [optional]:** [More Information Needed] |
| - **Shared by [optional]:** [More Information Needed] |
| - **Language(s) (NLP):** [More Information Needed] |
| - **License:** [More Information Needed] |
|
|
| ### Dataset Sources [optional] |
|
|
| <!-- Provide the basic links for the dataset. --> |
|
|
| - **Repository:** [More Information Needed] |
| - **Paper [optional]:** [More Information Needed] |
| - **Demo [optional]:** [More Information Needed] |
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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] |
