| --- |
| pretty_name: Evaluation run of sometimesanotion/LamarckInfusion-14B-v2-lo |
| dataset_summary: "Dataset automatically created during the evaluation run of model\ |
| \ [sometimesanotion/LamarckInfusion-14B-v2-lo](https://huggingface.co/sometimesanotion/LamarckInfusion-14B-v2-lo)\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/sometimesanotion__LamarckInfusion-14B-v2-lo-details\"\ |
| ,\n\tname=\"sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_boolean_expressions\"\ |
| ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ |
| \ from run 2025-03-01T13-18-32.639009](https://huggingface.co/datasets/open-llm-leaderboard/sometimesanotion__LamarckInfusion-14B-v2-lo-details/blob/main/sometimesanotion__LamarckInfusion-14B-v2-lo/results_2025-03-01T13-18-32.639009.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\ |
| \ \"exact_match,none\": 0.42371601208459214,\n \"exact_match_stderr,none\"\ |
| : 0.012500137686468323,\n \"acc_norm,none\": 0.5952782462057336,\n \ |
| \ \"acc_norm_stderr,none\": 0.005168684580682565,\n \"inst_level_loose_acc,none\"\ |
| : 0.7709832134292566,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ |
| ,\n \"prompt_level_strict_acc,none\": 0.6321626617375231,\n \ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.02075130655602968,\n \"\ |
| acc,none\": 0.5397273936170213,\n \"acc_stderr,none\": 0.0045440586818391625,\n\ |
| \ \"prompt_level_loose_acc,none\": 0.6894639556377079,\n \"\ |
| prompt_level_loose_acc_stderr,none\": 0.019912001290591178,\n \"inst_level_strict_acc,none\"\ |
| : 0.7254196642685852,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ |
| ,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ |
| : {\n \"acc_norm,none\": 0.6512758201701093,\n \"acc_norm_stderr,none\"\ |
| : 0.0057990077785863145,\n \"alias\": \" - leaderboard_bbh\"\n \ |
| \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\": 0.88,\n\ |
| \ \"acc_norm_stderr,none\": 0.020593600596839998\n },\n \ |
| \ \"leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ |
| ,\n \"acc_norm,none\": 0.6470588235294118,\n \"acc_norm_stderr,none\"\ |
| : 0.03504019983419238\n },\n \"leaderboard_bbh_date_understanding\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_date_understanding\",\n \ |
| \ \"acc_norm,none\": 0.676,\n \"acc_norm_stderr,none\": 0.029658294924545567\n\ |
| \ },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_disambiguation_qa\",\n \"acc_norm,none\": 0.664,\n\ |
| \ \"acc_norm_stderr,none\": 0.029933259094191533\n },\n \ |
| \ \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
| ,\n \"acc_norm,none\": 0.708,\n \"acc_norm_stderr,none\":\ |
| \ 0.028814320402205634\n },\n \"leaderboard_bbh_geometric_shapes\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\",\n \ |
| \ \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ |
| \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \"\ |
| \ - leaderboard_bbh_hyperbaton\",\n \"acc_norm,none\": 0.732,\n \ |
| \ \"acc_norm_stderr,none\": 0.02806876238252672\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ |
| ,\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\":\ |
| \ 0.030881038748993974\n },\n \"leaderboard_bbh_logical_deduction_seven_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ |
| ,\n \"acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\":\ |
| \ 0.031235856237014505\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\ |
| ,\n \"acc_norm,none\": 0.916,\n \"acc_norm_stderr,none\":\ |
| \ 0.017578738526776348\n },\n \"leaderboard_bbh_movie_recommendation\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\",\n \ |
| \ \"acc_norm,none\": 0.752,\n \"acc_norm_stderr,none\": 0.027367497504863593\n\ |
| \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \"\ |
| \ - leaderboard_bbh_navigate\",\n \"acc_norm,none\": 0.724,\n \ |
| \ \"acc_norm_stderr,none\": 0.02832853727421142\n },\n \"leaderboard_bbh_object_counting\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_object_counting\",\n \ |
| \ \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ |
| \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ |
| alias\": \" - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\"\ |
| : 0.6506849315068494,\n \"acc_norm_stderr,none\": 0.039592236387765004\n\ |
| \ },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\",\n\ |
| \ \"acc_norm,none\": 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \"\ |
| \ - leaderboard_bbh_ruin_names\",\n \"acc_norm,none\": 0.836,\n \ |
| \ \"acc_norm_stderr,none\": 0.023465261002076715\n },\n \"\ |
| leaderboard_bbh_salient_translation_error_detection\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_salient_translation_error_detection\",\n \"acc_norm,none\"\ |
| : 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n },\n\ |
| \ \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ |
| ,\n \"acc_norm,none\": 0.7865168539325843,\n \"acc_norm_stderr,none\"\ |
| : 0.030799891078809365\n },\n \"leaderboard_bbh_sports_understanding\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \ |
| \ \"acc_norm,none\": 0.784,\n \"acc_norm_stderr,none\": 0.02607865766373279\n\ |
| \ },\n \"leaderboard_bbh_temporal_sequences\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_temporal_sequences\",\n \"acc_norm,none\": 0.88,\n\ |
| \ \"acc_norm_stderr,none\": 0.020593600596839998\n },\n \ |
| \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \"\ |
| alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\",\n \ |
| \ \"acc_norm,none\": 0.264,\n \"acc_norm_stderr,none\": 0.027934518957690866\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| ,\n \"acc_norm,none\": 0.248,\n \"acc_norm_stderr,none\":\ |
| \ 0.027367497504863593\n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| ,\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\":\ |
| \ 0.029752391824475363\n },\n \"leaderboard_bbh_web_of_lies\": {\n\ |
| \ \"alias\": \" - leaderboard_bbh_web_of_lies\",\n \"acc_norm,none\"\ |
| : 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n },\n\ |
| \ \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3859060402684564,\n\ |
| \ \"acc_norm_stderr,none\": 0.014117422264702886,\n \"alias\"\ |
| : \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n\ |
| \ \"alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\"\ |
| : 0.3939393939393939,\n \"acc_norm_stderr,none\": 0.03481285338232962\n\ |
| \ },\n \"leaderboard_gpqa_extended\": {\n \"alias\": \"\ |
| \ - leaderboard_gpqa_extended\",\n \"acc_norm,none\": 0.38461538461538464,\n\ |
| \ \"acc_norm_stderr,none\": 0.02083955266087989\n },\n \ |
| \ \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
| ,\n \"acc_norm,none\": 0.38392857142857145,\n \"acc_norm_stderr,none\"\ |
| : 0.02300313291907409\n },\n \"leaderboard_ifeval\": {\n \ |
| \ \"alias\": \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\"\ |
| : 0.6321626617375231,\n \"prompt_level_strict_acc_stderr,none\": 0.02075130655602968,\n\ |
| \ \"inst_level_strict_acc,none\": 0.7254196642685852,\n \"\ |
| inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ |
| : 0.6894639556377079,\n \"prompt_level_loose_acc_stderr,none\": 0.019912001290591178,\n\ |
| \ \"inst_level_loose_acc,none\": 0.7709832134292566,\n \"\ |
| inst_level_loose_acc_stderr,none\": \"N/A\"\n },\n \"leaderboard_math_hard\"\ |
| : {\n \"exact_match,none\": 0.42371601208459214,\n \"exact_match_stderr,none\"\ |
| : 0.012500137686468323,\n \"alias\": \" - leaderboard_math_hard\"\n \ |
| \ },\n \"leaderboard_math_algebra_hard\": {\n \"alias\"\ |
| : \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\": 0.6677524429967426,\n\ |
| \ \"exact_match_stderr,none\": 0.026926377345574907\n },\n \ |
| \ \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\": \"\ |
| \ - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ |
| : 0.3333333333333333,\n \"exact_match_stderr,none\": 0.04267895997763199\n\ |
| \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\"\ |
| : \" - leaderboard_math_geometry_hard\",\n \"exact_match,none\": 0.2878787878787879,\n\ |
| \ \"exact_match_stderr,none\": 0.039559076642353926\n },\n \ |
| \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"alias\":\ |
| \ \" - leaderboard_math_intermediate_algebra_hard\",\n \"exact_match,none\"\ |
| : 0.18214285714285713,\n \"exact_match_stderr,none\": 0.023106953811813196\n\ |
| \ },\n \"leaderboard_math_num_theory_hard\": {\n \"alias\"\ |
| : \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\": 0.4805194805194805,\n\ |
| \ \"exact_match_stderr,none\": 0.040391912521310615\n },\n \ |
| \ \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
| ,\n \"exact_match,none\": 0.6217616580310881,\n \"exact_match_stderr,none\"\ |
| : 0.03499807276193341\n },\n \"leaderboard_math_precalculus_hard\"\ |
| : {\n \"alias\": \" - leaderboard_math_precalculus_hard\",\n \ |
| \ \"exact_match,none\": 0.23703703703703705,\n \"exact_match_stderr,none\"\ |
| : 0.03673731683969509\n },\n \"leaderboard_mmlu_pro\": {\n \ |
| \ \"alias\": \" - leaderboard_mmlu_pro\",\n \"acc,none\": 0.5397273936170213,\n\ |
| \ \"acc_stderr,none\": 0.0045440586818391625\n },\n \"\ |
| leaderboard_musr\": {\n \"acc_norm,none\": 0.49867724867724866,\n \ |
| \ \"acc_norm_stderr,none\": 0.018151388190973543,\n \"alias\"\ |
| : \" - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\"\ |
| : {\n \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \ |
| \ \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.03151438761115348\n\ |
| \ },\n \"leaderboard_musr_object_placements\": {\n \"alias\"\ |
| : \" - leaderboard_musr_object_placements\",\n \"acc_norm,none\": 0.4453125,\n\ |
| \ \"acc_norm_stderr,none\": 0.031123364739703004\n },\n \ |
| \ \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
| ,\n \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896\n\ |
| \ }\n },\n \"leaderboard\": {\n \"exact_match,none\": 0.42371601208459214,\n\ |
| \ \"exact_match_stderr,none\": 0.012500137686468323,\n \"acc_norm,none\"\ |
| : 0.5952782462057336,\n \"acc_norm_stderr,none\": 0.005168684580682565,\n\ |
| \ \"inst_level_loose_acc,none\": 0.7709832134292566,\n \"inst_level_loose_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_strict_acc,none\": 0.6321626617375231,\n \ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.02075130655602968,\n \"acc,none\"\ |
| : 0.5397273936170213,\n \"acc_stderr,none\": 0.0045440586818391625,\n \ |
| \ \"prompt_level_loose_acc,none\": 0.6894639556377079,\n \"prompt_level_loose_acc_stderr,none\"\ |
| : 0.019912001290591178,\n \"inst_level_strict_acc,none\": 0.7254196642685852,\n\ |
| \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"alias\": \"\ |
| leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.6512758201701093,\n\ |
| \ \"acc_norm_stderr,none\": 0.0057990077785863145,\n \"alias\": \"\ |
| \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ |
| \ \"alias\": \" - leaderboard_bbh_boolean_expressions\",\n \"acc_norm,none\"\ |
| : 0.88,\n \"acc_norm_stderr,none\": 0.020593600596839998\n },\n \"\ |
| leaderboard_bbh_causal_judgement\": {\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ |
| ,\n \"acc_norm,none\": 0.6470588235294118,\n \"acc_norm_stderr,none\"\ |
| : 0.03504019983419238\n },\n \"leaderboard_bbh_date_understanding\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_date_understanding\",\n \"acc_norm,none\"\ |
| : 0.676,\n \"acc_norm_stderr,none\": 0.029658294924545567\n },\n \"\ |
| leaderboard_bbh_disambiguation_qa\": {\n \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\ |
| ,\n \"acc_norm,none\": 0.664,\n \"acc_norm_stderr,none\": 0.029933259094191533\n\ |
| \ },\n \"leaderboard_bbh_formal_fallacies\": {\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ |
| ,\n \"acc_norm,none\": 0.708,\n \"acc_norm_stderr,none\": 0.028814320402205634\n\ |
| \ },\n \"leaderboard_bbh_geometric_shapes\": {\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ |
| ,\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714\n\ |
| \ },\n \"leaderboard_bbh_hyperbaton\": {\n \"alias\": \" - leaderboard_bbh_hyperbaton\"\ |
| ,\n \"acc_norm,none\": 0.732,\n \"acc_norm_stderr,none\": 0.02806876238252672\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_five_objects\": {\n \"alias\"\ |
| : \" - leaderboard_bbh_logical_deduction_five_objects\",\n \"acc_norm,none\"\ |
| : 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993974\n },\n \"\ |
| leaderboard_bbh_logical_deduction_seven_objects\": {\n \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\ |
| ,\n \"acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014505\n\ |
| \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \"\ |
| alias\": \" - leaderboard_bbh_logical_deduction_three_objects\",\n \"acc_norm,none\"\ |
| : 0.916,\n \"acc_norm_stderr,none\": 0.017578738526776348\n },\n \"\ |
| leaderboard_bbh_movie_recommendation\": {\n \"alias\": \" - leaderboard_bbh_movie_recommendation\"\ |
| ,\n \"acc_norm,none\": 0.752,\n \"acc_norm_stderr,none\": 0.027367497504863593\n\ |
| \ },\n \"leaderboard_bbh_navigate\": {\n \"alias\": \" - leaderboard_bbh_navigate\"\ |
| ,\n \"acc_norm,none\": 0.724,\n \"acc_norm_stderr,none\": 0.02832853727421142\n\ |
| \ },\n \"leaderboard_bbh_object_counting\": {\n \"alias\": \" - leaderboard_bbh_object_counting\"\ |
| ,\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968774\n\ |
| \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"alias\": \" \ |
| \ - leaderboard_bbh_penguins_in_a_table\",\n \"acc_norm,none\": 0.6506849315068494,\n\ |
| \ \"acc_norm_stderr,none\": 0.039592236387765004\n },\n \"leaderboard_bbh_reasoning_about_colored_objects\"\ |
| : {\n \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\ |
| ,\n \"acc_norm,none\": 0.84,\n \"acc_norm_stderr,none\": 0.023232714782060626\n\ |
| \ },\n \"leaderboard_bbh_ruin_names\": {\n \"alias\": \" - leaderboard_bbh_ruin_names\"\ |
| ,\n \"acc_norm,none\": 0.836,\n \"acc_norm_stderr,none\": 0.023465261002076715\n\ |
| \ },\n \"leaderboard_bbh_salient_translation_error_detection\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\",\n \ |
| \ \"acc_norm,none\": 0.604,\n \"acc_norm_stderr,none\": 0.030993197854577898\n\ |
| \ },\n \"leaderboard_bbh_snarks\": {\n \"alias\": \" - leaderboard_bbh_snarks\"\ |
| ,\n \"acc_norm,none\": 0.7865168539325843,\n \"acc_norm_stderr,none\"\ |
| : 0.030799891078809365\n },\n \"leaderboard_bbh_sports_understanding\": {\n\ |
| \ \"alias\": \" - leaderboard_bbh_sports_understanding\",\n \"acc_norm,none\"\ |
| : 0.784,\n \"acc_norm_stderr,none\": 0.02607865766373279\n },\n \"\ |
| leaderboard_bbh_temporal_sequences\": {\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ |
| ,\n \"acc_norm,none\": 0.88,\n \"acc_norm_stderr,none\": 0.020593600596839998\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ |
| ,\n \"acc_norm,none\": 0.264,\n \"acc_norm_stderr,none\": 0.027934518957690866\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ |
| ,\n \"acc_norm,none\": 0.248,\n \"acc_norm_stderr,none\": 0.027367497504863593\n\ |
| \ },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ |
| \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ |
| ,\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475363\n\ |
| \ },\n \"leaderboard_bbh_web_of_lies\": {\n \"alias\": \" - leaderboard_bbh_web_of_lies\"\ |
| ,\n \"acc_norm,none\": 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022818\n\ |
| \ },\n \"leaderboard_gpqa\": {\n \"acc_norm,none\": 0.3859060402684564,\n\ |
| \ \"acc_norm_stderr,none\": 0.014117422264702886,\n \"alias\": \"\ |
| \ - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\": {\n \"\ |
| alias\": \" - leaderboard_gpqa_diamond\",\n \"acc_norm,none\": 0.3939393939393939,\n\ |
| \ \"acc_norm_stderr,none\": 0.03481285338232962\n },\n \"leaderboard_gpqa_extended\"\ |
| : {\n \"alias\": \" - leaderboard_gpqa_extended\",\n \"acc_norm,none\"\ |
| : 0.38461538461538464,\n \"acc_norm_stderr,none\": 0.02083955266087989\n\ |
| \ },\n \"leaderboard_gpqa_main\": {\n \"alias\": \" - leaderboard_gpqa_main\"\ |
| ,\n \"acc_norm,none\": 0.38392857142857145,\n \"acc_norm_stderr,none\"\ |
| : 0.02300313291907409\n },\n \"leaderboard_ifeval\": {\n \"alias\"\ |
| : \" - leaderboard_ifeval\",\n \"prompt_level_strict_acc,none\": 0.6321626617375231,\n\ |
| \ \"prompt_level_strict_acc_stderr,none\": 0.02075130655602968,\n \ |
| \ \"inst_level_strict_acc,none\": 0.7254196642685852,\n \"inst_level_strict_acc_stderr,none\"\ |
| : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.6894639556377079,\n \ |
| \ \"prompt_level_loose_acc_stderr,none\": 0.019912001290591178,\n \"inst_level_loose_acc,none\"\ |
| : 0.7709832134292566,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\n \ |
| \ },\n \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.42371601208459214,\n\ |
| \ \"exact_match_stderr,none\": 0.012500137686468323,\n \"alias\":\ |
| \ \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\": {\n\ |
| \ \"alias\": \" - leaderboard_math_algebra_hard\",\n \"exact_match,none\"\ |
| : 0.6677524429967426,\n \"exact_match_stderr,none\": 0.026926377345574907\n\ |
| \ },\n \"leaderboard_math_counting_and_prob_hard\": {\n \"alias\":\ |
| \ \" - leaderboard_math_counting_and_prob_hard\",\n \"exact_match,none\"\ |
| : 0.3333333333333333,\n \"exact_match_stderr,none\": 0.04267895997763199\n\ |
| \ },\n \"leaderboard_math_geometry_hard\": {\n \"alias\": \" - leaderboard_math_geometry_hard\"\ |
| ,\n \"exact_match,none\": 0.2878787878787879,\n \"exact_match_stderr,none\"\ |
| : 0.039559076642353926\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ |
| : {\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\",\n \ |
| \ \"exact_match,none\": 0.18214285714285713,\n \"exact_match_stderr,none\"\ |
| : 0.023106953811813196\n },\n \"leaderboard_math_num_theory_hard\": {\n \ |
| \ \"alias\": \" - leaderboard_math_num_theory_hard\",\n \"exact_match,none\"\ |
| : 0.4805194805194805,\n \"exact_match_stderr,none\": 0.040391912521310615\n\ |
| \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ |
| ,\n \"exact_match,none\": 0.6217616580310881,\n \"exact_match_stderr,none\"\ |
| : 0.03499807276193341\n },\n \"leaderboard_math_precalculus_hard\": {\n \ |
| \ \"alias\": \" - leaderboard_math_precalculus_hard\",\n \"exact_match,none\"\ |
| : 0.23703703703703705,\n \"exact_match_stderr,none\": 0.03673731683969509\n\ |
| \ },\n \"leaderboard_mmlu_pro\": {\n \"alias\": \" - leaderboard_mmlu_pro\"\ |
| ,\n \"acc,none\": 0.5397273936170213,\n \"acc_stderr,none\": 0.0045440586818391625\n\ |
| \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.49867724867724866,\n\ |
| \ \"acc_norm_stderr,none\": 0.018151388190973543,\n \"alias\": \"\ |
| \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ |
| \ \"alias\": \" - leaderboard_musr_murder_mysteries\",\n \"acc_norm,none\"\ |
| : 0.552,\n \"acc_norm_stderr,none\": 0.03151438761115348\n },\n \"\ |
| leaderboard_musr_object_placements\": {\n \"alias\": \" - leaderboard_musr_object_placements\"\ |
| ,\n \"acc_norm,none\": 0.4453125,\n \"acc_norm_stderr,none\": 0.031123364739703004\n\ |
| \ },\n \"leaderboard_musr_team_allocation\": {\n \"alias\": \" - leaderboard_musr_team_allocation\"\ |
| ,\n \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896\n\ |
| \ }\n}\n```" |
| repo_url: https://huggingface.co/sometimesanotion/LamarckInfusion-14B-v2-lo |
| leaderboard_url: '' |
| point_of_contact: '' |
| configs: |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_boolean_expressions |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_boolean_expressions_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_causal_judgement |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_causal_judgement_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_date_understanding |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_date_understanding_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_disambiguation_qa |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_disambiguation_qa_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_formal_fallacies |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_formal_fallacies_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_geometric_shapes |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_geometric_shapes_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_hyperbaton |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_hyperbaton_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_logical_deduction_five_objects |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_logical_deduction_seven_objects |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_logical_deduction_three_objects |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_movie_recommendation |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_movie_recommendation_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_navigate |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_navigate_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_object_counting |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_object_counting_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_penguins_in_a_table |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_penguins_in_a_table_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_reasoning_about_colored_objects |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_ruin_names |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_ruin_names_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_salient_translation_error_detection |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_salient_translation_error_detection_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_snarks |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_snarks_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_sports_understanding |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_sports_understanding_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_temporal_sequences |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_temporal_sequences_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_tracking_shuffled_objects_five_objects |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_tracking_shuffled_objects_seven_objects |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_tracking_shuffled_objects_three_objects |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_web_of_lies |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_bbh_web_of_lies_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_gpqa_diamond |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_diamond_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_gpqa_extended |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_extended_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_gpqa_main |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_gpqa_main_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_gpqa_main_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_ifeval |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_ifeval_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_ifeval_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_math_algebra_hard |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_algebra_hard_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_math_counting_and_prob_hard |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_counting_and_prob_hard_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_math_geometry_hard |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_geometry_hard_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_math_intermediate_algebra_hard |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_intermediate_algebra_hard_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_math_num_theory_hard |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_num_theory_hard_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_math_prealgebra_hard |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_prealgebra_hard_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_math_precalculus_hard |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_math_precalculus_hard_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_mmlu_pro |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_mmlu_pro_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_musr_murder_mysteries |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_murder_mysteries_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_musr_object_placements |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_object_placements_2025-03-01T13-18-32.639009.jsonl' |
| - config_name: sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_musr_team_allocation |
| data_files: |
| - split: 2025_03_01T13_18_32.639009 |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2025-03-01T13-18-32.639009.jsonl' |
| - split: latest |
| path: |
| - '**/samples_leaderboard_musr_team_allocation_2025-03-01T13-18-32.639009.jsonl' |
| --- |
| |
| # Dataset Card for Evaluation run of sometimesanotion/LamarckInfusion-14B-v2-lo |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| Dataset automatically created during the evaluation run of model [sometimesanotion/LamarckInfusion-14B-v2-lo](https://huggingface.co/sometimesanotion/LamarckInfusion-14B-v2-lo) |
| 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/sometimesanotion__LamarckInfusion-14B-v2-lo-details", |
| name="sometimesanotion__LamarckInfusion-14B-v2-lo__leaderboard_bbh_boolean_expressions", |
| split="latest" |
| ) |
| ``` |
|
|
| ## Latest results |
|
|
| These are the [latest results from run 2025-03-01T13-18-32.639009](https://huggingface.co/datasets/open-llm-leaderboard/sometimesanotion__LamarckInfusion-14B-v2-lo-details/blob/main/sometimesanotion__LamarckInfusion-14B-v2-lo/results_2025-03-01T13-18-32.639009.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": { |
| "exact_match,none": 0.42371601208459214, |
| "exact_match_stderr,none": 0.012500137686468323, |
| "acc_norm,none": 0.5952782462057336, |
| "acc_norm_stderr,none": 0.005168684580682565, |
| "inst_level_loose_acc,none": 0.7709832134292566, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "prompt_level_strict_acc,none": 0.6321626617375231, |
| "prompt_level_strict_acc_stderr,none": 0.02075130655602968, |
| "acc,none": 0.5397273936170213, |
| "acc_stderr,none": 0.0045440586818391625, |
| "prompt_level_loose_acc,none": 0.6894639556377079, |
| "prompt_level_loose_acc_stderr,none": 0.019912001290591178, |
| "inst_level_strict_acc,none": 0.7254196642685852, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.6512758201701093, |
| "acc_norm_stderr,none": 0.0057990077785863145, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "alias": " - leaderboard_bbh_boolean_expressions", |
| "acc_norm,none": 0.88, |
| "acc_norm_stderr,none": 0.020593600596839998 |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "alias": " - leaderboard_bbh_causal_judgement", |
| "acc_norm,none": 0.6470588235294118, |
| "acc_norm_stderr,none": 0.03504019983419238 |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "alias": " - leaderboard_bbh_date_understanding", |
| "acc_norm,none": 0.676, |
| "acc_norm_stderr,none": 0.029658294924545567 |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "alias": " - leaderboard_bbh_disambiguation_qa", |
| "acc_norm,none": 0.664, |
| "acc_norm_stderr,none": 0.029933259094191533 |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "alias": " - leaderboard_bbh_formal_fallacies", |
| "acc_norm,none": 0.708, |
| "acc_norm_stderr,none": 0.028814320402205634 |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "alias": " - leaderboard_bbh_geometric_shapes", |
| "acc_norm,none": 0.488, |
| "acc_norm_stderr,none": 0.03167708558254714 |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "alias": " - leaderboard_bbh_hyperbaton", |
| "acc_norm,none": 0.732, |
| "acc_norm_stderr,none": 0.02806876238252672 |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects", |
| "acc_norm,none": 0.612, |
| "acc_norm_stderr,none": 0.030881038748993974 |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
| "acc_norm,none": 0.584, |
| "acc_norm_stderr,none": 0.031235856237014505 |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects", |
| "acc_norm,none": 0.916, |
| "acc_norm_stderr,none": 0.017578738526776348 |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "alias": " - leaderboard_bbh_movie_recommendation", |
| "acc_norm,none": 0.752, |
| "acc_norm_stderr,none": 0.027367497504863593 |
| }, |
| "leaderboard_bbh_navigate": { |
| "alias": " - leaderboard_bbh_navigate", |
| "acc_norm,none": 0.724, |
| "acc_norm_stderr,none": 0.02832853727421142 |
| }, |
| "leaderboard_bbh_object_counting": { |
| "alias": " - leaderboard_bbh_object_counting", |
| "acc_norm,none": 0.476, |
| "acc_norm_stderr,none": 0.03164968895968774 |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "alias": " - leaderboard_bbh_penguins_in_a_table", |
| "acc_norm,none": 0.6506849315068494, |
| "acc_norm_stderr,none": 0.039592236387765004 |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
| "acc_norm,none": 0.84, |
| "acc_norm_stderr,none": 0.023232714782060626 |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "alias": " - leaderboard_bbh_ruin_names", |
| "acc_norm,none": 0.836, |
| "acc_norm_stderr,none": 0.023465261002076715 |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "alias": " - leaderboard_bbh_salient_translation_error_detection", |
| "acc_norm,none": 0.604, |
| "acc_norm_stderr,none": 0.030993197854577898 |
| }, |
| "leaderboard_bbh_snarks": { |
| "alias": " - leaderboard_bbh_snarks", |
| "acc_norm,none": 0.7865168539325843, |
| "acc_norm_stderr,none": 0.030799891078809365 |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "alias": " - leaderboard_bbh_sports_understanding", |
| "acc_norm,none": 0.784, |
| "acc_norm_stderr,none": 0.02607865766373279 |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "alias": " - leaderboard_bbh_temporal_sequences", |
| "acc_norm,none": 0.88, |
| "acc_norm_stderr,none": 0.020593600596839998 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
| "acc_norm,none": 0.264, |
| "acc_norm_stderr,none": 0.027934518957690866 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
| "acc_norm,none": 0.248, |
| "acc_norm_stderr,none": 0.027367497504863593 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
| "acc_norm,none": 0.328, |
| "acc_norm_stderr,none": 0.029752391824475363 |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "alias": " - leaderboard_bbh_web_of_lies", |
| "acc_norm,none": 0.588, |
| "acc_norm_stderr,none": 0.031191596026022818 |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.3859060402684564, |
| "acc_norm_stderr,none": 0.014117422264702886, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "alias": " - leaderboard_gpqa_diamond", |
| "acc_norm,none": 0.3939393939393939, |
| "acc_norm_stderr,none": 0.03481285338232962 |
| }, |
| "leaderboard_gpqa_extended": { |
| "alias": " - leaderboard_gpqa_extended", |
| "acc_norm,none": 0.38461538461538464, |
| "acc_norm_stderr,none": 0.02083955266087989 |
| }, |
| "leaderboard_gpqa_main": { |
| "alias": " - leaderboard_gpqa_main", |
| "acc_norm,none": 0.38392857142857145, |
| "acc_norm_stderr,none": 0.02300313291907409 |
| }, |
| "leaderboard_ifeval": { |
| "alias": " - leaderboard_ifeval", |
| "prompt_level_strict_acc,none": 0.6321626617375231, |
| "prompt_level_strict_acc_stderr,none": 0.02075130655602968, |
| "inst_level_strict_acc,none": 0.7254196642685852, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.6894639556377079, |
| "prompt_level_loose_acc_stderr,none": 0.019912001290591178, |
| "inst_level_loose_acc,none": 0.7709832134292566, |
| "inst_level_loose_acc_stderr,none": "N/A" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.42371601208459214, |
| "exact_match_stderr,none": 0.012500137686468323, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "alias": " - leaderboard_math_algebra_hard", |
| "exact_match,none": 0.6677524429967426, |
| "exact_match_stderr,none": 0.026926377345574907 |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "alias": " - leaderboard_math_counting_and_prob_hard", |
| "exact_match,none": 0.3333333333333333, |
| "exact_match_stderr,none": 0.04267895997763199 |
| }, |
| "leaderboard_math_geometry_hard": { |
| "alias": " - leaderboard_math_geometry_hard", |
| "exact_match,none": 0.2878787878787879, |
| "exact_match_stderr,none": 0.039559076642353926 |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "alias": " - leaderboard_math_intermediate_algebra_hard", |
| "exact_match,none": 0.18214285714285713, |
| "exact_match_stderr,none": 0.023106953811813196 |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "alias": " - leaderboard_math_num_theory_hard", |
| "exact_match,none": 0.4805194805194805, |
| "exact_match_stderr,none": 0.040391912521310615 |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "alias": " - leaderboard_math_prealgebra_hard", |
| "exact_match,none": 0.6217616580310881, |
| "exact_match_stderr,none": 0.03499807276193341 |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "alias": " - leaderboard_math_precalculus_hard", |
| "exact_match,none": 0.23703703703703705, |
| "exact_match_stderr,none": 0.03673731683969509 |
| }, |
| "leaderboard_mmlu_pro": { |
| "alias": " - leaderboard_mmlu_pro", |
| "acc,none": 0.5397273936170213, |
| "acc_stderr,none": 0.0045440586818391625 |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.49867724867724866, |
| "acc_norm_stderr,none": 0.018151388190973543, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "alias": " - leaderboard_musr_murder_mysteries", |
| "acc_norm,none": 0.552, |
| "acc_norm_stderr,none": 0.03151438761115348 |
| }, |
| "leaderboard_musr_object_placements": { |
| "alias": " - leaderboard_musr_object_placements", |
| "acc_norm,none": 0.4453125, |
| "acc_norm_stderr,none": 0.031123364739703004 |
| }, |
| "leaderboard_musr_team_allocation": { |
| "alias": " - leaderboard_musr_team_allocation", |
| "acc_norm,none": 0.5, |
| "acc_norm_stderr,none": 0.031686212526223896 |
| } |
| }, |
| "leaderboard": { |
| "exact_match,none": 0.42371601208459214, |
| "exact_match_stderr,none": 0.012500137686468323, |
| "acc_norm,none": 0.5952782462057336, |
| "acc_norm_stderr,none": 0.005168684580682565, |
| "inst_level_loose_acc,none": 0.7709832134292566, |
| "inst_level_loose_acc_stderr,none": "N/A", |
| "prompt_level_strict_acc,none": 0.6321626617375231, |
| "prompt_level_strict_acc_stderr,none": 0.02075130655602968, |
| "acc,none": 0.5397273936170213, |
| "acc_stderr,none": 0.0045440586818391625, |
| "prompt_level_loose_acc,none": 0.6894639556377079, |
| "prompt_level_loose_acc_stderr,none": 0.019912001290591178, |
| "inst_level_strict_acc,none": 0.7254196642685852, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "alias": "leaderboard" |
| }, |
| "leaderboard_bbh": { |
| "acc_norm,none": 0.6512758201701093, |
| "acc_norm_stderr,none": 0.0057990077785863145, |
| "alias": " - leaderboard_bbh" |
| }, |
| "leaderboard_bbh_boolean_expressions": { |
| "alias": " - leaderboard_bbh_boolean_expressions", |
| "acc_norm,none": 0.88, |
| "acc_norm_stderr,none": 0.020593600596839998 |
| }, |
| "leaderboard_bbh_causal_judgement": { |
| "alias": " - leaderboard_bbh_causal_judgement", |
| "acc_norm,none": 0.6470588235294118, |
| "acc_norm_stderr,none": 0.03504019983419238 |
| }, |
| "leaderboard_bbh_date_understanding": { |
| "alias": " - leaderboard_bbh_date_understanding", |
| "acc_norm,none": 0.676, |
| "acc_norm_stderr,none": 0.029658294924545567 |
| }, |
| "leaderboard_bbh_disambiguation_qa": { |
| "alias": " - leaderboard_bbh_disambiguation_qa", |
| "acc_norm,none": 0.664, |
| "acc_norm_stderr,none": 0.029933259094191533 |
| }, |
| "leaderboard_bbh_formal_fallacies": { |
| "alias": " - leaderboard_bbh_formal_fallacies", |
| "acc_norm,none": 0.708, |
| "acc_norm_stderr,none": 0.028814320402205634 |
| }, |
| "leaderboard_bbh_geometric_shapes": { |
| "alias": " - leaderboard_bbh_geometric_shapes", |
| "acc_norm,none": 0.488, |
| "acc_norm_stderr,none": 0.03167708558254714 |
| }, |
| "leaderboard_bbh_hyperbaton": { |
| "alias": " - leaderboard_bbh_hyperbaton", |
| "acc_norm,none": 0.732, |
| "acc_norm_stderr,none": 0.02806876238252672 |
| }, |
| "leaderboard_bbh_logical_deduction_five_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_five_objects", |
| "acc_norm,none": 0.612, |
| "acc_norm_stderr,none": 0.030881038748993974 |
| }, |
| "leaderboard_bbh_logical_deduction_seven_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_seven_objects", |
| "acc_norm,none": 0.584, |
| "acc_norm_stderr,none": 0.031235856237014505 |
| }, |
| "leaderboard_bbh_logical_deduction_three_objects": { |
| "alias": " - leaderboard_bbh_logical_deduction_three_objects", |
| "acc_norm,none": 0.916, |
| "acc_norm_stderr,none": 0.017578738526776348 |
| }, |
| "leaderboard_bbh_movie_recommendation": { |
| "alias": " - leaderboard_bbh_movie_recommendation", |
| "acc_norm,none": 0.752, |
| "acc_norm_stderr,none": 0.027367497504863593 |
| }, |
| "leaderboard_bbh_navigate": { |
| "alias": " - leaderboard_bbh_navigate", |
| "acc_norm,none": 0.724, |
| "acc_norm_stderr,none": 0.02832853727421142 |
| }, |
| "leaderboard_bbh_object_counting": { |
| "alias": " - leaderboard_bbh_object_counting", |
| "acc_norm,none": 0.476, |
| "acc_norm_stderr,none": 0.03164968895968774 |
| }, |
| "leaderboard_bbh_penguins_in_a_table": { |
| "alias": " - leaderboard_bbh_penguins_in_a_table", |
| "acc_norm,none": 0.6506849315068494, |
| "acc_norm_stderr,none": 0.039592236387765004 |
| }, |
| "leaderboard_bbh_reasoning_about_colored_objects": { |
| "alias": " - leaderboard_bbh_reasoning_about_colored_objects", |
| "acc_norm,none": 0.84, |
| "acc_norm_stderr,none": 0.023232714782060626 |
| }, |
| "leaderboard_bbh_ruin_names": { |
| "alias": " - leaderboard_bbh_ruin_names", |
| "acc_norm,none": 0.836, |
| "acc_norm_stderr,none": 0.023465261002076715 |
| }, |
| "leaderboard_bbh_salient_translation_error_detection": { |
| "alias": " - leaderboard_bbh_salient_translation_error_detection", |
| "acc_norm,none": 0.604, |
| "acc_norm_stderr,none": 0.030993197854577898 |
| }, |
| "leaderboard_bbh_snarks": { |
| "alias": " - leaderboard_bbh_snarks", |
| "acc_norm,none": 0.7865168539325843, |
| "acc_norm_stderr,none": 0.030799891078809365 |
| }, |
| "leaderboard_bbh_sports_understanding": { |
| "alias": " - leaderboard_bbh_sports_understanding", |
| "acc_norm,none": 0.784, |
| "acc_norm_stderr,none": 0.02607865766373279 |
| }, |
| "leaderboard_bbh_temporal_sequences": { |
| "alias": " - leaderboard_bbh_temporal_sequences", |
| "acc_norm,none": 0.88, |
| "acc_norm_stderr,none": 0.020593600596839998 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_five_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects", |
| "acc_norm,none": 0.264, |
| "acc_norm_stderr,none": 0.027934518957690866 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects", |
| "acc_norm,none": 0.248, |
| "acc_norm_stderr,none": 0.027367497504863593 |
| }, |
| "leaderboard_bbh_tracking_shuffled_objects_three_objects": { |
| "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects", |
| "acc_norm,none": 0.328, |
| "acc_norm_stderr,none": 0.029752391824475363 |
| }, |
| "leaderboard_bbh_web_of_lies": { |
| "alias": " - leaderboard_bbh_web_of_lies", |
| "acc_norm,none": 0.588, |
| "acc_norm_stderr,none": 0.031191596026022818 |
| }, |
| "leaderboard_gpqa": { |
| "acc_norm,none": 0.3859060402684564, |
| "acc_norm_stderr,none": 0.014117422264702886, |
| "alias": " - leaderboard_gpqa" |
| }, |
| "leaderboard_gpqa_diamond": { |
| "alias": " - leaderboard_gpqa_diamond", |
| "acc_norm,none": 0.3939393939393939, |
| "acc_norm_stderr,none": 0.03481285338232962 |
| }, |
| "leaderboard_gpqa_extended": { |
| "alias": " - leaderboard_gpqa_extended", |
| "acc_norm,none": 0.38461538461538464, |
| "acc_norm_stderr,none": 0.02083955266087989 |
| }, |
| "leaderboard_gpqa_main": { |
| "alias": " - leaderboard_gpqa_main", |
| "acc_norm,none": 0.38392857142857145, |
| "acc_norm_stderr,none": 0.02300313291907409 |
| }, |
| "leaderboard_ifeval": { |
| "alias": " - leaderboard_ifeval", |
| "prompt_level_strict_acc,none": 0.6321626617375231, |
| "prompt_level_strict_acc_stderr,none": 0.02075130655602968, |
| "inst_level_strict_acc,none": 0.7254196642685852, |
| "inst_level_strict_acc_stderr,none": "N/A", |
| "prompt_level_loose_acc,none": 0.6894639556377079, |
| "prompt_level_loose_acc_stderr,none": 0.019912001290591178, |
| "inst_level_loose_acc,none": 0.7709832134292566, |
| "inst_level_loose_acc_stderr,none": "N/A" |
| }, |
| "leaderboard_math_hard": { |
| "exact_match,none": 0.42371601208459214, |
| "exact_match_stderr,none": 0.012500137686468323, |
| "alias": " - leaderboard_math_hard" |
| }, |
| "leaderboard_math_algebra_hard": { |
| "alias": " - leaderboard_math_algebra_hard", |
| "exact_match,none": 0.6677524429967426, |
| "exact_match_stderr,none": 0.026926377345574907 |
| }, |
| "leaderboard_math_counting_and_prob_hard": { |
| "alias": " - leaderboard_math_counting_and_prob_hard", |
| "exact_match,none": 0.3333333333333333, |
| "exact_match_stderr,none": 0.04267895997763199 |
| }, |
| "leaderboard_math_geometry_hard": { |
| "alias": " - leaderboard_math_geometry_hard", |
| "exact_match,none": 0.2878787878787879, |
| "exact_match_stderr,none": 0.039559076642353926 |
| }, |
| "leaderboard_math_intermediate_algebra_hard": { |
| "alias": " - leaderboard_math_intermediate_algebra_hard", |
| "exact_match,none": 0.18214285714285713, |
| "exact_match_stderr,none": 0.023106953811813196 |
| }, |
| "leaderboard_math_num_theory_hard": { |
| "alias": " - leaderboard_math_num_theory_hard", |
| "exact_match,none": 0.4805194805194805, |
| "exact_match_stderr,none": 0.040391912521310615 |
| }, |
| "leaderboard_math_prealgebra_hard": { |
| "alias": " - leaderboard_math_prealgebra_hard", |
| "exact_match,none": 0.6217616580310881, |
| "exact_match_stderr,none": 0.03499807276193341 |
| }, |
| "leaderboard_math_precalculus_hard": { |
| "alias": " - leaderboard_math_precalculus_hard", |
| "exact_match,none": 0.23703703703703705, |
| "exact_match_stderr,none": 0.03673731683969509 |
| }, |
| "leaderboard_mmlu_pro": { |
| "alias": " - leaderboard_mmlu_pro", |
| "acc,none": 0.5397273936170213, |
| "acc_stderr,none": 0.0045440586818391625 |
| }, |
| "leaderboard_musr": { |
| "acc_norm,none": 0.49867724867724866, |
| "acc_norm_stderr,none": 0.018151388190973543, |
| "alias": " - leaderboard_musr" |
| }, |
| "leaderboard_musr_murder_mysteries": { |
| "alias": " - leaderboard_musr_murder_mysteries", |
| "acc_norm,none": 0.552, |
| "acc_norm_stderr,none": 0.03151438761115348 |
| }, |
| "leaderboard_musr_object_placements": { |
| "alias": " - leaderboard_musr_object_placements", |
| "acc_norm,none": 0.4453125, |
| "acc_norm_stderr,none": 0.031123364739703004 |
| }, |
| "leaderboard_musr_team_allocation": { |
| "alias": " - leaderboard_musr_team_allocation", |
| "acc_norm,none": 0.5, |
| "acc_norm_stderr,none": 0.031686212526223896 |
| } |
| } |
| ``` |
|
|
| ## Dataset Details |
|
|
| ### Dataset Description |
|
|
| <!-- Provide a longer summary of what this dataset is. --> |
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| - **Curated by:** [More Information Needed] |
| - **Funded by [optional]:** [More Information Needed] |
| - **Shared by [optional]:** [More Information Needed] |
| - **Language(s) (NLP):** [More Information Needed] |
| - **License:** [More Information Needed] |
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| ### Dataset Sources [optional] |
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| <!-- Provide the basic links for the dataset. --> |
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| - **Repository:** [More Information Needed] |
| - **Paper [optional]:** [More Information Needed] |
| - **Demo [optional]:** [More Information Needed] |
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| ## Uses |
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| <!-- Address questions around how the dataset is intended to be used. --> |
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| ### Direct Use |
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| <!-- This section describes suitable use cases for the dataset. --> |
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| [More Information Needed] |
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| ### Out-of-Scope Use |
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| <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
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| [More Information Needed] |
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| ## Dataset Structure |
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| <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> |
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| [More Information Needed] |
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| ## Dataset Creation |
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| ### Curation Rationale |
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| <!-- Motivation for the creation of this dataset. --> |
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| [More Information Needed] |
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| ### Source Data |
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| <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
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| #### Data Collection and Processing |
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| <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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| [More Information Needed] |
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| #### Who are the source data producers? |
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| <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> |
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| [More Information Needed] |
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| ### Annotations [optional] |
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| <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> |
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| #### Annotation process |
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| <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> |
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| [More Information Needed] |
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| #### Who are the annotators? |
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| <!-- This section describes the people or systems who created the annotations. --> |
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| [More Information Needed] |
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| #### Personal and Sensitive Information |
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| <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> |
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| [More Information Needed] |
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| ## Bias, Risks, and Limitations |
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| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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| [More Information Needed] |
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| ### Recommendations |
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| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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| Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. |
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| ## Citation [optional] |
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| <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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| **BibTeX:** |
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| [More Information Needed] |
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| **APA:** |
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| ## 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] |
