| --- |
| pretty_name: Evaluation run of Mxode/NanoLM-0.3B-Instruct-v1.1 |
| dataset_summary: "Dataset automatically created during the evaluation run of model\ |
| \ [Mxode/NanoLM-0.3B-Instruct-v1.1](https://huggingface.co/Mxode/NanoLM-0.3B-Instruct-v1.1)\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/Mxode__NanoLM-0.3B-Instruct-v1.1-details\"\ |
| ,\n\tname=\"Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_boolean_expressions\"\ |
| ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ |
| \ from run 2024-09-14T01-38-52.367554](https://huggingface.co/datasets/open-llm-leaderboard/Mxode__NanoLM-0.3B-Instruct-v1.1-details/blob/main/Mxode__NanoLM-0.3B-Instruct-v1.1/results_2024-09-14T01-38-52.367554.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\ |
| \ \"acc_norm,none\": 0.30354131534569984,\n \"acc_norm_stderr,none\"\ |
| : 0.004933178143476609,\n \"inst_level_strict_acc,none\": 0.2290167865707434,\n\ |
| \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ |
| : 0.1367837338262477,\n \"prompt_level_loose_acc_stderr,none\": 0.01478700280068285,\n\ |
| \ \"exact_match,none\": 0.006797583081570997,\n \"exact_match_stderr,none\"\ |
| : 0.002248139817001711,\n \"acc,none\": 0.11211768617021277,\n \ |
| \ \"acc_stderr,none\": 0.002876496847447866,\n \"prompt_level_strict_acc,none\"\ |
| : 0.12754158964879853,\n \"prompt_level_strict_acc_stderr,none\": 0.01435494059733677,\n\ |
| \ \"inst_level_loose_acc,none\": 0.2482014388489209,\n \"\ |
| inst_level_loose_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ |
| \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.2985592779031418,\n\ |
| \ \"acc_norm_stderr,none\": 0.005621916337225147,\n \"alias\"\ |
| : \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ |
| : {\n \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\"\ |
| : 0.03167708558254709,\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ |
| \n },\n \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\"\ |
| : 0.5187165775401069,\n \"acc_norm_stderr,none\": 0.03663608375537842,\n\ |
| \ \"alias\": \" - leaderboard_bbh_causal_judgement\"\n },\n \ |
| \ \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ |
| : 0.152,\n \"acc_norm_stderr,none\": 0.02275202449176547,\n \ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"\ |
| leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\": 0.304,\n\ |
| \ \"acc_norm_stderr,none\": 0.029150213374159673,\n \"alias\"\ |
| : \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
| : {\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\"\ |
| : 0.031621252575725504,\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
| \n },\n \"leaderboard_bbh_geometric_shapes\": {\n \"acc_norm,none\"\ |
| : 0.032,\n \"acc_norm_stderr,none\": 0.01115354680923082,\n \ |
| \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"\ |
| leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\": 0.52,\n \ |
| \ \"acc_norm_stderr,none\": 0.031660853408495185,\n \"alias\": \"\ |
| \ - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\"\ |
| : 0.0236928132054926,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
| \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.152,\n \"acc_norm_stderr,none\": 0.022752024491765464,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.02956172495524103,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ |
| acc_norm,none\": 0.276,\n \"acc_norm_stderr,none\": 0.028328537274211352,\n\ |
| \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ |
| \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.58,\n\ |
| \ \"acc_norm_stderr,none\": 0.03127799950463661,\n \"alias\"\ |
| : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.068,\n \"acc_norm_stderr,none\"\ |
| : 0.01595374841074702,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
| \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
| acc_norm,none\": 0.2191780821917808,\n \"acc_norm_stderr,none\": 0.03435504786264927,\n\ |
| \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ |
| \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.128,\n \"acc_norm_stderr,none\": 0.02117208133633649,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ |
| : 0.22,\n \"acc_norm_stderr,none\": 0.02625179282460584,\n \ |
| \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\"\ |
| : 0.02172334261705206,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ |
| \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ |
| : 0.4606741573033708,\n \"acc_norm_stderr,none\": 0.0374658773638787,\n\ |
| \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\"\ |
| : 0.03162125257572551,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ |
| \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ |
| acc_norm,none\": 0.284,\n \"acc_norm_stderr,none\": 0.02857695873043741,\n\ |
| \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ |
| \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\": 0.02534897002097908,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| : {\n \"acc_norm,none\": 0.144,\n \"acc_norm_stderr,none\"\ |
| : 0.022249407735450207,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\"\ |
| : 0.029462657598578676,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ |
| : 0.524,\n \"acc_norm_stderr,none\": 0.03164968895968781,\n \ |
| \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ |
| : {\n \"acc_norm,none\": 0.25,\n \"acc_norm_stderr,none\"\ |
| : 0.012555171084064619,\n \"alias\": \" - leaderboard_gpqa\"\n \ |
| \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.25757575757575757,\n\ |
| \ \"acc_norm_stderr,none\": 0.031156269519646836,\n \"alias\"\ |
| : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ |
| : {\n \"acc_norm,none\": 0.2564102564102564,\n \"acc_norm_stderr,none\"\ |
| : 0.018704070930965988,\n \"alias\": \" - leaderboard_gpqa_extended\"\ |
| \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ |
| : 0.23883928571428573,\n \"acc_norm_stderr,none\": 0.020166814463956892,\n\ |
| \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ |
| : {\n \"prompt_level_strict_acc,none\": 0.12754158964879853,\n \ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.01435494059733677,\n \ |
| \ \"inst_level_strict_acc,none\": 0.2290167865707434,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.1367837338262477,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01478700280068285,\n \ |
| \ \"inst_level_loose_acc,none\": 0.24820143884892087,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ |
| \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.006797583081570997,\n\ |
| \ \"exact_match_stderr,none\": 0.002248139817001711,\n \"\ |
| alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.006514657980456026,\n \"exact_match_stderr,none\"\ |
| : 0.004599025618546262,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ |
| \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ |
| \ \"exact_match,none\": 0.008130081300813009,\n \"exact_match_stderr,none\"\ |
| : 0.008130081300813,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ |
| \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ |
| \ - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
| : {\n \"exact_match,none\": 0.0035714285714285713,\n \"exact_match_stderr,none\"\ |
| : 0.0035714285714285687,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ |
| \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ |
| : 0.032467532467532464,\n \"exact_match_stderr,none\": 0.01432886200275974,\n\ |
| \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ |
| \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ |
| \ - leaderboard_math_prealgebra_hard\"\n },\n \"leaderboard_math_precalculus_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ |
| : 0.0,\n \"alias\": \" - leaderboard_math_precalculus_hard\"\n \ |
| \ },\n \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.11211768617021277,\n\ |
| \ \"acc_stderr,none\": 0.002876496847447866,\n \"alias\":\ |
| \ \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ |
| \ \"acc_norm,none\": 0.42592592592592593,\n \"acc_norm_stderr,none\"\ |
| : 0.017416166735186887,\n \"alias\": \" - leaderboard_musr\"\n \ |
| \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ |
| : 0.496,\n \"acc_norm_stderr,none\": 0.031685198551199154,\n \ |
| \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"\ |
| leaderboard_musr_object_placements\": {\n \"acc_norm,none\": 0.25,\n\ |
| \ \"acc_norm_stderr,none\": 0.02711630722733202,\n \"alias\"\ |
| : \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\"\ |
| : 0.031603975145223735,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
| \n }\n },\n \"leaderboard\": {\n \"acc_norm,none\": 0.30354131534569984,\n\ |
| \ \"acc_norm_stderr,none\": 0.004933178143476609,\n \"inst_level_strict_acc,none\"\ |
| : 0.2290167865707434,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ |
| \ \"prompt_level_loose_acc,none\": 0.1367837338262477,\n \"prompt_level_loose_acc_stderr,none\"\ |
| : 0.01478700280068285,\n \"exact_match,none\": 0.006797583081570997,\n \ |
| \ \"exact_match_stderr,none\": 0.002248139817001711,\n \"acc,none\"\ |
| : 0.11211768617021277,\n \"acc_stderr,none\": 0.002876496847447866,\n \ |
| \ \"prompt_level_strict_acc,none\": 0.12754158964879853,\n \"prompt_level_strict_acc_stderr,none\"\ |
| : 0.01435494059733677,\n \"inst_level_loose_acc,none\": 0.2482014388489209,\n\ |
| \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"alias\": \"leaderboard\"\ |
| \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.2985592779031418,\n\ |
| \ \"acc_norm_stderr,none\": 0.005621916337225147,\n \"alias\": \"\ |
| \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ |
| \ \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n\ |
| \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ |
| leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5187165775401069,\n\ |
| \ \"acc_norm_stderr,none\": 0.03663608375537842,\n \"alias\": \" \ |
| \ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ |
| : {\n \"acc_norm,none\": 0.152,\n \"acc_norm_stderr,none\": 0.02275202449176547,\n\ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ |
| : {\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.029150213374159673,\n\ |
| \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ |
| : {\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ |
| \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
| : {\n \"acc_norm,none\": 0.032,\n \"acc_norm_stderr,none\": 0.01115354680923082,\n\ |
| \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ |
| : {\n \"acc_norm,none\": 0.52,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n\ |
| \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\": 0.0236928132054926,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ |
| \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ |
| : 0.152,\n \"acc_norm_stderr,none\": 0.022752024491765464,\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ |
| : {\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.02956172495524103,\n\ |
| \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ |
| \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ |
| : 0.276,\n \"acc_norm_stderr,none\": 0.028328537274211352,\n \"alias\"\ |
| : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ |
| : {\n \"acc_norm,none\": 0.58,\n \"acc_norm_stderr,none\": 0.03127799950463661,\n\ |
| \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"acc_norm,none\": 0.068,\n \"acc_norm_stderr,none\": 0.01595374841074702,\n\ |
| \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ |
| : {\n \"acc_norm,none\": 0.2191780821917808,\n \"acc_norm_stderr,none\"\ |
| : 0.03435504786264927,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ |
| \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ |
| acc_norm,none\": 0.128,\n \"acc_norm_stderr,none\": 0.02117208133633649,\n\ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.22,\n\ |
| \ \"acc_norm_stderr,none\": 0.02625179282460584,\n \"alias\": \" \ |
| \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ |
| : {\n \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\": 0.02172334261705206,\n\ |
| \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ |
| \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.4606741573033708,\n\ |
| \ \"acc_norm_stderr,none\": 0.0374658773638787,\n \"alias\": \" -\ |
| \ leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\": 0.03162125257572551,\n\ |
| \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ |
| leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.284,\n \ |
| \ \"acc_norm_stderr,none\": 0.02857695873043741,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\": 0.02534897002097908,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
| \ \"acc_norm,none\": 0.144,\n \"acc_norm_stderr,none\": 0.022249407735450207,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
| \ \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\": 0.029462657598578676,\n\ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.524,\n\ |
| \ \"acc_norm_stderr,none\": 0.03164968895968781,\n \"alias\": \" \ |
| \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ |
| \ \"acc_norm,none\": 0.25,\n \"acc_norm_stderr,none\": 0.012555171084064619,\n\ |
| \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ |
| : {\n \"acc_norm,none\": 0.25757575757575757,\n \"acc_norm_stderr,none\"\ |
| : 0.031156269519646836,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ |
| \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.2564102564102564,\n\ |
| \ \"acc_norm_stderr,none\": 0.018704070930965988,\n \"alias\": \"\ |
| \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ |
| \ \"acc_norm,none\": 0.23883928571428573,\n \"acc_norm_stderr,none\"\ |
| : 0.020166814463956892,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ |
| \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.12754158964879853,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.01435494059733677,\n \ |
| \ \"inst_level_strict_acc,none\": 0.2290167865707434,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.1367837338262477,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.01478700280068285,\n \"inst_level_loose_acc,none\"\ |
| : 0.24820143884892087,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ |
| \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ |
| : {\n \"exact_match,none\": 0.006797583081570997,\n \"exact_match_stderr,none\"\ |
| : 0.002248139817001711,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ |
| \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.006514657980456026,\n\ |
| \ \"exact_match_stderr,none\": 0.004599025618546262,\n \"alias\":\ |
| \ \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ |
| : {\n \"exact_match,none\": 0.008130081300813009,\n \"exact_match_stderr,none\"\ |
| : 0.008130081300813,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ |
| \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ |
| : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_geometry_hard\"\ |
| \n },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ |
| : 0.0035714285714285713,\n \"exact_match_stderr,none\": 0.0035714285714285687,\n\ |
| \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n },\n\ |
| \ \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\": 0.032467532467532464,\n\ |
| \ \"exact_match_stderr,none\": 0.01432886200275974,\n \"alias\": \"\ |
| \ - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ |
| \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \"leaderboard_math_precalculus_hard\"\ |
| : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ |
| \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ |
| : {\n \"acc,none\": 0.11211768617021277,\n \"acc_stderr,none\": 0.002876496847447866,\n\ |
| \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ |
| : {\n \"acc_norm,none\": 0.42592592592592593,\n \"acc_norm_stderr,none\"\ |
| : 0.017416166735186887,\n \"alias\": \" - leaderboard_musr\"\n },\n \ |
| \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.496,\n\ |
| \ \"acc_norm_stderr,none\": 0.031685198551199154,\n \"alias\": \"\ |
| \ - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ |
| : {\n \"acc_norm,none\": 0.25,\n \"acc_norm_stderr,none\": 0.02711630722733202,\n\ |
| \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ |
| : {\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\": 0.031603975145223735,\n\ |
| \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" |
| repo_url: https://huggingface.co/Mxode/NanoLM-0.3B-Instruct-v1.1 |
| leaderboard_url: '' |
| point_of_contact: '' |
| configs: |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_boolean_expressions |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_causal_judgement |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_date_understanding |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_disambiguation_qa |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_formal_fallacies |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_geometric_shapes |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_hyperbaton |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_logical_deduction_five_objects |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_logical_deduction_seven_objects |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_logical_deduction_three_objects |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_movie_recommendation |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_navigate |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_object_counting |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_penguins_in_a_table |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_reasoning_about_colored_objects |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_ruin_names |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_salient_translation_error_detection |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_snarks |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_sports_understanding |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_temporal_sequences |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_tracking_shuffled_objects_five_objects |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_tracking_shuffled_objects_three_objects |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_web_of_lies |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_gpqa_diamond |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_gpqa_extended |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_gpqa_main |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_main_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_ifeval |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_ifeval_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_ifeval_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_math_algebra_hard |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_math_counting_and_prob_hard |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_math_geometry_hard |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_math_intermediate_algebra_hard |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_math_num_theory_hard |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_math_prealgebra_hard |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_math_precalculus_hard |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_mmlu_pro |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_musr_murder_mysteries |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_musr_object_placements |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2024-09-14T01-38-52.367554.jsonl' |
| - config_name: Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_musr_team_allocation |
| data_files: |
| - split: 2024_09_14T01_38_52.367554 |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-09-14T01-38-52.367554.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2024-09-14T01-38-52.367554.jsonl' |
| --- |
| |
| # Dataset Card for Evaluation run of Mxode/NanoLM-0.3B-Instruct-v1.1 |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| Dataset automatically created during the evaluation run of model [Mxode/NanoLM-0.3B-Instruct-v1.1](https://huggingface.co/Mxode/NanoLM-0.3B-Instruct-v1.1) |
| 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/Mxode__NanoLM-0.3B-Instruct-v1.1-details", |
| name="Mxode__NanoLM-0.3B-Instruct-v1.1__leaderboard_bbh_boolean_expressions", |
| split="latest" |
| ) |
| ``` |
|
|
| ## Latest results |
|
|
| These are the [latest results from run 2024-09-14T01-38-52.367554](https://huggingface.co/datasets/open-llm-leaderboard/Mxode__NanoLM-0.3B-Instruct-v1.1-details/blob/main/Mxode__NanoLM-0.3B-Instruct-v1.1/results_2024-09-14T01-38-52.367554.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": { |
| "acc_norm,none": 0.30354131534569984, |
| "acc_norm_stderr,none": 0.004933178143476609, |
| "inst_level_strict_acc,none": 0.2290167865707434, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.1367837338262477, |
| "prompt_level_loose_acc_stderr,none": 0.01478700280068285, |
| "exact_match,none": 0.006797583081570997, |
| "exact_match_stderr,none": 0.002248139817001711, |
| "acc,none": 0.11211768617021277, |
| "acc_stderr,none": 0.002876496847447866, |
| "prompt_level_strict_acc,none": 0.12754158964879853, |
| "prompt_level_strict_acc_stderr,none": 0.01435494059733677, |
| "inst_level_loose_acc,none": 0.2482014388489209, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.2985592779031418, |
| "acc_norm_stderr,none": 0.005621916337225147, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.512, |
| "acc_norm_stderr,none": 0.03167708558254709, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5187165775401069, |
| "acc_norm_stderr,none": 0.03663608375537842, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.152, |
| "acc_norm_stderr,none": 0.02275202449176547, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.304, |
| "acc_norm_stderr,none": 0.029150213374159673, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.468, |
| "acc_norm_stderr,none": 0.031621252575725504, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.032, |
| "acc_norm_stderr,none": 0.01115354680923082, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.52, |
| "acc_norm_stderr,none": 0.031660853408495185, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.168, |
| "acc_norm_stderr,none": 0.0236928132054926, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.152, |
| "acc_norm_stderr,none": 0.022752024491765464, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.32, |
| "acc_norm_stderr,none": 0.02956172495524103, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.276, |
| "acc_norm_stderr,none": 0.028328537274211352, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.58, |
| "acc_norm_stderr,none": 0.03127799950463661, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.068, |
| "acc_norm_stderr,none": 0.01595374841074702, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.2191780821917808, |
| "acc_norm_stderr,none": 0.03435504786264927, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.128, |
| "acc_norm_stderr,none": 0.02117208133633649, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.22, |
| "acc_norm_stderr,none": 0.02625179282460584, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.136, |
| "acc_norm_stderr,none": 0.02172334261705206, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.4606741573033708, |
| "acc_norm_stderr,none": 0.0374658773638787, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.532, |
| "acc_norm_stderr,none": 0.03162125257572551, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.284, |
| "acc_norm_stderr,none": 0.02857695873043741, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.2, |
| "acc_norm_stderr,none": 0.02534897002097908, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.144, |
| "acc_norm_stderr,none": 0.022249407735450207, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.316, |
| "acc_norm_stderr,none": 0.029462657598578676, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.524, |
| "acc_norm_stderr,none": 0.03164968895968781, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.25, |
| "acc_norm_stderr,none": 0.012555171084064619, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.25757575757575757, |
| "acc_norm_stderr,none": 0.031156269519646836, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.2564102564102564, |
| "acc_norm_stderr,none": 0.018704070930965988, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.23883928571428573, |
| "acc_norm_stderr,none": 0.020166814463956892, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.12754158964879853, |
| "prompt_level_strict_acc_stderr,none": 0.01435494059733677, |
| "inst_level_strict_acc,none": 0.2290167865707434, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.1367837338262477, |
| "prompt_level_loose_acc_stderr,none": 0.01478700280068285, |
| "inst_level_loose_acc,none": 0.24820143884892087, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.006797583081570997, |
| "exact_match_stderr,none": 0.002248139817001711, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.006514657980456026, |
| "exact_match_stderr,none": 0.004599025618546262, |
| "alias": " - leaderboard_math_algebra_hard" |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "exact_match,none": 0.008130081300813009, |
| "exact_match_stderr,none": 0.008130081300813, |
| "alias": " - leaderboard_math_counting_and_prob_hard" |
| }, |
| "leaderboard_math_geometry_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.0035714285714285713, |
| "exact_match_stderr,none": 0.0035714285714285687, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.032467532467532464, |
| "exact_match_stderr,none": 0.01432886200275974, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.11211768617021277, |
| "acc_stderr,none": 0.002876496847447866, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.42592592592592593, |
| "acc_norm_stderr,none": 0.017416166735186887, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.496, |
| "acc_norm_stderr,none": 0.031685198551199154, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.25, |
| "acc_norm_stderr,none": 0.02711630722733202, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.536, |
| "acc_norm_stderr,none": 0.031603975145223735, |
| "alias": " - leaderboard_musr_team_allocation" |
| } |
| }, |
| "leaderboard": { |
| "acc_norm,none": 0.30354131534569984, |
| "acc_norm_stderr,none": 0.004933178143476609, |
| "inst_level_strict_acc,none": 0.2290167865707434, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.1367837338262477, |
| "prompt_level_loose_acc_stderr,none": 0.01478700280068285, |
| "exact_match,none": 0.006797583081570997, |
| "exact_match_stderr,none": 0.002248139817001711, |
| "acc,none": 0.11211768617021277, |
| "acc_stderr,none": 0.002876496847447866, |
| "prompt_level_strict_acc,none": 0.12754158964879853, |
| "prompt_level_strict_acc_stderr,none": 0.01435494059733677, |
| "inst_level_loose_acc,none": 0.2482014388489209, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.2985592779031418, |
| "acc_norm_stderr,none": 0.005621916337225147, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "acc_norm,none": 0.512, |
| "acc_norm_stderr,none": 0.03167708558254709, |
| "alias": " - leaderboard_bbh_boolean_expressions" |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "acc_norm,none": 0.5187165775401069, |
| "acc_norm_stderr,none": 0.03663608375537842, |
| "alias": " - leaderboard_bbh_causal_judgement" |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "acc_norm,none": 0.152, |
| "acc_norm_stderr,none": 0.02275202449176547, |
| "alias": " - leaderboard_bbh_date_understanding" |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "acc_norm,none": 0.304, |
| "acc_norm_stderr,none": 0.029150213374159673, |
| "alias": " - leaderboard_bbh_disambiguation_qa" |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "acc_norm,none": 0.468, |
| "acc_norm_stderr,none": 0.031621252575725504, |
| "alias": " - leaderboard_bbh_formal_fallacies" |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "acc_norm,none": 0.032, |
| "acc_norm_stderr,none": 0.01115354680923082, |
| "alias": " - leaderboard_bbh_geometric_shapes" |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "acc_norm,none": 0.52, |
| "acc_norm_stderr,none": 0.031660853408495185, |
| "alias": " - leaderboard_bbh_hyperbaton" |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "acc_norm,none": 0.168, |
| "acc_norm_stderr,none": 0.0236928132054926, |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "acc_norm,none": 0.152, |
| "acc_norm_stderr,none": 0.022752024491765464, |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects" |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "acc_norm,none": 0.32, |
| "acc_norm_stderr,none": 0.02956172495524103, |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects" |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "acc_norm,none": 0.276, |
| "acc_norm_stderr,none": 0.028328537274211352, |
| "alias": " - leaderboard_bbh_movie_recommendation" |
| }, |
| "leaderboard_bbh_navigate": { |
| "acc_norm,none": 0.58, |
| "acc_norm_stderr,none": 0.03127799950463661, |
| "alias": " - leaderboard_bbh_navigate" |
| }, |
| "leaderboard_bbh_object_counting": { |
| "acc_norm,none": 0.068, |
| "acc_norm_stderr,none": 0.01595374841074702, |
| "alias": " - leaderboard_bbh_object_counting" |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "acc_norm,none": 0.2191780821917808, |
| "acc_norm_stderr,none": 0.03435504786264927, |
| "alias": " - leaderboard_bbh_penguins_in_a_table" |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "acc_norm,none": 0.128, |
| "acc_norm_stderr,none": 0.02117208133633649, |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects" |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "acc_norm,none": 0.22, |
| "acc_norm_stderr,none": 0.02625179282460584, |
| "alias": " - leaderboard_bbh_ruin_names" |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "acc_norm,none": 0.136, |
| "acc_norm_stderr,none": 0.02172334261705206, |
| "alias": " - leaderboard_bbh_salient_translation_error_detection" |
| }, |
| "leaderboard_bbh_snarks": { |
| "acc_norm,none": 0.4606741573033708, |
| "acc_norm_stderr,none": 0.0374658773638787, |
| "alias": " - leaderboard_bbh_snarks" |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "acc_norm,none": 0.532, |
| "acc_norm_stderr,none": 0.03162125257572551, |
| "alias": " - leaderboard_bbh_sports_understanding" |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "acc_norm,none": 0.284, |
| "acc_norm_stderr,none": 0.02857695873043741, |
| "alias": " - leaderboard_bbh_temporal_sequences" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "acc_norm,none": 0.2, |
| "acc_norm_stderr,none": 0.02534897002097908, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "acc_norm,none": 0.144, |
| "acc_norm_stderr,none": 0.022249407735450207, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "acc_norm,none": 0.316, |
| "acc_norm_stderr,none": 0.029462657598578676, |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "acc_norm,none": 0.524, |
| "acc_norm_stderr,none": 0.03164968895968781, |
| "alias": " - leaderboard_bbh_web_of_lies" |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.25, |
| "acc_norm_stderr,none": 0.012555171084064619, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "acc_norm,none": 0.25757575757575757, |
| "acc_norm_stderr,none": 0.031156269519646836, |
| "alias": " - leaderboard_gpqa_diamond" |
| }, |
| "leaderboard_gpqa_extended": { |
| "acc_norm,none": 0.2564102564102564, |
| "acc_norm_stderr,none": 0.018704070930965988, |
| "alias": " - leaderboard_gpqa_extended" |
| }, |
| "leaderboard_gpqa_main": { |
| "acc_norm,none": 0.23883928571428573, |
| "acc_norm_stderr,none": 0.020166814463956892, |
| "alias": " - leaderboard_gpqa_main" |
| }, |
| "leaderboard_ifeval": { |
| "prompt_level_strict_acc,none": 0.12754158964879853, |
| "prompt_level_strict_acc_stderr,none": 0.01435494059733677, |
| "inst_level_strict_acc,none": 0.2290167865707434, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.1367837338262477, |
| "prompt_level_loose_acc_stderr,none": 0.01478700280068285, |
| "inst_level_loose_acc,none": 0.24820143884892087, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "alias": " - leaderboard_ifeval" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.006797583081570997, |
| "exact_match_stderr,none": 0.002248139817001711, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "exact_match,none": 0.006514657980456026, |
| "exact_match_stderr,none": 0.004599025618546262, |
| "alias": " - leaderboard_math_algebra_hard" |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "exact_match,none": 0.008130081300813009, |
| "exact_match_stderr,none": 0.008130081300813, |
| "alias": " - leaderboard_math_counting_and_prob_hard" |
| }, |
| "leaderboard_math_geometry_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_geometry_hard" |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "exact_match,none": 0.0035714285714285713, |
| "exact_match_stderr,none": 0.0035714285714285687, |
| "alias": " - leaderboard_math_intermediate_algebra_hard" |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "exact_match,none": 0.032467532467532464, |
| "exact_match_stderr,none": 0.01432886200275974, |
| "alias": " - leaderboard_math_num_theory_hard" |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_prealgebra_hard" |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "exact_match,none": 0.0, |
| "exact_match_stderr,none": 0.0, |
| "alias": " - leaderboard_math_precalculus_hard" |
| }, |
| "leaderboard_mmlu_pro": { |
| "acc,none": 0.11211768617021277, |
| "acc_stderr,none": 0.002876496847447866, |
| "alias": " - leaderboard_mmlu_pro" |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.42592592592592593, |
| "acc_norm_stderr,none": 0.017416166735186887, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "acc_norm,none": 0.496, |
| "acc_norm_stderr,none": 0.031685198551199154, |
| "alias": " - leaderboard_musr_murder_mysteries" |
| }, |
| "leaderboard_musr_object_placements": { |
| "acc_norm,none": 0.25, |
| "acc_norm_stderr,none": 0.02711630722733202, |
| "alias": " - leaderboard_musr_object_placements" |
| }, |
| "leaderboard_musr_team_allocation": { |
| "acc_norm,none": 0.536, |
| "acc_norm_stderr,none": 0.031603975145223735, |
| "alias": " - leaderboard_musr_team_allocation" |
| } |
| } |
| ``` |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| <!-- Provide a longer summary of what this dataset is. --> |
|
|
|
|
|
|
| - **Curated by:** [More Information Needed] |
| - **Funded by [optional]:** [More Information Needed] |
| - **Shared by [optional]:** [More Information Needed] |
| - **Language(s) (NLP):** [More Information Needed] |
| - **License:** [More Information Needed] |
|
|
| ### Dataset Sources [optional] |
|
|
| <!-- Provide the basic links for the dataset. --> |
|
|
| - **Repository:** [More Information Needed] |
| - **Paper [optional]:** [More Information Needed] |
| - **Demo [optional]:** [More Information Needed] |
|
|
| ## Uses |
|
|
| <!-- Address questions around how the dataset is intended to be used. --> |
|
|
| ### Direct Use |
|
|
| <!-- This section describes suitable use cases for the dataset. --> |
|
|
| [More Information Needed] |
|
|
| ### Out-of-Scope Use |
|
|
| <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
|
|
| [More Information Needed] |
|
|
| ## Dataset Structure |
|
|
| <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
|
|
| [More Information Needed] |
|
|
| ## Dataset Creation |
|
|
| ### Curation Rationale |
|
|
| <!-- Motivation for the creation of this dataset. --> |
|
|
| [More Information Needed] |
|
|
| ### Source Data |
|
|
| <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
|
|
| #### Data Collection and Processing |
|
|
| <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
|
|
| [More Information Needed] |
|
|
| #### Who are the source data producers? |
|
|
| <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> |
|
|
| [More Information Needed] |
|
|
| ### Annotations [optional] |
|
|
| <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> |
|
|
| #### Annotation process |
|
|
| <!-- 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. --> |
|
|
| [More Information Needed] |
|
|
| #### Who are the annotators? |
|
|
| <!-- This section describes the people or systems who created the annotations. --> |
|
|
| [More Information Needed] |
|
|
| #### Personal and Sensitive Information |
|
|
| <!-- 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. --> |
|
|
| [More Information Needed] |
|
|
| ## Bias, Risks, and Limitations |
|
|
| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
|
|
| [More Information Needed] |
|
|
| ### Recommendations |
|
|
| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
|
|
| Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. |
|
|
| ## Citation [optional] |
|
|
| <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
|
|
| **BibTeX:** |
|
|
| [More Information Needed] |
|
|
| **APA:** |
|
|
| [More Information Needed] |
|
|
| ## Glossary [optional] |
|
|
| <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> |
|
|
| [More Information Needed] |
|
|
| ## More Information [optional] |
|
|
| [More Information Needed] |
|
|
| ## Dataset Card Authors [optional] |
|
|
| [More Information Needed] |
|
|
| ## Dataset Card Contact |
|
|
| [More Information Needed] |
