Datasets:

librarian-bots

/

dataset_cards_with_metadata

like 11

upvantage/claude-context-35k

upvantage

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 57969772 num_examples: 39117 download_size: 29619495 dataset_size: 57969772 configs: - config_name: default data_files: - split: train path: data/train-* ---

mteb/webis-touche2020-v3

mteb

--- dataset_info: - config_name: corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 653065504 num_examples: 303732 download_size: 356788575 dataset_size: 653065504 - config_name: default features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: test num_bytes: 161729 num_examples: 2849 download_size: 52071 dataset_size: 161729 - config_name: queries features: - name: _id dtype: string - name: text dtype: string - name: metadata struct: - name: description dtype: string - name: narrative dtype: string splits: - name: train num_bytes: 25863 num_examples: 49 download_size: 20176 dataset_size: 25863 configs: - config_name: corpus data_files: - split: corpus path: corpus/corpus-* - config_name: default data_files: - split: test path: data/test-* - config_name: queries data_files: - split: train path: queries/train-* ---

Noveled/kr_ink_painting_06

Noveled

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 2646136278.0 num_examples: 477 download_size: 2497424646 dataset_size: 2646136278.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Eka-Korn/distillbert-qa-russian

Eka-Korn

--- dataset_info: features: - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: start_positions dtype: int64 - name: end_positions dtype: int64 - name: sequence_ids sequence: int64 splits: - name: train num_bytes: 388306912.0 num_examples: 57544 - name: test num_bytes: 97083476.0 num_examples: 14387 download_size: 46592442 dataset_size: 485390388.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

Noveled/kr_ink_painting_07

Noveled

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 2675062668.0 num_examples: 498 download_size: 2512727274 dataset_size: 2675062668.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

DLI-Lab/prelim_analysis_description_with_refined_tao_annotation

DLI-Lab

--- dataset_info: features: - name: task_id dtype: string - name: step_idx dtype: int64 - name: cur_observation dtype: string - name: prev_observation dtype: string - name: next_observation dtype: string - name: prev_actions sequence: string - name: gold_action dtype: string - name: objective dtype: string - name: url dtype: string - name: next_state_tao dtype: string - name: new_items dtype: string - name: updated_items dtype: string - name: deleted_items dtype: string - name: value_score dtype: float64 - name: refined_tao dtype: string - name: raw_prediction dtype: string - name: rationale dtype: string - name: next_state_description_with_tao dtype: string - name: raw_neg_actions dtype: string - name: neg_actions sequence: string - name: neg_actions_w_rationale sequence: string - name: neg_next_state_simple sequence: string - name: gt_negative_observations struct: - name: neg_observation0 dtype: string - name: neg_observation1 dtype: string - name: neg_observation2 dtype: string - name: neg_observation3 dtype: string - name: neg_observation4 dtype: string - name: neg_observation5 dtype: string - name: neg_observation6 dtype: string - name: neg_observation7 dtype: string - name: neg_observation8 dtype: string - name: negative_actions struct: - name: neg_action0 dtype: string - name: neg_action1 dtype: string - name: neg_action2 dtype: string - name: neg_action3 dtype: string - name: neg_action4 dtype: string - name: neg_action5 dtype: string - name: neg_action6 dtype: string - name: neg_action7 dtype: string - name: neg_action8 dtype: string - name: neg_tao_list sequence: string - name: neg_update_dict_list list: - name: deleted_items dtype: string - name: new_items dtype: string - name: updated_items dtype: string - name: neg_refined_tao_list sequence: string - name: neg_descriptions_with_tao sequence: string splits: - name: train num_bytes: 89444429 num_examples: 102 download_size: 14029785 dataset_size: 89444429 configs: - config_name: default data_files: - split: train path: data/train-* ---

lokeshreddymtpl/Reformat_dataset-llama2-1k

lokeshreddymtpl

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 2929 num_examples: 29 download_size: 2034 dataset_size: 2929 configs: - config_name: default data_files: - split: train path: data/train-* ---

Noveled/kr_ink_painting_09

Noveled

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 5140249290.85 num_examples: 1075 download_size: 4698505139 dataset_size: 5140249290.85 configs: - config_name: default data_files: - split: train path: data/train-* ---

JaineLi/VL-MIA

JaineLi

--- license: cc-by-4.0 tags: - MIA - ' LLM' - ' VLLM' --- #### VL-MIA VL-MIA is elaborated for membership inference attacks on VLLM :  **Label 0**: Refers to the unseen non-member data. **Label 1**: Refers to member data. #### Finetune datasets the Geometry dataset and the Password dataset. The image in the Geometry dataset consists of a random 4x4 arrangement of geometrical shapes, and the image in the Password dataset consists of a random 6x6 arrangement of characters and digits from EMINST [1] and MNIST. The associated text is its corresponding content (e.g., characters, colors, shapes). We select half of the datasets, that can be considered as the member set, to finetune VLLM while the remaining part is the non-member set.

WebWizard/data_mix_v0.8_stage1

WebWizard

--- dataset_info: features: - name: id dtype: string - name: image dtype: image - name: conversations dtype: string splits: - name: caption num_bytes: 130555482142.75 num_examples: 238395 download_size: 125871427732 dataset_size: 130555482142.75 configs: - config_name: default data_files: - split: caption path: data/caption-* ---

open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table-details

open-llm-leaderboard

--- pretty_name: Evaluation run of yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table](https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table)\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/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table-details\"\ ,\n\tname=\"yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-09-29T15-12-59.528765](https://huggingface.co/datasets/open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table-details/blob/main/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table/results_2024-09-29T15-12-59.528765.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\": 0.08836858006042296,\n \"exact_match_stderr,none\"\ : 0.007640587008385335,\n \"acc,none\": 0.37175864361702127,\n \ \ \"acc_stderr,none\": 0.004405984196843539,\n \"inst_level_loose_acc,none\"\ : 0.8105515587529976,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"inst_level_strict_acc,none\": 0.7266187050359713,\n \ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ : 0.4436373070437151,\n \"acc_norm_stderr,none\": 0.005348605915705943,\n\ \ \"prompt_level_strict_acc,none\": 0.6303142329020333,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.020772943616332303,\n \"\ prompt_level_loose_acc,none\": 0.7319778188539742,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.01906063869163028,\n \"alias\": \"leaderboard\"\n },\n \ \ \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.4922756465891338,\n\ \ \"acc_norm_stderr,none\": 0.006267767960027899,\n \"alias\"\ : \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"acc_norm,none\": 0.808,\n \"acc_norm_stderr,none\"\ : 0.024960691989172005,\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ \n },\n \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\"\ : 0.6042780748663101,\n \"acc_norm_stderr,none\": 0.03585560071592546,\n\ \ \"alias\": \" - leaderboard_bbh_causal_judgement\"\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ : 0.456,\n \"acc_norm_stderr,none\": 0.0315632850612134,\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\": 0.568,\n\ \ \"acc_norm_stderr,none\": 0.031391810765429407,\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\"\ : 0.03156328506121339,\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ \n },\n \"leaderboard_bbh_geometric_shapes\": {\n \"acc_norm,none\"\ : 0.316,\n \"acc_norm_stderr,none\": 0.029462657598578683,\n \ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"\ leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\": 0.564,\n \ \ \"acc_norm_stderr,none\": 0.03142556706028128,\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\"\ : 0.030562070620993163,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968782,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ acc_norm,none\": 0.508,\n \"acc_norm_stderr,none\": 0.0316821564314138,\n\ \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.532,\n\ \ \"acc_norm_stderr,none\": 0.031621252575725504,\n \"alias\"\ : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\"\ : 0.030760116042626042,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ acc_norm,none\": 0.541095890410959,\n \"acc_norm_stderr,none\": 0.041382249050673066,\n\ \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\": 0.030562070620993163,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ : 0.696,\n \"acc_norm_stderr,none\": 0.029150213374159677,\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\"\ : 0.031621252575725504,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ : 0.47752808988764045,\n \"acc_norm_stderr,none\": 0.03754432508487193,\n\ \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.804,\n \"acc_norm_stderr,none\"\ : 0.02515685731325593,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ acc_norm,none\": 0.336,\n \"acc_norm_stderr,none\": 0.029933259094191516,\n\ \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.188,\n \"acc_norm_stderr,none\": 0.02476037772775051,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"acc_norm,none\": 0.192,\n \"acc_norm_stderr,none\"\ : 0.02496069198917202,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"acc_norm,none\": 0.384,\n \"acc_norm_stderr,none\"\ : 0.030821679117375378,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ : 0.484,\n \"acc_norm_stderr,none\": 0.03166998503010742,\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ : {\n \"acc_norm,none\": 0.25922818791946306,\n \"acc_norm_stderr,none\"\ : 0.01270453266853576,\n \"alias\": \" - leaderboard_gpqa\"\n \ \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.26262626262626265,\n\ \ \"acc_norm_stderr,none\": 0.031353050095330855,\n \"alias\"\ : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"acc_norm,none\": 0.2692307692307692,\n \"acc_norm_stderr,none\"\ : 0.019000027142915377,\n \"alias\": \" - leaderboard_gpqa_extended\"\ \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ : 0.24553571428571427,\n \"acc_norm_stderr,none\": 0.020357428454484575,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.6303142329020333,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.020772943616332303,\n \ \ \"inst_level_strict_acc,none\": 0.7266187050359713,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7319778188539742,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.019060638691630282,\n \ \ \"inst_level_loose_acc,none\": 0.8105515587529976,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.08836858006042296,\n\ \ \"exact_match_stderr,none\": 0.007640587008385335,\n \"\ alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.12052117263843648,\n \"exact_match_stderr,none\"\ : 0.018611597654928206,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ \ \"exact_match,none\": 0.032520325203252036,\n \"exact_match_stderr,none\"\ : 0.01605899820587974,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.045454545454545456,\n \"exact_match_stderr,none\": 0.018199158975632696,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ : 0.02857142857142857,\n \"exact_match_stderr,none\": 0.009973998820736026,\n\ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.09740259740259741,\n \"exact_match_stderr,none\": 0.023971024368870247,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ : 0.20725388601036268,\n \"exact_match_stderr,none\": 0.02925282329180363,\n\ \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ \ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.05185185185185185,\n \"exact_match_stderr,none\": 0.019154368449050514,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ \ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.37175864361702127,\n\ \ \"acc_stderr,none\": 0.004405984196843539,\n \"alias\":\ \ \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ \ \"acc_norm,none\": 0.3637566137566138,\n \"acc_norm_stderr,none\"\ : 0.017089741838981088,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ : 0.508,\n \"acc_norm_stderr,none\": 0.031682156431413803,\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\": 0.336,\n \"acc_norm_stderr,none\"\ : 0.029933259094191516,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ \n }\n },\n \"leaderboard\": {\n \"exact_match,none\": 0.08836858006042296,\n\ \ \"exact_match_stderr,none\": 0.007640587008385335,\n \"acc,none\"\ : 0.37175864361702127,\n \"acc_stderr,none\": 0.004405984196843539,\n \ \ \"inst_level_loose_acc,none\": 0.8105515587529976,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"inst_level_strict_acc,none\": 0.7266187050359713,\n \ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\": 0.4436373070437151,\n\ \ \"acc_norm_stderr,none\": 0.005348605915705943,\n \"prompt_level_strict_acc,none\"\ : 0.6303142329020333,\n \"prompt_level_strict_acc_stderr,none\": 0.020772943616332303,\n\ \ \"prompt_level_loose_acc,none\": 0.7319778188539742,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.01906063869163028,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.4922756465891338,\n \"acc_norm_stderr,none\"\ : 0.006267767960027899,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\": 0.808,\n\ \ \"acc_norm_stderr,none\": 0.024960691989172005,\n \"alias\": \"\ \ - leaderboard_bbh_boolean_expressions\"\n },\n \"leaderboard_bbh_causal_judgement\"\ : {\n \"acc_norm,none\": 0.6042780748663101,\n \"acc_norm_stderr,none\"\ : 0.03585560071592546,\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ \n },\n \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ : 0.456,\n \"acc_norm_stderr,none\": 0.0315632850612134,\n \"alias\"\ : \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\": 0.031391810765429407,\n\ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.544,\n \"acc_norm_stderr,none\": 0.03156328506121339,\n\ \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\": 0.029462657598578683,\n\ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ : {\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028128,\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\": 0.030562070620993163,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ : 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968782,\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ : 0.508,\n \"acc_norm_stderr,none\": 0.0316821564314138,\n \"alias\"\ : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ : {\n \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\": 0.030760116042626042,\n\ \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ : {\n \"acc_norm,none\": 0.541095890410959,\n \"acc_norm_stderr,none\"\ : 0.041382249050673066,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.632,\n \"acc_norm_stderr,none\": 0.030562070620993163,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.696,\n\ \ \"acc_norm_stderr,none\": 0.029150213374159677,\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.47752808988764045,\n\ \ \"acc_norm_stderr,none\": 0.03754432508487193,\n \"alias\": \" \ \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.804,\n \"acc_norm_stderr,none\": 0.02515685731325593,\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.336,\n \ \ \"acc_norm_stderr,none\": 0.029933259094191516,\n \"alias\": \" -\ \ leaderboard_bbh_temporal_sequences\"\n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ : {\n \"acc_norm,none\": 0.188,\n \"acc_norm_stderr,none\": 0.02476037772775051,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"acc_norm,none\": 0.192,\n \"acc_norm_stderr,none\": 0.02496069198917202,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"acc_norm,none\": 0.384,\n \"acc_norm_stderr,none\": 0.030821679117375378,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.484,\n\ \ \"acc_norm_stderr,none\": 0.03166998503010742,\n \"alias\": \" \ \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ \ \"acc_norm,none\": 0.25922818791946306,\n \"acc_norm_stderr,none\": 0.01270453266853576,\n\ \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ : {\n \"acc_norm,none\": 0.26262626262626265,\n \"acc_norm_stderr,none\"\ : 0.031353050095330855,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.2692307692307692,\n\ \ \"acc_norm_stderr,none\": 0.019000027142915377,\n \"alias\": \"\ \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ \ \"acc_norm,none\": 0.24553571428571427,\n \"acc_norm_stderr,none\"\ : 0.020357428454484575,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.6303142329020333,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.020772943616332303,\n \ \ \"inst_level_strict_acc,none\": 0.7266187050359713,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7319778188539742,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.019060638691630282,\n \"inst_level_loose_acc,none\"\ : 0.8105515587529976,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.08836858006042296,\n \"exact_match_stderr,none\"\ : 0.007640587008385335,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.12052117263843648,\n\ \ \"exact_match_stderr,none\": 0.018611597654928206,\n \"alias\":\ \ \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.032520325203252036,\n \"exact_match_stderr,none\"\ : 0.01605899820587974,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.045454545454545456,\n \"exact_match_stderr,none\": 0.018199158975632696,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"exact_match,none\": 0.02857142857142857,\n \"exact_match_stderr,none\"\ : 0.009973998820736026,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.09740259740259741,\n \"exact_match_stderr,none\": 0.023971024368870247,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"exact_match,none\": 0.20725388601036268,\n \"exact_match_stderr,none\"\ : 0.02925282329180363,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.05185185185185185,\n \"exact_match_stderr,none\": 0.019154368449050514,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"acc,none\": 0.37175864361702127,\n \"acc_stderr,none\": 0.004405984196843539,\n\ \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.3637566137566138,\n \"acc_norm_stderr,none\"\ : 0.017089741838981088,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.508,\n\ \ \"acc_norm_stderr,none\": 0.031682156431413803,\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\": 0.336,\n \"acc_norm_stderr,none\": 0.029933259094191516,\n\ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" repo_url: https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table leaderboard_url: '' point_of_contact: '' configs: - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_boolean_expressions data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_causal_judgement data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_date_understanding data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_formal_fallacies data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_geometric_shapes data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_hyperbaton data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_movie_recommendation data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_navigate data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_object_counting data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_ruin_names data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_snarks data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_sports_understanding data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_temporal_sequences data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_web_of_lies data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_gpqa_diamond data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_gpqa_extended data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_gpqa_main data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_gpqa_main_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_ifeval data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_ifeval_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_math_algebra_hard data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_math_geometry_hard data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_math_num_theory_hard data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_math_prealgebra_hard data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_math_precalculus_hard data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_mmlu_pro data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_musr_murder_mysteries data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_musr_object_placements data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T15-12-59.528765.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_musr_team_allocation data_files: - split: 2024_09_29T15_12_59.528765 path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T15-12-59.528765.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T15-12-59.528765.jsonl' --- # Dataset Card for Evaluation run of yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table](https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table) 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/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table-details", name="yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-09-29T15-12-59.528765](https://huggingface.co/datasets/open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table-details/blob/main/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_2b-table/results_2024-09-29T15-12-59.528765.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": 0.08836858006042296, "exact_match_stderr,none": 0.007640587008385335, "acc,none": 0.37175864361702127, "acc_stderr,none": 0.004405984196843539, "inst_level_loose_acc,none": 0.8105515587529976, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.7266187050359713, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.4436373070437151, "acc_norm_stderr,none": 0.005348605915705943, "prompt_level_strict_acc,none": 0.6303142329020333, "prompt_level_strict_acc_stderr,none": 0.020772943616332303, "prompt_level_loose_acc,none": 0.7319778188539742, "prompt_level_loose_acc_stderr,none": 0.01906063869163028, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4922756465891338, "acc_norm_stderr,none": 0.006267767960027899, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.024960691989172005, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.6042780748663101, "acc_norm_stderr,none": 0.03585560071592546, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.0315632850612134, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.031391810765429407, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.03156328506121339, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.316, "acc_norm_stderr,none": 0.029462657598578683, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028128, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.368, "acc_norm_stderr,none": 0.030562070620993163, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968782, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.532, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.0316821564314138, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.532, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626042, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.541095890410959, "acc_norm_stderr,none": 0.041382249050673066, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.030562070620993163, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.696, "acc_norm_stderr,none": 0.029150213374159677, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.47752808988764045, "acc_norm_stderr,none": 0.03754432508487193, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.804, "acc_norm_stderr,none": 0.02515685731325593, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.336, "acc_norm_stderr,none": 0.029933259094191516, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.188, "acc_norm_stderr,none": 0.02476037772775051, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.192, "acc_norm_stderr,none": 0.02496069198917202, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.384, "acc_norm_stderr,none": 0.030821679117375378, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.484, "acc_norm_stderr,none": 0.03166998503010742, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.25922818791946306, "acc_norm_stderr,none": 0.01270453266853576, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.26262626262626265, "acc_norm_stderr,none": 0.031353050095330855, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2692307692307692, "acc_norm_stderr,none": 0.019000027142915377, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.24553571428571427, "acc_norm_stderr,none": 0.020357428454484575, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.6303142329020333, "prompt_level_strict_acc_stderr,none": 0.020772943616332303, "inst_level_strict_acc,none": 0.7266187050359713, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7319778188539742, "prompt_level_loose_acc_stderr,none": 0.019060638691630282, "inst_level_loose_acc,none": 0.8105515587529976, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.08836858006042296, "exact_match_stderr,none": 0.007640587008385335, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.12052117263843648, "exact_match_stderr,none": 0.018611597654928206, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.032520325203252036, "exact_match_stderr,none": 0.01605899820587974, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.045454545454545456, "exact_match_stderr,none": 0.018199158975632696, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.02857142857142857, "exact_match_stderr,none": 0.009973998820736026, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.09740259740259741, "exact_match_stderr,none": 0.023971024368870247, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.20725388601036268, "exact_match_stderr,none": 0.02925282329180363, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.05185185185185185, "exact_match_stderr,none": 0.019154368449050514, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.37175864361702127, "acc_stderr,none": 0.004405984196843539, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.3637566137566138, "acc_norm_stderr,none": 0.017089741838981088, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.031682156431413803, "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": 0.336, "acc_norm_stderr,none": 0.029933259094191516, "alias": " - leaderboard_musr_team_allocation" } }, "leaderboard": { "exact_match,none": 0.08836858006042296, "exact_match_stderr,none": 0.007640587008385335, "acc,none": 0.37175864361702127, "acc_stderr,none": 0.004405984196843539, "inst_level_loose_acc,none": 0.8105515587529976, "inst_level_loose_acc_stderr,none": "N/A", "inst_level_strict_acc,none": 0.7266187050359713, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.4436373070437151, "acc_norm_stderr,none": 0.005348605915705943, "prompt_level_strict_acc,none": 0.6303142329020333, "prompt_level_strict_acc_stderr,none": 0.020772943616332303, "prompt_level_loose_acc,none": 0.7319778188539742, "prompt_level_loose_acc_stderr,none": 0.01906063869163028, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4922756465891338, "acc_norm_stderr,none": 0.006267767960027899, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.024960691989172005, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.6042780748663101, "acc_norm_stderr,none": 0.03585560071592546, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.0315632850612134, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.031391810765429407, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.544, "acc_norm_stderr,none": 0.03156328506121339, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.316, "acc_norm_stderr,none": 0.029462657598578683, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028128, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.368, "acc_norm_stderr,none": 0.030562070620993163, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968782, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.532, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.0316821564314138, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.532, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626042, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.541095890410959, "acc_norm_stderr,none": 0.041382249050673066, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.632, "acc_norm_stderr,none": 0.030562070620993163, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.696, "acc_norm_stderr,none": 0.029150213374159677, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.47752808988764045, "acc_norm_stderr,none": 0.03754432508487193, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.804, "acc_norm_stderr,none": 0.02515685731325593, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.336, "acc_norm_stderr,none": 0.029933259094191516, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.188, "acc_norm_stderr,none": 0.02476037772775051, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.192, "acc_norm_stderr,none": 0.02496069198917202, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.384, "acc_norm_stderr,none": 0.030821679117375378, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.484, "acc_norm_stderr,none": 0.03166998503010742, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.25922818791946306, "acc_norm_stderr,none": 0.01270453266853576, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.26262626262626265, "acc_norm_stderr,none": 0.031353050095330855, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2692307692307692, "acc_norm_stderr,none": 0.019000027142915377, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.24553571428571427, "acc_norm_stderr,none": 0.020357428454484575, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.6303142329020333, "prompt_level_strict_acc_stderr,none": 0.020772943616332303, "inst_level_strict_acc,none": 0.7266187050359713, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7319778188539742, "prompt_level_loose_acc_stderr,none": 0.019060638691630282, "inst_level_loose_acc,none": 0.8105515587529976, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.08836858006042296, "exact_match_stderr,none": 0.007640587008385335, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.12052117263843648, "exact_match_stderr,none": 0.018611597654928206, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.032520325203252036, "exact_match_stderr,none": 0.01605899820587974, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.045454545454545456, "exact_match_stderr,none": 0.018199158975632696, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.02857142857142857, "exact_match_stderr,none": 0.009973998820736026, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.09740259740259741, "exact_match_stderr,none": 0.023971024368870247, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.20725388601036268, "exact_match_stderr,none": 0.02925282329180363, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.05185185185185185, "exact_match_stderr,none": 0.019154368449050514, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.37175864361702127, "acc_stderr,none": 0.004405984196843539, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.3637566137566138, "acc_norm_stderr,none": 0.017089741838981088, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.031682156431413803, "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": 0.336, "acc_norm_stderr,none": 0.029933259094191516, "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.). 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qklent/ficbook_char_description

qklent

--- dataset_info: features: - name: url dtype: string - name: likes dtype: int64 - name: num_chapters dtype: int64 - name: char_description dtype: string - name: avg_likes_for_chapters dtype: float64 - name: conversation list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 426290649 num_examples: 12171 download_size: 195340398 dataset_size: 426290649 configs: - config_name: default data_files: - split: train path: data/train-* ---

HuilongChen/ultrafeedback-gpt-3.5-turbo-helpfulness

HuilongChen

--- license: apache-2.0 ---

open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001-details

open-llm-leaderboard

--- pretty_name: Evaluation run of yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001](https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001)\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/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001-details\"\ ,\n\tname=\"yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-09-29T15-18-45.245227](https://huggingface.co/datasets/open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001-details/blob/main/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001/results_2024-09-29T15-18-45.245227.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\": 0.4450642106628616,\n \"acc_norm_stderr,none\"\ : 0.005348427489459913,\n \"exact_match,none\": 0.06722054380664652,\n\ \ \"exact_match_stderr,none\": 0.006704545387077425,\n \"\ prompt_level_loose_acc,none\": 0.7060998151571165,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.019603612015637102,\n \"acc,none\": 0.3702626329787234,\n \ \ \"acc_stderr,none\": 0.00440234233523509,\n \"inst_level_strict_acc,none\"\ : 0.7038369304556354,\n \"inst_level_strict_acc_stderr,none\": \"N/A\"\ ,\n \"prompt_level_strict_acc,none\": 0.5970425138632163,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.021107430256731653,\n \ \ \"inst_level_loose_acc,none\": 0.7985611510791367,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.49401145634438465,\n \"acc_norm_stderr,none\"\ : 0.006265662903366742,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\"\ : 0.808,\n \"acc_norm_stderr,none\": 0.024960691989172012,\n \ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.6042780748663101,\n\ \ \"acc_norm_stderr,none\": 0.03585560071592546,\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\"\ : 0.03162125257572551,\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ \n },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\"\ : 0.608,\n \"acc_norm_stderr,none\": 0.0309382076204012,\n \ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"\ leaderboard_bbh_formal_fallacies\": {\n \"acc_norm,none\": 0.56,\n \ \ \"acc_norm_stderr,none\": 0.03145724452223564,\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\"\ : 0.02946265759857868,\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ \n },\n \"leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\"\ : 0.572,\n \"acc_norm_stderr,none\": 0.0313559689237726,\n \ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.376,\n \"acc_norm_stderr,none\"\ : 0.030696336267394587,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"acc_norm,none\": 0.456,\n \"acc_norm_stderr,none\": 0.03156328506121339,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.03163648953154439,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896,\n\ \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.54,\n\ \ \"acc_norm_stderr,none\": 0.031584653891499,\n \"alias\"\ : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\"\ : 0.030630325944558313,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ acc_norm,none\": 0.541095890410959,\n \"acc_norm_stderr,none\": 0.041382249050673066,\n\ \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\": 0.030418764025174995,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ : 0.692,\n \"acc_norm_stderr,none\": 0.029256928606501864,\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\"\ : 0.031621252575725504,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ : 0.47752808988764045,\n \"acc_norm_stderr,none\": 0.03754432508487193,\n\ \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.792,\n \"acc_norm_stderr,none\"\ : 0.02572139890141639,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475376,\n\ \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.184,\n \"acc_norm_stderr,none\": 0.02455581299422256,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\":\ \ 0.02534897002097908,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"acc_norm,none\": 0.388,\n \"acc_norm_stderr,none\"\ : 0.030881038748993915,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ : 0.48,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ : {\n \"acc_norm,none\": 0.25922818791946306,\n \"acc_norm_stderr,none\"\ : 0.01270453266853576,\n \"alias\": \" - leaderboard_gpqa\"\n \ \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.26262626262626265,\n\ \ \"acc_norm_stderr,none\": 0.031353050095330855,\n \"alias\"\ : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"acc_norm,none\": 0.2692307692307692,\n \"acc_norm_stderr,none\"\ : 0.019000027142915377,\n \"alias\": \" - leaderboard_gpqa_extended\"\ \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ : 0.24553571428571427,\n \"acc_norm_stderr,none\": 0.020357428454484575,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.5970425138632163,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.021107430256731653,\n \ \ \"inst_level_strict_acc,none\": 0.7038369304556354,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7060998151571165,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.019603612015637102,\n \ \ \"inst_level_loose_acc,none\": 0.7985611510791367,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.06722054380664652,\n\ \ \"exact_match_stderr,none\": 0.006704545387077425,\n \"\ alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.11074918566775244,\n \"exact_match_stderr,none\"\ : 0.017939969209400993,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ \ \"exact_match,none\": 0.024390243902439025,\n \"exact_match_stderr,none\"\ : 0.013965813032045563,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.030303030303030304,\n \"exact_match_stderr,none\": 0.014977019714308242,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ : 0.017857142857142856,\n \"exact_match_stderr,none\": 0.00792850338788885,\n\ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.025974025974025976,\n \"exact_match_stderr,none\": 0.012859058999697082,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ : 0.18134715025906736,\n \"exact_match_stderr,none\": 0.02780703236068609,\n\ \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ \ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.02962962962962963,\n \"exact_match_stderr,none\": 0.014648038602753793,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ \ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.3702626329787234,\n\ \ \"acc_stderr,none\": 0.00440234233523509,\n \"alias\": \"\ \ - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ \ \"acc_norm,none\": 0.36507936507936506,\n \"acc_norm_stderr,none\"\ : 0.017128762028354172,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ : 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896,\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"\ leaderboard_musr_object_placements\": {\n \"acc_norm,none\": 0.24609375,\n\ \ \"acc_norm_stderr,none\": 0.026973597563786113,\n \"alias\"\ : \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.352,\n \"acc_norm_stderr,none\"\ : 0.030266288057359935,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ \n }\n },\n \"leaderboard\": {\n \"acc_norm,none\": 0.4450642106628616,\n\ \ \"acc_norm_stderr,none\": 0.005348427489459913,\n \"exact_match,none\"\ : 0.06722054380664652,\n \"exact_match_stderr,none\": 0.006704545387077425,\n\ \ \"prompt_level_loose_acc,none\": 0.7060998151571165,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.019603612015637102,\n \"acc,none\": 0.3702626329787234,\n \"acc_stderr,none\"\ : 0.00440234233523509,\n \"inst_level_strict_acc,none\": 0.7038369304556354,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.5970425138632163,\n \"prompt_level_strict_acc_stderr,none\": 0.021107430256731653,\n\ \ \"inst_level_loose_acc,none\": 0.7985611510791367,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.49401145634438465,\n \"acc_norm_stderr,none\"\ : 0.006265662903366742,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\": 0.808,\n\ \ \"acc_norm_stderr,none\": 0.024960691989172012,\n \"alias\": \"\ \ - leaderboard_bbh_boolean_expressions\"\n },\n \"leaderboard_bbh_causal_judgement\"\ : {\n \"acc_norm,none\": 0.6042780748663101,\n \"acc_norm_stderr,none\"\ : 0.03585560071592546,\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ \n },\n \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ : 0.468,\n \"acc_norm_stderr,none\": 0.03162125257572551,\n \"alias\"\ : \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.0309382076204012,\n\ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223564,\n\ \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\": 0.02946265759857868,\n\ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ : {\n \"acc_norm,none\": 0.572,\n \"acc_norm_stderr,none\": 0.0313559689237726,\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.376,\n \"acc_norm_stderr,none\": 0.030696336267394587,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ : 0.456,\n \"acc_norm_stderr,none\": 0.03156328506121339,\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.03163648953154439,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ : 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896,\n \"alias\"\ : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ : {\n \"acc_norm,none\": 0.54,\n \"acc_norm_stderr,none\": 0.031584653891499,\n\ \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\": 0.030630325944558313,\n\ \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ : {\n \"acc_norm,none\": 0.541095890410959,\n \"acc_norm_stderr,none\"\ : 0.041382249050673066,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\": 0.030418764025174995,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.692,\n\ \ \"acc_norm_stderr,none\": 0.029256928606501864,\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.47752808988764045,\n\ \ \"acc_norm_stderr,none\": 0.03754432508487193,\n \"alias\": \" \ \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.792,\n \"acc_norm_stderr,none\": 0.02572139890141639,\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.328,\n \ \ \"acc_norm_stderr,none\": 0.029752391824475376,\n \"alias\": \" -\ \ leaderboard_bbh_temporal_sequences\"\n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ : {\n \"acc_norm,none\": 0.184,\n \"acc_norm_stderr,none\": 0.02455581299422256,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\": 0.02534897002097908,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"acc_norm,none\": 0.388,\n \"acc_norm_stderr,none\": 0.030881038748993915,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.48,\n\ \ \"acc_norm_stderr,none\": 0.031660853408495185,\n \"alias\": \"\ \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ \ \"acc_norm,none\": 0.25922818791946306,\n \"acc_norm_stderr,none\": 0.01270453266853576,\n\ \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ : {\n \"acc_norm,none\": 0.26262626262626265,\n \"acc_norm_stderr,none\"\ : 0.031353050095330855,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.2692307692307692,\n\ \ \"acc_norm_stderr,none\": 0.019000027142915377,\n \"alias\": \"\ \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ \ \"acc_norm,none\": 0.24553571428571427,\n \"acc_norm_stderr,none\"\ : 0.020357428454484575,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.5970425138632163,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.021107430256731653,\n \ \ \"inst_level_strict_acc,none\": 0.7038369304556354,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7060998151571165,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.019603612015637102,\n \"inst_level_loose_acc,none\"\ : 0.7985611510791367,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.06722054380664652,\n \"exact_match_stderr,none\"\ : 0.006704545387077425,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.11074918566775244,\n\ \ \"exact_match_stderr,none\": 0.017939969209400993,\n \"alias\":\ \ \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.024390243902439025,\n \"exact_match_stderr,none\"\ : 0.013965813032045563,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.030303030303030304,\n \"exact_match_stderr,none\": 0.014977019714308242,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"exact_match,none\": 0.017857142857142856,\n \"exact_match_stderr,none\"\ : 0.00792850338788885,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.025974025974025976,\n \"exact_match_stderr,none\": 0.012859058999697082,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"exact_match,none\": 0.18134715025906736,\n \"exact_match_stderr,none\"\ : 0.02780703236068609,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.02962962962962963,\n \"exact_match_stderr,none\": 0.014648038602753793,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"acc,none\": 0.3702626329787234,\n \"acc_stderr,none\": 0.00440234233523509,\n\ \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.36507936507936506,\n \"acc_norm_stderr,none\"\ : 0.017128762028354172,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.5,\n \ \ \"acc_norm_stderr,none\": 0.031686212526223896,\n \"alias\": \" \ \ - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ : {\n \"acc_norm,none\": 0.24609375,\n \"acc_norm_stderr,none\": 0.026973597563786113,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.352,\n \"acc_norm_stderr,none\": 0.030266288057359935,\n\ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" repo_url: https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001 leaderboard_url: '' point_of_contact: '' configs: - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_boolean_expressions data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_causal_judgement data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_date_understanding data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_formal_fallacies data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_geometric_shapes data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_hyperbaton data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_movie_recommendation data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_navigate data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_object_counting data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_ruin_names data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_snarks data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_sports_understanding data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_temporal_sequences data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_web_of_lies data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_gpqa_diamond data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_gpqa_extended data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_gpqa_main data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_gpqa_main_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_ifeval data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_ifeval_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_math_algebra_hard data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_math_geometry_hard data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_math_num_theory_hard data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_math_prealgebra_hard data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_math_precalculus_hard data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_mmlu_pro data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_musr_murder_mysteries data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_musr_object_placements data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T15-18-45.245227.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_musr_team_allocation data_files: - split: 2024_09_29T15_18_45.245227 path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T15-18-45.245227.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T15-18-45.245227.jsonl' --- # Dataset Card for Evaluation run of yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001](https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001) 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/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001-details", name="yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-09-29T15-18-45.245227](https://huggingface.co/datasets/open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001-details/blob/main/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_2b-table-0.001/results_2024-09-29T15-18-45.245227.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": 0.4450642106628616, "acc_norm_stderr,none": 0.005348427489459913, "exact_match,none": 0.06722054380664652, "exact_match_stderr,none": 0.006704545387077425, "prompt_level_loose_acc,none": 0.7060998151571165, "prompt_level_loose_acc_stderr,none": 0.019603612015637102, "acc,none": 0.3702626329787234, "acc_stderr,none": 0.00440234233523509, "inst_level_strict_acc,none": 0.7038369304556354, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.5970425138632163, "prompt_level_strict_acc_stderr,none": 0.021107430256731653, "inst_level_loose_acc,none": 0.7985611510791367, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.49401145634438465, "acc_norm_stderr,none": 0.006265662903366742, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.024960691989172012, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.6042780748663101, "acc_norm_stderr,none": 0.03585560071592546, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.03162125257572551, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.0309382076204012, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223564, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.316, "acc_norm_stderr,none": 0.02946265759857868, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.0313559689237726, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.376, "acc_norm_stderr,none": 0.030696336267394587, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.03156328506121339, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.03163648953154439, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.5, "acc_norm_stderr,none": 0.031686212526223896, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.030630325944558313, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.541095890410959, "acc_norm_stderr,none": 0.041382249050673066, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.030418764025174995, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.692, "acc_norm_stderr,none": 0.029256928606501864, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.47752808988764045, "acc_norm_stderr,none": 0.03754432508487193, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.792, "acc_norm_stderr,none": 0.02572139890141639, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475376, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.184, "acc_norm_stderr,none": 0.02455581299422256, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.2, "acc_norm_stderr,none": 0.02534897002097908, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.388, "acc_norm_stderr,none": 0.030881038748993915, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.25922818791946306, "acc_norm_stderr,none": 0.01270453266853576, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.26262626262626265, "acc_norm_stderr,none": 0.031353050095330855, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2692307692307692, "acc_norm_stderr,none": 0.019000027142915377, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.24553571428571427, "acc_norm_stderr,none": 0.020357428454484575, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.5970425138632163, "prompt_level_strict_acc_stderr,none": 0.021107430256731653, "inst_level_strict_acc,none": 0.7038369304556354, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7060998151571165, "prompt_level_loose_acc_stderr,none": 0.019603612015637102, "inst_level_loose_acc,none": 0.7985611510791367, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.06722054380664652, "exact_match_stderr,none": 0.006704545387077425, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.11074918566775244, "exact_match_stderr,none": 0.017939969209400993, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.024390243902439025, "exact_match_stderr,none": 0.013965813032045563, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.030303030303030304, "exact_match_stderr,none": 0.014977019714308242, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.017857142857142856, "exact_match_stderr,none": 0.00792850338788885, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.025974025974025976, "exact_match_stderr,none": 0.012859058999697082, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.18134715025906736, "exact_match_stderr,none": 0.02780703236068609, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.02962962962962963, "exact_match_stderr,none": 0.014648038602753793, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.3702626329787234, "acc_stderr,none": 0.00440234233523509, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.36507936507936506, "acc_norm_stderr,none": 0.017128762028354172, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.5, "acc_norm_stderr,none": 0.031686212526223896, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.24609375, "acc_norm_stderr,none": 0.026973597563786113, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.352, "acc_norm_stderr,none": 0.030266288057359935, "alias": " - leaderboard_musr_team_allocation" } }, "leaderboard": { "acc_norm,none": 0.4450642106628616, "acc_norm_stderr,none": 0.005348427489459913, "exact_match,none": 0.06722054380664652, "exact_match_stderr,none": 0.006704545387077425, "prompt_level_loose_acc,none": 0.7060998151571165, "prompt_level_loose_acc_stderr,none": 0.019603612015637102, "acc,none": 0.3702626329787234, "acc_stderr,none": 0.00440234233523509, "inst_level_strict_acc,none": 0.7038369304556354, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.5970425138632163, "prompt_level_strict_acc_stderr,none": 0.021107430256731653, "inst_level_loose_acc,none": 0.7985611510791367, "inst_level_loose_acc_stderr,none": "N/A", "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.49401145634438465, "acc_norm_stderr,none": 0.006265662903366742, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.808, "acc_norm_stderr,none": 0.024960691989172012, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.6042780748663101, "acc_norm_stderr,none": 0.03585560071592546, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.03162125257572551, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.0309382076204012, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223564, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.316, "acc_norm_stderr,none": 0.02946265759857868, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.572, "acc_norm_stderr,none": 0.0313559689237726, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.376, "acc_norm_stderr,none": 0.030696336267394587, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.456, "acc_norm_stderr,none": 0.03156328506121339, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.03163648953154439, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.5, "acc_norm_stderr,none": 0.031686212526223896, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.030630325944558313, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.541095890410959, "acc_norm_stderr,none": 0.041382249050673066, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.030418764025174995, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.692, "acc_norm_stderr,none": 0.029256928606501864, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.47752808988764045, "acc_norm_stderr,none": 0.03754432508487193, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.792, "acc_norm_stderr,none": 0.02572139890141639, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475376, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.184, "acc_norm_stderr,none": 0.02455581299422256, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.2, "acc_norm_stderr,none": 0.02534897002097908, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.388, "acc_norm_stderr,none": 0.030881038748993915, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.25922818791946306, "acc_norm_stderr,none": 0.01270453266853576, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.26262626262626265, "acc_norm_stderr,none": 0.031353050095330855, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2692307692307692, "acc_norm_stderr,none": 0.019000027142915377, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.24553571428571427, "acc_norm_stderr,none": 0.020357428454484575, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.5970425138632163, "prompt_level_strict_acc_stderr,none": 0.021107430256731653, "inst_level_strict_acc,none": 0.7038369304556354, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7060998151571165, "prompt_level_loose_acc_stderr,none": 0.019603612015637102, "inst_level_loose_acc,none": 0.7985611510791367, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.06722054380664652, "exact_match_stderr,none": 0.006704545387077425, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.11074918566775244, "exact_match_stderr,none": 0.017939969209400993, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.024390243902439025, "exact_match_stderr,none": 0.013965813032045563, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.030303030303030304, "exact_match_stderr,none": 0.014977019714308242, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.017857142857142856, "exact_match_stderr,none": 0.00792850338788885, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.025974025974025976, "exact_match_stderr,none": 0.012859058999697082, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.18134715025906736, "exact_match_stderr,none": 0.02780703236068609, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.02962962962962963, "exact_match_stderr,none": 0.014648038602753793, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.3702626329787234, "acc_stderr,none": 0.00440234233523509, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.36507936507936506, "acc_norm_stderr,none": 0.017128762028354172, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.5, "acc_norm_stderr,none": 0.031686212526223896, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.24609375, "acc_norm_stderr,none": 0.026973597563786113, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.352, "acc_norm_stderr,none": 0.030266288057359935, "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. 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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]

VaggP/Eedi-competition-kaggle-prompt-formats

VaggP

--- dataset_info: features: - name: conversations list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 2574794 num_examples: 4370 download_size: 519586 dataset_size: 2574794 configs: - config_name: default data_files: - split: train path: data/train-* ---

ServiceNow/BigDoc-FT-v0.10

ServiceNow

--- dataset_info: features: - name: sample_id dtype: string - name: dataset_name dtype: string - name: annotations sequence: string - name: queries sequence: string - name: task_name dtype: string - name: image dtype: binary splits: - name: train num_bytes: 132648482024 num_examples: 547462 - name: test num_bytes: 975237195 num_examples: 5650 - name: hidden_test num_bytes: 930561355 num_examples: 5650 - name: val num_bytes: 2068762564 num_examples: 11300 download_size: 133494944371 dataset_size: 136623043138 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: hidden_test path: data/hidden_test-* - split: val path: data/val-* ---

motorfireman1/finetuning_demo22

motorfireman1

--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 232459 num_examples: 31 download_size: 47314 dataset_size: 232459 configs: - config_name: default data_files: - split: train path: data/train-* ---

heikal/arabic_call_splitted_7

heikal

--- dataset_info: features: - name: client_id dtype: string - name: audio dtype: audio - name: sentence dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 74258852.0 num_examples: 80 - name: test num_bytes: 7367883.0 num_examples: 9 download_size: 79719147 dataset_size: 81626735.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table-details

open-llm-leaderboard

--- pretty_name: Evaluation run of yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table](https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table)\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/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table-details\"\ ,\n\tname=\"yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-09-29T15-24-35.214199](https://huggingface.co/datasets/open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table-details/blob/main/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table/results_2024-09-29T15-24-35.214199.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_loose_acc,none\": 0.8369304556354916,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"exact_match,none\":\ \ 0.08610271903323263,\n \"exact_match_stderr,none\": 0.007549162688514089,\n\ \ \"acc,none\": 0.36826795212765956,\n \"acc_stderr,none\"\ : 0.0043974160240703485,\n \"acc_norm,none\": 0.4509015436502789,\n \ \ \"acc_norm_stderr,none\": 0.005347396617859254,\n \"prompt_level_strict_acc,none\"\ : 0.6709796672828097,\n \"prompt_level_strict_acc_stderr,none\": 0.020219442118538433,\n\ \ \"inst_level_strict_acc,none\": 0.7553956834532374,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7726432532347505,\n \"prompt_level_loose_acc_stderr,none\": 0.01803626267364009,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.5011282763409131,\n \"acc_norm_stderr,none\"\ : 0.0062614921080603415,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\"\ : 0.788,\n \"acc_norm_stderr,none\": 0.025901884690541156,\n \ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5882352941176471,\n\ \ \"acc_norm_stderr,none\": 0.03608640563085621,\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.464,\n \"acc_norm_stderr,none\"\ : 0.031603975145223735,\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ \n },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\"\ : 0.628,\n \"acc_norm_stderr,none\": 0.030630325944558317,\n \ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"\ leaderboard_bbh_formal_fallacies\": {\n \"acc_norm,none\": 0.588,\n \ \ \"acc_norm_stderr,none\": 0.031191596026022894,\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.308,\n \"acc_norm_stderr,none\"\ : 0.029256928606501864,\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ \n },\n \"leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\"\ : 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941,\n \ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.388,\n \"acc_norm_stderr,none\"\ : 0.03088103874899391,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554574,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.0316364895315444,\n\ \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.552,\n\ \ \"acc_norm_stderr,none\": 0.031514387611153515,\n \"alias\"\ : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\"\ : 0.030760116042626042,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ acc_norm,none\": 0.5342465753424658,\n \"acc_norm_stderr,none\": 0.04142522736934775,\n\ \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359942,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ : 0.716,\n \"acc_norm_stderr,none\": 0.0285769587304374,\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\"\ : 0.03164968895968781,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ : 0.4943820224719101,\n \"acc_norm_stderr,none\": 0.03757992900475981,\n\ \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.796,\n \"acc_norm_stderr,none\"\ : 0.02553712157454814,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.029150213374159673,\n\ \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.188,\n \"acc_norm_stderr,none\": 0.024760377727750495,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\"\ : 0.02590188469054116,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\"\ : 0.0309382076204012,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ : 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968782,\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ : {\n \"acc_norm,none\": 0.25922818791946306,\n \"acc_norm_stderr,none\"\ : 0.01270453266853576,\n \"alias\": \" - leaderboard_gpqa\"\n \ \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.26262626262626265,\n\ \ \"acc_norm_stderr,none\": 0.031353050095330855,\n \"alias\"\ : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"acc_norm,none\": 0.2692307692307692,\n \"acc_norm_stderr,none\"\ : 0.019000027142915377,\n \"alias\": \" - leaderboard_gpqa_extended\"\ \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ : 0.24553571428571427,\n \"acc_norm_stderr,none\": 0.020357428454484575,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.6709796672828097,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.020219442118538433,\n \ \ \"inst_level_strict_acc,none\": 0.7553956834532374,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7726432532347505,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01803626267364009,\n \ \ \"inst_level_loose_acc,none\": 0.8369304556354916,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.08610271903323263,\n\ \ \"exact_match_stderr,none\": 0.007549162688514089,\n \"\ alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.13029315960912052,\n \"exact_match_stderr,none\"\ : 0.01924360959782677,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ \ \"exact_match,none\": 0.04878048780487805,\n \"exact_match_stderr,none\"\ : 0.01950219655858807,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.022727272727272728,\n \"exact_match_stderr,none\": 0.013021046909063713,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ : 0.03214285714285714,\n \"exact_match_stderr,none\": 0.010559558661753198,\n\ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.08441558441558442,\n \"exact_match_stderr,none\": 0.02247578123186701,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ : 0.19689119170984457,\n \"exact_match_stderr,none\": 0.028697873971860695,\n\ \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ \ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.037037037037037035,\n \"exact_match_stderr,none\": 0.016314377626726054,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ \ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.36826795212765956,\n\ \ \"acc_stderr,none\": 0.0043974160240703485,\n \"alias\"\ : \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ \ \"acc_norm,none\": 0.37037037037037035,\n \"acc_norm_stderr,none\"\ : 0.017183843300707654,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ : 0.504,\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\": 0.36,\n \"acc_norm_stderr,none\"\ : 0.03041876402517498,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ \n }\n },\n \"leaderboard\": {\n \"inst_level_loose_acc,none\"\ : 0.8369304556354916,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"exact_match,none\": 0.08610271903323263,\n \"exact_match_stderr,none\"\ : 0.007549162688514089,\n \"acc,none\": 0.36826795212765956,\n \"\ acc_stderr,none\": 0.0043974160240703485,\n \"acc_norm,none\": 0.4509015436502789,\n\ \ \"acc_norm_stderr,none\": 0.005347396617859254,\n \"prompt_level_strict_acc,none\"\ : 0.6709796672828097,\n \"prompt_level_strict_acc_stderr,none\": 0.020219442118538433,\n\ \ \"inst_level_strict_acc,none\": 0.7553956834532374,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7726432532347505,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01803626267364009,\n \"alias\"\ : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.5011282763409131,\n \"acc_norm_stderr,none\": 0.0062614921080603415,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"acc_norm,none\": 0.788,\n \"acc_norm_stderr,none\": 0.025901884690541156,\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5882352941176471,\n\ \ \"acc_norm_stderr,none\": 0.03608640563085621,\n \"alias\": \" \ \ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.464,\n \"acc_norm_stderr,none\": 0.031603975145223735,\n\ \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"acc_norm,none\": 0.628,\n \"acc_norm_stderr,none\": 0.030630325944558317,\n\ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.588,\n \"acc_norm_stderr,none\": 0.031191596026022894,\n\ \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.308,\n \"acc_norm_stderr,none\": 0.029256928606501864,\n\ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ : {\n \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941,\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.388,\n \"acc_norm_stderr,none\": 0.03088103874899391,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"acc_norm,none\": 0.556,\n \"acc_norm_stderr,none\": 0.03148684942554574,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ : 0.528,\n \"acc_norm_stderr,none\": 0.0316364895315444,\n \"alias\"\ : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ : {\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.031514387611153515,\n\ \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.38,\n \"acc_norm_stderr,none\": 0.030760116042626042,\n\ \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ : {\n \"acc_norm,none\": 0.5342465753424658,\n \"acc_norm_stderr,none\"\ : 0.04142522736934775,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.030266288057359942,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.716,\n\ \ \"acc_norm_stderr,none\": 0.0285769587304374,\n \"alias\": \" -\ \ leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968781,\n\ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.4943820224719101,\n\ \ \"acc_norm_stderr,none\": 0.03757992900475981,\n \"alias\": \" \ \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.796,\n \"acc_norm_stderr,none\": 0.02553712157454814,\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.304,\n \ \ \"acc_norm_stderr,none\": 0.029150213374159673,\n \"alias\": \" -\ \ leaderboard_bbh_temporal_sequences\"\n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ : {\n \"acc_norm,none\": 0.188,\n \"acc_norm_stderr,none\": 0.024760377727750495,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.02590188469054116,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\": 0.0309382076204012,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.476,\n\ \ \"acc_norm_stderr,none\": 0.03164968895968782,\n \"alias\": \" \ \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ \ \"acc_norm,none\": 0.25922818791946306,\n \"acc_norm_stderr,none\": 0.01270453266853576,\n\ \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ : {\n \"acc_norm,none\": 0.26262626262626265,\n \"acc_norm_stderr,none\"\ : 0.031353050095330855,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.2692307692307692,\n\ \ \"acc_norm_stderr,none\": 0.019000027142915377,\n \"alias\": \"\ \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ \ \"acc_norm,none\": 0.24553571428571427,\n \"acc_norm_stderr,none\"\ : 0.020357428454484575,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.6709796672828097,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.020219442118538433,\n \ \ \"inst_level_strict_acc,none\": 0.7553956834532374,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7726432532347505,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01803626267364009,\n \"inst_level_loose_acc,none\"\ : 0.8369304556354916,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.08610271903323263,\n \"exact_match_stderr,none\"\ : 0.007549162688514089,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.13029315960912052,\n\ \ \"exact_match_stderr,none\": 0.01924360959782677,\n \"alias\": \"\ \ - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.04878048780487805,\n \"exact_match_stderr,none\"\ : 0.01950219655858807,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.022727272727272728,\n \"exact_match_stderr,none\": 0.013021046909063713,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"exact_match,none\": 0.03214285714285714,\n \"exact_match_stderr,none\"\ : 0.010559558661753198,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.08441558441558442,\n \"exact_match_stderr,none\": 0.02247578123186701,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"exact_match,none\": 0.19689119170984457,\n \"exact_match_stderr,none\"\ : 0.028697873971860695,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.037037037037037035,\n \"exact_match_stderr,none\": 0.016314377626726054,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"acc,none\": 0.36826795212765956,\n \"acc_stderr,none\": 0.0043974160240703485,\n\ \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.37037037037037035,\n \"acc_norm_stderr,none\"\ : 0.017183843300707654,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.504,\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\": 0.36,\n \"acc_norm_stderr,none\": 0.03041876402517498,\n\ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" repo_url: https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table leaderboard_url: '' point_of_contact: '' configs: - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_boolean_expressions data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_causal_judgement data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_date_understanding data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_formal_fallacies data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_geometric_shapes data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_hyperbaton data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_movie_recommendation data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_navigate data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_object_counting data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_ruin_names data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_snarks data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_sports_understanding data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_temporal_sequences data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_web_of_lies data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_gpqa_diamond data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_gpqa_extended data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_gpqa_main data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_gpqa_main_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_ifeval data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_ifeval_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_math_algebra_hard data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_math_geometry_hard data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_math_num_theory_hard data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_math_prealgebra_hard data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_math_precalculus_hard data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_mmlu_pro data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_musr_murder_mysteries data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_musr_object_placements data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T15-24-35.214199.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_musr_team_allocation data_files: - split: 2024_09_29T15_24_35.214199 path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T15-24-35.214199.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T15-24-35.214199.jsonl' --- # Dataset Card for Evaluation run of yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table](https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table) 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/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table-details", name="yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-09-29T15-24-35.214199](https://huggingface.co/datasets/open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table-details/blob/main/yfzp__Llama-3-8B-Instruct-SPPO-Iter1_gp_8b-table/results_2024-09-29T15-24-35.214199.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.08610271903323263, "exact_match_stderr,none": 0.007549162688514089, "acc,none": 0.36826795212765956, "acc_stderr,none": 0.0043974160240703485, "acc_norm,none": 0.4509015436502789, "acc_norm_stderr,none": 0.005347396617859254, "prompt_level_strict_acc,none": 0.6709796672828097, "prompt_level_strict_acc_stderr,none": 0.020219442118538433, "inst_level_strict_acc,none": 0.7553956834532374, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7726432532347505, "prompt_level_loose_acc_stderr,none": 0.01803626267364009, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.5011282763409131, "acc_norm_stderr,none": 0.0062614921080603415, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541156, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.5882352941176471, "acc_norm_stderr,none": 0.03608640563085621, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.031603975145223735, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.628, "acc_norm_stderr,none": 0.030630325944558317, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022894, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.308, "acc_norm_stderr,none": 0.029256928606501864, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.388, "acc_norm_stderr,none": 0.03088103874899391, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254709, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554574, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.0316364895315444, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.031514387611153515, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626042, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.5342465753424658, "acc_norm_stderr,none": 0.04142522736934775, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359942, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.716, "acc_norm_stderr,none": 0.0285769587304374, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968781, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.4943820224719101, "acc_norm_stderr,none": 0.03757992900475981, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.796, "acc_norm_stderr,none": 0.02553712157454814, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.029150213374159673, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.188, "acc_norm_stderr,none": 0.024760377727750495, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.02590188469054116, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.392, "acc_norm_stderr,none": 0.0309382076204012, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968782, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.25922818791946306, "acc_norm_stderr,none": 0.01270453266853576, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.26262626262626265, "acc_norm_stderr,none": 0.031353050095330855, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2692307692307692, "acc_norm_stderr,none": 0.019000027142915377, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.24553571428571427, "acc_norm_stderr,none": 0.020357428454484575, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.6709796672828097, "prompt_level_strict_acc_stderr,none": 0.020219442118538433, "inst_level_strict_acc,none": 0.7553956834532374, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7726432532347505, "prompt_level_loose_acc_stderr,none": 0.01803626267364009, "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.08610271903323263, "exact_match_stderr,none": 0.007549162688514089, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.13029315960912052, "exact_match_stderr,none": 0.01924360959782677, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.04878048780487805, "exact_match_stderr,none": 0.01950219655858807, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.022727272727272728, "exact_match_stderr,none": 0.013021046909063713, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.03214285714285714, "exact_match_stderr,none": 0.010559558661753198, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.08441558441558442, "exact_match_stderr,none": 0.02247578123186701, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.19689119170984457, "exact_match_stderr,none": 0.028697873971860695, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.037037037037037035, "exact_match_stderr,none": 0.016314377626726054, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.36826795212765956, "acc_stderr,none": 0.0043974160240703485, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.37037037037037035, "acc_norm_stderr,none": 0.017183843300707654, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.504, "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": 0.36, "acc_norm_stderr,none": 0.03041876402517498, "alias": " - leaderboard_musr_team_allocation" } }, "leaderboard": { "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.08610271903323263, "exact_match_stderr,none": 0.007549162688514089, "acc,none": 0.36826795212765956, "acc_stderr,none": 0.0043974160240703485, "acc_norm,none": 0.4509015436502789, "acc_norm_stderr,none": 0.005347396617859254, "prompt_level_strict_acc,none": 0.6709796672828097, "prompt_level_strict_acc_stderr,none": 0.020219442118538433, "inst_level_strict_acc,none": 0.7553956834532374, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7726432532347505, "prompt_level_loose_acc_stderr,none": 0.01803626267364009, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.5011282763409131, "acc_norm_stderr,none": 0.0062614921080603415, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541156, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.5882352941176471, "acc_norm_stderr,none": 0.03608640563085621, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.031603975145223735, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.628, "acc_norm_stderr,none": 0.030630325944558317, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.588, "acc_norm_stderr,none": 0.031191596026022894, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.308, "acc_norm_stderr,none": 0.029256928606501864, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.388, "acc_norm_stderr,none": 0.03088103874899391, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254709, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.556, "acc_norm_stderr,none": 0.03148684942554574, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.0316364895315444, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.031514387611153515, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.38, "acc_norm_stderr,none": 0.030760116042626042, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.5342465753424658, "acc_norm_stderr,none": 0.04142522736934775, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.030266288057359942, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.716, "acc_norm_stderr,none": 0.0285769587304374, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968781, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.4943820224719101, "acc_norm_stderr,none": 0.03757992900475981, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.796, "acc_norm_stderr,none": 0.02553712157454814, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.029150213374159673, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.188, "acc_norm_stderr,none": 0.024760377727750495, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.02590188469054116, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.392, "acc_norm_stderr,none": 0.0309382076204012, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968782, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.25922818791946306, "acc_norm_stderr,none": 0.01270453266853576, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.26262626262626265, "acc_norm_stderr,none": 0.031353050095330855, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2692307692307692, "acc_norm_stderr,none": 0.019000027142915377, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.24553571428571427, "acc_norm_stderr,none": 0.020357428454484575, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.6709796672828097, "prompt_level_strict_acc_stderr,none": 0.020219442118538433, "inst_level_strict_acc,none": 0.7553956834532374, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7726432532347505, "prompt_level_loose_acc_stderr,none": 0.01803626267364009, "inst_level_loose_acc,none": 0.8369304556354916, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.08610271903323263, "exact_match_stderr,none": 0.007549162688514089, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.13029315960912052, "exact_match_stderr,none": 0.01924360959782677, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.04878048780487805, "exact_match_stderr,none": 0.01950219655858807, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.022727272727272728, "exact_match_stderr,none": 0.013021046909063713, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.03214285714285714, "exact_match_stderr,none": 0.010559558661753198, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.08441558441558442, "exact_match_stderr,none": 0.02247578123186701, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.19689119170984457, "exact_match_stderr,none": 0.028697873971860695, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.037037037037037035, "exact_match_stderr,none": 0.016314377626726054, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.36826795212765956, "acc_stderr,none": 0.0043974160240703485, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.37037037037037035, "acc_norm_stderr,none": 0.017183843300707654, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.504, "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": 0.36, "acc_norm_stderr,none": 0.03041876402517498, "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. 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PurpleAILAB/chatML_SQL_injection_dataset

PurpleAILAB

--- dataset_info: features: - name: conversations struct: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 417230 num_examples: 3992 download_size: 57358 dataset_size: 417230 configs: - config_name: default data_files: - split: train path: data/train-* ---

PurpleAILAB/alpaca_SQL_injection_dataset

PurpleAILAB

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 393278 num_examples: 1996 download_size: 55184 dataset_size: 393278 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002-details

open-llm-leaderboard

--- pretty_name: Evaluation run of yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002](https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002)\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/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002-details\"\ ,\n\tname=\"yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-09-29T15-31-50.382131](https://huggingface.co/datasets/open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002-details/blob/main/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002/results_2024-09-29T15-31-50.382131.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_strict_acc,none\": 0.7470023980815348,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.7652495378927912,\n \"prompt_level_loose_acc_stderr,none\": 0.01823928821343378,\n\ \ \"inst_level_loose_acc,none\": 0.8357314148681055,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc,none\": 0.366938164893617,\n\ \ \"acc_stderr,none\": 0.00439408693623272,\n \"prompt_level_strict_acc,none\"\ : 0.6561922365988909,\n \"prompt_level_strict_acc_stderr,none\": 0.020439793487859976,\n\ \ \"exact_match,none\": 0.06570996978851963,\n \"exact_match_stderr,none\"\ : 0.0066807029923575765,\n \"acc_norm,none\": 0.44882604747697497,\n\ \ \"acc_norm_stderr,none\": 0.005342481492488792,\n \"alias\"\ : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.4974830758548863,\n \"acc_norm_stderr,none\": 0.006249798665250531,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"acc_norm,none\": 0.788,\n \"acc_norm_stderr,none\"\ : 0.025901884690541156,\n \"alias\": \" - leaderboard_bbh_boolean_expressions\"\ \n },\n \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\"\ : 0.5882352941176471,\n \"acc_norm_stderr,none\": 0.03608640563085621,\n\ \ \"alias\": \" - leaderboard_bbh_causal_judgement\"\n },\n \ \ \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ : 0.484,\n \"acc_norm_stderr,none\": 0.031669985030107414,\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \ \ \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\": 0.624,\n\ \ \"acc_norm_stderr,none\": 0.03069633626739458,\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\"\ : 0.03139181076542941,\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ \n },\n \"leaderboard_bbh_geometric_shapes\": {\n \"acc_norm,none\"\ : 0.304,\n \"acc_norm_stderr,none\": 0.029150213374159673,\n \ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"\ leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\": 0.592,\n \ \ \"acc_norm_stderr,none\": 0.03114520984654849,\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\"\ : 0.030938207620401195,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"acc_norm,none\": 0.464,\n \"acc_norm_stderr,none\": 0.03160397514522373,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.031514387611153515,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ acc_norm,none\": 0.516,\n \"acc_norm_stderr,none\": 0.031669985030107414,\n\ \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.536,\n\ \ \"acc_norm_stderr,none\": 0.03160397514522375,\n \"alias\"\ : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\"\ : 0.030630325944558313,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ acc_norm,none\": 0.541095890410959,\n \"acc_norm_stderr,none\": 0.041382249050673066,\n\ \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.652,\n \"acc_norm_stderr,none\": 0.0301865684645117,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ : 0.712,\n \"acc_norm_stderr,none\": 0.02869700458739821,\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\"\ : 0.031660853408495185,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ : 0.4943820224719101,\n \"acc_norm_stderr,none\": 0.03757992900475981,\n\ \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.796,\n \"acc_norm_stderr,none\"\ : 0.02553712157454814,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ acc_norm,none\": 0.272,\n \"acc_norm_stderr,none\": 0.02820008829631,\n\ \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.184,\n \"acc_norm_stderr,none\": 0.02455581299422256,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\"\ : 0.02590188469054116,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"acc_norm,none\": 0.376,\n \"acc_norm_stderr,none\"\ : 0.030696336267394583,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ : 0.48,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ : {\n \"acc_norm,none\": 0.25922818791946306,\n \"acc_norm_stderr,none\"\ : 0.01270453266853576,\n \"alias\": \" - leaderboard_gpqa\"\n \ \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.26262626262626265,\n\ \ \"acc_norm_stderr,none\": 0.031353050095330855,\n \"alias\"\ : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"acc_norm,none\": 0.2692307692307692,\n \"acc_norm_stderr,none\"\ : 0.019000027142915377,\n \"alias\": \" - leaderboard_gpqa_extended\"\ \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ : 0.24553571428571427,\n \"acc_norm_stderr,none\": 0.020357428454484575,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.6561922365988909,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.020439793487859976,\n \ \ \"inst_level_strict_acc,none\": 0.7470023980815348,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7652495378927912,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01823928821343378,\n \ \ \"inst_level_loose_acc,none\": 0.8357314148681055,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.06570996978851963,\n\ \ \"exact_match_stderr,none\": 0.006680702992357577,\n \"\ alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.10423452768729642,\n \"exact_match_stderr,none\"\ : 0.017467962356999933,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ \ \"exact_match,none\": 0.04065040650406504,\n \"exact_match_stderr,none\"\ : 0.017878907564437455,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.045454545454545456,\n \"exact_match_stderr,none\": 0.018199158975632714,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ : 0.010714285714285714,\n \"exact_match_stderr,none\": 0.00616368419476161,\n\ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.03896103896103896,\n \"exact_match_stderr,none\": 0.015643720451650293,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ : 0.16062176165803108,\n \"exact_match_stderr,none\": 0.026499057701397447,\n\ \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ \ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.02962962962962963,\n \"exact_match_stderr,none\": 0.014648038602753793,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ \ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.366938164893617,\n\ \ \"acc_stderr,none\": 0.00439408693623272,\n \"alias\": \"\ \ - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ \ \"acc_norm,none\": 0.376984126984127,\n \"acc_norm_stderr,none\"\ : 0.017271983959259288,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ : 0.508,\n \"acc_norm_stderr,none\": 0.0316821564314138,\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"\ leaderboard_musr_object_placements\": {\n \"acc_norm,none\": 0.26171875,\n\ \ \"acc_norm_stderr,none\": 0.027526959754524398,\n \"alias\"\ : \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.364,\n \"acc_norm_stderr,none\"\ : 0.03049155522040555,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ \n }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ : 0.7470023980815348,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ \ \"prompt_level_loose_acc,none\": 0.7652495378927912,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.01823928821343378,\n \"inst_level_loose_acc,none\": 0.8357314148681055,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc,none\": 0.366938164893617,\n\ \ \"acc_stderr,none\": 0.00439408693623272,\n \"prompt_level_strict_acc,none\"\ : 0.6561922365988909,\n \"prompt_level_strict_acc_stderr,none\": 0.020439793487859976,\n\ \ \"exact_match,none\": 0.06570996978851963,\n \"exact_match_stderr,none\"\ : 0.0066807029923575765,\n \"acc_norm,none\": 0.44882604747697497,\n \ \ \"acc_norm_stderr,none\": 0.005342481492488792,\n \"alias\": \"leaderboard\"\ \n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.4974830758548863,\n\ \ \"acc_norm_stderr,none\": 0.006249798665250531,\n \"alias\": \"\ \ - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\": {\n\ \ \"acc_norm,none\": 0.788,\n \"acc_norm_stderr,none\": 0.025901884690541156,\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5882352941176471,\n\ \ \"acc_norm_stderr,none\": 0.03608640563085621,\n \"alias\": \" \ \ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.484,\n \"acc_norm_stderr,none\": 0.031669985030107414,\n\ \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"acc_norm,none\": 0.624,\n \"acc_norm_stderr,none\": 0.03069633626739458,\n\ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.568,\n \"acc_norm_stderr,none\": 0.03139181076542941,\n\ \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.029150213374159673,\n\ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ : {\n \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.03114520984654849,\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.392,\n \"acc_norm_stderr,none\": 0.030938207620401195,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ : 0.464,\n \"acc_norm_stderr,none\": 0.03160397514522373,\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.031514387611153515,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ : 0.516,\n \"acc_norm_stderr,none\": 0.031669985030107414,\n \"alias\"\ : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ : {\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\": 0.03160397514522375,\n\ \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\": 0.030630325944558313,\n\ \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ : {\n \"acc_norm,none\": 0.541095890410959,\n \"acc_norm_stderr,none\"\ : 0.041382249050673066,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.652,\n \"acc_norm_stderr,none\": 0.0301865684645117,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.712,\n\ \ \"acc_norm_stderr,none\": 0.02869700458739821,\n \"alias\": \" \ \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n\ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.4943820224719101,\n\ \ \"acc_norm_stderr,none\": 0.03757992900475981,\n \"alias\": \" \ \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.796,\n \"acc_norm_stderr,none\": 0.02553712157454814,\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.272,\n \ \ \"acc_norm_stderr,none\": 0.02820008829631,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.184,\n \"acc_norm_stderr,none\": 0.02455581299422256,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"acc_norm,none\": 0.212,\n \"acc_norm_stderr,none\": 0.02590188469054116,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"acc_norm,none\": 0.376,\n \"acc_norm_stderr,none\": 0.030696336267394583,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.48,\n\ \ \"acc_norm_stderr,none\": 0.031660853408495185,\n \"alias\": \"\ \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ \ \"acc_norm,none\": 0.25922818791946306,\n \"acc_norm_stderr,none\": 0.01270453266853576,\n\ \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ : {\n \"acc_norm,none\": 0.26262626262626265,\n \"acc_norm_stderr,none\"\ : 0.031353050095330855,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.2692307692307692,\n\ \ \"acc_norm_stderr,none\": 0.019000027142915377,\n \"alias\": \"\ \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ \ \"acc_norm,none\": 0.24553571428571427,\n \"acc_norm_stderr,none\"\ : 0.020357428454484575,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.6561922365988909,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.020439793487859976,\n \ \ \"inst_level_strict_acc,none\": 0.7470023980815348,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.7652495378927912,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01823928821343378,\n \"inst_level_loose_acc,none\"\ : 0.8357314148681055,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.06570996978851963,\n \"exact_match_stderr,none\"\ : 0.006680702992357577,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.10423452768729642,\n\ \ \"exact_match_stderr,none\": 0.017467962356999933,\n \"alias\":\ \ \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.04065040650406504,\n \"exact_match_stderr,none\"\ : 0.017878907564437455,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.045454545454545456,\n \"exact_match_stderr,none\": 0.018199158975632714,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"exact_match,none\": 0.010714285714285714,\n \"exact_match_stderr,none\"\ : 0.00616368419476161,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.03896103896103896,\n \"exact_match_stderr,none\": 0.015643720451650293,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"exact_match,none\": 0.16062176165803108,\n \"exact_match_stderr,none\"\ : 0.026499057701397447,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.02962962962962963,\n \"exact_match_stderr,none\": 0.014648038602753793,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"acc,none\": 0.366938164893617,\n \"acc_stderr,none\": 0.00439408693623272,\n\ \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.376984126984127,\n \"acc_norm_stderr,none\"\ : 0.017271983959259288,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.508,\n\ \ \"acc_norm_stderr,none\": 0.0316821564314138,\n \"alias\": \" -\ \ leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ : {\n \"acc_norm,none\": 0.26171875,\n \"acc_norm_stderr,none\": 0.027526959754524398,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.364,\n \"acc_norm_stderr,none\": 0.03049155522040555,\n\ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" repo_url: https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002 leaderboard_url: '' point_of_contact: '' configs: - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_boolean_expressions data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_causal_judgement data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_date_understanding data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_formal_fallacies data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_geometric_shapes data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_hyperbaton data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_movie_recommendation data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_navigate data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_object_counting data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_ruin_names data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_snarks data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_sports_understanding data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_temporal_sequences data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_web_of_lies data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_gpqa_diamond data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_gpqa_extended data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_gpqa_main data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_gpqa_main_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_ifeval data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_ifeval_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_math_algebra_hard data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_math_geometry_hard data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_math_num_theory_hard data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_math_prealgebra_hard data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_math_precalculus_hard data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_mmlu_pro data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_musr_murder_mysteries data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_musr_object_placements data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T15-31-50.382131.jsonl' - config_name: yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_musr_team_allocation data_files: - split: 2024_09_29T15_31_50.382131 path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T15-31-50.382131.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T15-31-50.382131.jsonl' --- # Dataset Card for Evaluation run of yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002](https://huggingface.co/yfzp/Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002) 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/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002-details", name="yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-09-29T15-31-50.382131](https://huggingface.co/datasets/open-llm-leaderboard/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002-details/blob/main/yfzp__Llama-3-8B-Instruct-SPPO-score-Iter1_gp_8b-table-0.002/results_2024-09-29T15-31-50.382131.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_strict_acc,none": 0.7470023980815348, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7652495378927912, "prompt_level_loose_acc_stderr,none": 0.01823928821343378, "inst_level_loose_acc,none": 0.8357314148681055, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.366938164893617, "acc_stderr,none": 0.00439408693623272, "prompt_level_strict_acc,none": 0.6561922365988909, "prompt_level_strict_acc_stderr,none": 0.020439793487859976, "exact_match,none": 0.06570996978851963, "exact_match_stderr,none": 0.0066807029923575765, "acc_norm,none": 0.44882604747697497, "acc_norm_stderr,none": 0.005342481492488792, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4974830758548863, "acc_norm_stderr,none": 0.006249798665250531, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541156, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.5882352941176471, "acc_norm_stderr,none": 0.03608640563085621, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.484, "acc_norm_stderr,none": 0.031669985030107414, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.624, "acc_norm_stderr,none": 0.03069633626739458, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.029150213374159673, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654849, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.392, "acc_norm_stderr,none": 0.030938207620401195, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.03160397514522373, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.031514387611153515, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.031669985030107414, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.03160397514522375, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.030630325944558313, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.541095890410959, "acc_norm_stderr,none": 0.041382249050673066, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.652, "acc_norm_stderr,none": 0.0301865684645117, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.02869700458739821, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.4943820224719101, "acc_norm_stderr,none": 0.03757992900475981, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.796, "acc_norm_stderr,none": 0.02553712157454814, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.272, "acc_norm_stderr,none": 0.02820008829631, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.184, "acc_norm_stderr,none": 0.02455581299422256, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.02590188469054116, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.376, "acc_norm_stderr,none": 0.030696336267394583, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.25922818791946306, "acc_norm_stderr,none": 0.01270453266853576, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.26262626262626265, "acc_norm_stderr,none": 0.031353050095330855, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2692307692307692, "acc_norm_stderr,none": 0.019000027142915377, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.24553571428571427, "acc_norm_stderr,none": 0.020357428454484575, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.6561922365988909, "prompt_level_strict_acc_stderr,none": 0.020439793487859976, "inst_level_strict_acc,none": 0.7470023980815348, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7652495378927912, "prompt_level_loose_acc_stderr,none": 0.01823928821343378, "inst_level_loose_acc,none": 0.8357314148681055, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.06570996978851963, "exact_match_stderr,none": 0.006680702992357577, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.10423452768729642, "exact_match_stderr,none": 0.017467962356999933, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.04065040650406504, "exact_match_stderr,none": 0.017878907564437455, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.045454545454545456, "exact_match_stderr,none": 0.018199158975632714, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.010714285714285714, "exact_match_stderr,none": 0.00616368419476161, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.03896103896103896, "exact_match_stderr,none": 0.015643720451650293, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.16062176165803108, "exact_match_stderr,none": 0.026499057701397447, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.02962962962962963, "exact_match_stderr,none": 0.014648038602753793, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.366938164893617, "acc_stderr,none": 0.00439408693623272, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.376984126984127, "acc_norm_stderr,none": 0.017271983959259288, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.0316821564314138, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.26171875, "acc_norm_stderr,none": 0.027526959754524398, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.03049155522040555, "alias": " - leaderboard_musr_team_allocation" } }, "leaderboard": { "inst_level_strict_acc,none": 0.7470023980815348, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7652495378927912, "prompt_level_loose_acc_stderr,none": 0.01823928821343378, "inst_level_loose_acc,none": 0.8357314148681055, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.366938164893617, "acc_stderr,none": 0.00439408693623272, "prompt_level_strict_acc,none": 0.6561922365988909, "prompt_level_strict_acc_stderr,none": 0.020439793487859976, "exact_match,none": 0.06570996978851963, "exact_match_stderr,none": 0.0066807029923575765, "acc_norm,none": 0.44882604747697497, "acc_norm_stderr,none": 0.005342481492488792, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4974830758548863, "acc_norm_stderr,none": 0.006249798665250531, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.788, "acc_norm_stderr,none": 0.025901884690541156, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.5882352941176471, "acc_norm_stderr,none": 0.03608640563085621, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.484, "acc_norm_stderr,none": 0.031669985030107414, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.624, "acc_norm_stderr,none": 0.03069633626739458, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.568, "acc_norm_stderr,none": 0.03139181076542941, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.029150213374159673, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654849, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.392, "acc_norm_stderr,none": 0.030938207620401195, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.464, "acc_norm_stderr,none": 0.03160397514522373, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.031514387611153515, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.031669985030107414, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.03160397514522375, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.030630325944558313, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.541095890410959, "acc_norm_stderr,none": 0.041382249050673066, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.652, "acc_norm_stderr,none": 0.0301865684645117, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.712, "acc_norm_stderr,none": 0.02869700458739821, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.4943820224719101, "acc_norm_stderr,none": 0.03757992900475981, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.796, "acc_norm_stderr,none": 0.02553712157454814, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.272, "acc_norm_stderr,none": 0.02820008829631, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.184, "acc_norm_stderr,none": 0.02455581299422256, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.212, "acc_norm_stderr,none": 0.02590188469054116, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.376, "acc_norm_stderr,none": 0.030696336267394583, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.25922818791946306, "acc_norm_stderr,none": 0.01270453266853576, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.26262626262626265, "acc_norm_stderr,none": 0.031353050095330855, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2692307692307692, "acc_norm_stderr,none": 0.019000027142915377, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.24553571428571427, "acc_norm_stderr,none": 0.020357428454484575, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.6561922365988909, "prompt_level_strict_acc_stderr,none": 0.020439793487859976, "inst_level_strict_acc,none": 0.7470023980815348, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.7652495378927912, "prompt_level_loose_acc_stderr,none": 0.01823928821343378, "inst_level_loose_acc,none": 0.8357314148681055, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.06570996978851963, "exact_match_stderr,none": 0.006680702992357577, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.10423452768729642, "exact_match_stderr,none": 0.017467962356999933, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.04065040650406504, "exact_match_stderr,none": 0.017878907564437455, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.045454545454545456, "exact_match_stderr,none": 0.018199158975632714, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.010714285714285714, "exact_match_stderr,none": 0.00616368419476161, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.03896103896103896, "exact_match_stderr,none": 0.015643720451650293, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.16062176165803108, "exact_match_stderr,none": 0.026499057701397447, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.02962962962962963, "exact_match_stderr,none": 0.014648038602753793, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.366938164893617, "acc_stderr,none": 0.00439408693623272, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.376984126984127, "acc_norm_stderr,none": 0.017271983959259288, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.0316821564314138, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.26171875, "acc_norm_stderr,none": 0.027526959754524398, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.03049155522040555, "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]

0xBreath/holistic_bert_dataset

0xBreath

--- dataset_info: features: - name: text dtype: string - name: input_ids sequence: int32 - name: token_type_ids sequence: int8 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 973491 num_examples: 3 download_size: 563400 dataset_size: 973491 configs: - config_name: default data_files: - split: train path: data/train-* ---

BedroQuendo/liderbritanico

BedroQuendo

--- license: openrail ---

BedroQuendo/liderrusso

BedroQuendo

--- license: openrail ---

Sujithanumala/Llama_3.2_1B_IT_dataset

Sujithanumala

--- dataset_info: features: - name: output dtype: string - name: input dtype: string - name: instruction dtype: string - name: Llama_IT_output dtype: string splits: - name: train num_bytes: 1917654 num_examples: 1000 download_size: 1057037 dataset_size: 1917654 configs: - config_name: default data_files: - split: train path: data/train-* ---

skbose/indian-english-nptel-v0-tags

skbose

--- dataset_info: features: - name: file_name dtype: string - name: text dtype: string - name: speaker_name dtype: string - name: transcription_normalised dtype: string - name: utterance_pitch_mean dtype: float32 - name: utterance_pitch_std dtype: float32 - name: snr dtype: float64 - name: c50 dtype: float64 - name: speaking_rate dtype: float64 - name: phonemes dtype: string - name: stoi dtype: float64 - name: si-sdr dtype: float64 - name: pesq dtype: float64 splits: - name: train num_bytes: 193663380 num_examples: 435332 - name: test num_bytes: 48425817 num_examples: 108835 download_size: 164659736 dataset_size: 242089197 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

nguyendv02/new_test

nguyendv02

--- dataset_info: features: - name: region dtype: string - name: province_code dtype: int64 - name: province_name dtype: string - name: filename dtype: string - name: text dtype: string - name: speakerID dtype: string - name: gender dtype: int64 - name: audio dtype: audio splits: - name: train num_bytes: 51014515813.0 num_examples: 15023 - name: valid num_bytes: 6334942186.0 num_examples: 1900 - name: test num_bytes: 6669046477.0 num_examples: 2026 download_size: 59824312000 dataset_size: 64018504476.0 --- # Dataset Card for "new_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

skbose/indian-english-nptel-v0-tags-text

skbose

--- dataset_info: features: - name: file_name dtype: string - name: text dtype: string - name: speaker_name dtype: string - name: transcription_normalised dtype: string - name: utterance_pitch_mean dtype: float32 - name: utterance_pitch_std dtype: float32 - name: snr dtype: float64 - name: c50 dtype: float64 - name: speaking_rate dtype: string - name: phonemes dtype: string - name: stoi dtype: float64 - name: si-sdr dtype: float64 - name: pesq dtype: float64 - name: noise dtype: string - name: reverberation dtype: string - name: speech_monotony dtype: string - name: sdr_noise dtype: string - name: pesq_speech_quality dtype: string splits: - name: train num_bytes: 244534315 num_examples: 435332 - name: test num_bytes: 61143332 num_examples: 108835 download_size: 162165216 dataset_size: 305677647 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

Vitrola40/steviewonder

Vitrola40

--- license: openrail ---

jlbaker361/ahri16_4_ddpo

jlbaker361

--- dataset_info: features: - name: index dtype: int64 - name: image dtype: image splits: - name: train num_bytes: 15393395.0 num_examples: 15 download_size: 15395581 dataset_size: 15393395.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Hrishi15/pubchem_molecule_dataset_v2

Hrishi15

--- dataset_info: features: - name: CID dtype: int64 - name: Name dtype: string - name: Description dtype: string - name: MolecularWeight dtype: string - name: LogP dtype: float64 - name: HBondDonorCount dtype: float64 - name: HBondAcceptorCount dtype: float64 - name: TPSA dtype: float64 - name: Complexity dtype: float64 - name: MeltingPoint dtype: string - name: BoilingPoint dtype: string - name: Density dtype: string - name: Toxicity dtype: string - name: DrugInfo dtype: string - name: Pharmacodynamics dtype: string - name: Solubility dtype: float64 - name: pKa dtype: string splits: - name: train num_bytes: 4528063 num_examples: 1000 download_size: 1941192 dataset_size: 4528063 configs: - config_name: default data_files: - split: train path: data/train-* ---

Self-GRIT/arc_c_eval

Self-GRIT

--- dataset_info: features: - name: id dtype: string - name: question dtype: string - name: choices sequence: - name: text dtype: string - name: label dtype: string - name: answers dtype: string splits: - name: valid num_bytes: 375511 num_examples: 1172 download_size: 203814 dataset_size: 375511 configs: - config_name: default data_files: - split: valid path: data/valid-* ---

Self-GRIT/arc_c_random_subsample_eval

Self-GRIT

--- dataset_info: features: - name: id dtype: string - name: question dtype: string - name: choices sequence: - name: text dtype: string - name: label dtype: string - name: answers dtype: string splits: - name: valid num_bytes: 128160.75085324232 num_examples: 400 download_size: 71281 dataset_size: 128160.75085324232 configs: - config_name: default data_files: - split: valid path: data/valid-* ---

rinabuoy/text-summarization-seg

rinabuoy

--- dataset_info: features: - name: text_seg dtype: string - name: summary_seg dtype: string splits: - name: train num_bytes: 577861894 num_examples: 84352 download_size: 190936337 dataset_size: 577861894 configs: - config_name: default data_files: - split: train path: data/train-* ---

SURESHBEEKHANI/finance_sentiment

SURESHBEEKHANI

--- license: mit task_categories: - text-classification size_categories: - n<1K ---

klcsp/summarize-response2

klcsp

--- dataset_info: features: - name: instructions dtype: string - name: target_responses dtype: string - name: candidate_responses dtype: string - name: model_id dtype: string - name: model_sha dtype: string splits: - name: llama3_1_8b_k num_bytes: 340233 num_examples: 100 download_size: 91931 dataset_size: 340233 configs: - config_name: default data_files: - split: llama3_1_8b_k path: data/llama3_1_8b_k-* ---

adityarra07/FAA_data

adityarra07

--- dataset_info: features: - name: id dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string splits: - name: train num_bytes: 17538341989.70426 num_examples: 343353 - name: test num_bytes: 4450337596.076739 num_examples: 85839 download_size: 21300390861 dataset_size: 21988679585.781002 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

ServiceNow/BigDoc-FT-v0.11

ServiceNow

--- dataset_info: features: - name: sample_id dtype: string - name: dataset_name dtype: string - name: annotations sequence: string - name: queries sequence: string - name: task_name dtype: string - name: image dtype: binary splits: - name: train num_bytes: 132656393988 num_examples: 547926 - name: test num_bytes: 974700393 num_examples: 5418 - name: hidden_test num_bytes: 968084278 num_examples: 5418 - name: val num_bytes: 2023868030 num_examples: 11300 download_size: 133487359871 dataset_size: 136623046689 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: hidden_test path: data/hidden_test-* - split: val path: data/val-* ---

lemousehunter/mdp-aug-yolo_datasetv2

lemousehunter

--- dataset_info: features: - name: image sequence: sequence: sequence: uint8 - name: yolo_coords dtype: string splits: - name: train num_bytes: 13677335332.176048 num_examples: 8470 - name: test num_bytes: 3420141231.8239517 num_examples: 2118 download_size: 3231544337 dataset_size: 17097476564.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

sajilperfects/llama_medical_dataset_25k

sajilperfects

--- dataset_info: features: - name: data list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 11749734 num_examples: 25000 download_size: 2073964 dataset_size: 11749734 configs: - config_name: default data_files: - split: train path: data/train-* ---

CodeHima/app350_llama_format

CodeHima

--- language: en license: mit tags: - llm - conversations - llama - finetuning - privacy-policies - dataset datasets: - CodeHima/APP_350_LLM_Formatted metrics: - accuracy - f1 task_categories: - text-generation - text-classification --- # APP-350 Formatted Dataset for LLM Fine-tuning ## Dataset Summary The **APP-350** dataset consists of structured conversation pairs formatted for fine-tuning Large Language Models (LLMs) like LLaMA. This dataset includes questions and responses between users and an AI assistant. The dataset is particularly designed for privacy policy analysis and fairness evaluation, allowing models to learn from annotated interactions regarding privacy practices. The conversations are organized into the following structure: - **User Prompt:** The user initiates the conversation with a question or request. - **Assistant Response:** The AI assistant provides a detailed response, including an assessment of the privacy policy clause. ## Intended Use This dataset is ideal for training and fine-tuning conversational models, particularly those aimed at: - Privacy policy analysis - Legal document interpretation - Fairness evaluation in legal and compliance documents The dataset can also be used to develop models that specialize in understanding privacy-related practices and enhancing LLM performance in this domain. ## Dataset Structure Each entry in the dataset is structured as a conversation between a **user** and an **assistant**: ```json [ { "content": "Analyze the following clause from a privacy policy and determine if it's fair or unfair...", "role": "user" }, { "content": "This clause is fair. The privacy practices mentioned are: nan.", "role": "assistant" } ] ``` Each record contains: - **content**: The text of the prompt or response. - **role**: Specifies whether the content is from the 'user' or the 'assistant'. ## Example Entry ```json { "content": "How do astronomers determine the original wavelength of light emitted by a celestial body at rest...", "role": "user" }, { "content": "Astronomers make use of the unique spectral fingerprints of elements found in stars...", "role": "assistant" } ``` ## Collection Process This dataset was collected from various privacy policy clauses and conversations annotated with fairness labels. The dataset has been structured to reflect user-assistant interactions, making it suitable for training conversational AI systems. ## Licensing The dataset is made available under the **MIT License**, which allows for flexible use, modification, and distribution of the dataset. ## Citation If you use this dataset, please cite it as follows: ``` @dataset{app350_llm_formatted, title = {APP-350 Formatted Dataset for LLM Fine-tuning}, author = {Himanshu Mohanty}, year = {2024}, url = {https://huggingface.co/datasets/CodeHima/APP_350_LLM_Formatted}, license = {MIT} } ```

Holopyolo/RAG-RU-EVAL-BENCHMARK

Holopyolo

--- dataset_info: features: - name: context dtype: string - name: answer sequence: string - name: question dtype: string splits: - name: train num_bytes: 20149060 num_examples: 217 download_size: 416880 dataset_size: 20149060 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "RAG-RU-EVAL-BENCHMARK" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

okinosasuke/phuc

okinosasuke

--- license: mit ---

klcsp/coding-response2

klcsp

--- dataset_info: features: - name: instructions dtype: string - name: target_responses dtype: string - name: candidate_responses dtype: string - name: model_id dtype: string - name: model_sha dtype: string splits: - name: llama3_1_8b_k num_bytes: 133831 num_examples: 64 download_size: 45375 dataset_size: 133831 configs: - config_name: default data_files: - split: llama3_1_8b_k path: data/llama3_1_8b_k-* ---

klcsp/summarize-eval

klcsp

--- dataset_info: features: - name: instructions dtype: string - name: target_responses dtype: string - name: candidate_responses dtype: string - name: model_id dtype: string - name: model_sha dtype: string - name: eval_prompts dtype: string - name: similarity_scores dtype: float64 - name: precision_scores dtype: float64 - name: evaluators dtype: string - name: dates dtype: string splits: - name: llama3_1_8b_lora num_bytes: 587902 num_examples: 100 - name: mistral_7b_0_3_lora num_bytes: 618050 num_examples: 100 - name: gemma7b_k num_bytes: 619876 num_examples: 100 download_size: 569694 dataset_size: 1825828 configs: - config_name: default data_files: - split: llama3_1_8b_lora path: data/llama3_1_8b_lora-* - split: mistral_7b_0_3_lora path: data/mistral_7b_0_3_lora-* - split: gemma7b_k path: data/gemma7b_k-* ---

upvantage/claude-context-35k-comma

upvantage

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 27307069 num_examples: 17518 download_size: 14031007 dataset_size: 27307069 configs: - config_name: default data_files: - split: train path: data/train-* ---

upvantage/claude-context-15k-comma-clean

upvantage

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 24523032 num_examples: 15739 download_size: 12586810 dataset_size: 24523032 configs: - config_name: default data_files: - split: train path: data/train-* ---

SongTonyLi/llama-1b-preference-merge-mix

SongTonyLi

--- dataset_info: features: - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string - name: prompt dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train_sft num_bytes: 1234446019 num_examples: 142245 download_size: 634329507 dataset_size: 1234446019 configs: - config_name: default data_files: - split: train_sft path: data/train_sft-* ---

Farjfar/Reddit-SGS_MergedDataset

Farjfar

--- dataset_info: features: - name: index dtype: int64 - name: id dtype: string - name: subreddit dtype: string - name: year dtype: int64 - name: body_cleaned dtype: string - name: annotation1 dtype: string - name: annotation2 dtype: string - name: annotation3 dtype: string - name: vote_segments dtype: string - name: vote_counts dtype: string - name: segment dtype: string - name: count dtype: int64 - name: disagreements dtype: string - name: reason_disagreement dtype: string - name: type_socialgroup dtype: string - name: segment_belongs_to dtype: string - name: highlight dtype: bool splits: - name: train num_bytes: 14186700 num_examples: 3685 download_size: 1437767 dataset_size: 14186700 configs: - config_name: default data_files: - split: train path: data/train-* ---

sajilperfects/llama_medical_dataset_25k_qa

sajilperfects

--- dataset_info: features: - name: data list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 29036421 num_examples: 25000 download_size: 15954672 dataset_size: 29036421 configs: - config_name: default data_files: - split: train path: data/train-* ---

FurnTheFurnace/jack-black-dataset

FurnTheFurnace

--- license: cc-by-4.0 ---

Alarak/librispeech_debug

Alarak

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: prompt dtype: string - name: gt dtype: string - name: source dtype: string - name: task dtype: string splits: - name: librispeech_test_clean num_bytes: 1213503.0 num_examples: 10 download_size: 1153611 dataset_size: 1213503.0 configs: - config_name: default data_files: - split: librispeech_test_clean path: data/librispeech_test_clean-* ---

klcsp/coding-response3

klcsp

--- dataset_info: features: - name: instructions dtype: string - name: target_responses dtype: string - name: candidate_responses dtype: string - name: model_id dtype: string - name: model_sha dtype: string splits: - name: llama3_1_8b_k num_bytes: 205480 num_examples: 64 download_size: 50396 dataset_size: 205480 configs: - config_name: default data_files: - split: llama3_1_8b_k path: data/llama3_1_8b_k-* ---

rryisthebest/Coreranker_mined_filtered

rryisthebest

--- license: apache-2.0 ---

DaniilOr/addition

DaniilOr

--- license: mit task_categories: - text2text-generation size_categories: - 1K<n<10K ---

fotiecodes/jarvis-llama3.2-dataset

fotiecodes

--- license: mit dataset_info: features: - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 38623 num_examples: 230 download_size: 16557 dataset_size: 38623 configs: - config_name: default data_files: - split: train path: data/train-* ---

WhoLetMeCook/CCIRSST2

WhoLetMeCook

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 8251100 num_examples: 67349 download_size: 2772873 dataset_size: 8251100 configs: - config_name: default data_files: - split: train path: data/train-* ---

OALL/details_Syed-Hasan-8503__Phi-3-mini-4K-instruct-cpo-simpo

OALL

--- pretty_name: Evaluation run of Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo](https://huggingface.co/Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo).\n\ \nThe dataset is composed of 136 configuration, each one coresponding 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(\"OALL/details_Syed-Hasan-8503__Phi-3-mini-4K-instruct-cpo-simpo\"\ ,\n\t\"lighteval_xstory_cloze_ar_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2024-09-29T18:11:33.864987](https://huggingface.co/datasets/OALL/details_Syed-Hasan-8503__Phi-3-mini-4K-instruct-cpo-simpo/blob/main/results_2024-09-29T18-11-33.864987.json)(note\ \ that their 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 \"acc_norm\": 0.375977281871918,\n\ \ \"acc_norm_stderr\": 0.03745292815851962,\n \"acc\": 0.5221707478491066,\n\ \ \"acc_stderr\": 0.01285446962593609\n },\n \"community|acva:Algeria|0\"\ : {\n \"acc_norm\": 0.4256410256410256,\n \"acc_norm_stderr\": 0.03549871080367707\n\ \ },\n \"community|acva:Ancient_Egypt|0\": {\n \"acc_norm\": 0.2761904761904762,\n\ \ \"acc_norm_stderr\": 0.02523199976751755\n },\n \"community|acva:Arab_Empire|0\"\ : {\n \"acc_norm\": 0.6188679245283019,\n \"acc_norm_stderr\": 0.029890609686286623\n\ \ },\n \"community|acva:Arabic_Architecture|0\": {\n \"acc_norm\":\ \ 0.4,\n \"acc_norm_stderr\": 0.0351726229056329\n },\n \"community|acva:Arabic_Art|0\"\ : {\n \"acc_norm\": 0.3384615384615385,\n \"acc_norm_stderr\": 0.03397280032734095\n\ \ },\n \"community|acva:Arabic_Astronomy|0\": {\n \"acc_norm\": 0.4666666666666667,\n\ \ \"acc_norm_stderr\": 0.03581804596782233\n },\n \"community|acva:Arabic_Calligraphy|0\"\ : {\n \"acc_norm\": 0.6509803921568628,\n \"acc_norm_stderr\": 0.029908319306125593\n\ \ },\n \"community|acva:Arabic_Ceremony|0\": {\n \"acc_norm\": 0.5567567567567567,\n\ \ \"acc_norm_stderr\": 0.03662223951330472\n },\n \"community|acva:Arabic_Clothing|0\"\ : {\n \"acc_norm\": 0.5128205128205128,\n \"acc_norm_stderr\": 0.03588610523192215\n\ \ },\n \"community|acva:Arabic_Culture|0\": {\n \"acc_norm\": 0.3384615384615385,\n\ \ \"acc_norm_stderr\": 0.033972800327340964\n },\n \"community|acva:Arabic_Food|0\"\ : {\n \"acc_norm\": 0.5487179487179488,\n \"acc_norm_stderr\": 0.035727098603183925\n\ \ },\n \"community|acva:Arabic_Funeral|0\": {\n \"acc_norm\": 0.3368421052631579,\n\ \ \"acc_norm_stderr\": 0.04874810431502903\n },\n \"community|acva:Arabic_Geography|0\"\ : {\n \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266236\n\ \ },\n \"community|acva:Arabic_History|0\": {\n \"acc_norm\": 0.4153846153846154,\n\ \ \"acc_norm_stderr\": 0.03538013280575029\n },\n \"community|acva:Arabic_Language_Origin|0\"\ : {\n \"acc_norm\": 0.5578947368421052,\n \"acc_norm_stderr\": 0.051224183891818126\n\ \ },\n \"community|acva:Arabic_Literature|0\": {\n \"acc_norm\": 0.503448275862069,\n\ \ \"acc_norm_stderr\": 0.04166567577101579\n },\n \"community|acva:Arabic_Math|0\"\ : {\n \"acc_norm\": 0.2923076923076923,\n \"acc_norm_stderr\": 0.0326543839374951\n\ \ },\n \"community|acva:Arabic_Medicine|0\": {\n \"acc_norm\": 0.5103448275862069,\n\ \ \"acc_norm_stderr\": 0.04165774775728763\n },\n \"community|acva:Arabic_Music|0\"\ : {\n \"acc_norm\": 0.2446043165467626,\n \"acc_norm_stderr\": 0.03659146222520568\n\ \ },\n \"community|acva:Arabic_Ornament|0\": {\n \"acc_norm\": 0.6153846153846154,\n\ \ \"acc_norm_stderr\": 0.03492896993742303\n },\n \"community|acva:Arabic_Philosophy|0\"\ : {\n \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266237\n\ \ },\n \"community|acva:Arabic_Physics_and_Chemistry|0\": {\n \"acc_norm\"\ : 0.6,\n \"acc_norm_stderr\": 0.03517262290563288\n },\n \"community|acva:Arabic_Wedding|0\"\ : {\n \"acc_norm\": 0.40512820512820513,\n \"acc_norm_stderr\": 0.03524577495610962\n\ \ },\n \"community|acva:Bahrain|0\": {\n \"acc_norm\": 0.37777777777777777,\n\ \ \"acc_norm_stderr\": 0.0730911212732345\n },\n \"community|acva:Comoros|0\"\ : {\n \"acc_norm\": 0.4888888888888889,\n \"acc_norm_stderr\": 0.07535922203472523\n\ \ },\n \"community|acva:Egypt_modern|0\": {\n \"acc_norm\": 0.42105263157894735,\n\ \ \"acc_norm_stderr\": 0.050924152299673286\n },\n \"community|acva:InfluenceFromAncientEgypt|0\"\ : {\n \"acc_norm\": 0.558974358974359,\n \"acc_norm_stderr\": 0.0356473293185358\n\ \ },\n \"community|acva:InfluenceFromByzantium|0\": {\n \"acc_norm\"\ : 0.7103448275862069,\n \"acc_norm_stderr\": 0.03780019230438015\n },\n\ \ \"community|acva:InfluenceFromChina|0\": {\n \"acc_norm\": 0.2717948717948718,\n\ \ \"acc_norm_stderr\": 0.031940861870257235\n },\n \"community|acva:InfluenceFromGreece|0\"\ : {\n \"acc_norm\": 0.6256410256410256,\n \"acc_norm_stderr\": 0.03474608430626236\n\ \ },\n \"community|acva:InfluenceFromIslam|0\": {\n \"acc_norm\": 0.41379310344827586,\n\ \ \"acc_norm_stderr\": 0.04104269211806232\n },\n \"community|acva:InfluenceFromPersia|0\"\ : {\n \"acc_norm\": 0.7085714285714285,\n \"acc_norm_stderr\": 0.03444952656229018\n\ \ },\n \"community|acva:InfluenceFromRome|0\": {\n \"acc_norm\": 0.5794871794871795,\n\ \ \"acc_norm_stderr\": 0.035441383893034833\n },\n \"community|acva:Iraq|0\"\ : {\n \"acc_norm\": 0.49411764705882355,\n \"acc_norm_stderr\": 0.05455069703232772\n\ \ },\n \"community|acva:Islam_Education|0\": {\n \"acc_norm\": 0.48205128205128206,\n\ \ \"acc_norm_stderr\": 0.035874770987738294\n },\n \"community|acva:Islam_branches_and_schools|0\"\ : {\n \"acc_norm\": 0.5028571428571429,\n \"acc_norm_stderr\": 0.03790428331834744\n\ \ },\n \"community|acva:Islamic_law_system|0\": {\n \"acc_norm\": 0.4564102564102564,\n\ \ \"acc_norm_stderr\": 0.035761230969912135\n },\n \"community|acva:Jordan|0\"\ : {\n \"acc_norm\": 0.35555555555555557,\n \"acc_norm_stderr\": 0.07216392363431012\n\ \ },\n \"community|acva:Kuwait|0\": {\n \"acc_norm\": 0.28888888888888886,\n\ \ \"acc_norm_stderr\": 0.06832943242540508\n },\n \"community|acva:Lebanon|0\"\ : {\n \"acc_norm\": 0.24444444444444444,\n \"acc_norm_stderr\": 0.06478835438717001\n\ \ },\n \"community|acva:Libya|0\": {\n \"acc_norm\": 0.5555555555555556,\n\ \ \"acc_norm_stderr\": 0.07491109582924915\n },\n \"community|acva:Mauritania|0\"\ : {\n \"acc_norm\": 0.4666666666666667,\n \"acc_norm_stderr\": 0.0752101433090355\n\ \ },\n \"community|acva:Mesopotamia_civilization|0\": {\n \"acc_norm\"\ : 0.567741935483871,\n \"acc_norm_stderr\": 0.03991964576535986\n },\n\ \ \"community|acva:Morocco|0\": {\n \"acc_norm\": 0.3111111111111111,\n\ \ \"acc_norm_stderr\": 0.0697920592732311\n },\n \"community|acva:Oman|0\"\ : {\n \"acc_norm\": 0.28888888888888886,\n \"acc_norm_stderr\": 0.06832943242540507\n\ \ },\n \"community|acva:Palestine|0\": {\n \"acc_norm\": 0.29411764705882354,\n\ \ \"acc_norm_stderr\": 0.04971495616050098\n },\n \"community|acva:Qatar|0\"\ : {\n \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.07385489458759965\n\ \ },\n \"community|acva:Saudi_Arabia|0\": {\n \"acc_norm\": 0.5897435897435898,\n\ \ \"acc_norm_stderr\": 0.03531493712326671\n },\n \"community|acva:Somalia|0\"\ : {\n \"acc_norm\": 0.4222222222222222,\n \"acc_norm_stderr\": 0.07446027270295806\n\ \ },\n \"community|acva:Sudan|0\": {\n \"acc_norm\": 0.35555555555555557,\n\ \ \"acc_norm_stderr\": 0.07216392363431012\n },\n \"community|acva:Syria|0\"\ : {\n \"acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.07491109582924914\n\ \ },\n \"community|acva:Tunisia|0\": {\n \"acc_norm\": 0.37777777777777777,\n\ \ \"acc_norm_stderr\": 0.0730911212732345\n },\n \"community|acva:United_Arab_Emirates|0\"\ : {\n \"acc_norm\": 0.3411764705882353,\n \"acc_norm_stderr\": 0.05172904297361926\n\ \ },\n \"community|acva:Yemen|0\": {\n \"acc_norm\": 0.2,\n \ \ \"acc_norm_stderr\": 0.13333333333333333\n },\n \"community|acva:communication|0\"\ : {\n \"acc_norm\": 0.489010989010989,\n \"acc_norm_stderr\": 0.02623685511821953\n\ \ },\n \"community|acva:computer_and_phone|0\": {\n \"acc_norm\": 0.44745762711864406,\n\ \ \"acc_norm_stderr\": 0.02899913786262446\n },\n \"community|acva:daily_life|0\"\ : {\n \"acc_norm\": 0.20178041543026706,\n \"acc_norm_stderr\": 0.02189429960731361\n\ \ },\n \"community|acva:entertainment|0\": {\n \"acc_norm\": 0.2677966101694915,\n\ \ \"acc_norm_stderr\": 0.025825262229488336\n },\n \"community|alghafa:mcq_exams_test_ar|0\"\ : {\n \"acc_norm\": 0.24236983842010773,\n \"acc_norm_stderr\": 0.018173162868385447\n\ \ },\n \"community|alghafa:meta_ar_dialects|0\": {\n \"acc_norm\":\ \ 0.26932344763670063,\n \"acc_norm_stderr\": 0.006040100948177848\n },\n\ \ \"community|alghafa:meta_ar_msa|0\": {\n \"acc_norm\": 0.2916201117318436,\n\ \ \"acc_norm_stderr\": 0.01520103251252042\n },\n \"community|alghafa:multiple_choice_facts_truefalse_balanced_task|0\"\ : {\n \"acc_norm\": 0.5733333333333334,\n \"acc_norm_stderr\": 0.057495266811327224\n\ \ },\n \"community|alghafa:multiple_choice_grounded_statement_soqal_task|0\"\ : {\n \"acc_norm\": 0.37333333333333335,\n \"acc_norm_stderr\": 0.03962538976206637\n\ \ },\n \"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0\"\ : {\n \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.038618963090899454\n\ \ },\n \"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0\"\ : {\n \"acc_norm\": 0.6898061288305191,\n \"acc_norm_stderr\": 0.00517366207504383\n\ \ },\n \"community|alghafa:multiple_choice_rating_sentiment_task|0\": {\n\ \ \"acc_norm\": 0.4700583819849875,\n \"acc_norm_stderr\": 0.006446612189915484\n\ \ },\n \"community|alghafa:multiple_choice_sentiment_task|0\": {\n \ \ \"acc_norm\": 0.363953488372093,\n \"acc_norm_stderr\": 0.011604580414859268\n\ \ },\n \"community|arabic_exams|0\": {\n \"acc_norm\": 0.2681564245810056,\n\ \ \"acc_norm_stderr\": 0.01913466400732948\n },\n \"community|arabic_mmlu:abstract_algebra|0\"\ : {\n \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n\ \ },\n \"community|arabic_mmlu:anatomy|0\": {\n \"acc_norm\": 0.2814814814814815,\n\ \ \"acc_norm_stderr\": 0.038850042458002526\n },\n \"community|arabic_mmlu:astronomy|0\"\ : {\n \"acc_norm\": 0.2631578947368421,\n \"acc_norm_stderr\": 0.03583496176361063\n\ \ },\n \"community|arabic_mmlu:business_ethics|0\": {\n \"acc_norm\"\ : 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n },\n \"community|arabic_mmlu:clinical_knowledge|0\"\ : {\n \"acc_norm\": 0.3169811320754717,\n \"acc_norm_stderr\": 0.028637235639800918\n\ \ },\n \"community|arabic_mmlu:college_biology|0\": {\n \"acc_norm\"\ : 0.2847222222222222,\n \"acc_norm_stderr\": 0.03773809990686936\n },\n\ \ \"community|arabic_mmlu:college_chemistry|0\": {\n \"acc_norm\": 0.24,\n\ \ \"acc_norm_stderr\": 0.04292346959909283\n },\n \"community|arabic_mmlu:college_computer_science|0\"\ : {\n \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n\ \ },\n \"community|arabic_mmlu:college_mathematics|0\": {\n \"acc_norm\"\ : 0.19,\n \"acc_norm_stderr\": 0.03942772444036623\n },\n \"community|arabic_mmlu:college_medicine|0\"\ : {\n \"acc_norm\": 0.27167630057803466,\n \"acc_norm_stderr\": 0.03391750322321659\n\ \ },\n \"community|arabic_mmlu:college_physics|0\": {\n \"acc_norm\"\ : 0.21568627450980393,\n \"acc_norm_stderr\": 0.04092563958237655\n },\n\ \ \"community|arabic_mmlu:computer_security|0\": {\n \"acc_norm\": 0.37,\n\ \ \"acc_norm_stderr\": 0.048523658709391\n },\n \"community|arabic_mmlu:conceptual_physics|0\"\ : {\n \"acc_norm\": 0.28085106382978725,\n \"acc_norm_stderr\": 0.02937917046412482\n\ \ },\n \"community|arabic_mmlu:econometrics|0\": {\n \"acc_norm\":\ \ 0.2894736842105263,\n \"acc_norm_stderr\": 0.04266339443159395\n },\n\ \ \"community|arabic_mmlu:electrical_engineering|0\": {\n \"acc_norm\"\ : 0.31724137931034485,\n \"acc_norm_stderr\": 0.038783523721386215\n },\n\ \ \"community|arabic_mmlu:elementary_mathematics|0\": {\n \"acc_norm\"\ : 0.30423280423280424,\n \"acc_norm_stderr\": 0.02369541500946309\n },\n\ \ \"community|arabic_mmlu:formal_logic|0\": {\n \"acc_norm\": 0.30158730158730157,\n\ \ \"acc_norm_stderr\": 0.04104947269903394\n },\n \"community|arabic_mmlu:global_facts|0\"\ : {\n \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n\ \ },\n \"community|arabic_mmlu:high_school_biology|0\": {\n \"acc_norm\"\ : 0.3,\n \"acc_norm_stderr\": 0.026069362295335144\n },\n \"community|arabic_mmlu:high_school_chemistry|0\"\ : {\n \"acc_norm\": 0.2512315270935961,\n \"acc_norm_stderr\": 0.030516530732694433\n\ \ },\n \"community|arabic_mmlu:high_school_computer_science|0\": {\n \ \ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.044084400227680794\n \ \ },\n \"community|arabic_mmlu:high_school_european_history|0\": {\n \"\ acc_norm\": 0.21212121212121213,\n \"acc_norm_stderr\": 0.03192271569548299\n\ \ },\n \"community|arabic_mmlu:high_school_geography|0\": {\n \"acc_norm\"\ : 0.2676767676767677,\n \"acc_norm_stderr\": 0.03154449888270286\n },\n\ \ \"community|arabic_mmlu:high_school_government_and_politics|0\": {\n \ \ \"acc_norm\": 0.29533678756476683,\n \"acc_norm_stderr\": 0.03292296639155141\n\ \ },\n \"community|arabic_mmlu:high_school_macroeconomics|0\": {\n \ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.023234581088428498\n },\n\ \ \"community|arabic_mmlu:high_school_mathematics|0\": {\n \"acc_norm\"\ : 0.2851851851851852,\n \"acc_norm_stderr\": 0.027528599210340492\n },\n\ \ \"community|arabic_mmlu:high_school_microeconomics|0\": {\n \"acc_norm\"\ : 0.24369747899159663,\n \"acc_norm_stderr\": 0.027886828078380572\n },\n\ \ \"community|arabic_mmlu:high_school_physics|0\": {\n \"acc_norm\": 0.2913907284768212,\n\ \ \"acc_norm_stderr\": 0.03710185726119994\n },\n \"community|arabic_mmlu:high_school_psychology|0\"\ : {\n \"acc_norm\": 0.25688073394495414,\n \"acc_norm_stderr\": 0.01873249292834247\n\ \ },\n \"community|arabic_mmlu:high_school_statistics|0\": {\n \"acc_norm\"\ : 0.3101851851851852,\n \"acc_norm_stderr\": 0.03154696285656629\n },\n\ \ \"community|arabic_mmlu:high_school_us_history|0\": {\n \"acc_norm\"\ : 0.2647058823529412,\n \"acc_norm_stderr\": 0.030964517926923403\n },\n\ \ \"community|arabic_mmlu:high_school_world_history|0\": {\n \"acc_norm\"\ : 0.2911392405063291,\n \"acc_norm_stderr\": 0.02957160106575337\n },\n\ \ \"community|arabic_mmlu:human_aging|0\": {\n \"acc_norm\": 0.336322869955157,\n\ \ \"acc_norm_stderr\": 0.031708824268455005\n },\n \"community|arabic_mmlu:human_sexuality|0\"\ : {\n \"acc_norm\": 0.31297709923664124,\n \"acc_norm_stderr\": 0.04066962905677698\n\ \ },\n \"community|arabic_mmlu:international_law|0\": {\n \"acc_norm\"\ : 0.4297520661157025,\n \"acc_norm_stderr\": 0.04519082021319773\n },\n\ \ \"community|arabic_mmlu:jurisprudence|0\": {\n \"acc_norm\": 0.37037037037037035,\n\ \ \"acc_norm_stderr\": 0.04668408033024931\n },\n \"community|arabic_mmlu:logical_fallacies|0\"\ : {\n \"acc_norm\": 0.34355828220858897,\n \"acc_norm_stderr\": 0.03731133519673894\n\ \ },\n \"community|arabic_mmlu:machine_learning|0\": {\n \"acc_norm\"\ : 0.35714285714285715,\n \"acc_norm_stderr\": 0.04547960999764376\n },\n\ \ \"community|arabic_mmlu:management|0\": {\n \"acc_norm\": 0.2912621359223301,\n\ \ \"acc_norm_stderr\": 0.044986763205729224\n },\n \"community|arabic_mmlu:marketing|0\"\ : {\n \"acc_norm\": 0.4017094017094017,\n \"acc_norm_stderr\": 0.03211693751051621\n\ \ },\n \"community|arabic_mmlu:medical_genetics|0\": {\n \"acc_norm\"\ : 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n \"community|arabic_mmlu:miscellaneous|0\"\ : {\n \"acc_norm\": 0.3167305236270754,\n \"acc_norm_stderr\": 0.01663556642771249\n\ \ },\n \"community|arabic_mmlu:moral_disputes|0\": {\n \"acc_norm\"\ : 0.2976878612716763,\n \"acc_norm_stderr\": 0.024617055388676992\n },\n\ \ \"community|arabic_mmlu:moral_scenarios|0\": {\n \"acc_norm\": 0.26256983240223464,\n\ \ \"acc_norm_stderr\": 0.014716824273017756\n },\n \"community|arabic_mmlu:nutrition|0\"\ : {\n \"acc_norm\": 0.369281045751634,\n \"acc_norm_stderr\": 0.027634176689602656\n\ \ },\n \"community|arabic_mmlu:philosophy|0\": {\n \"acc_norm\": 0.36012861736334406,\n\ \ \"acc_norm_stderr\": 0.027264297599804015\n },\n \"community|arabic_mmlu:prehistory|0\"\ : {\n \"acc_norm\": 0.2808641975308642,\n \"acc_norm_stderr\": 0.025006469755799215\n\ \ },\n \"community|arabic_mmlu:professional_accounting|0\": {\n \"\ acc_norm\": 0.2872340425531915,\n \"acc_norm_stderr\": 0.026992199173064356\n\ \ },\n \"community|arabic_mmlu:professional_law|0\": {\n \"acc_norm\"\ : 0.2907431551499348,\n \"acc_norm_stderr\": 0.011598062372851983\n },\n\ \ \"community|arabic_mmlu:professional_medicine|0\": {\n \"acc_norm\"\ : 0.21691176470588236,\n \"acc_norm_stderr\": 0.025035845227711274\n },\n\ \ \"community|arabic_mmlu:professional_psychology|0\": {\n \"acc_norm\"\ : 0.27941176470588236,\n \"acc_norm_stderr\": 0.018152871051538812\n },\n\ \ \"community|arabic_mmlu:public_relations|0\": {\n \"acc_norm\": 0.3181818181818182,\n\ \ \"acc_norm_stderr\": 0.04461272175910508\n },\n \"community|arabic_mmlu:security_studies|0\"\ : {\n \"acc_norm\": 0.27755102040816326,\n \"acc_norm_stderr\": 0.028666857790274645\n\ \ },\n \"community|arabic_mmlu:sociology|0\": {\n \"acc_norm\": 0.3482587064676617,\n\ \ \"acc_norm_stderr\": 0.033687874661154596\n },\n \"community|arabic_mmlu:us_foreign_policy|0\"\ : {\n \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n\ \ },\n \"community|arabic_mmlu:virology|0\": {\n \"acc_norm\": 0.28313253012048195,\n\ \ \"acc_norm_stderr\": 0.03507295431370519\n },\n \"community|arabic_mmlu:world_religions|0\"\ : {\n \"acc_norm\": 0.2807017543859649,\n \"acc_norm_stderr\": 0.034462962170884265\n\ \ },\n \"community|arc_challenge_okapi_ar|0\": {\n \"acc_norm\": 0.28706896551724137,\n\ \ \"acc_norm_stderr\": 0.013288475631250104\n },\n \"community|arc_easy_ar|0\"\ : {\n \"acc_norm\": 0.28553299492385786,\n \"acc_norm_stderr\": 0.009291533096115192\n\ \ },\n \"community|boolq_ar|0\": {\n \"acc_norm\": 0.6435582822085889,\n\ \ \"acc_norm_stderr\": 0.008389692158991753\n },\n \"community|copa_ext_ar|0\"\ : {\n \"acc_norm\": 0.4666666666666667,\n \"acc_norm_stderr\": 0.05288198530254015\n\ \ },\n \"community|hellaswag_okapi_ar|0\": {\n \"acc_norm\": 0.2527532439210555,\n\ \ \"acc_norm_stderr\": 0.004538326326529228\n },\n \"community|openbook_qa_ext_ar|0\"\ : {\n \"acc_norm\": 0.3616161616161616,\n \"acc_norm_stderr\": 0.021617296703087114\n\ \ },\n \"community|piqa_ar|0\": {\n \"acc_norm\": 0.5117294053464266,\n\ \ \"acc_norm_stderr\": 0.011678518074484457\n },\n \"community|race_ar|0\"\ : {\n \"acc_norm\": 0.32460945425035503,\n \"acc_norm_stderr\": 0.006669952193906699\n\ \ },\n \"community|sciq_ar|0\": {\n \"acc_norm\": 0.4904522613065327,\n\ \ \"acc_norm_stderr\": 0.01585614533089209\n },\n \"community|toxigen_ar|0\"\ : {\n \"acc_norm\": 0.39572192513368987,\n \"acc_norm_stderr\": 0.016000738844764214\n\ \ },\n \"lighteval|xstory_cloze:ar|0\": {\n \"acc\": 0.5221707478491066,\n\ \ \"acc_stderr\": 0.01285446962593609\n },\n \"community|acva:_average|0\"\ : {\n \"acc_norm\": 0.44487603250172847,\n \"acc_norm_stderr\": 0.04710953548865365\n\ \ },\n \"community|alghafa:_average|0\": {\n \"acc_norm\": 0.4007923774418057,\n\ \ \"acc_norm_stderr\": 0.02204208563035504\n },\n \"community|arabic_mmlu:_average|0\"\ : {\n \"acc_norm\": 0.29928291202036555,\n \"acc_norm_stderr\": 0.034141511310792134\n\ \ }\n}\n```" repo_url: https://huggingface.co/Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo configs: - config_name: community_acva_Algeria_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Algeria|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Algeria|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Ancient_Egypt_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Ancient_Egypt|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Ancient_Egypt|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arab_Empire_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arab_Empire|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arab_Empire|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Architecture_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Architecture|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Architecture|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Art_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Art|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Art|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Astronomy_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Astronomy|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Astronomy|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Calligraphy_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Calligraphy|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Calligraphy|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Ceremony_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Ceremony|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Ceremony|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Clothing_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Clothing|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Clothing|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Culture_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Culture|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Culture|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Food_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Food|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Food|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Funeral_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Funeral|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Funeral|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Geography_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Geography|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Geography|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_History_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_History|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_History|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Language_Origin_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Language_Origin|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Language_Origin|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Literature_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Literature|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Literature|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Math_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Math|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Math|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Medicine_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Medicine|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Medicine|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Music_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Music|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Music|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Ornament_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Ornament|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Ornament|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Philosophy_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Philosophy|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Philosophy|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Physics_and_Chemistry_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Physics_and_Chemistry|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Physics_and_Chemistry|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Arabic_Wedding_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Arabic_Wedding|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Arabic_Wedding|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Bahrain_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Bahrain|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Bahrain|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Comoros_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Comoros|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Comoros|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Egypt_modern_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Egypt_modern|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Egypt_modern|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_InfluenceFromAncientEgypt_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:InfluenceFromAncientEgypt|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:InfluenceFromAncientEgypt|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_InfluenceFromByzantium_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:InfluenceFromByzantium|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:InfluenceFromByzantium|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_InfluenceFromChina_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:InfluenceFromChina|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:InfluenceFromChina|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_InfluenceFromGreece_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:InfluenceFromGreece|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:InfluenceFromGreece|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_InfluenceFromIslam_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:InfluenceFromIslam|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:InfluenceFromIslam|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_InfluenceFromPersia_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:InfluenceFromPersia|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:InfluenceFromPersia|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_InfluenceFromRome_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:InfluenceFromRome|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:InfluenceFromRome|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Iraq_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Iraq|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Iraq|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Islam_Education_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Islam_Education|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Islam_Education|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Islam_branches_and_schools_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Islam_branches_and_schools|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Islam_branches_and_schools|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Islamic_law_system_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Islamic_law_system|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Islamic_law_system|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Jordan_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Jordan|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Jordan|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Kuwait_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Kuwait|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Kuwait|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Lebanon_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Lebanon|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Lebanon|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Libya_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Libya|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Libya|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Mauritania_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Mauritania|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Mauritania|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Mesopotamia_civilization_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Mesopotamia_civilization|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Mesopotamia_civilization|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Morocco_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Morocco|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Morocco|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Oman_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Oman|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Oman|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Palestine_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Palestine|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Palestine|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Qatar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Qatar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Qatar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Saudi_Arabia_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Saudi_Arabia|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Saudi_Arabia|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Somalia_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Somalia|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Somalia|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Sudan_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Sudan|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Sudan|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Syria_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Syria|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Syria|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Tunisia_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Tunisia|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Tunisia|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_United_Arab_Emirates_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:United_Arab_Emirates|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:United_Arab_Emirates|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_Yemen_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:Yemen|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:Yemen|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_communication_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:communication|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:communication|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_computer_and_phone_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:computer_and_phone|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:computer_and_phone|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_daily_life_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:daily_life|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:daily_life|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_acva_entertainment_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|acva:entertainment|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|acva:entertainment|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_alghafa_mcq_exams_test_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|alghafa:mcq_exams_test_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|alghafa:mcq_exams_test_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_alghafa_meta_ar_dialects_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|alghafa:meta_ar_dialects|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|alghafa:meta_ar_dialects|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_alghafa_meta_ar_msa_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|alghafa:meta_ar_msa|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|alghafa:meta_ar_msa|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_alghafa_multiple_choice_facts_truefalse_balanced_task_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|alghafa:multiple_choice_facts_truefalse_balanced_task|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|alghafa:multiple_choice_facts_truefalse_balanced_task|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_alghafa_multiple_choice_grounded_statement_soqal_task_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|alghafa:multiple_choice_grounded_statement_soqal_task|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|alghafa:multiple_choice_grounded_statement_soqal_task|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_alghafa_multiple_choice_grounded_statement_xglue_mlqa_task_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_alghafa_multiple_choice_rating_sentiment_no_neutral_task_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_alghafa_multiple_choice_rating_sentiment_task_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|alghafa:multiple_choice_rating_sentiment_task|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|alghafa:multiple_choice_rating_sentiment_task|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_alghafa_multiple_choice_sentiment_task_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|alghafa:multiple_choice_sentiment_task|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|alghafa:multiple_choice_sentiment_task|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_exams_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_exams|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_exams|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_abstract_algebra_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:abstract_algebra|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:abstract_algebra|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_anatomy_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:anatomy|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:anatomy|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_astronomy_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:astronomy|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:astronomy|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_business_ethics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:business_ethics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:business_ethics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_clinical_knowledge_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:clinical_knowledge|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:clinical_knowledge|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_college_biology_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:college_biology|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:college_biology|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_college_chemistry_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:college_chemistry|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:college_chemistry|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_college_computer_science_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:college_computer_science|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:college_computer_science|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_college_mathematics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:college_mathematics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:college_mathematics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_college_medicine_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:college_medicine|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:college_medicine|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_college_physics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:college_physics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:college_physics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_computer_security_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:computer_security|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:computer_security|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_conceptual_physics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:conceptual_physics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:conceptual_physics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_econometrics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:econometrics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:econometrics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_electrical_engineering_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:electrical_engineering|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:electrical_engineering|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_elementary_mathematics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:elementary_mathematics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:elementary_mathematics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_formal_logic_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:formal_logic|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:formal_logic|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_global_facts_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:global_facts|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:global_facts|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_biology_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_biology|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_biology|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_chemistry_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_chemistry|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_chemistry|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_computer_science_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_computer_science|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_computer_science|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_european_history_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_european_history|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_european_history|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_geography_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_geography|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_geography|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_government_and_politics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_government_and_politics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_government_and_politics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_macroeconomics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_macroeconomics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_macroeconomics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_mathematics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_mathematics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_mathematics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_microeconomics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_microeconomics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_microeconomics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_physics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_physics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_physics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_psychology_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_psychology|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_psychology|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_statistics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_statistics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_statistics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_us_history_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_us_history|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_us_history|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_high_school_world_history_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:high_school_world_history|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:high_school_world_history|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_human_aging_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:human_aging|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:human_aging|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_human_sexuality_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:human_sexuality|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:human_sexuality|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_international_law_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:international_law|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:international_law|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_jurisprudence_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:jurisprudence|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:jurisprudence|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_logical_fallacies_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:logical_fallacies|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:logical_fallacies|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_machine_learning_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:machine_learning|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:machine_learning|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_management_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:management|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:management|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_marketing_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:marketing|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:marketing|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_medical_genetics_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:medical_genetics|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:medical_genetics|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_miscellaneous_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:miscellaneous|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:miscellaneous|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_moral_disputes_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:moral_disputes|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:moral_disputes|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_moral_scenarios_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:moral_scenarios|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:moral_scenarios|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_nutrition_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:nutrition|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:nutrition|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_philosophy_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:philosophy|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:philosophy|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_prehistory_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:prehistory|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:prehistory|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_professional_accounting_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:professional_accounting|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:professional_accounting|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_professional_law_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:professional_law|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:professional_law|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_professional_medicine_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:professional_medicine|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:professional_medicine|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_professional_psychology_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:professional_psychology|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:professional_psychology|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_public_relations_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:public_relations|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:public_relations|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_security_studies_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:security_studies|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:security_studies|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_sociology_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:sociology|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:sociology|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_us_foreign_policy_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:us_foreign_policy|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:us_foreign_policy|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_virology_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:virology|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:virology|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arabic_mmlu_world_religions_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arabic_mmlu:world_religions|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arabic_mmlu:world_religions|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arc_challenge_okapi_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arc_challenge_okapi_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arc_challenge_okapi_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_arc_easy_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|arc_easy_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|arc_easy_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_boolq_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|boolq_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|boolq_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_copa_ext_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|copa_ext_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|copa_ext_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_hellaswag_okapi_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|hellaswag_okapi_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|hellaswag_okapi_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_openbook_qa_ext_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|openbook_qa_ext_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|openbook_qa_ext_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_piqa_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|piqa_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|piqa_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_race_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|race_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|race_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_sciq_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|sciq_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|sciq_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: community_toxigen_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_community|toxigen_ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_community|toxigen_ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: lighteval_xstory_cloze_ar_0 data_files: - split: 2024_09_29T18_11_33.864987 path: - '**/details_lighteval|xstory_cloze:ar|0_2024-09-29T18-11-33.864987.parquet' - split: latest path: - '**/details_lighteval|xstory_cloze:ar|0_2024-09-29T18-11-33.864987.parquet' - config_name: results data_files: - split: 2024_09_29T18_11_33.864987 path: - results_2024-09-29T18-11-33.864987.parquet - split: latest path: - results_2024-09-29T18-11-33.864987.parquet --- # Dataset Card for Evaluation run of Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo](https://huggingface.co/Syed-Hasan-8503/Phi-3-mini-4K-instruct-cpo-simpo). The dataset is composed of 136 configuration, each one coresponding 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("OALL/details_Syed-Hasan-8503__Phi-3-mini-4K-instruct-cpo-simpo", "lighteval_xstory_cloze_ar_0", split="train") ``` ## Latest results These are the [latest results from run 2024-09-29T18:11:33.864987](https://huggingface.co/datasets/OALL/details_Syed-Hasan-8503__Phi-3-mini-4K-instruct-cpo-simpo/blob/main/results_2024-09-29T18-11-33.864987.json)(note that their 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": { "acc_norm": 0.375977281871918, "acc_norm_stderr": 0.03745292815851962, "acc": 0.5221707478491066, "acc_stderr": 0.01285446962593609 }, "community|acva:Algeria|0": { "acc_norm": 0.4256410256410256, "acc_norm_stderr": 0.03549871080367707 }, "community|acva:Ancient_Egypt|0": { "acc_norm": 0.2761904761904762, "acc_norm_stderr": 0.02523199976751755 }, "community|acva:Arab_Empire|0": { "acc_norm": 0.6188679245283019, "acc_norm_stderr": 0.029890609686286623 }, "community|acva:Arabic_Architecture|0": { "acc_norm": 0.4, "acc_norm_stderr": 0.0351726229056329 }, "community|acva:Arabic_Art|0": { "acc_norm": 0.3384615384615385, "acc_norm_stderr": 0.03397280032734095 }, "community|acva:Arabic_Astronomy|0": { "acc_norm": 0.4666666666666667, "acc_norm_stderr": 0.03581804596782233 }, "community|acva:Arabic_Calligraphy|0": { "acc_norm": 0.6509803921568628, "acc_norm_stderr": 0.029908319306125593 }, "community|acva:Arabic_Ceremony|0": { "acc_norm": 0.5567567567567567, "acc_norm_stderr": 0.03662223951330472 }, "community|acva:Arabic_Clothing|0": { "acc_norm": 0.5128205128205128, "acc_norm_stderr": 0.03588610523192215 }, "community|acva:Arabic_Culture|0": { "acc_norm": 0.3384615384615385, "acc_norm_stderr": 0.033972800327340964 }, "community|acva:Arabic_Food|0": { "acc_norm": 0.5487179487179488, "acc_norm_stderr": 0.035727098603183925 }, "community|acva:Arabic_Funeral|0": { "acc_norm": 0.3368421052631579, "acc_norm_stderr": 0.04874810431502903 }, "community|acva:Arabic_Geography|0": { "acc_norm": 0.593103448275862, "acc_norm_stderr": 0.04093793981266236 }, "community|acva:Arabic_History|0": { "acc_norm": 0.4153846153846154, "acc_norm_stderr": 0.03538013280575029 }, "community|acva:Arabic_Language_Origin|0": { "acc_norm": 0.5578947368421052, "acc_norm_stderr": 0.051224183891818126 }, "community|acva:Arabic_Literature|0": { "acc_norm": 0.503448275862069, "acc_norm_stderr": 0.04166567577101579 }, "community|acva:Arabic_Math|0": { "acc_norm": 0.2923076923076923, "acc_norm_stderr": 0.0326543839374951 }, "community|acva:Arabic_Medicine|0": { "acc_norm": 0.5103448275862069, "acc_norm_stderr": 0.04165774775728763 }, "community|acva:Arabic_Music|0": { "acc_norm": 0.2446043165467626, "acc_norm_stderr": 0.03659146222520568 }, "community|acva:Arabic_Ornament|0": { "acc_norm": 0.6153846153846154, "acc_norm_stderr": 0.03492896993742303 }, "community|acva:Arabic_Philosophy|0": { "acc_norm": 0.593103448275862, "acc_norm_stderr": 0.04093793981266237 }, "community|acva:Arabic_Physics_and_Chemistry|0": { "acc_norm": 0.6, "acc_norm_stderr": 0.03517262290563288 }, "community|acva:Arabic_Wedding|0": { "acc_norm": 0.40512820512820513, "acc_norm_stderr": 0.03524577495610962 }, "community|acva:Bahrain|0": { "acc_norm": 0.37777777777777777, "acc_norm_stderr": 0.0730911212732345 }, "community|acva:Comoros|0": { "acc_norm": 0.4888888888888889, "acc_norm_stderr": 0.07535922203472523 }, "community|acva:Egypt_modern|0": { "acc_norm": 0.42105263157894735, "acc_norm_stderr": 0.050924152299673286 }, "community|acva:InfluenceFromAncientEgypt|0": { "acc_norm": 0.558974358974359, "acc_norm_stderr": 0.0356473293185358 }, "community|acva:InfluenceFromByzantium|0": { "acc_norm": 0.7103448275862069, "acc_norm_stderr": 0.03780019230438015 }, "community|acva:InfluenceFromChina|0": { "acc_norm": 0.2717948717948718, "acc_norm_stderr": 0.031940861870257235 }, "community|acva:InfluenceFromGreece|0": { "acc_norm": 0.6256410256410256, "acc_norm_stderr": 0.03474608430626236 }, "community|acva:InfluenceFromIslam|0": { "acc_norm": 0.41379310344827586, "acc_norm_stderr": 0.04104269211806232 }, "community|acva:InfluenceFromPersia|0": { "acc_norm": 0.7085714285714285, "acc_norm_stderr": 0.03444952656229018 }, "community|acva:InfluenceFromRome|0": { "acc_norm": 0.5794871794871795, "acc_norm_stderr": 0.035441383893034833 }, "community|acva:Iraq|0": { "acc_norm": 0.49411764705882355, "acc_norm_stderr": 0.05455069703232772 }, "community|acva:Islam_Education|0": { "acc_norm": 0.48205128205128206, "acc_norm_stderr": 0.035874770987738294 }, "community|acva:Islam_branches_and_schools|0": { "acc_norm": 0.5028571428571429, "acc_norm_stderr": 0.03790428331834744 }, "community|acva:Islamic_law_system|0": { "acc_norm": 0.4564102564102564, "acc_norm_stderr": 0.035761230969912135 }, "community|acva:Jordan|0": { "acc_norm": 0.35555555555555557, "acc_norm_stderr": 0.07216392363431012 }, "community|acva:Kuwait|0": { "acc_norm": 0.28888888888888886, "acc_norm_stderr": 0.06832943242540508 }, "community|acva:Lebanon|0": { "acc_norm": 0.24444444444444444, "acc_norm_stderr": 0.06478835438717001 }, "community|acva:Libya|0": { "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.07491109582924915 }, "community|acva:Mauritania|0": { "acc_norm": 0.4666666666666667, "acc_norm_stderr": 0.0752101433090355 }, "community|acva:Mesopotamia_civilization|0": { "acc_norm": 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"acc_norm_stderr": 0.025035845227711274 }, "community|arabic_mmlu:professional_psychology|0": { "acc_norm": 0.27941176470588236, "acc_norm_stderr": 0.018152871051538812 }, "community|arabic_mmlu:public_relations|0": { "acc_norm": 0.3181818181818182, "acc_norm_stderr": 0.04461272175910508 }, "community|arabic_mmlu:security_studies|0": { "acc_norm": 0.27755102040816326, "acc_norm_stderr": 0.028666857790274645 }, "community|arabic_mmlu:sociology|0": { "acc_norm": 0.3482587064676617, "acc_norm_stderr": 0.033687874661154596 }, "community|arabic_mmlu:us_foreign_policy|0": { "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "community|arabic_mmlu:virology|0": { "acc_norm": 0.28313253012048195, "acc_norm_stderr": 0.03507295431370519 }, "community|arabic_mmlu:world_religions|0": { "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.034462962170884265 }, "community|arc_challenge_okapi_ar|0": { "acc_norm": 0.28706896551724137, "acc_norm_stderr": 0.013288475631250104 }, "community|arc_easy_ar|0": { "acc_norm": 0.28553299492385786, "acc_norm_stderr": 0.009291533096115192 }, "community|boolq_ar|0": { "acc_norm": 0.6435582822085889, "acc_norm_stderr": 0.008389692158991753 }, "community|copa_ext_ar|0": { "acc_norm": 0.4666666666666667, "acc_norm_stderr": 0.05288198530254015 }, "community|hellaswag_okapi_ar|0": { "acc_norm": 0.2527532439210555, "acc_norm_stderr": 0.004538326326529228 }, "community|openbook_qa_ext_ar|0": { "acc_norm": 0.3616161616161616, "acc_norm_stderr": 0.021617296703087114 }, "community|piqa_ar|0": { "acc_norm": 0.5117294053464266, "acc_norm_stderr": 0.011678518074484457 }, "community|race_ar|0": { "acc_norm": 0.32460945425035503, "acc_norm_stderr": 0.006669952193906699 }, "community|sciq_ar|0": { "acc_norm": 0.4904522613065327, "acc_norm_stderr": 0.01585614533089209 }, "community|toxigen_ar|0": { "acc_norm": 0.39572192513368987, "acc_norm_stderr": 0.016000738844764214 }, "lighteval|xstory_cloze:ar|0": { "acc": 0.5221707478491066, "acc_stderr": 0.01285446962593609 }, "community|acva:_average|0": { "acc_norm": 0.44487603250172847, "acc_norm_stderr": 0.04710953548865365 }, "community|alghafa:_average|0": { "acc_norm": 0.4007923774418057, "acc_norm_stderr": 0.02204208563035504 }, "community|arabic_mmlu:_average|0": { "acc_norm": 0.29928291202036555, "acc_norm_stderr": 0.034141511310792134 } } ``` ## 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 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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.). 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karuna-bhaila/adult_income

karuna-bhaila

--- dataset_info: features: - name: text dtype: string - name: protected dtype: int64 - name: label dtype: string splits: - name: train num_bytes: 10056323 num_examples: 30000 - name: augmented num_bytes: 20573948 num_examples: 60000 - name: test num_bytes: 5048669 num_examples: 15060 download_size: 4854258 dataset_size: 35678940 configs: - config_name: default data_files: - split: train path: data/train-* - split: augmented path: data/augmented-* - split: test path: data/test-* ---

open-llm-leaderboard/lemon07r__Gemma-2-Ataraxy-v2a-9B-details

open-llm-leaderboard

--- pretty_name: Evaluation run of lemon07r/Gemma-2-Ataraxy-v2a-9B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lemon07r/Gemma-2-Ataraxy-v2a-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v2a-9B)\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/lemon07r__Gemma-2-Ataraxy-v2a-9B-details\"\ ,\n\tname=\"lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-09-29T18-19-31.104072](https://huggingface.co/datasets/open-llm-leaderboard/lemon07r__Gemma-2-Ataraxy-v2a-9B-details/blob/main/lemon07r__Gemma-2-Ataraxy-v2a-9B/results_2024-09-29T18-19-31.104072.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_strict_acc,none\": 0.18585131894484413,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"inst_level_loose_acc,none\"\ : 0.19304556354916066,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"prompt_level_loose_acc,none\": 0.14048059149722736,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.014953371656822749,\n \"\ acc_norm,none\": 0.4699701647425088,\n \"acc_norm_stderr,none\": 0.0053819999195042914,\n\ \ \"prompt_level_strict_acc,none\": 0.133086876155268,\n \"\ prompt_level_strict_acc_stderr,none\": 0.014617009342904514,\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"acc,none\"\ : 0.35147938829787234,\n \"acc_stderr,none\": 0.0043527222896365585,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.5170977260892207,\n \"acc_norm_stderr,none\"\ : 0.0062662351499772045,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\"\ : 0.824,\n \"acc_norm_stderr,none\": 0.02413349752545711,\n \ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5561497326203209,\n\ \ \"acc_norm_stderr,none\": 0.03642987131924726,\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\"\ : 0.03142556706028128,\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ \n },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\"\ : 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993922,\n \ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"\ leaderboard_bbh_formal_fallacies\": {\n \"acc_norm,none\": 0.6,\n \ \ \"acc_norm_stderr,none\": 0.03104602102825324,\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\"\ : 0.030562070620993167,\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ \n },\n \"leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\"\ : 0.54,\n \"acc_norm_stderr,none\": 0.031584653891499004,\n \ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.54,\n \"acc_norm_stderr,none\"\ : 0.031584653891499004,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"acc_norm,none\": 0.44,\n \"acc_norm_stderr,none\": 0.031457244522235715,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"acc_norm,none\": 0.804,\n \"acc_norm_stderr,none\": 0.02515685731325592,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n\ \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.476,\n\ \ \"acc_norm_stderr,none\": 0.03164968895968782,\n \"alias\"\ : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\"\ : 0.027217995464553182,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ acc_norm,none\": 0.4589041095890411,\n \"acc_norm_stderr,none\": 0.041382249050673066,\n\ \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401195,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ : 0.7,\n \"acc_norm_stderr,none\": 0.02904089347757585,\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.54,\n \"acc_norm_stderr,none\"\ : 0.03158465389149899,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ : 0.6629213483146067,\n \"acc_norm_stderr,none\": 0.03553120966481323,\n\ \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\"\ : 0.030104503392316385,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ acc_norm,none\": 0.448,\n \"acc_norm_stderr,none\": 0.03151438761115355,\n\ \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.292,\n \"acc_norm_stderr,none\": 0.02881432040220565,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"acc_norm,none\": 0.296,\n \"acc_norm_stderr,none\"\ : 0.028928939388379638,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\"\ : 0.027065293652239007,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ : {\n \"acc_norm,none\": 0.33976510067114096,\n \"acc_norm_stderr,none\"\ : 0.013733321675524851,\n \"alias\": \" - leaderboard_gpqa\"\n \ \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.3383838383838384,\n\ \ \"acc_norm_stderr,none\": 0.03371124142626303,\n \"alias\"\ : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"acc_norm,none\": 0.3315018315018315,\n \"acc_norm_stderr,none\"\ : 0.02016484210875768,\n \"alias\": \" - leaderboard_gpqa_extended\"\ \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ : 0.35044642857142855,\n \"acc_norm_stderr,none\": 0.02256651759785534,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.133086876155268,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.014617009342904514,\n \ \ \"inst_level_strict_acc,none\": 0.18585131894484413,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.14048059149722736,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.014953371656822749,\n \ \ \"inst_level_loose_acc,none\": 0.19304556354916066,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.0,\n \ \ \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_hard\"\ \n },\n \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ \ - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0,\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\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0,\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\": 0.35147938829787234,\n \"acc_stderr,none\"\ : 0.0043527222896365585,\n \"alias\": \" - leaderboard_mmlu_pro\"\n \ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.31613756613756616,\n\ \ \"acc_norm_stderr,none\": 0.016211743615540643,\n \"alias\"\ : \" - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\"\ : {\n \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\":\ \ 0.031686212526223896,\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ \n },\n \"leaderboard_musr_object_placements\": {\n \"\ acc_norm,none\": 0.2734375,\n \"acc_norm_stderr,none\": 0.027912287939448926,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n\ \ \"leaderboard_musr_team_allocation\": {\n \"acc_norm,none\"\ : 0.176,\n \"acc_norm_stderr,none\": 0.024133497525457126,\n \ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n },\n \ \ \"leaderboard\": {\n \"inst_level_strict_acc,none\": 0.18585131894484413,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"inst_level_loose_acc,none\"\ : 0.19304556354916066,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"prompt_level_loose_acc,none\": 0.14048059149722736,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.014953371656822749,\n \"acc_norm,none\": 0.4699701647425088,\n \ \ \"acc_norm_stderr,none\": 0.0053819999195042914,\n \"prompt_level_strict_acc,none\"\ : 0.133086876155268,\n \"prompt_level_strict_acc_stderr,none\": 0.014617009342904514,\n\ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ \ \"acc,none\": 0.35147938829787234,\n \"acc_stderr,none\": 0.0043527222896365585,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \ \ \"acc_norm,none\": 0.5170977260892207,\n \"acc_norm_stderr,none\": 0.0062662351499772045,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"acc_norm,none\": 0.824,\n \"acc_norm_stderr,none\": 0.02413349752545711,\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5561497326203209,\n\ \ \"acc_norm_stderr,none\": 0.03642987131924726,\n \"alias\": \" \ \ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028128,\n\ \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"acc_norm,none\": 0.612,\n \"acc_norm_stderr,none\": 0.030881038748993922,\n\ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.03104602102825324,\n\ \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\": 0.030562070620993167,\n\ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ : {\n \"acc_norm,none\": 0.54,\n \"acc_norm_stderr,none\": 0.031584653891499004,\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.54,\n \"acc_norm_stderr,none\": 0.031584653891499004,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ : 0.44,\n \"acc_norm_stderr,none\": 0.031457244522235715,\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"acc_norm,none\": 0.804,\n \"acc_norm_stderr,none\": 0.02515685731325592,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ : 0.48,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n \"alias\"\ : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ : {\n \"acc_norm,none\": 0.476,\n \"acc_norm_stderr,none\": 0.03164968895968782,\n\ \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\": 0.027217995464553182,\n\ \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ : {\n \"acc_norm,none\": 0.4589041095890411,\n \"acc_norm_stderr,none\"\ : 0.041382249050673066,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401195,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.7,\n\ \ \"acc_norm_stderr,none\": 0.02904089347757585,\n \"alias\": \" \ \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.54,\n \"acc_norm_stderr,none\": 0.03158465389149899,\n\ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.6629213483146067,\n\ \ \"acc_norm_stderr,none\": 0.03553120966481323,\n \"alias\": \" \ \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.656,\n \"acc_norm_stderr,none\": 0.030104503392316385,\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.448,\n \ \ \"acc_norm_stderr,none\": 0.03151438761115355,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.292,\n \"acc_norm_stderr,none\": 0.02881432040220565,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"acc_norm,none\": 0.296,\n \"acc_norm_stderr,none\": 0.028928939388379638,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652239007,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.488,\n\ \ \"acc_norm_stderr,none\": 0.03167708558254709,\n \"alias\": \" \ \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ \ \"acc_norm,none\": 0.33976510067114096,\n \"acc_norm_stderr,none\": 0.013733321675524851,\n\ \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ : {\n \"acc_norm,none\": 0.3383838383838384,\n \"acc_norm_stderr,none\"\ : 0.03371124142626303,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.3315018315018315,\n\ \ \"acc_norm_stderr,none\": 0.02016484210875768,\n \"alias\": \" \ \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ \ \"acc_norm,none\": 0.35044642857142855,\n \"acc_norm_stderr,none\":\ \ 0.02256651759785534,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.133086876155268,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.014617009342904514,\n \ \ \"inst_level_strict_acc,none\": 0.18585131894484413,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.14048059149722736,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.014953371656822749,\n \"inst_level_loose_acc,none\"\ : 0.19304556354916066,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\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\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0,\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\": 0.35147938829787234,\n\ \ \"acc_stderr,none\": 0.0043527222896365585,\n \"alias\": \" - leaderboard_mmlu_pro\"\ \n },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.31613756613756616,\n\ \ \"acc_norm_stderr,none\": 0.016211743615540643,\n \"alias\": \"\ \ - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896,\n\ \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ : {\n \"acc_norm,none\": 0.2734375,\n \"acc_norm_stderr,none\": 0.027912287939448926,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.176,\n \"acc_norm_stderr,none\": 0.024133497525457126,\n\ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" repo_url: https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v2a-9B leaderboard_url: '' point_of_contact: '' configs: - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_boolean_expressions data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_causal_judgement data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_date_understanding data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_formal_fallacies data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_geometric_shapes data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_hyperbaton data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_movie_recommendation data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_navigate data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_object_counting data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_ruin_names data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_snarks data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_sports_understanding data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_temporal_sequences data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_web_of_lies data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_gpqa_diamond data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_gpqa_extended data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_gpqa_main data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_gpqa_main_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_ifeval data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_ifeval_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_math_algebra_hard data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_math_geometry_hard data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_math_num_theory_hard data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_math_prealgebra_hard data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_math_precalculus_hard data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_mmlu_pro data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_musr_murder_mysteries data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_musr_object_placements data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T18-19-31.104072.jsonl' - config_name: lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_musr_team_allocation data_files: - split: 2024_09_29T18_19_31.104072 path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T18-19-31.104072.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T18-19-31.104072.jsonl' --- # Dataset Card for Evaluation run of lemon07r/Gemma-2-Ataraxy-v2a-9B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [lemon07r/Gemma-2-Ataraxy-v2a-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v2a-9B) 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/lemon07r__Gemma-2-Ataraxy-v2a-9B-details", name="lemon07r__Gemma-2-Ataraxy-v2a-9B__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-09-29T18-19-31.104072](https://huggingface.co/datasets/open-llm-leaderboard/lemon07r__Gemma-2-Ataraxy-v2a-9B-details/blob/main/lemon07r__Gemma-2-Ataraxy-v2a-9B/results_2024-09-29T18-19-31.104072.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_strict_acc,none": 0.18585131894484413, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.19304556354916066, "inst_level_loose_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.14048059149722736, "prompt_level_loose_acc_stderr,none": 0.014953371656822749, "acc_norm,none": 0.4699701647425088, "acc_norm_stderr,none": 0.0053819999195042914, "prompt_level_strict_acc,none": 0.133086876155268, "prompt_level_strict_acc_stderr,none": 0.014617009342904514, "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "acc,none": 0.35147938829787234, "acc_stderr,none": 0.0043527222896365585, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.5170977260892207, "acc_norm_stderr,none": 0.0062662351499772045, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.824, "acc_norm_stderr,none": 0.02413349752545711, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.5561497326203209, "acc_norm_stderr,none": 0.03642987131924726, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028128, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.612, "acc_norm_stderr,none": 0.030881038748993922, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.03104602102825324, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.368, "acc_norm_stderr,none": 0.030562070620993167, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499004, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499004, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.44, "acc_norm_stderr,none": 0.031457244522235715, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.804, "acc_norm_stderr,none": 0.02515685731325592, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968782, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.027217995464553182, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.4589041095890411, "acc_norm_stderr,none": 0.041382249050673066, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401195, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.02904089347757585, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.03158465389149899, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.6629213483146067, "acc_norm_stderr,none": 0.03553120966481323, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.030104503392316385, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115355, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.292, "acc_norm_stderr,none": 0.02881432040220565, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.296, "acc_norm_stderr,none": 0.028928939388379638, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.24, "acc_norm_stderr,none": 0.027065293652239007, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254709, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.33976510067114096, "acc_norm_stderr,none": 0.013733321675524851, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.3383838383838384, "acc_norm_stderr,none": 0.03371124142626303, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.3315018315018315, "acc_norm_stderr,none": 0.02016484210875768, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.35044642857142855, "acc_norm_stderr,none": 0.02256651759785534, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.133086876155268, "prompt_level_strict_acc_stderr,none": 0.014617009342904514, "inst_level_strict_acc,none": 0.18585131894484413, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.14048059149722736, "prompt_level_loose_acc_stderr,none": 0.014953371656822749, "inst_level_loose_acc,none": 0.19304556354916066, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "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": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "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": 0.35147938829787234, "acc_stderr,none": 0.0043527222896365585, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.31613756613756616, "acc_norm_stderr,none": 0.016211743615540643, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.5, "acc_norm_stderr,none": 0.031686212526223896, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.2734375, "acc_norm_stderr,none": 0.027912287939448926, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.176, "acc_norm_stderr,none": 0.024133497525457126, "alias": " - leaderboard_musr_team_allocation" } }, "leaderboard": { "inst_level_strict_acc,none": 0.18585131894484413, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.19304556354916066, "inst_level_loose_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.14048059149722736, "prompt_level_loose_acc_stderr,none": 0.014953371656822749, "acc_norm,none": 0.4699701647425088, "acc_norm_stderr,none": 0.0053819999195042914, "prompt_level_strict_acc,none": 0.133086876155268, "prompt_level_strict_acc_stderr,none": 0.014617009342904514, "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "acc,none": 0.35147938829787234, "acc_stderr,none": 0.0043527222896365585, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.5170977260892207, "acc_norm_stderr,none": 0.0062662351499772045, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.824, "acc_norm_stderr,none": 0.02413349752545711, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.5561497326203209, "acc_norm_stderr,none": 0.03642987131924726, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028128, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.612, "acc_norm_stderr,none": 0.030881038748993922, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.03104602102825324, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.368, "acc_norm_stderr,none": 0.030562070620993167, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499004, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499004, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.44, "acc_norm_stderr,none": 0.031457244522235715, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.804, "acc_norm_stderr,none": 0.02515685731325592, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.476, "acc_norm_stderr,none": 0.03164968895968782, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.027217995464553182, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.4589041095890411, "acc_norm_stderr,none": 0.041382249050673066, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401195, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.02904089347757585, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.03158465389149899, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.6629213483146067, "acc_norm_stderr,none": 0.03553120966481323, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.656, "acc_norm_stderr,none": 0.030104503392316385, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.448, "acc_norm_stderr,none": 0.03151438761115355, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.292, "acc_norm_stderr,none": 0.02881432040220565, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.296, "acc_norm_stderr,none": 0.028928939388379638, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.24, "acc_norm_stderr,none": 0.027065293652239007, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254709, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.33976510067114096, "acc_norm_stderr,none": 0.013733321675524851, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.3383838383838384, "acc_norm_stderr,none": 0.03371124142626303, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.3315018315018315, "acc_norm_stderr,none": 0.02016484210875768, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.35044642857142855, "acc_norm_stderr,none": 0.02256651759785534, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.133086876155268, "prompt_level_strict_acc_stderr,none": 0.014617009342904514, "inst_level_strict_acc,none": 0.18585131894484413, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.14048059149722736, "prompt_level_loose_acc_stderr,none": 0.014953371656822749, "inst_level_loose_acc,none": 0.19304556354916066, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "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": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "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": 0.35147938829787234, "acc_stderr,none": 0.0043527222896365585, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.31613756613756616, "acc_norm_stderr,none": 0.016211743615540643, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.5, "acc_norm_stderr,none": 0.031686212526223896, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.2734375, "acc_norm_stderr,none": 0.027912287939448926, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.176, "acc_norm_stderr,none": 0.024133497525457126, "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. 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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]

alabulei/aelf-test

alabulei

--- license: apache-2.0 ---

DaniilOr/copy

DaniilOr

--- license: mit ---

open-llm-leaderboard/Cran-May__T.E-8.1-details

open-llm-leaderboard

--- pretty_name: Evaluation run of Cran-May/T.E-8.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Cran-May/T.E-8.1](https://huggingface.co/Cran-May/T.E-8.1)\nThe 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/Cran-May__T.E-8.1-details\"\ ,\n\tname=\"Cran-May__T.E-8.1__leaderboard_bbh_boolean_expressions\",\n\tsplit=\"\ latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results from run\ \ 2024-09-29T18-25-58.538578](https://huggingface.co/datasets/open-llm-leaderboard/Cran-May__T.E-8.1-details/blob/main/Cran-May__T.E-8.1/results_2024-09-29T18-25-58.538578.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_strict_acc,none\": 0.7517985611510791,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.6635859519408502,\n \"prompt_level_strict_acc_stderr,none\": 0.02033240600470129,\n\ \ \"acc,none\": 0.4432347074468085,\n \"acc_stderr,none\"\ : 0.004528997637022319,\n \"acc_norm,none\": 0.5078479699053055,\n \ \ \"acc_norm_stderr,none\": 0.005366506638519437,\n \"prompt_level_loose_acc,none\"\ : 0.6746765249537893,\n \"prompt_level_loose_acc_stderr,none\": 0.020160839912603132,\n\ \ \"inst_level_loose_acc,none\": 0.7613908872901679,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"exact_match,none\":\ \ 0.0634441087613293,\n \"exact_match_stderr,none\": 0.00659150584844867,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.555806283631314,\n \"acc_norm_stderr,none\"\ : 0.006190036548895745,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\"\ : 0.876,\n \"acc_norm_stderr,none\": 0.02088638225867326,\n \ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5561497326203209,\n\ \ \"acc_norm_stderr,none\": 0.03642987131924727,\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\"\ : 0.031235856237014553,\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ \n },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\"\ : 0.628,\n \"acc_norm_stderr,none\": 0.030630325944558317,\n \ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"\ leaderboard_bbh_formal_fallacies\": {\n \"acc_norm,none\": 0.608,\n \ \ \"acc_norm_stderr,none\": 0.030938207620401195,\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.516,\n \"acc_norm_stderr,none\"\ : 0.03166998503010742,\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ \n },\n \"leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\"\ : 0.552,\n \"acc_norm_stderr,none\": 0.031514387611153515,\n \ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\"\ : 0.03142556706028128,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"acc_norm,none\": 0.784,\n \"acc_norm_stderr,none\": 0.02607865766373272,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ acc_norm,none\": 0.644,\n \"acc_norm_stderr,none\": 0.03034368065715321,\n\ \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.7,\n\ \ \"acc_norm_stderr,none\": 0.02904089347757586,\n \"alias\"\ : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\"\ : 0.030630325944558313,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ acc_norm,none\": 0.5753424657534246,\n \"acc_norm_stderr,none\": 0.04104862657656194,\n\ \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\": 0.030418764025174988,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ : 0.596,\n \"acc_norm_stderr,none\": 0.031096688184825295,\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\"\ : 0.0316364895315444,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ : 0.7247191011235955,\n \"acc_norm_stderr,none\": 0.03357269922538226,\n\ \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.724,\n \"acc_norm_stderr,none\"\ : 0.028328537274211363,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ acc_norm,none\": 0.5,\n \"acc_norm_stderr,none\": 0.031686212526223896,\n\ \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.232,\n \"acc_norm_stderr,none\": 0.026750070374865167,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\"\ : 0.0236928132054926,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"acc_norm,none\": 0.284,\n \"acc_norm_stderr,none\"\ : 0.02857695873043741,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ : 0.56,\n \"acc_norm_stderr,none\": 0.031457244522235646,\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ : {\n \"acc_norm,none\": 0.31291946308724833,\n \"acc_norm_stderr,none\"\ : 0.013437044976303247,\n \"alias\": \" - leaderboard_gpqa\"\n \ \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.2727272727272727,\n\ \ \"acc_norm_stderr,none\": 0.03173071239071724,\n \"alias\"\ : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"acc_norm,none\": 0.32051282051282054,\n \"acc_norm_stderr,none\"\ : 0.019990105460697117,\n \"alias\": \" - leaderboard_gpqa_extended\"\ \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ : 0.32142857142857145,\n \"acc_norm_stderr,none\": 0.022089519157170164,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.6635859519408502,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.02033240600470129,\n \ \ \"inst_level_strict_acc,none\": 0.7517985611510791,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.6746765249537893,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.020160839912603132,\n \ \ \"inst_level_loose_acc,none\": 0.7613908872901679,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.0634441087613293,\n\ \ \"exact_match_stderr,none\": 0.00659150584844867,\n \"alias\"\ : \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.12052117263843648,\n \"exact_match_stderr,none\"\ : 0.0186115976549282,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ \ \"exact_match,none\": 0.016260162601626018,\n \"exact_match_stderr,none\"\ : 0.011450452676925661,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.030303030303030304,\n \"exact_match_stderr,none\": 0.014977019714308249,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ : 0.014285714285714285,\n \"exact_match_stderr,none\": 0.007104350893915322,\n\ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.045454545454545456,\n \"exact_match_stderr,none\": 0.016839967582612473,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ : 0.12435233160621761,\n \"exact_match_stderr,none\": 0.02381447708659356,\n\ \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ \ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.044444444444444446,\n \"exact_match_stderr,none\": 0.01780263602032456,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ \ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.4432347074468085,\n\ \ \"acc_stderr,none\": 0.004528997637022319,\n \"alias\":\ \ \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ \ \"acc_norm,none\": 0.4497354497354497,\n \"acc_norm_stderr,none\"\ : 0.017907859743332224,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ : 0.54,\n \"acc_norm_stderr,none\": 0.031584653891499004,\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"\ leaderboard_musr_object_placements\": {\n \"acc_norm,none\": 0.3515625,\n\ \ \"acc_norm_stderr,none\": 0.029899590697818237,\n \"alias\"\ : \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\"\ : 0.031584653891499,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ \n }\n },\n \"leaderboard\": {\n \"inst_level_strict_acc,none\"\ : 0.7517985611510791,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ \ \"prompt_level_strict_acc,none\": 0.6635859519408502,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.02033240600470129,\n \"acc,none\": 0.4432347074468085,\n \"acc_stderr,none\"\ : 0.004528997637022319,\n \"acc_norm,none\": 0.5078479699053055,\n \ \ \"acc_norm_stderr,none\": 0.005366506638519437,\n \"prompt_level_loose_acc,none\"\ : 0.6746765249537893,\n \"prompt_level_loose_acc_stderr,none\": 0.020160839912603132,\n\ \ \"inst_level_loose_acc,none\": 0.7613908872901679,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"exact_match,none\": 0.0634441087613293,\n \"exact_match_stderr,none\"\ : 0.00659150584844867,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.555806283631314,\n \"acc_norm_stderr,none\"\ : 0.006190036548895745,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\": 0.876,\n\ \ \"acc_norm_stderr,none\": 0.02088638225867326,\n \"alias\": \" \ \ - leaderboard_bbh_boolean_expressions\"\n },\n \"leaderboard_bbh_causal_judgement\"\ : {\n \"acc_norm,none\": 0.5561497326203209,\n \"acc_norm_stderr,none\"\ : 0.03642987131924727,\n \"alias\": \" - leaderboard_bbh_causal_judgement\"\ \n },\n \"leaderboard_bbh_date_understanding\": {\n \"acc_norm,none\"\ : 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014553,\n \"alias\"\ : \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"acc_norm,none\": 0.628,\n \"acc_norm_stderr,none\": 0.030630325944558317,\n\ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.608,\n \"acc_norm_stderr,none\": 0.030938207620401195,\n\ \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010742,\n\ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ : {\n \"acc_norm,none\": 0.552,\n \"acc_norm_stderr,none\": 0.031514387611153515,\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028128,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ : 0.48,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"acc_norm,none\": 0.784,\n \"acc_norm_stderr,none\": 0.02607865766373272,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ : 0.644,\n \"acc_norm_stderr,none\": 0.03034368065715321,\n \"alias\"\ : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ : {\n \"acc_norm,none\": 0.7,\n \"acc_norm_stderr,none\": 0.02904089347757586,\n\ \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\": 0.030630325944558313,\n\ \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ : {\n \"acc_norm,none\": 0.5753424657534246,\n \"acc_norm_stderr,none\"\ : 0.04104862657656194,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\": 0.030418764025174988,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.596,\n\ \ \"acc_norm_stderr,none\": 0.031096688184825295,\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.0316364895315444,\n\ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.7247191011235955,\n\ \ \"acc_norm_stderr,none\": 0.03357269922538226,\n \"alias\": \" \ \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.724,\n \"acc_norm_stderr,none\": 0.028328537274211363,\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.5,\n \ \ \"acc_norm_stderr,none\": 0.031686212526223896,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.232,\n \"acc_norm_stderr,none\": 0.026750070374865167,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\": 0.0236928132054926,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"acc_norm,none\": 0.284,\n \"acc_norm_stderr,none\": 0.02857695873043741,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.56,\n\ \ \"acc_norm_stderr,none\": 0.031457244522235646,\n \"alias\": \"\ \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ \ \"acc_norm,none\": 0.31291946308724833,\n \"acc_norm_stderr,none\": 0.013437044976303247,\n\ \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ : {\n \"acc_norm,none\": 0.2727272727272727,\n \"acc_norm_stderr,none\"\ : 0.03173071239071724,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.32051282051282054,\n\ \ \"acc_norm_stderr,none\": 0.019990105460697117,\n \"alias\": \"\ \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ \ \"acc_norm,none\": 0.32142857142857145,\n \"acc_norm_stderr,none\"\ : 0.022089519157170164,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.6635859519408502,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.02033240600470129,\n \ \ \"inst_level_strict_acc,none\": 0.7517985611510791,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.6746765249537893,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.020160839912603132,\n \"inst_level_loose_acc,none\"\ : 0.7613908872901679,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.0634441087613293,\n \"exact_match_stderr,none\"\ : 0.00659150584844867,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.12052117263843648,\n\ \ \"exact_match_stderr,none\": 0.0186115976549282,\n \"alias\": \"\ \ - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.016260162601626018,\n \"exact_match_stderr,none\"\ : 0.011450452676925661,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.030303030303030304,\n \"exact_match_stderr,none\": 0.014977019714308249,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"exact_match,none\": 0.014285714285714285,\n \"exact_match_stderr,none\"\ : 0.007104350893915322,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.045454545454545456,\n \"exact_match_stderr,none\": 0.016839967582612473,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"exact_match,none\": 0.12435233160621761,\n \"exact_match_stderr,none\"\ : 0.02381447708659356,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.044444444444444446,\n \"exact_match_stderr,none\": 0.01780263602032456,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"acc,none\": 0.4432347074468085,\n \"acc_stderr,none\": 0.004528997637022319,\n\ \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.4497354497354497,\n \"acc_norm_stderr,none\"\ : 0.017907859743332224,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.54,\n\ \ \"acc_norm_stderr,none\": 0.031584653891499004,\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ : {\n \"acc_norm,none\": 0.3515625,\n \"acc_norm_stderr,none\": 0.029899590697818237,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499,\n\ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" repo_url: https://huggingface.co/Cran-May/T.E-8.1 leaderboard_url: '' point_of_contact: '' configs: - config_name: Cran-May__T.E-8.1__leaderboard_bbh_boolean_expressions data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_causal_judgement data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_date_understanding data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_formal_fallacies data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_geometric_shapes data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_hyperbaton data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_movie_recommendation data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_navigate data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_object_counting data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_ruin_names data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_snarks data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_sports_understanding data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_temporal_sequences data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_bbh_web_of_lies data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_gpqa_diamond data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_gpqa_extended data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_gpqa_main data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_gpqa_main_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_ifeval data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_ifeval_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_math_algebra_hard data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_math_geometry_hard data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_math_num_theory_hard data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_math_prealgebra_hard data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_math_precalculus_hard data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_mmlu_pro data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_musr_murder_mysteries data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_musr_object_placements data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T18-25-58.538578.jsonl' - config_name: Cran-May__T.E-8.1__leaderboard_musr_team_allocation data_files: - split: 2024_09_29T18_25_58.538578 path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T18-25-58.538578.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T18-25-58.538578.jsonl' --- # Dataset Card for Evaluation run of Cran-May/T.E-8.1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Cran-May/T.E-8.1](https://huggingface.co/Cran-May/T.E-8.1) 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/Cran-May__T.E-8.1-details", name="Cran-May__T.E-8.1__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-09-29T18-25-58.538578](https://huggingface.co/datasets/open-llm-leaderboard/Cran-May__T.E-8.1-details/blob/main/Cran-May__T.E-8.1/results_2024-09-29T18-25-58.538578.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_strict_acc,none": 0.7517985611510791, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.6635859519408502, "prompt_level_strict_acc_stderr,none": 0.02033240600470129, "acc,none": 0.4432347074468085, "acc_stderr,none": 0.004528997637022319, "acc_norm,none": 0.5078479699053055, "acc_norm_stderr,none": 0.005366506638519437, "prompt_level_loose_acc,none": 0.6746765249537893, "prompt_level_loose_acc_stderr,none": 0.020160839912603132, "inst_level_loose_acc,none": 0.7613908872901679, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.00659150584844867, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.555806283631314, "acc_norm_stderr,none": 0.006190036548895745, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.876, "acc_norm_stderr,none": 0.02088638225867326, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.5561497326203209, "acc_norm_stderr,none": 0.03642987131924727, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.584, "acc_norm_stderr,none": 0.031235856237014553, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.628, "acc_norm_stderr,none": 0.030630325944558317, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401195, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010742, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.031514387611153515, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028128, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.784, "acc_norm_stderr,none": 0.02607865766373272, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.644, "acc_norm_stderr,none": 0.03034368065715321, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.02904089347757586, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.030630325944558313, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.5753424657534246, "acc_norm_stderr,none": 0.04104862657656194, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.030418764025174988, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.031096688184825295, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.0316364895315444, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.7247191011235955, "acc_norm_stderr,none": 0.03357269922538226, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.724, "acc_norm_stderr,none": 0.028328537274211363, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.5, "acc_norm_stderr,none": 0.031686212526223896, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.232, "acc_norm_stderr,none": 0.026750070374865167, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.168, "acc_norm_stderr,none": 0.0236928132054926, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.284, "acc_norm_stderr,none": 0.02857695873043741, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.031457244522235646, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.31291946308724833, "acc_norm_stderr,none": 0.013437044976303247, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.2727272727272727, "acc_norm_stderr,none": 0.03173071239071724, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.32051282051282054, "acc_norm_stderr,none": 0.019990105460697117, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.32142857142857145, "acc_norm_stderr,none": 0.022089519157170164, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.6635859519408502, "prompt_level_strict_acc_stderr,none": 0.02033240600470129, "inst_level_strict_acc,none": 0.7517985611510791, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.6746765249537893, "prompt_level_loose_acc_stderr,none": 0.020160839912603132, "inst_level_loose_acc,none": 0.7613908872901679, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.00659150584844867, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.12052117263843648, "exact_match_stderr,none": 0.0186115976549282, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.016260162601626018, "exact_match_stderr,none": 0.011450452676925661, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.030303030303030304, "exact_match_stderr,none": 0.014977019714308249, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.014285714285714285, "exact_match_stderr,none": 0.007104350893915322, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.045454545454545456, "exact_match_stderr,none": 0.016839967582612473, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.12435233160621761, "exact_match_stderr,none": 0.02381447708659356, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.044444444444444446, "exact_match_stderr,none": 0.01780263602032456, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.4432347074468085, "acc_stderr,none": 0.004528997637022319, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.4497354497354497, "acc_norm_stderr,none": 0.017907859743332224, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499004, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.3515625, "acc_norm_stderr,none": 0.029899590697818237, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499, "alias": " - leaderboard_musr_team_allocation" } }, "leaderboard": { "inst_level_strict_acc,none": 0.7517985611510791, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.6635859519408502, "prompt_level_strict_acc_stderr,none": 0.02033240600470129, "acc,none": 0.4432347074468085, "acc_stderr,none": 0.004528997637022319, "acc_norm,none": 0.5078479699053055, "acc_norm_stderr,none": 0.005366506638519437, "prompt_level_loose_acc,none": 0.6746765249537893, "prompt_level_loose_acc_stderr,none": 0.020160839912603132, "inst_level_loose_acc,none": 0.7613908872901679, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.00659150584844867, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.555806283631314, "acc_norm_stderr,none": 0.006190036548895745, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.876, "acc_norm_stderr,none": 0.02088638225867326, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.5561497326203209, "acc_norm_stderr,none": 0.03642987131924727, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.584, "acc_norm_stderr,none": 0.031235856237014553, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.628, "acc_norm_stderr,none": 0.030630325944558317, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.608, "acc_norm_stderr,none": 0.030938207620401195, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010742, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.552, "acc_norm_stderr,none": 0.031514387611153515, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028128, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.784, "acc_norm_stderr,none": 0.02607865766373272, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.644, "acc_norm_stderr,none": 0.03034368065715321, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.7, "acc_norm_stderr,none": 0.02904089347757586, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.030630325944558313, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.5753424657534246, "acc_norm_stderr,none": 0.04104862657656194, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.030418764025174988, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.596, "acc_norm_stderr,none": 0.031096688184825295, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.0316364895315444, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.7247191011235955, "acc_norm_stderr,none": 0.03357269922538226, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.724, "acc_norm_stderr,none": 0.028328537274211363, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.5, "acc_norm_stderr,none": 0.031686212526223896, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.232, "acc_norm_stderr,none": 0.026750070374865167, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.168, "acc_norm_stderr,none": 0.0236928132054926, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.284, "acc_norm_stderr,none": 0.02857695873043741, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.031457244522235646, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.31291946308724833, "acc_norm_stderr,none": 0.013437044976303247, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.2727272727272727, "acc_norm_stderr,none": 0.03173071239071724, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.32051282051282054, "acc_norm_stderr,none": 0.019990105460697117, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.32142857142857145, "acc_norm_stderr,none": 0.022089519157170164, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.6635859519408502, "prompt_level_strict_acc_stderr,none": 0.02033240600470129, "inst_level_strict_acc,none": 0.7517985611510791, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.6746765249537893, "prompt_level_loose_acc_stderr,none": 0.020160839912603132, "inst_level_loose_acc,none": 0.7613908872901679, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.0634441087613293, "exact_match_stderr,none": 0.00659150584844867, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.12052117263843648, "exact_match_stderr,none": 0.0186115976549282, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.016260162601626018, "exact_match_stderr,none": 0.011450452676925661, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.030303030303030304, "exact_match_stderr,none": 0.014977019714308249, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.014285714285714285, "exact_match_stderr,none": 0.007104350893915322, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.045454545454545456, "exact_match_stderr,none": 0.016839967582612473, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.12435233160621761, "exact_match_stderr,none": 0.02381447708659356, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.044444444444444446, "exact_match_stderr,none": 0.01780263602032456, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.4432347074468085, "acc_stderr,none": 0.004528997637022319, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.4497354497354497, "acc_norm_stderr,none": 0.017907859743332224, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.54, "acc_norm_stderr,none": 0.031584653891499004, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.3515625, "acc_norm_stderr,none": 0.029899590697818237, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499, "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]

DaniilOr/reverse

DaniilOr

--- license: mit ---

naskimed/testing_data

naskimed

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 4599554 num_examples: 2013 download_size: 2125662 dataset_size: 4599554 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/amd__AMD-Llama-135m-details

open-llm-leaderboard

--- pretty_name: Evaluation run of amd/AMD-Llama-135m dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [amd/AMD-Llama-135m](https://huggingface.co/amd/AMD-Llama-135m)\nThe 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\n\ from datasets import load_dataset\ndata = load_dataset(\n\t\"open-llm-leaderboard/amd__AMD-Llama-135m-details\"\ ,\n\tname=\"amd__AMD-Llama-135m__leaderboard_bbh_boolean_expressions\",\n\tsplit=\"\ latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results from run\ \ 2024-09-29T18-43-23.577285](https://huggingface.co/datasets/open-llm-leaderboard/amd__AMD-Llama-135m-details/blob/main/amd__AMD-Llama-135m/results_2024-09-29T18-43-23.577285.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\": 0.2956284861849786,\n \"acc_norm_stderr,none\"\ : 0.004947686335151244,\n \"inst_level_loose_acc,none\": 0.2482014388489209,\n\ \ \"inst_level_loose_acc_stderr,none\": \"N/A\",\n \"exact_match,none\"\ : 0.005287009063444109,\n \"exact_match_stderr,none\": 0.001996953981139152,\n\ \ \"prompt_level_loose_acc,none\": 0.12754158964879853,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.014354940597336746,\n \"\ prompt_level_strict_acc,none\": 0.12384473197781885,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.014175305492766679,\n \"inst_level_strict_acc,none\": 0.2446043165467626,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc,none\"\ : 0.11685505319148937,\n \"acc_stderr,none\": 0.0029287943595543192,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.2938725915639646,\n \"acc_norm_stderr,none\"\ : 0.005652221363141021,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\"\ : 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004,\n \ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5187165775401069,\n\ \ \"acc_norm_stderr,none\": 0.03663608375537843,\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\":\ \ 0.02534897002097912,\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ \n },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\"\ : 0.316,\n \"acc_norm_stderr,none\": 0.029462657598578648,\n \ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"\ leaderboard_bbh_formal_fallacies\": {\n \"acc_norm,none\": 0.532,\n \ \ \"acc_norm_stderr,none\": 0.031621252575725574,\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.088,\n \"acc_norm_stderr,none\"\ : 0.017953084777052892,\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ \n },\n \"leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\"\ : 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743,\n \ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.204,\n \"acc_norm_stderr,none\"\ : 0.025537121574548162,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"acc_norm,none\": 0.14,\n \"acc_norm_stderr,none\": 0.021989409645240245,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475363,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ acc_norm,none\": 0.28,\n \"acc_norm_stderr,none\": 0.02845414827783231,\n\ \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.42,\n\ \ \"acc_norm_stderr,none\": 0.03127799950463661,\n \"alias\"\ : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.0,\n \"acc_norm_stderr,none\":\ \ 0.0,\n \"alias\": \" - leaderboard_bbh_object_counting\"\n \ \ },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"acc_norm,none\"\ : 0.19863013698630136,\n \"acc_norm_stderr,none\": 0.03313256608889815,\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\": 0.021172081336336534,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ : 0.236,\n \"acc_norm_stderr,none\": 0.026909337594953852,\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.12,\n \"acc_norm_stderr,none\"\ : 0.020593600596839998,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ : 0.5280898876404494,\n \"acc_norm_stderr,none\": 0.03752294651708463,\n\ \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\"\ : 0.031584653891499004,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ acc_norm,none\": 0.284,\n \"acc_norm_stderr,none\": 0.02857695873043744,\n\ \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.208,\n \"acc_norm_stderr,none\": 0.02572139890141637,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"acc_norm,none\": 0.152,\n \"acc_norm_stderr,none\"\ : 0.022752024491765464,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"acc_norm,none\": 0.332,\n \"acc_norm_stderr,none\"\ : 0.029844039047465857,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254714,\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ : {\n \"acc_norm,none\": 0.2525167785234899,\n \"acc_norm_stderr,none\"\ : 0.012593416400106734,\n \"alias\": \" - leaderboard_gpqa\"\n \ \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.2828282828282828,\n\ \ \"acc_norm_stderr,none\": 0.032087795587867514,\n \"alias\"\ : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"acc_norm,none\": 0.24725274725274726,\n \"acc_norm_stderr,none\"\ : 0.018479784453482837,\n \"alias\": \" - leaderboard_gpqa_extended\"\ \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ : 0.24553571428571427,\n \"acc_norm_stderr,none\": 0.020357428454484603,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.12384473197781885,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.014175305492766679,\n \ \ \"inst_level_strict_acc,none\": 0.2446043165467626,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.12754158964879853,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.014354940597336746,\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\": 0.005287009063444109,\n\ \ \"exact_match_stderr,none\": 0.001996953981139152,\n \"\ alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.006514657980456026,\n \"exact_match_stderr,none\"\ : 0.004599025618546258,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\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\": 0.007142857142857143,\n \"exact_match_stderr,none\"\ : 0.005041703051390571,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.006493506493506494,\n \"exact_match_stderr,none\": 0.006493506493506494,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ : 0.0051813471502590676,\n \"exact_match_stderr,none\": 0.0051813471502590676,\n\ \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ \ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.007407407407407408,\n \"exact_match_stderr,none\": 0.007407407407407408,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ \ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.11685505319148937,\n\ \ \"acc_stderr,none\": 0.002928794359554319,\n \"alias\":\ \ \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ \ \"acc_norm,none\": 0.376984126984127,\n \"acc_norm_stderr,none\"\ : 0.017204281211768292,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ : 0.52,\n \"acc_norm_stderr,none\": 0.03166085340849512,\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"\ leaderboard_musr_object_placements\": {\n \"acc_norm,none\": 0.25390625,\n\ \ \"acc_norm_stderr,none\": 0.027256074423586178,\n \"alias\"\ : \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\"\ : 0.03041876402517494,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ \n }\n },\n \"leaderboard\": {\n \"acc_norm,none\": 0.2956284861849786,\n\ \ \"acc_norm_stderr,none\": 0.004947686335151244,\n \"inst_level_loose_acc,none\"\ : 0.2482014388489209,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"exact_match,none\": 0.005287009063444109,\n \"exact_match_stderr,none\"\ : 0.001996953981139152,\n \"prompt_level_loose_acc,none\": 0.12754158964879853,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.014354940597336746,\n \ \ \"prompt_level_strict_acc,none\": 0.12384473197781885,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.014175305492766679,\n \"inst_level_strict_acc,none\": 0.2446043165467626,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc,none\":\ \ 0.11685505319148937,\n \"acc_stderr,none\": 0.0029287943595543192,\n \ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"\ acc_norm,none\": 0.2938725915639646,\n \"acc_norm_stderr,none\": 0.005652221363141021,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004,\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.5187165775401069,\n\ \ \"acc_norm_stderr,none\": 0.03663608375537843,\n \"alias\": \" \ \ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.2,\n \"acc_norm_stderr,none\": 0.02534897002097912,\n\ \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"acc_norm,none\": 0.316,\n \"acc_norm_stderr,none\": 0.029462657598578648,\n\ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\": 0.031621252575725574,\n\ \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.088,\n \"acc_norm_stderr,none\": 0.017953084777052892,\n\ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ : {\n \"acc_norm,none\": 0.516,\n \"acc_norm_stderr,none\": 0.03166998503010743,\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.204,\n \"acc_norm_stderr,none\": 0.025537121574548162,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ : 0.14,\n \"acc_norm_stderr,none\": 0.021989409645240245,\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475363,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ : 0.28,\n \"acc_norm_stderr,none\": 0.02845414827783231,\n \"alias\"\ : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ : {\n \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661,\n\ \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.0,\n \"acc_norm_stderr,none\": 0.0,\n \ \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ : {\n \"acc_norm,none\": 0.19863013698630136,\n \"acc_norm_stderr,none\"\ : 0.03313256608889815,\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\": 0.021172081336336534,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.236,\n\ \ \"acc_norm_stderr,none\": 0.026909337594953852,\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.12,\n \"acc_norm_stderr,none\": 0.020593600596839998,\n\ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.5280898876404494,\n\ \ \"acc_norm_stderr,none\": 0.03752294651708463,\n \"alias\": \" \ \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.031584653891499004,\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.284,\n \ \ \"acc_norm_stderr,none\": 0.02857695873043744,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.208,\n \"acc_norm_stderr,none\": 0.02572139890141637,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"acc_norm,none\": 0.152,\n \"acc_norm_stderr,none\": 0.022752024491765464,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"acc_norm,none\": 0.332,\n \"acc_norm_stderr,none\": 0.029844039047465857,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.488,\n\ \ \"acc_norm_stderr,none\": 0.03167708558254714,\n \"alias\": \" \ \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ \ \"acc_norm,none\": 0.2525167785234899,\n \"acc_norm_stderr,none\": 0.012593416400106734,\n\ \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ : {\n \"acc_norm,none\": 0.2828282828282828,\n \"acc_norm_stderr,none\"\ : 0.032087795587867514,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.24725274725274726,\n\ \ \"acc_norm_stderr,none\": 0.018479784453482837,\n \"alias\": \"\ \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ \ \"acc_norm,none\": 0.24553571428571427,\n \"acc_norm_stderr,none\"\ : 0.020357428454484603,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.12384473197781885,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.014175305492766679,\n \ \ \"inst_level_strict_acc,none\": 0.2446043165467626,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.12754158964879853,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.014354940597336746,\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\": 0.005287009063444109,\n \"exact_match_stderr,none\"\ : 0.001996953981139152,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.006514657980456026,\n\ \ \"exact_match_stderr,none\": 0.004599025618546258,\n \"alias\":\ \ \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\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\"\ : 0.007142857142857143,\n \"exact_match_stderr,none\": 0.005041703051390571,\n\ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n },\n\ \ \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\": 0.006493506493506494,\n\ \ \"exact_match_stderr,none\": 0.006493506493506494,\n \"alias\":\ \ \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"exact_match,none\": 0.0051813471502590676,\n \"exact_match_stderr,none\"\ : 0.0051813471502590676,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.007407407407407408,\n \"exact_match_stderr,none\": 0.007407407407407408,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"acc,none\": 0.11685505319148937,\n \"acc_stderr,none\": 0.002928794359554319,\n\ \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.376984126984127,\n \"acc_norm_stderr,none\"\ : 0.017204281211768292,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.52,\n\ \ \"acc_norm_stderr,none\": 0.03166085340849512,\n \"alias\": \" \ \ - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ : {\n \"acc_norm,none\": 0.25390625,\n \"acc_norm_stderr,none\": 0.027256074423586178,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\": 0.03041876402517494,\n\ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" repo_url: https://huggingface.co/amd/AMD-Llama-135m leaderboard_url: '' point_of_contact: '' configs: - config_name: amd__AMD-Llama-135m__leaderboard_bbh_boolean_expressions data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_causal_judgement data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_date_understanding data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_formal_fallacies data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_geometric_shapes data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_hyperbaton data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_movie_recommendation data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_navigate data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_object_counting data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_ruin_names data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_snarks data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_sports_understanding data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_temporal_sequences data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_bbh_web_of_lies data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_gpqa_diamond data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_gpqa_extended data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_gpqa_main data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_gpqa_main_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_ifeval data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_ifeval_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_math_algebra_hard data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_math_geometry_hard data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_math_num_theory_hard data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_math_prealgebra_hard data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_math_precalculus_hard data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_mmlu_pro data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_musr_murder_mysteries data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_musr_object_placements data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T18-43-23.577285.jsonl' - config_name: amd__AMD-Llama-135m__leaderboard_musr_team_allocation data_files: - split: 2024_09_29T18_43_23.577285 path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T18-43-23.577285.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T18-43-23.577285.jsonl' --- # Dataset Card for Evaluation run of amd/AMD-Llama-135m <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [amd/AMD-Llama-135m](https://huggingface.co/amd/AMD-Llama-135m) 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/amd__AMD-Llama-135m-details", name="amd__AMD-Llama-135m__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-09-29T18-43-23.577285](https://huggingface.co/datasets/open-llm-leaderboard/amd__AMD-Llama-135m-details/blob/main/amd__AMD-Llama-135m/results_2024-09-29T18-43-23.577285.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": 0.2956284861849786, "acc_norm_stderr,none": 0.004947686335151244, "inst_level_loose_acc,none": 0.2482014388489209, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.005287009063444109, "exact_match_stderr,none": 0.001996953981139152, "prompt_level_loose_acc,none": 0.12754158964879853, "prompt_level_loose_acc_stderr,none": 0.014354940597336746, "prompt_level_strict_acc,none": 0.12384473197781885, "prompt_level_strict_acc_stderr,none": 0.014175305492766679, "inst_level_strict_acc,none": 0.2446043165467626, "inst_level_strict_acc_stderr,none": "N/A", "acc,none": 0.11685505319148937, "acc_stderr,none": 0.0029287943595543192, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.2938725915639646, "acc_norm_stderr,none": 0.005652221363141021, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.5187165775401069, "acc_norm_stderr,none": 0.03663608375537843, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.2, "acc_norm_stderr,none": 0.02534897002097912, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.316, "acc_norm_stderr,none": 0.029462657598578648, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.532, "acc_norm_stderr,none": 0.031621252575725574, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.088, "acc_norm_stderr,none": 0.017953084777052892, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010743, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.204, "acc_norm_stderr,none": 0.025537121574548162, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.14, "acc_norm_stderr,none": 0.021989409645240245, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475363, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.28, "acc_norm_stderr,none": 0.02845414827783231, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.0, "acc_norm_stderr,none": 0.0, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.19863013698630136, "acc_norm_stderr,none": 0.03313256608889815, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.128, "acc_norm_stderr,none": 0.021172081336336534, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.236, "acc_norm_stderr,none": 0.026909337594953852, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.12, "acc_norm_stderr,none": 0.020593600596839998, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.5280898876404494, "acc_norm_stderr,none": 0.03752294651708463, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.284, "acc_norm_stderr,none": 0.02857695873043744, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.208, "acc_norm_stderr,none": 0.02572139890141637, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.152, "acc_norm_stderr,none": 0.022752024491765464, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.332, "acc_norm_stderr,none": 0.029844039047465857, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254714, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.2525167785234899, "acc_norm_stderr,none": 0.012593416400106734, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.2828282828282828, "acc_norm_stderr,none": 0.032087795587867514, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.24725274725274726, "acc_norm_stderr,none": 0.018479784453482837, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.24553571428571427, "acc_norm_stderr,none": 0.020357428454484603, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.12384473197781885, "prompt_level_strict_acc_stderr,none": 0.014175305492766679, "inst_level_strict_acc,none": 0.2446043165467626, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.12754158964879853, "prompt_level_loose_acc_stderr,none": 0.014354940597336746, "inst_level_loose_acc,none": 0.24820143884892087, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.005287009063444109, "exact_match_stderr,none": 0.001996953981139152, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.006514657980456026, "exact_match_stderr,none": 0.004599025618546258, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "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": 0.007142857142857143, "exact_match_stderr,none": 0.005041703051390571, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.006493506493506494, "exact_match_stderr,none": 0.006493506493506494, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.0051813471502590676, "exact_match_stderr,none": 0.0051813471502590676, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.007407407407407408, "exact_match_stderr,none": 0.007407407407407408, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.11685505319148937, "acc_stderr,none": 0.002928794359554319, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.376984126984127, "acc_norm_stderr,none": 0.017204281211768292, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.25390625, "acc_norm_stderr,none": 0.027256074423586178, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.36, "acc_norm_stderr,none": 0.03041876402517494, "alias": " - leaderboard_musr_team_allocation" } }, "leaderboard": { "acc_norm,none": 0.2956284861849786, "acc_norm_stderr,none": 0.004947686335151244, "inst_level_loose_acc,none": 0.2482014388489209, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.005287009063444109, "exact_match_stderr,none": 0.001996953981139152, "prompt_level_loose_acc,none": 0.12754158964879853, "prompt_level_loose_acc_stderr,none": 0.014354940597336746, "prompt_level_strict_acc,none": 0.12384473197781885, "prompt_level_strict_acc_stderr,none": 0.014175305492766679, "inst_level_strict_acc,none": 0.2446043165467626, "inst_level_strict_acc_stderr,none": "N/A", "acc,none": 0.11685505319148937, "acc_stderr,none": 0.0029287943595543192, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.2938725915639646, "acc_norm_stderr,none": 0.005652221363141021, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.5187165775401069, "acc_norm_stderr,none": 0.03663608375537843, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.2, "acc_norm_stderr,none": 0.02534897002097912, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.316, "acc_norm_stderr,none": 0.029462657598578648, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.532, "acc_norm_stderr,none": 0.031621252575725574, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.088, "acc_norm_stderr,none": 0.017953084777052892, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.516, "acc_norm_stderr,none": 0.03166998503010743, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.204, "acc_norm_stderr,none": 0.025537121574548162, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.14, "acc_norm_stderr,none": 0.021989409645240245, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475363, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.28, "acc_norm_stderr,none": 0.02845414827783231, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.0, "acc_norm_stderr,none": 0.0, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.19863013698630136, "acc_norm_stderr,none": 0.03313256608889815, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.128, "acc_norm_stderr,none": 0.021172081336336534, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.236, "acc_norm_stderr,none": 0.026909337594953852, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.12, "acc_norm_stderr,none": 0.020593600596839998, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.5280898876404494, "acc_norm_stderr,none": 0.03752294651708463, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.031584653891499004, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.284, "acc_norm_stderr,none": 0.02857695873043744, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.208, "acc_norm_stderr,none": 0.02572139890141637, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.152, "acc_norm_stderr,none": 0.022752024491765464, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.332, "acc_norm_stderr,none": 0.029844039047465857, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254714, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.2525167785234899, "acc_norm_stderr,none": 0.012593416400106734, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.2828282828282828, "acc_norm_stderr,none": 0.032087795587867514, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.24725274725274726, "acc_norm_stderr,none": 0.018479784453482837, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.24553571428571427, "acc_norm_stderr,none": 0.020357428454484603, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.12384473197781885, "prompt_level_strict_acc_stderr,none": 0.014175305492766679, "inst_level_strict_acc,none": 0.2446043165467626, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.12754158964879853, "prompt_level_loose_acc_stderr,none": 0.014354940597336746, "inst_level_loose_acc,none": 0.24820143884892087, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.005287009063444109, "exact_match_stderr,none": 0.001996953981139152, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.006514657980456026, "exact_match_stderr,none": 0.004599025618546258, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "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": 0.007142857142857143, "exact_match_stderr,none": 0.005041703051390571, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.006493506493506494, "exact_match_stderr,none": 0.006493506493506494, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.0051813471502590676, "exact_match_stderr,none": 0.0051813471502590676, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.007407407407407408, "exact_match_stderr,none": 0.007407407407407408, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.11685505319148937, "acc_stderr,none": 0.002928794359554319, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.376984126984127, "acc_norm_stderr,none": 0.017204281211768292, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.52, "acc_norm_stderr,none": 0.03166085340849512, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.25390625, "acc_norm_stderr,none": 0.027256074423586178, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.36, "acc_norm_stderr,none": 0.03041876402517494, "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.). 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ZixuanKe/cfa_unsup

ZixuanKe

--- dataset_info: features: - name: text dtype: string - name: topic dtype: string - name: title dtype: string - name: llama3_input_ids sequence: int64 - name: llama3_attention_mask sequence: int64 - name: llama3_special_tokens_mask sequence: int64 - name: subset dtype: int64 splits: - name: train num_bytes: 104623465 num_examples: 484 download_size: 14227248 dataset_size: 104623465 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/nlpguy__Mistral-NeMo-Minitron-Upscale-v2-details

open-llm-leaderboard

--- pretty_name: Evaluation run of nlpguy/Mistral-NeMo-Minitron-Upscale-v2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [nlpguy/Mistral-NeMo-Minitron-Upscale-v2](https://huggingface.co/nlpguy/Mistral-NeMo-Minitron-Upscale-v2)\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/nlpguy__Mistral-NeMo-Minitron-Upscale-v2-details\"\ ,\n\tname=\"nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-09-29T18-45-43.672061](https://huggingface.co/datasets/open-llm-leaderboard/nlpguy__Mistral-NeMo-Minitron-Upscale-v2-details/blob/main/nlpguy__Mistral-NeMo-Minitron-Upscale-v2/results_2024-09-29T18-45-43.672061.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\": 0.005287009063444109,\n \"exact_match_stderr,none\"\ : 0.001988736669312895,\n \"prompt_level_loose_acc,none\": 0.11829944547134935,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.013898087176706587,\n \ \ \"acc_norm,none\": 0.37255156310805554,\n \"acc_norm_stderr,none\"\ : 0.005279122195828486,\n \"inst_level_strict_acc,none\": 0.21103117505995203,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.10351201478743069,\n \"prompt_level_strict_acc_stderr,none\": 0.01310903544648431,\n\ \ \"inst_level_loose_acc,none\": 0.22422062350119903,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"acc,none\": 0.1926529255319149,\n\ \ \"acc_stderr,none\": 0.0035955644575309613,\n \"alias\"\ : \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.3922930046866863,\n \"acc_norm_stderr,none\": 0.006134934599176392,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"acc_norm,none\": 0.64,\n \"acc_norm_stderr,none\"\ : 0.030418764025174985,\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\"\ : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\": 0.508,\n\ \ \"acc_norm_stderr,none\": 0.031682156431413803,\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\"\ : 0.03145724452223564,\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ \n },\n \"leaderboard_bbh_geometric_shapes\": {\n \"acc_norm,none\"\ : 0.28,\n \"acc_norm_stderr,none\": 0.028454148277832318,\n \ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"\ leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\": 0.592,\n \ \ \"acc_norm_stderr,none\": 0.03114520984654851,\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.232,\n \"acc_norm_stderr,none\"\ : 0.026750070374865164,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"acc_norm,none\": 0.156,\n \"acc_norm_stderr,none\": 0.022995023034068748,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"acc_norm,none\": 0.404,\n \"acc_norm_stderr,none\": 0.031096688184825295,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223564,\n\ \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.42,\n\ \ \"acc_norm_stderr,none\": 0.03127799950463661,\n \"alias\"\ : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.364,\n \"acc_norm_stderr,none\"\ : 0.03049155522040556,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ acc_norm,none\": 0.410958904109589,\n \"acc_norm_stderr,none\": 0.04085902451640227,\n\ \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.272,\n \"acc_norm_stderr,none\": 0.02820008829630999,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ : 0.308,\n \"acc_norm_stderr,none\": 0.029256928606501864,\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.22,\n \"acc_norm_stderr,none\"\ : 0.026251792824605845,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ : 0.47752808988764045,\n \"acc_norm_stderr,none\": 0.03754432508487193,\n\ \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.624,\n \"acc_norm_stderr,none\"\ : 0.03069633626739458,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ acc_norm,none\": 0.26,\n \"acc_norm_stderr,none\": 0.02779731575264431,\n\ \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.204,\n \"acc_norm_stderr,none\": 0.025537121574548148,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"acc_norm,none\": 0.16,\n \"acc_norm_stderr,none\"\ : 0.023232714782060654,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"acc_norm,none\": 0.332,\n \"acc_norm_stderr,none\"\ : 0.029844039047465902,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ : {\n \"acc_norm,none\": 0.27348993288590606,\n \"acc_norm_stderr,none\"\ : 0.012921553908220343,\n \"alias\": \" - leaderboard_gpqa\"\n \ \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.2828282828282828,\n\ \ \"acc_norm_stderr,none\": 0.032087795587867514,\n \"alias\"\ : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"acc_norm,none\": 0.2838827838827839,\n \"acc_norm_stderr,none\"\ : 0.019313604507663257,\n \"alias\": \" - leaderboard_gpqa_extended\"\ \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ : 0.25669642857142855,\n \"acc_norm_stderr,none\": 0.0206604254917247,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.10351201478743069,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.01310903544648431,\n \ \ \"inst_level_strict_acc,none\": 0.21103117505995203,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.11829944547134935,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.013898087176706587,\n \ \ \"inst_level_loose_acc,none\": 0.22422062350119903,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.005287009063444109,\n\ \ \"exact_match_stderr,none\": 0.001988736669312895,\n \"\ alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.006514657980456026,\n \"exact_match_stderr,none\"\ : 0.004599025618546257,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ \ \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ \ \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\n \ \ },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.007575757575757576,\n \"exact_match_stderr,none\": 0.007575757575757562,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ \ - leaderboard_math_intermediate_algebra_hard\"\n },\n \"leaderboard_math_num_theory_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0,\n \"alias\": \" - leaderboard_math_num_theory_hard\"\n \ \ },\n \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ : 0.02072538860103627,\n \"exact_match_stderr,none\": 0.010281417011909055,\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\": 0.1926529255319149,\n \"acc_stderr,none\"\ : 0.0035955644575309613,\n \"alias\": \" - leaderboard_mmlu_pro\"\n \ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.3783068783068783,\n\ \ \"acc_norm_stderr,none\": 0.01723804003480842,\n \"alias\"\ : \" - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\"\ : {\n \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\"\ : 0.031636489531544396,\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ \n },\n \"leaderboard_musr_object_placements\": {\n \"\ acc_norm,none\": 0.28125,\n \"acc_norm_stderr,none\": 0.028155620586096754,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n\ \ \"leaderboard_musr_team_allocation\": {\n \"acc_norm,none\"\ : 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475373,\n \ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n },\n \ \ \"leaderboard\": {\n \"exact_match,none\": 0.005287009063444109,\n \ \ \"exact_match_stderr,none\": 0.001988736669312895,\n \"prompt_level_loose_acc,none\"\ : 0.11829944547134935,\n \"prompt_level_loose_acc_stderr,none\": 0.013898087176706587,\n\ \ \"acc_norm,none\": 0.37255156310805554,\n \"acc_norm_stderr,none\"\ : 0.005279122195828486,\n \"inst_level_strict_acc,none\": 0.21103117505995203,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.10351201478743069,\n \"prompt_level_strict_acc_stderr,none\": 0.01310903544648431,\n\ \ \"inst_level_loose_acc,none\": 0.22422062350119903,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"acc,none\": 0.1926529255319149,\n \"acc_stderr,none\"\ : 0.0035955644575309613,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.3922930046866863,\n \"acc_norm_stderr,none\"\ : 0.006134934599176392,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\": 0.64,\n\ \ \"acc_norm_stderr,none\": 0.030418764025174985,\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\"\ : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n \"alias\"\ : \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"acc_norm,none\": 0.508,\n \"acc_norm_stderr,none\": 0.031682156431413803,\n\ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223564,\n\ \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.28,\n \"acc_norm_stderr,none\": 0.028454148277832318,\n\ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ : {\n \"acc_norm,none\": 0.592,\n \"acc_norm_stderr,none\": 0.03114520984654851,\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.232,\n \"acc_norm_stderr,none\": 0.026750070374865164,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ : 0.156,\n \"acc_norm_stderr,none\": 0.022995023034068748,\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"acc_norm,none\": 0.404,\n \"acc_norm_stderr,none\": 0.031096688184825295,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ : 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223564,\n \"alias\"\ : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ : {\n \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661,\n\ \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.364,\n \"acc_norm_stderr,none\": 0.03049155522040556,\n\ \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ : {\n \"acc_norm,none\": 0.410958904109589,\n \"acc_norm_stderr,none\"\ : 0.04085902451640227,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.272,\n \"acc_norm_stderr,none\": 0.02820008829630999,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.308,\n\ \ \"acc_norm_stderr,none\": 0.029256928606501864,\n \"alias\": \"\ \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.22,\n \"acc_norm_stderr,none\": 0.026251792824605845,\n\ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.47752808988764045,\n\ \ \"acc_norm_stderr,none\": 0.03754432508487193,\n \"alias\": \" \ \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.624,\n \"acc_norm_stderr,none\": 0.03069633626739458,\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.26,\n \ \ \"acc_norm_stderr,none\": 0.02779731575264431,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.204,\n \"acc_norm_stderr,none\": 0.025537121574548148,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"acc_norm,none\": 0.16,\n \"acc_norm_stderr,none\": 0.023232714782060654,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"acc_norm,none\": 0.332,\n \"acc_norm_stderr,none\": 0.029844039047465902,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.488,\n\ \ \"acc_norm_stderr,none\": 0.03167708558254709,\n \"alias\": \" \ \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ \ \"acc_norm,none\": 0.27348993288590606,\n \"acc_norm_stderr,none\": 0.012921553908220343,\n\ \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ : {\n \"acc_norm,none\": 0.2828282828282828,\n \"acc_norm_stderr,none\"\ : 0.032087795587867514,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.2838827838827839,\n\ \ \"acc_norm_stderr,none\": 0.019313604507663257,\n \"alias\": \"\ \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ \ \"acc_norm,none\": 0.25669642857142855,\n \"acc_norm_stderr,none\"\ : 0.0206604254917247,\n \"alias\": \" - leaderboard_gpqa_main\"\n },\n\ \ \"leaderboard_ifeval\": {\n \"prompt_level_strict_acc,none\": 0.10351201478743069,\n\ \ \"prompt_level_strict_acc_stderr,none\": 0.01310903544648431,\n \ \ \"inst_level_strict_acc,none\": 0.21103117505995203,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.11829944547134935,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.013898087176706587,\n \"inst_level_loose_acc,none\"\ : 0.22422062350119903,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.005287009063444109,\n \"exact_match_stderr,none\"\ : 0.001988736669312895,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.006514657980456026,\n\ \ \"exact_match_stderr,none\": 0.004599025618546257,\n \"alias\":\ \ \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ \ \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\n },\n \ \ \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\": 0.007575757575757576,\n\ \ \"exact_match_stderr,none\": 0.007575757575757562,\n \"alias\":\ \ \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n },\n\ \ \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\": 0.0,\n\ \ \"exact_match_stderr,none\": 0.0,\n \"alias\": \" - leaderboard_math_num_theory_hard\"\ \n },\n \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ : 0.02072538860103627,\n \"exact_match_stderr,none\": 0.010281417011909055,\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\": 0.1926529255319149,\n \"acc_stderr,none\": 0.0035955644575309613,\n\ \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.3783068783068783,\n \"acc_norm_stderr,none\"\ : 0.01723804003480842,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.528,\n\ \ \"acc_norm_stderr,none\": 0.031636489531544396,\n \"alias\": \"\ \ - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ : {\n \"acc_norm,none\": 0.28125,\n \"acc_norm_stderr,none\": 0.028155620586096754,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.328,\n \"acc_norm_stderr,none\": 0.029752391824475373,\n\ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" repo_url: https://huggingface.co/nlpguy/Mistral-NeMo-Minitron-Upscale-v2 leaderboard_url: '' point_of_contact: '' configs: - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_boolean_expressions data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_causal_judgement data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_date_understanding data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_formal_fallacies data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_geometric_shapes data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_hyperbaton data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_movie_recommendation data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_navigate data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_object_counting data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_ruin_names data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_snarks data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_sports_understanding data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_temporal_sequences data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_web_of_lies data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_gpqa_diamond data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_gpqa_extended data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_gpqa_main data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_gpqa_main_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_ifeval data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_ifeval_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_math_algebra_hard data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_math_geometry_hard data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_math_num_theory_hard data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_math_prealgebra_hard data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_math_precalculus_hard data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_mmlu_pro data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_musr_murder_mysteries data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_musr_object_placements data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T18-45-43.672061.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_musr_team_allocation data_files: - split: 2024_09_29T18_45_43.672061 path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T18-45-43.672061.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T18-45-43.672061.jsonl' --- # Dataset Card for Evaluation run of nlpguy/Mistral-NeMo-Minitron-Upscale-v2 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [nlpguy/Mistral-NeMo-Minitron-Upscale-v2](https://huggingface.co/nlpguy/Mistral-NeMo-Minitron-Upscale-v2) 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/nlpguy__Mistral-NeMo-Minitron-Upscale-v2-details", name="nlpguy__Mistral-NeMo-Minitron-Upscale-v2__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-09-29T18-45-43.672061](https://huggingface.co/datasets/open-llm-leaderboard/nlpguy__Mistral-NeMo-Minitron-Upscale-v2-details/blob/main/nlpguy__Mistral-NeMo-Minitron-Upscale-v2/results_2024-09-29T18-45-43.672061.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": 0.005287009063444109, "exact_match_stderr,none": 0.001988736669312895, "prompt_level_loose_acc,none": 0.11829944547134935, "prompt_level_loose_acc_stderr,none": 0.013898087176706587, "acc_norm,none": 0.37255156310805554, "acc_norm_stderr,none": 0.005279122195828486, "inst_level_strict_acc,none": 0.21103117505995203, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.10351201478743069, "prompt_level_strict_acc_stderr,none": 0.01310903544648431, "inst_level_loose_acc,none": 0.22422062350119903, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.1926529255319149, "acc_stderr,none": 0.0035955644575309613, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.3922930046866863, "acc_norm_stderr,none": 0.006134934599176392, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.030418764025174985, "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": 0.488, "acc_norm_stderr,none": 0.03167708558254709, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.031682156431413803, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223564, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.28, "acc_norm_stderr,none": 0.028454148277832318, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.232, "acc_norm_stderr,none": 0.026750070374865164, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.156, "acc_norm_stderr,none": 0.022995023034068748, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.404, "acc_norm_stderr,none": 0.031096688184825295, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223564, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.03049155522040556, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.410958904109589, "acc_norm_stderr,none": 0.04085902451640227, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.272, "acc_norm_stderr,none": 0.02820008829630999, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.308, "acc_norm_stderr,none": 0.029256928606501864, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.22, "acc_norm_stderr,none": 0.026251792824605845, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.47752808988764045, "acc_norm_stderr,none": 0.03754432508487193, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.624, "acc_norm_stderr,none": 0.03069633626739458, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.26, "acc_norm_stderr,none": 0.02779731575264431, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.204, "acc_norm_stderr,none": 0.025537121574548148, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.16, "acc_norm_stderr,none": 0.023232714782060654, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.332, "acc_norm_stderr,none": 0.029844039047465902, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254709, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.27348993288590606, "acc_norm_stderr,none": 0.012921553908220343, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.2828282828282828, "acc_norm_stderr,none": 0.032087795587867514, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2838827838827839, "acc_norm_stderr,none": 0.019313604507663257, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.25669642857142855, "acc_norm_stderr,none": 0.0206604254917247, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.10351201478743069, "prompt_level_strict_acc_stderr,none": 0.01310903544648431, "inst_level_strict_acc,none": 0.21103117505995203, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.11829944547134935, "prompt_level_loose_acc_stderr,none": 0.013898087176706587, "inst_level_loose_acc,none": 0.22422062350119903, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.005287009063444109, "exact_match_stderr,none": 0.001988736669312895, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.006514657980456026, "exact_match_stderr,none": 0.004599025618546257, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.007575757575757576, "exact_match_stderr,none": 0.007575757575757562, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.02072538860103627, "exact_match_stderr,none": 0.010281417011909055, "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": 0.1926529255319149, "acc_stderr,none": 0.0035955644575309613, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.3783068783068783, "acc_norm_stderr,none": 0.01723804003480842, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.28125, "acc_norm_stderr,none": 0.028155620586096754, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475373, "alias": " - leaderboard_musr_team_allocation" } }, "leaderboard": { "exact_match,none": 0.005287009063444109, "exact_match_stderr,none": 0.001988736669312895, "prompt_level_loose_acc,none": 0.11829944547134935, "prompt_level_loose_acc_stderr,none": 0.013898087176706587, "acc_norm,none": 0.37255156310805554, "acc_norm_stderr,none": 0.005279122195828486, "inst_level_strict_acc,none": 0.21103117505995203, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.10351201478743069, "prompt_level_strict_acc_stderr,none": 0.01310903544648431, "inst_level_loose_acc,none": 0.22422062350119903, "inst_level_loose_acc_stderr,none": "N/A", "acc,none": 0.1926529255319149, "acc_stderr,none": 0.0035955644575309613, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.3922930046866863, "acc_norm_stderr,none": 0.006134934599176392, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.64, "acc_norm_stderr,none": 0.030418764025174985, "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": 0.488, "acc_norm_stderr,none": 0.03167708558254709, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.508, "acc_norm_stderr,none": 0.031682156431413803, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223564, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.28, "acc_norm_stderr,none": 0.028454148277832318, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.592, "acc_norm_stderr,none": 0.03114520984654851, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.232, "acc_norm_stderr,none": 0.026750070374865164, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.156, "acc_norm_stderr,none": 0.022995023034068748, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.404, "acc_norm_stderr,none": 0.031096688184825295, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223564, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.364, "acc_norm_stderr,none": 0.03049155522040556, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.410958904109589, "acc_norm_stderr,none": 0.04085902451640227, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.272, "acc_norm_stderr,none": 0.02820008829630999, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.308, "acc_norm_stderr,none": 0.029256928606501864, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.22, "acc_norm_stderr,none": 0.026251792824605845, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.47752808988764045, "acc_norm_stderr,none": 0.03754432508487193, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.624, "acc_norm_stderr,none": 0.03069633626739458, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.26, "acc_norm_stderr,none": 0.02779731575264431, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.204, "acc_norm_stderr,none": 0.025537121574548148, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.16, "acc_norm_stderr,none": 0.023232714782060654, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.332, "acc_norm_stderr,none": 0.029844039047465902, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254709, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.27348993288590606, "acc_norm_stderr,none": 0.012921553908220343, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.2828282828282828, "acc_norm_stderr,none": 0.032087795587867514, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2838827838827839, "acc_norm_stderr,none": 0.019313604507663257, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.25669642857142855, "acc_norm_stderr,none": 0.0206604254917247, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.10351201478743069, "prompt_level_strict_acc_stderr,none": 0.01310903544648431, "inst_level_strict_acc,none": 0.21103117505995203, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.11829944547134935, "prompt_level_loose_acc_stderr,none": 0.013898087176706587, "inst_level_loose_acc,none": 0.22422062350119903, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.005287009063444109, "exact_match_stderr,none": 0.001988736669312895, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.006514657980456026, "exact_match_stderr,none": 0.004599025618546257, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.007575757575757576, "exact_match_stderr,none": 0.007575757575757562, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.02072538860103627, "exact_match_stderr,none": 0.010281417011909055, "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": 0.1926529255319149, "acc_stderr,none": 0.0035955644575309613, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.3783068783068783, "acc_norm_stderr,none": 0.01723804003480842, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.28125, "acc_norm_stderr,none": 0.028155620586096754, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.328, "acc_norm_stderr,none": 0.029752391824475373, "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] - 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open-llm-leaderboard/nlpguy__Mistral-NeMo-Minitron-Upscale-v1-details

open-llm-leaderboard

--- pretty_name: Evaluation run of nlpguy/Mistral-NeMo-Minitron-Upscale-v1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [nlpguy/Mistral-NeMo-Minitron-Upscale-v1](https://huggingface.co/nlpguy/Mistral-NeMo-Minitron-Upscale-v1)\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/nlpguy__Mistral-NeMo-Minitron-Upscale-v1-details\"\ ,\n\tname=\"nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-09-29T18-46-06.825022](https://huggingface.co/datasets/open-llm-leaderboard/nlpguy__Mistral-NeMo-Minitron-Upscale-v1-details/blob/main/nlpguy__Mistral-NeMo-Minitron-Upscale-v1/results_2024-09-29T18-46-06.825022.json)\ \ (note that there might be results for other tasks in the repos if successive evals\ \ didn't cover the same tasks. You find each in the results and the \"latest\" split\ \ for each eval):\n\n```python\n{\n \"all\": {\n \"leaderboard\": {\n\ \ \"inst_level_strict_acc,none\": 0.22062350119904076,\n \"\ inst_level_strict_acc_stderr,none\": \"N/A\",\n \"inst_level_loose_acc,none\"\ : 0.2410071942446043,\n \"inst_level_loose_acc_stderr,none\": \"N/A\"\ ,\n \"exact_match,none\": 0.006797583081570997,\n \"exact_match_stderr,none\"\ : 0.0022507420201403976,\n \"acc,none\": 0.2537400265957447,\n \ \ \"acc_stderr,none\": 0.00396724207519909,\n \"acc_norm,none\"\ : 0.4145803606174601,\n \"acc_norm_stderr,none\": 0.005253217772137442,\n\ \ \"prompt_level_strict_acc,none\": 0.10905730129390019,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.013413909746312052,\n \"\ prompt_level_loose_acc,none\": 0.12754158964879853,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.014354940597336765,\n \"alias\": \"leaderboard\"\n },\n \ \ \"leaderboard_bbh\": {\n \"acc_norm,none\": 0.44697101197708733,\n\ \ \"acc_norm_stderr,none\": 0.006081313868196425,\n \"alias\"\ : \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"acc_norm,none\": 0.748,\n \"acc_norm_stderr,none\"\ : 0.02751385193303135,\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\"\ : 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253237,\n \ \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"\ leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\": 0.648,\n\ \ \"acc_norm_stderr,none\": 0.03026628805735994,\n \"alias\"\ : \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\"\ : 0.03167708558254708,\n \"alias\": \" - leaderboard_bbh_formal_fallacies\"\ \n },\n \"leaderboard_bbh_geometric_shapes\": {\n \"acc_norm,none\"\ : 0.396,\n \"acc_norm_stderr,none\": 0.03099319785457785,\n \ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"\ leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\": 0.536,\n \ \ \"acc_norm_stderr,none\": 0.03160397514522374,\n \"alias\": \"\ \ - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\"\ : 0.029561724955241033,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"acc_norm,none\": 0.244,\n \"acc_norm_stderr,none\": 0.027217995464553175,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ acc_norm,none\": 0.848,\n \"acc_norm_stderr,none\": 0.02275202449176547,\n\ \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.42,\n\ \ \"acc_norm_stderr,none\": 0.03127799950463661,\n \"alias\"\ : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.388,\n \"acc_norm_stderr,none\"\ : 0.030881038748993915,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ acc_norm,none\": 0.3219178082191781,\n \"acc_norm_stderr,none\": 0.03879981629627135,\n\ \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.356,\n \"acc_norm_stderr,none\": 0.03034368065715321,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ : 0.392,\n \"acc_norm_stderr,none\": 0.0309382076204012,\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.376,\n \"acc_norm_stderr,none\"\ : 0.030696336267394583,\n \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\ \n },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\"\ : 0.550561797752809,\n \"acc_norm_stderr,none\": 0.037389649660569645,\n\ \ \"alias\": \" - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.764,\n \"acc_norm_stderr,none\"\ : 0.026909337594953852,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ acc_norm,none\": 0.168,\n \"acc_norm_stderr,none\": 0.023692813205492585,\n\ \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.14,\n \"acc_norm_stderr,none\": 0.021989409645240262,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"acc_norm,none\": 0.152,\n \"acc_norm_stderr,none\"\ : 0.022752024491765464,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"acc_norm,none\": 0.332,\n \"acc_norm_stderr,none\"\ : 0.029844039047465902,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ : 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254709,\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ : {\n \"acc_norm,none\": 0.2802013422818792,\n \"acc_norm_stderr,none\"\ : 0.013016817161560583,\n \"alias\": \" - leaderboard_gpqa\"\n \ \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.29797979797979796,\n\ \ \"acc_norm_stderr,none\": 0.032586303838365555,\n \"alias\"\ : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"acc_norm,none\": 0.2893772893772894,\n \"acc_norm_stderr,none\"\ : 0.01942466387226182,\n \"alias\": \" - leaderboard_gpqa_extended\"\ \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ : 0.2611607142857143,\n \"acc_norm_stderr,none\": 0.020776632223035954,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.10905730129390019,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.013413909746312052,\n \ \ \"inst_level_strict_acc,none\": 0.22062350119904076,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.12754158964879853,\n\ \ \"prompt_level_loose_acc_stderr,none\": 0.014354940597336763,\n \ \ \"inst_level_loose_acc,none\": 0.24100719424460432,\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\": 0.0022507420201403976,\n \"\ alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\"\ : 0.0,\n \"alias\": \" - leaderboard_math_algebra_hard\"\n },\n\ \ \"leaderboard_math_counting_and_prob_hard\": {\n \"exact_match,none\"\ : 0.0,\n \"exact_match_stderr,none\": 0.0,\n \"alias\": \"\ \ - leaderboard_math_counting_and_prob_hard\"\n },\n \"leaderboard_math_geometry_hard\"\ : {\n \"exact_match,none\": 0.007575757575757576,\n \"exact_match_stderr,none\"\ : 0.007575757575757562,\n \"alias\": \" - leaderboard_math_geometry_hard\"\ \n },\n \"leaderboard_math_intermediate_algebra_hard\": {\n \ \ \"exact_match,none\": 0.0035714285714285713,\n \"exact_match_stderr,none\"\ : 0.0035714285714285657,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.012987012987012988,\n \"exact_match_stderr,none\": 0.009153145279150208,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ : 0.025906735751295335,\n \"exact_match_stderr,none\": 0.0114645233569532,\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\": 0.2537400265957447,\n \"acc_stderr,none\"\ : 0.00396724207519909,\n \"alias\": \" - leaderboard_mmlu_pro\"\n \ \ },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.37962962962962965,\n\ \ \"acc_norm_stderr,none\": 0.01734042434129184,\n \"alias\"\ : \" - leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\"\ : {\n \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\"\ : 0.03167708558254708,\n \"alias\": \" - leaderboard_musr_murder_mysteries\"\ \n },\n \"leaderboard_musr_object_placements\": {\n \"\ acc_norm,none\": 0.2890625,\n \"acc_norm_stderr,none\": 0.02838843806999465,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n\ \ \"leaderboard_musr_team_allocation\": {\n \"acc_norm,none\"\ : 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457907,\n \ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n },\n \ \ \"leaderboard\": {\n \"inst_level_strict_acc,none\": 0.22062350119904076,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"inst_level_loose_acc,none\"\ : 0.2410071942446043,\n \"inst_level_loose_acc_stderr,none\": \"N/A\",\n\ \ \"exact_match,none\": 0.006797583081570997,\n \"exact_match_stderr,none\"\ : 0.0022507420201403976,\n \"acc,none\": 0.2537400265957447,\n \"\ acc_stderr,none\": 0.00396724207519909,\n \"acc_norm,none\": 0.4145803606174601,\n\ \ \"acc_norm_stderr,none\": 0.005253217772137442,\n \"prompt_level_strict_acc,none\"\ : 0.10905730129390019,\n \"prompt_level_strict_acc_stderr,none\": 0.013413909746312052,\n\ \ \"prompt_level_loose_acc,none\": 0.12754158964879853,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.014354940597336765,\n \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.44697101197708733,\n \"acc_norm_stderr,none\"\ : 0.006081313868196425,\n \"alias\": \" - leaderboard_bbh\"\n },\n \ \ \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\": 0.748,\n\ \ \"acc_norm_stderr,none\": 0.02751385193303135,\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\"\ : 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253237,\n \"alias\"\ : \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.03026628805735994,\n\ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.488,\n \"acc_norm_stderr,none\": 0.03167708558254708,\n\ \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.396,\n \"acc_norm_stderr,none\": 0.03099319785457785,\n\ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ : {\n \"acc_norm,none\": 0.536,\n \"acc_norm_stderr,none\": 0.03160397514522374,\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.32,\n \"acc_norm_stderr,none\": 0.029561724955241033,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ : 0.244,\n \"acc_norm_stderr,none\": 0.027217995464553175,\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"acc_norm,none\": 0.528,\n \"acc_norm_stderr,none\": 0.031636489531544396,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ : 0.848,\n \"acc_norm_stderr,none\": 0.02275202449176547,\n \"alias\"\ : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ : {\n \"acc_norm,none\": 0.42,\n \"acc_norm_stderr,none\": 0.03127799950463661,\n\ \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.388,\n \"acc_norm_stderr,none\": 0.030881038748993915,\n\ \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ : {\n \"acc_norm,none\": 0.3219178082191781,\n \"acc_norm_stderr,none\"\ : 0.03879981629627135,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.356,\n \"acc_norm_stderr,none\": 0.03034368065715321,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.392,\n\ \ \"acc_norm_stderr,none\": 0.0309382076204012,\n \"alias\": \" -\ \ leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.376,\n \"acc_norm_stderr,none\": 0.030696336267394583,\n\ \ \"alias\": \" - leaderboard_bbh_salient_translation_error_detection\"\n\ \ },\n \"leaderboard_bbh_snarks\": {\n \"acc_norm,none\": 0.550561797752809,\n\ \ \"acc_norm_stderr,none\": 0.037389649660569645,\n \"alias\": \"\ \ - leaderboard_bbh_snarks\"\n },\n \"leaderboard_bbh_sports_understanding\"\ : {\n \"acc_norm,none\": 0.764,\n \"acc_norm_stderr,none\": 0.026909337594953852,\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.168,\n \ \ \"acc_norm_stderr,none\": 0.023692813205492585,\n \"alias\": \" -\ \ leaderboard_bbh_temporal_sequences\"\n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ : {\n \"acc_norm,none\": 0.14,\n \"acc_norm_stderr,none\": 0.021989409645240262,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"acc_norm,none\": 0.152,\n \"acc_norm_stderr,none\": 0.022752024491765464,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"acc_norm,none\": 0.332,\n \"acc_norm_stderr,none\": 0.029844039047465902,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.488,\n\ \ \"acc_norm_stderr,none\": 0.03167708558254709,\n \"alias\": \" \ \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ \ \"acc_norm,none\": 0.2802013422818792,\n \"acc_norm_stderr,none\": 0.013016817161560583,\n\ \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ : {\n \"acc_norm,none\": 0.29797979797979796,\n \"acc_norm_stderr,none\"\ : 0.032586303838365555,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.2893772893772894,\n\ \ \"acc_norm_stderr,none\": 0.01942466387226182,\n \"alias\": \" \ \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ \ \"acc_norm,none\": 0.2611607142857143,\n \"acc_norm_stderr,none\": 0.020776632223035954,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.10905730129390019,\n \"\ prompt_level_strict_acc_stderr,none\": 0.013413909746312052,\n \"inst_level_strict_acc,none\"\ : 0.22062350119904076,\n \"inst_level_strict_acc_stderr,none\": \"N/A\",\n\ \ \"prompt_level_loose_acc,none\": 0.12754158964879853,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.014354940597336763,\n \"inst_level_loose_acc,none\": 0.24100719424460432,\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\": 0.0022507420201403976,\n\ \ \"alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ \ \"alias\": \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.0,\n \"exact_match_stderr,none\": 0.0,\n\ \ \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\n },\n \ \ \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\": 0.007575757575757576,\n\ \ \"exact_match_stderr,none\": 0.007575757575757562,\n \"alias\":\ \ \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"exact_match,none\": 0.0035714285714285713,\n \"exact_match_stderr,none\"\ : 0.0035714285714285657,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.012987012987012988,\n \"exact_match_stderr,none\": 0.009153145279150208,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"exact_match,none\": 0.025906735751295335,\n \"exact_match_stderr,none\"\ : 0.0114645233569532,\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\": 0.2537400265957447,\n\ \ \"acc_stderr,none\": 0.00396724207519909,\n \"alias\": \" - leaderboard_mmlu_pro\"\ \n },\n \"leaderboard_musr\": {\n \"acc_norm,none\": 0.37962962962962965,\n\ \ \"acc_norm_stderr,none\": 0.01734042434129184,\n \"alias\": \" -\ \ leaderboard_musr\"\n },\n \"leaderboard_musr_murder_mysteries\": {\n \ \ \"acc_norm,none\": 0.512,\n \"acc_norm_stderr,none\": 0.03167708558254708,\n\ \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ : {\n \"acc_norm,none\": 0.2890625,\n \"acc_norm_stderr,none\": 0.02838843806999465,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.34,\n \"acc_norm_stderr,none\": 0.030020073605457907,\n\ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" repo_url: https://huggingface.co/nlpguy/Mistral-NeMo-Minitron-Upscale-v1 leaderboard_url: '' point_of_contact: '' configs: - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_boolean_expressions data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_causal_judgement data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_date_understanding data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_formal_fallacies data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_geometric_shapes data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_hyperbaton data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_movie_recommendation data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_navigate data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_object_counting data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_ruin_names data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_snarks data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_sports_understanding data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_temporal_sequences data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_web_of_lies data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_gpqa_diamond data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_gpqa_extended data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_gpqa_main data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_gpqa_main_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_ifeval data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_ifeval_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_math_algebra_hard data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_math_geometry_hard data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_math_num_theory_hard data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_math_prealgebra_hard data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_math_precalculus_hard data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_mmlu_pro data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_musr_murder_mysteries data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_musr_object_placements data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T18-46-06.825022.jsonl' - config_name: nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_musr_team_allocation data_files: - split: 2024_09_29T18_46_06.825022 path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T18-46-06.825022.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T18-46-06.825022.jsonl' --- # Dataset Card for Evaluation run of nlpguy/Mistral-NeMo-Minitron-Upscale-v1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [nlpguy/Mistral-NeMo-Minitron-Upscale-v1](https://huggingface.co/nlpguy/Mistral-NeMo-Minitron-Upscale-v1) 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/nlpguy__Mistral-NeMo-Minitron-Upscale-v1-details", name="nlpguy__Mistral-NeMo-Minitron-Upscale-v1__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-09-29T18-46-06.825022](https://huggingface.co/datasets/open-llm-leaderboard/nlpguy__Mistral-NeMo-Minitron-Upscale-v1-details/blob/main/nlpguy__Mistral-NeMo-Minitron-Upscale-v1/results_2024-09-29T18-46-06.825022.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval): ```python { "all": { "leaderboard": { "inst_level_strict_acc,none": 0.22062350119904076, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.2410071942446043, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.006797583081570997, "exact_match_stderr,none": 0.0022507420201403976, "acc,none": 0.2537400265957447, "acc_stderr,none": 0.00396724207519909, "acc_norm,none": 0.4145803606174601, "acc_norm_stderr,none": 0.005253217772137442, "prompt_level_strict_acc,none": 0.10905730129390019, "prompt_level_strict_acc_stderr,none": 0.013413909746312052, "prompt_level_loose_acc,none": 0.12754158964879853, "prompt_level_loose_acc_stderr,none": 0.014354940597336765, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.44697101197708733, "acc_norm_stderr,none": 0.006081313868196425, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.748, "acc_norm_stderr,none": 0.02751385193303135, "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": 0.6, "acc_norm_stderr,none": 0.031046021028253237, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.03026628805735994, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254708, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.396, "acc_norm_stderr,none": 0.03099319785457785, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.03160397514522374, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955241033, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.027217995464553175, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.848, "acc_norm_stderr,none": 0.02275202449176547, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.388, "acc_norm_stderr,none": 0.030881038748993915, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.3219178082191781, "acc_norm_stderr,none": 0.03879981629627135, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.356, "acc_norm_stderr,none": 0.03034368065715321, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.392, "acc_norm_stderr,none": 0.0309382076204012, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.376, "acc_norm_stderr,none": 0.030696336267394583, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.550561797752809, "acc_norm_stderr,none": 0.037389649660569645, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.764, "acc_norm_stderr,none": 0.026909337594953852, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.168, "acc_norm_stderr,none": 0.023692813205492585, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.14, "acc_norm_stderr,none": 0.021989409645240262, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.152, "acc_norm_stderr,none": 0.022752024491765464, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.332, "acc_norm_stderr,none": 0.029844039047465902, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254709, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.2802013422818792, "acc_norm_stderr,none": 0.013016817161560583, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.29797979797979796, "acc_norm_stderr,none": 0.032586303838365555, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2893772893772894, "acc_norm_stderr,none": 0.01942466387226182, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.2611607142857143, "acc_norm_stderr,none": 0.020776632223035954, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.10905730129390019, "prompt_level_strict_acc_stderr,none": 0.013413909746312052, "inst_level_strict_acc,none": 0.22062350119904076, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.12754158964879853, "prompt_level_loose_acc_stderr,none": 0.014354940597336763, "inst_level_loose_acc,none": 0.24100719424460432, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.006797583081570997, "exact_match_stderr,none": 0.0022507420201403976, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.007575757575757576, "exact_match_stderr,none": 0.007575757575757562, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.0035714285714285713, "exact_match_stderr,none": 0.0035714285714285657, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.012987012987012988, "exact_match_stderr,none": 0.009153145279150208, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.025906735751295335, "exact_match_stderr,none": 0.0114645233569532, "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": 0.2537400265957447, "acc_stderr,none": 0.00396724207519909, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.37962962962962965, "acc_norm_stderr,none": 0.01734042434129184, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.512, "acc_norm_stderr,none": 0.03167708558254708, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.2890625, "acc_norm_stderr,none": 0.02838843806999465, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.34, "acc_norm_stderr,none": 0.030020073605457907, "alias": " - leaderboard_musr_team_allocation" } }, "leaderboard": { "inst_level_strict_acc,none": 0.22062350119904076, "inst_level_strict_acc_stderr,none": "N/A", "inst_level_loose_acc,none": 0.2410071942446043, "inst_level_loose_acc_stderr,none": "N/A", "exact_match,none": 0.006797583081570997, "exact_match_stderr,none": 0.0022507420201403976, "acc,none": 0.2537400265957447, "acc_stderr,none": 0.00396724207519909, "acc_norm,none": 0.4145803606174601, "acc_norm_stderr,none": 0.005253217772137442, "prompt_level_strict_acc,none": 0.10905730129390019, "prompt_level_strict_acc_stderr,none": 0.013413909746312052, "prompt_level_loose_acc,none": 0.12754158964879853, "prompt_level_loose_acc_stderr,none": 0.014354940597336765, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.44697101197708733, "acc_norm_stderr,none": 0.006081313868196425, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.748, "acc_norm_stderr,none": 0.02751385193303135, "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": 0.6, "acc_norm_stderr,none": 0.031046021028253237, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.03026628805735994, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254708, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.396, "acc_norm_stderr,none": 0.03099319785457785, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.536, "acc_norm_stderr,none": 0.03160397514522374, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.32, "acc_norm_stderr,none": 0.029561724955241033, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.244, "acc_norm_stderr,none": 0.027217995464553175, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.528, "acc_norm_stderr,none": 0.031636489531544396, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.848, "acc_norm_stderr,none": 0.02275202449176547, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.42, "acc_norm_stderr,none": 0.03127799950463661, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.388, "acc_norm_stderr,none": 0.030881038748993915, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.3219178082191781, "acc_norm_stderr,none": 0.03879981629627135, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.356, "acc_norm_stderr,none": 0.03034368065715321, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.392, "acc_norm_stderr,none": 0.0309382076204012, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.376, "acc_norm_stderr,none": 0.030696336267394583, "alias": " - leaderboard_bbh_salient_translation_error_detection" }, "leaderboard_bbh_snarks": { "acc_norm,none": 0.550561797752809, "acc_norm_stderr,none": 0.037389649660569645, "alias": " - leaderboard_bbh_snarks" }, "leaderboard_bbh_sports_understanding": { "acc_norm,none": 0.764, "acc_norm_stderr,none": 0.026909337594953852, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.168, "acc_norm_stderr,none": 0.023692813205492585, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.14, "acc_norm_stderr,none": 0.021989409645240262, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.152, "acc_norm_stderr,none": 0.022752024491765464, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.332, "acc_norm_stderr,none": 0.029844039047465902, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.488, "acc_norm_stderr,none": 0.03167708558254709, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.2802013422818792, "acc_norm_stderr,none": 0.013016817161560583, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.29797979797979796, "acc_norm_stderr,none": 0.032586303838365555, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2893772893772894, "acc_norm_stderr,none": 0.01942466387226182, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.2611607142857143, "acc_norm_stderr,none": 0.020776632223035954, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.10905730129390019, "prompt_level_strict_acc_stderr,none": 0.013413909746312052, "inst_level_strict_acc,none": 0.22062350119904076, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.12754158964879853, "prompt_level_loose_acc_stderr,none": 0.014354940597336763, "inst_level_loose_acc,none": 0.24100719424460432, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.006797583081570997, "exact_match_stderr,none": 0.0022507420201403976, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.0, "exact_match_stderr,none": 0.0, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.007575757575757576, "exact_match_stderr,none": 0.007575757575757562, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.0035714285714285713, "exact_match_stderr,none": 0.0035714285714285657, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.012987012987012988, "exact_match_stderr,none": 0.009153145279150208, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.025906735751295335, "exact_match_stderr,none": 0.0114645233569532, "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": 0.2537400265957447, "acc_stderr,none": 0.00396724207519909, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.37962962962962965, "acc_norm_stderr,none": 0.01734042434129184, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.512, "acc_norm_stderr,none": 0.03167708558254708, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.2890625, "acc_norm_stderr,none": 0.02838843806999465, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.34, "acc_norm_stderr,none": 0.030020073605457907, "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]

catsOfpeople/cats

catsOfpeople

--- dataset_info: features: - name: audio_path dtype: string - name: transcript dtype: string splits: - name: train num_bytes: 1512979 num_examples: 22056 download_size: 251342 dataset_size: 1512979 configs: - config_name: default data_files: - split: train path: data/train-* ---

SHASWATSINGH3101/test

SHASWATSINGH3101

--- license: cc-by-nd-4.0 ---

Artificial-AI/DATANETFREEVPN

Artificial-AI

--- license: apache-2.0 ---

ZixuanKe/trading_unsup

ZixuanKe

--- dataset_info: features: - name: text dtype: string - name: topic dtype: string - name: title dtype: string - name: llama3_input_ids sequence: int64 - name: llama3_attention_mask sequence: int64 - name: llama3_special_tokens_mask sequence: int64 - name: subset dtype: int64 splits: - name: train num_bytes: 559586682 num_examples: 2588 download_size: 77960162 dataset_size: 559586682 configs: - config_name: default data_files: - split: train path: data/train-* ---

asunsada/Football51

asunsada

--- license: apache-2.0 ---

AI-Uni-Stuttgart/Reddit-SGM

AI-Uni-Stuttgart

--- dataset_info: features: - name: index dtype: int64 - name: id dtype: string - name: subreddit dtype: string - name: year dtype: int64 - name: body_cleaned dtype: string - name: annotation1 dtype: string - name: annotation2 dtype: string - name: annotation3 dtype: string - name: vote_segments dtype: string - name: vote_counts dtype: string - name: segment dtype: string - name: count dtype: int64 - name: disagreements dtype: string - name: reason_disagreement dtype: string - name: type_socialgroup dtype: string - name: segment_belongs_to dtype: string splits: - name: train num_bytes: 14186239 num_examples: 3685 download_size: 1436394 dataset_size: 14186239 configs: - config_name: default data_files: - split: train path: data/train-* ---

netranga/2024_ai_report

netranga

--- size_categories: - n<1K tags: - created-with-pdfs-to-page-images-converter - pdf-to-image --- # Dataset Card for netranga/2024_ai_report ## Dataset Description This dataset contains images converted from PDFs using the PDFs to Page Images Converter Space. - **Number of images:** 502 - **Number of PDFs processed:** 1 - **Sample size per PDF:** 100 - **Created on:** 2024-09-29 21:44:28 ## Dataset Creation ### Source Data The images in this dataset were generated from user-uploaded PDF files. ### Processing Steps 1. PDF files were uploaded to the PDFs to Page Images Converter. 2. Each PDF was processed, converting selected pages to images. 3. The resulting images were saved and uploaded to this dataset. ## Dataset Structure The dataset consists of JPEG images, each representing a single page from the source PDFs. ### Data Fields - `images/`: A folder containing all the converted images. ### Data Splits This dataset does not have specific splits. ## Additional Information - **Contributions:** Thanks to the PDFs to Page Images Converter for creating this dataset.

open-llm-leaderboard/MaziyarPanahi__calme-2.5-qwen2-7b-details

open-llm-leaderboard

--- pretty_name: Evaluation run of MaziyarPanahi/calme-2.5-qwen2-7b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [MaziyarPanahi/calme-2.5-qwen2-7b](https://huggingface.co/MaziyarPanahi/calme-2.5-qwen2-7b)\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/MaziyarPanahi__calme-2.5-qwen2-7b-details\"\ ,\n\tname=\"MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_boolean_expressions\"\ ,\n\tsplit=\"latest\"\n)\n```\n\n## Latest results\n\nThese are the [latest results\ \ from run 2024-09-29T19-54-06.744164](https://huggingface.co/datasets/open-llm-leaderboard/MaziyarPanahi__calme-2.5-qwen2-7b-details/blob/main/MaziyarPanahi__calme-2.5-qwen2-7b/results_2024-09-29T19-54-06.744164.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,none\": 0.3681848404255319,\n \"acc_stderr,none\"\ : 0.00439720900920118,\n \"exact_match,none\": 0.20694864048338368,\n\ \ \"exact_match_stderr,none\": 0.010320240264084115,\n \"\ prompt_level_loose_acc,none\": 0.2902033271719039,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.01953085669122253,\n \"inst_level_strict_acc,none\": 0.381294964028777,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ : 0.4563497211052017,\n \"acc_norm_stderr,none\": 0.00532499454536872,\n\ \ \"inst_level_loose_acc,none\": 0.42685851318944845,\n \"\ inst_level_loose_acc_stderr,none\": \"N/A\",\n \"prompt_level_strict_acc,none\"\ : 0.2476894639556377,\n \"prompt_level_strict_acc_stderr,none\": 0.018576139285185186,\n\ \ \"alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\"\ : {\n \"acc_norm,none\": 0.4865474743968061,\n \"acc_norm_stderr,none\"\ : 0.006127359256794648,\n \"alias\": \" - leaderboard_bbh\"\n \ \ },\n \"leaderboard_bbh_boolean_expressions\": {\n \"acc_norm,none\"\ : 0.82,\n \"acc_norm_stderr,none\": 0.024346890650293523,\n \ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \ \ \"leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.6042780748663101,\n\ \ \"acc_norm_stderr,none\": 0.03585560071592546,\n \"alias\"\ : \" - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\"\ : 0.03063032594455831,\n \"alias\": \" - leaderboard_bbh_date_understanding\"\ \n },\n \"leaderboard_bbh_disambiguation_qa\": {\n \"acc_norm,none\"\ : 0.72,\n \"acc_norm_stderr,none\": 0.02845414827783232,\n \ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"\ leaderboard_bbh_formal_fallacies\": {\n \"acc_norm,none\": 0.532,\n \ \ \"acc_norm_stderr,none\": 0.031621252575725504,\n \"alias\"\ : \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\"\ : 0.029150213374159673,\n \"alias\": \" - leaderboard_bbh_geometric_shapes\"\ \n },\n \"leaderboard_bbh_hyperbaton\": {\n \"acc_norm,none\"\ : 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253244,\n \ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\"\ : 0.03158465389149899,\n \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\ \n },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \ \ \"acc_norm,none\": 0.468,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_seven_objects\"\n\ \ },\n \"leaderboard_bbh_logical_deduction_three_objects\": {\n \ \ \"acc_norm,none\": 0.652,\n \"acc_norm_stderr,none\": 0.030186568464511683,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n\ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"\ acc_norm,none\": 0.648,\n \"acc_norm_stderr,none\": 0.03026628805735993,\n\ \ \"alias\": \" - leaderboard_bbh_movie_recommendation\"\n },\n\ \ \"leaderboard_bbh_navigate\": {\n \"acc_norm,none\": 0.584,\n\ \ \"acc_norm_stderr,none\": 0.031235856237014553,\n \"alias\"\ : \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\"\ : 0.030418764025174985,\n \"alias\": \" - leaderboard_bbh_object_counting\"\ \n },\n \"leaderboard_bbh_penguins_in_a_table\": {\n \"\ acc_norm,none\": 0.5547945205479452,\n \"acc_norm_stderr,none\": 0.04127264774457449,\n\ \ \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\n },\n\ \ \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n\ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\"\ : 0.564,\n \"acc_norm_stderr,none\": 0.03142556706028129,\n \ \ \"alias\": \" - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.4,\n \"acc_norm_stderr,none\":\ \ 0.031046021028253244,\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\": 0.808,\n \"acc_norm_stderr,none\"\ : 0.024960691989171998,\n \"alias\": \" - leaderboard_bbh_sports_understanding\"\ \n },\n \"leaderboard_bbh_temporal_sequences\": {\n \"\ acc_norm,none\": 0.24,\n \"acc_norm_stderr,none\": 0.027065293652239003,\n\ \ \"alias\": \" - leaderboard_bbh_temporal_sequences\"\n },\n\ \ \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\": 0.02172334261705208,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ : {\n \"acc_norm,none\": 0.132,\n \"acc_norm_stderr,none\"\ : 0.021450980824038096,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ : {\n \"acc_norm,none\": 0.28,\n \"acc_norm_stderr,none\"\ : 0.028454148277832318,\n \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\"\ : 0.548,\n \"acc_norm_stderr,none\": 0.03153986449255662,\n \ \ \"alias\": \" - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\"\ : {\n \"acc_norm,none\": 0.3104026845637584,\n \"acc_norm_stderr,none\"\ : 0.013409389307482606,\n \"alias\": \" - leaderboard_gpqa\"\n \ \ },\n \"leaderboard_gpqa_diamond\": {\n \"acc_norm,none\": 0.3383838383838384,\n\ \ \"acc_norm_stderr,none\": 0.03371124142626303,\n \"alias\"\ : \" - leaderboard_gpqa_diamond\"\n },\n \"leaderboard_gpqa_extended\"\ : {\n \"acc_norm,none\": 0.2948717948717949,\n \"acc_norm_stderr,none\"\ : 0.01953225605335248,\n \"alias\": \" - leaderboard_gpqa_extended\"\ \n },\n \"leaderboard_gpqa_main\": {\n \"acc_norm,none\"\ : 0.3169642857142857,\n \"acc_norm_stderr,none\": 0.022007621584824805,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.2476894639556377,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.018576139285185186,\n \ \ \"inst_level_strict_acc,none\": 0.381294964028777,\n \"inst_level_strict_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_loose_acc,none\": 0.2902033271719039,\n \ \ \"prompt_level_loose_acc_stderr,none\": 0.01953085669122253,\n \ \ \"inst_level_loose_acc,none\": 0.42685851318944845,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \ \ \"leaderboard_math_hard\": {\n \"exact_match,none\": 0.20694864048338368,\n\ \ \"exact_match_stderr,none\": 0.010320240264084115,\n \"\ alias\": \" - leaderboard_math_hard\"\n },\n \"leaderboard_math_algebra_hard\"\ : {\n \"exact_match,none\": 0.4201954397394137,\n \"exact_match_stderr,none\"\ : 0.028216670555899662,\n \"alias\": \" - leaderboard_math_algebra_hard\"\ \n },\n \"leaderboard_math_counting_and_prob_hard\": {\n \ \ \"exact_match,none\": 0.13821138211382114,\n \"exact_match_stderr,none\"\ : 0.03124585165489032,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.09090909090909091,\n \"exact_match_stderr,none\": 0.02511722563616079,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \ \ \"leaderboard_math_intermediate_algebra_hard\": {\n \"exact_match,none\"\ : 0.04285714285714286,\n \"exact_match_stderr,none\": 0.012125450612513616,\n\ \ \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\n \ \ },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.18181818181818182,\n \"exact_match_stderr,none\": 0.03118156093500157,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \ \ \"leaderboard_math_prealgebra_hard\": {\n \"exact_match,none\"\ : 0.35751295336787564,\n \"exact_match_stderr,none\": 0.03458816042181005,\n\ \ \"alias\": \" - leaderboard_math_prealgebra_hard\"\n },\n \ \ \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.05185185185185185,\n \"exact_match_stderr,none\": 0.019154368449050517,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n\ \ \"leaderboard_mmlu_pro\": {\n \"acc,none\": 0.3681848404255319,\n\ \ \"acc_stderr,none\": 0.00439720900920118,\n \"alias\": \"\ \ - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\": {\n \ \ \"acc_norm,none\": 0.45634920634920634,\n \"acc_norm_stderr,none\"\ : 0.017922847958440576,\n \"alias\": \" - leaderboard_musr\"\n \ \ },\n \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\"\ : 0.56,\n \"acc_norm_stderr,none\": 0.03145724452223564,\n \ \ \"alias\": \" - leaderboard_musr_murder_mysteries\"\n },\n \"\ leaderboard_musr_object_placements\": {\n \"acc_norm,none\": 0.44140625,\n\ \ \"acc_norm_stderr,none\": 0.031095474260005376,\n \"alias\"\ : \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\"\ : 0.030562070620993167,\n \"alias\": \" - leaderboard_musr_team_allocation\"\ \n }\n },\n \"leaderboard\": {\n \"acc,none\": 0.3681848404255319,\n\ \ \"acc_stderr,none\": 0.00439720900920118,\n \"exact_match,none\"\ : 0.20694864048338368,\n \"exact_match_stderr,none\": 0.010320240264084115,\n\ \ \"prompt_level_loose_acc,none\": 0.2902033271719039,\n \"prompt_level_loose_acc_stderr,none\"\ : 0.01953085669122253,\n \"inst_level_strict_acc,none\": 0.381294964028777,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"acc_norm,none\"\ : 0.4563497211052017,\n \"acc_norm_stderr,none\": 0.00532499454536872,\n\ \ \"inst_level_loose_acc,none\": 0.42685851318944845,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"prompt_level_strict_acc,none\": 0.2476894639556377,\n \ \ \"prompt_level_strict_acc_stderr,none\": 0.018576139285185186,\n \"\ alias\": \"leaderboard\"\n },\n \"leaderboard_bbh\": {\n \"acc_norm,none\"\ : 0.4865474743968061,\n \"acc_norm_stderr,none\": 0.006127359256794648,\n\ \ \"alias\": \" - leaderboard_bbh\"\n },\n \"leaderboard_bbh_boolean_expressions\"\ : {\n \"acc_norm,none\": 0.82,\n \"acc_norm_stderr,none\": 0.024346890650293523,\n\ \ \"alias\": \" - leaderboard_bbh_boolean_expressions\"\n },\n \"\ leaderboard_bbh_causal_judgement\": {\n \"acc_norm,none\": 0.6042780748663101,\n\ \ \"acc_norm_stderr,none\": 0.03585560071592546,\n \"alias\": \" \ \ - leaderboard_bbh_causal_judgement\"\n },\n \"leaderboard_bbh_date_understanding\"\ : {\n \"acc_norm,none\": 0.372,\n \"acc_norm_stderr,none\": 0.03063032594455831,\n\ \ \"alias\": \" - leaderboard_bbh_date_understanding\"\n },\n \"leaderboard_bbh_disambiguation_qa\"\ : {\n \"acc_norm,none\": 0.72,\n \"acc_norm_stderr,none\": 0.02845414827783232,\n\ \ \"alias\": \" - leaderboard_bbh_disambiguation_qa\"\n },\n \"leaderboard_bbh_formal_fallacies\"\ : {\n \"acc_norm,none\": 0.532,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n\ \ \"alias\": \" - leaderboard_bbh_formal_fallacies\"\n },\n \"leaderboard_bbh_geometric_shapes\"\ : {\n \"acc_norm,none\": 0.304,\n \"acc_norm_stderr,none\": 0.029150213374159673,\n\ \ \"alias\": \" - leaderboard_bbh_geometric_shapes\"\n },\n \"leaderboard_bbh_hyperbaton\"\ : {\n \"acc_norm,none\": 0.6,\n \"acc_norm_stderr,none\": 0.031046021028253244,\n\ \ \"alias\": \" - leaderboard_bbh_hyperbaton\"\n },\n \"leaderboard_bbh_logical_deduction_five_objects\"\ : {\n \"acc_norm,none\": 0.46,\n \"acc_norm_stderr,none\": 0.03158465389149899,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_five_objects\"\n \ \ },\n \"leaderboard_bbh_logical_deduction_seven_objects\": {\n \"acc_norm,none\"\ : 0.468,\n \"acc_norm_stderr,none\": 0.031621252575725504,\n \"alias\"\ : \" - leaderboard_bbh_logical_deduction_seven_objects\"\n },\n \"leaderboard_bbh_logical_deduction_three_objects\"\ : {\n \"acc_norm,none\": 0.652,\n \"acc_norm_stderr,none\": 0.030186568464511683,\n\ \ \"alias\": \" - leaderboard_bbh_logical_deduction_three_objects\"\n \ \ },\n \"leaderboard_bbh_movie_recommendation\": {\n \"acc_norm,none\"\ : 0.648,\n \"acc_norm_stderr,none\": 0.03026628805735993,\n \"alias\"\ : \" - leaderboard_bbh_movie_recommendation\"\n },\n \"leaderboard_bbh_navigate\"\ : {\n \"acc_norm,none\": 0.584,\n \"acc_norm_stderr,none\": 0.031235856237014553,\n\ \ \"alias\": \" - leaderboard_bbh_navigate\"\n },\n \"leaderboard_bbh_object_counting\"\ : {\n \"acc_norm,none\": 0.36,\n \"acc_norm_stderr,none\": 0.030418764025174985,\n\ \ \"alias\": \" - leaderboard_bbh_object_counting\"\n },\n \"leaderboard_bbh_penguins_in_a_table\"\ : {\n \"acc_norm,none\": 0.5547945205479452,\n \"acc_norm_stderr,none\"\ : 0.04127264774457449,\n \"alias\": \" - leaderboard_bbh_penguins_in_a_table\"\ \n },\n \"leaderboard_bbh_reasoning_about_colored_objects\": {\n \"\ acc_norm,none\": 0.48,\n \"acc_norm_stderr,none\": 0.031660853408495185,\n\ \ \"alias\": \" - leaderboard_bbh_reasoning_about_colored_objects\"\n \ \ },\n \"leaderboard_bbh_ruin_names\": {\n \"acc_norm,none\": 0.564,\n\ \ \"acc_norm_stderr,none\": 0.03142556706028129,\n \"alias\": \" \ \ - leaderboard_bbh_ruin_names\"\n },\n \"leaderboard_bbh_salient_translation_error_detection\"\ : {\n \"acc_norm,none\": 0.4,\n \"acc_norm_stderr,none\": 0.031046021028253244,\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\": 0.808,\n \"acc_norm_stderr,none\": 0.024960691989171998,\n\ \ \"alias\": \" - leaderboard_bbh_sports_understanding\"\n },\n \"\ leaderboard_bbh_temporal_sequences\": {\n \"acc_norm,none\": 0.24,\n \ \ \"acc_norm_stderr,none\": 0.027065293652239003,\n \"alias\": \" - leaderboard_bbh_temporal_sequences\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_five_objects\": {\n \ \ \"acc_norm,none\": 0.136,\n \"acc_norm_stderr,none\": 0.02172334261705208,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_five_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_seven_objects\": {\n \ \ \"acc_norm,none\": 0.132,\n \"acc_norm_stderr,none\": 0.021450980824038096,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_seven_objects\"\ \n },\n \"leaderboard_bbh_tracking_shuffled_objects_three_objects\": {\n \ \ \"acc_norm,none\": 0.28,\n \"acc_norm_stderr,none\": 0.028454148277832318,\n\ \ \"alias\": \" - leaderboard_bbh_tracking_shuffled_objects_three_objects\"\ \n },\n \"leaderboard_bbh_web_of_lies\": {\n \"acc_norm,none\": 0.548,\n\ \ \"acc_norm_stderr,none\": 0.03153986449255662,\n \"alias\": \" \ \ - leaderboard_bbh_web_of_lies\"\n },\n \"leaderboard_gpqa\": {\n \ \ \"acc_norm,none\": 0.3104026845637584,\n \"acc_norm_stderr,none\": 0.013409389307482606,\n\ \ \"alias\": \" - leaderboard_gpqa\"\n },\n \"leaderboard_gpqa_diamond\"\ : {\n \"acc_norm,none\": 0.3383838383838384,\n \"acc_norm_stderr,none\"\ : 0.03371124142626303,\n \"alias\": \" - leaderboard_gpqa_diamond\"\n \ \ },\n \"leaderboard_gpqa_extended\": {\n \"acc_norm,none\": 0.2948717948717949,\n\ \ \"acc_norm_stderr,none\": 0.01953225605335248,\n \"alias\": \" \ \ - leaderboard_gpqa_extended\"\n },\n \"leaderboard_gpqa_main\": {\n \ \ \"acc_norm,none\": 0.3169642857142857,\n \"acc_norm_stderr,none\": 0.022007621584824805,\n\ \ \"alias\": \" - leaderboard_gpqa_main\"\n },\n \"leaderboard_ifeval\"\ : {\n \"prompt_level_strict_acc,none\": 0.2476894639556377,\n \"prompt_level_strict_acc_stderr,none\"\ : 0.018576139285185186,\n \"inst_level_strict_acc,none\": 0.381294964028777,\n\ \ \"inst_level_strict_acc_stderr,none\": \"N/A\",\n \"prompt_level_loose_acc,none\"\ : 0.2902033271719039,\n \"prompt_level_loose_acc_stderr,none\": 0.01953085669122253,\n\ \ \"inst_level_loose_acc,none\": 0.42685851318944845,\n \"inst_level_loose_acc_stderr,none\"\ : \"N/A\",\n \"alias\": \" - leaderboard_ifeval\"\n },\n \"leaderboard_math_hard\"\ : {\n \"exact_match,none\": 0.20694864048338368,\n \"exact_match_stderr,none\"\ : 0.010320240264084115,\n \"alias\": \" - leaderboard_math_hard\"\n },\n\ \ \"leaderboard_math_algebra_hard\": {\n \"exact_match,none\": 0.4201954397394137,\n\ \ \"exact_match_stderr,none\": 0.028216670555899662,\n \"alias\":\ \ \" - leaderboard_math_algebra_hard\"\n },\n \"leaderboard_math_counting_and_prob_hard\"\ : {\n \"exact_match,none\": 0.13821138211382114,\n \"exact_match_stderr,none\"\ : 0.03124585165489032,\n \"alias\": \" - leaderboard_math_counting_and_prob_hard\"\ \n },\n \"leaderboard_math_geometry_hard\": {\n \"exact_match,none\"\ : 0.09090909090909091,\n \"exact_match_stderr,none\": 0.02511722563616079,\n\ \ \"alias\": \" - leaderboard_math_geometry_hard\"\n },\n \"leaderboard_math_intermediate_algebra_hard\"\ : {\n \"exact_match,none\": 0.04285714285714286,\n \"exact_match_stderr,none\"\ : 0.012125450612513616,\n \"alias\": \" - leaderboard_math_intermediate_algebra_hard\"\ \n },\n \"leaderboard_math_num_theory_hard\": {\n \"exact_match,none\"\ : 0.18181818181818182,\n \"exact_match_stderr,none\": 0.03118156093500157,\n\ \ \"alias\": \" - leaderboard_math_num_theory_hard\"\n },\n \"leaderboard_math_prealgebra_hard\"\ : {\n \"exact_match,none\": 0.35751295336787564,\n \"exact_match_stderr,none\"\ : 0.03458816042181005,\n \"alias\": \" - leaderboard_math_prealgebra_hard\"\ \n },\n \"leaderboard_math_precalculus_hard\": {\n \"exact_match,none\"\ : 0.05185185185185185,\n \"exact_match_stderr,none\": 0.019154368449050517,\n\ \ \"alias\": \" - leaderboard_math_precalculus_hard\"\n },\n \"leaderboard_mmlu_pro\"\ : {\n \"acc,none\": 0.3681848404255319,\n \"acc_stderr,none\": 0.00439720900920118,\n\ \ \"alias\": \" - leaderboard_mmlu_pro\"\n },\n \"leaderboard_musr\"\ : {\n \"acc_norm,none\": 0.45634920634920634,\n \"acc_norm_stderr,none\"\ : 0.017922847958440576,\n \"alias\": \" - leaderboard_musr\"\n },\n \ \ \"leaderboard_musr_murder_mysteries\": {\n \"acc_norm,none\": 0.56,\n\ \ \"acc_norm_stderr,none\": 0.03145724452223564,\n \"alias\": \" \ \ - leaderboard_musr_murder_mysteries\"\n },\n \"leaderboard_musr_object_placements\"\ : {\n \"acc_norm,none\": 0.44140625,\n \"acc_norm_stderr,none\": 0.031095474260005376,\n\ \ \"alias\": \" - leaderboard_musr_object_placements\"\n },\n \"leaderboard_musr_team_allocation\"\ : {\n \"acc_norm,none\": 0.368,\n \"acc_norm_stderr,none\": 0.030562070620993167,\n\ \ \"alias\": \" - leaderboard_musr_team_allocation\"\n }\n}\n```" repo_url: https://huggingface.co/MaziyarPanahi/calme-2.5-qwen2-7b leaderboard_url: '' point_of_contact: '' configs: - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_boolean_expressions data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_boolean_expressions_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_causal_judgement data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_causal_judgement_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_date_understanding data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_date_understanding_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_disambiguation_qa data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_disambiguation_qa_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_formal_fallacies data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_formal_fallacies_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_geometric_shapes data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_geometric_shapes_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_hyperbaton data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_hyperbaton_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_logical_deduction_five_objects data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_five_objects_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_logical_deduction_seven_objects data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_seven_objects_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_logical_deduction_three_objects data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_logical_deduction_three_objects_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_movie_recommendation data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_movie_recommendation_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_navigate data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_navigate_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_object_counting data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_object_counting_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_penguins_in_a_table data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_penguins_in_a_table_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_reasoning_about_colored_objects data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_reasoning_about_colored_objects_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_ruin_names data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_ruin_names_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_salient_translation_error_detection data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_salient_translation_error_detection_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_snarks data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_snarks_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_sports_understanding data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_sports_understanding_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_temporal_sequences data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_temporal_sequences_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_tracking_shuffled_objects_five_objects data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_five_objects_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_tracking_shuffled_objects_seven_objects data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_seven_objects_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_tracking_shuffled_objects_three_objects data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_tracking_shuffled_objects_three_objects_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_web_of_lies data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_bbh_web_of_lies_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_gpqa_diamond data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_diamond_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_gpqa_extended data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_extended_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_gpqa_main data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_gpqa_main_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_gpqa_main_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_ifeval data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_ifeval_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_ifeval_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_math_algebra_hard data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_math_algebra_hard_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_math_counting_and_prob_hard data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_math_counting_and_prob_hard_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_math_geometry_hard data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_math_geometry_hard_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_math_intermediate_algebra_hard data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_math_intermediate_algebra_hard_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_math_num_theory_hard data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_math_num_theory_hard_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_math_prealgebra_hard data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_math_prealgebra_hard_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_math_precalculus_hard data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_math_precalculus_hard_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_mmlu_pro data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_mmlu_pro_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_musr_murder_mysteries data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_musr_murder_mysteries_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_musr_object_placements data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_musr_object_placements_2024-09-29T19-54-06.744164.jsonl' - config_name: MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_musr_team_allocation data_files: - split: 2024_09_29T19_54_06.744164 path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T19-54-06.744164.jsonl' - split: latest path: - '**/samples_leaderboard_musr_team_allocation_2024-09-29T19-54-06.744164.jsonl' --- # Dataset Card for Evaluation run of MaziyarPanahi/calme-2.5-qwen2-7b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [MaziyarPanahi/calme-2.5-qwen2-7b](https://huggingface.co/MaziyarPanahi/calme-2.5-qwen2-7b) 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/MaziyarPanahi__calme-2.5-qwen2-7b-details", name="MaziyarPanahi__calme-2.5-qwen2-7b__leaderboard_bbh_boolean_expressions", split="latest" ) ``` ## Latest results These are the [latest results from run 2024-09-29T19-54-06.744164](https://huggingface.co/datasets/open-llm-leaderboard/MaziyarPanahi__calme-2.5-qwen2-7b-details/blob/main/MaziyarPanahi__calme-2.5-qwen2-7b/results_2024-09-29T19-54-06.744164.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,none": 0.3681848404255319, "acc_stderr,none": 0.00439720900920118, "exact_match,none": 0.20694864048338368, "exact_match_stderr,none": 0.010320240264084115, "prompt_level_loose_acc,none": 0.2902033271719039, "prompt_level_loose_acc_stderr,none": 0.01953085669122253, "inst_level_strict_acc,none": 0.381294964028777, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.4563497211052017, "acc_norm_stderr,none": 0.00532499454536872, "inst_level_loose_acc,none": 0.42685851318944845, "inst_level_loose_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.2476894639556377, "prompt_level_strict_acc_stderr,none": 0.018576139285185186, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4865474743968061, "acc_norm_stderr,none": 0.006127359256794648, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.82, "acc_norm_stderr,none": 0.024346890650293523, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.6042780748663101, "acc_norm_stderr,none": 0.03585560071592546, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.03063032594455831, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.72, "acc_norm_stderr,none": 0.02845414827783232, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.532, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.029150213374159673, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253244, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.03158465389149899, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.652, "acc_norm_stderr,none": 0.030186568464511683, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.03026628805735993, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.584, "acc_norm_stderr,none": 0.031235856237014553, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.36, "acc_norm_stderr,none": 0.030418764025174985, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.5547945205479452, "acc_norm_stderr,none": 0.04127264774457449, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028129, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.4, "acc_norm_stderr,none": 0.031046021028253244, "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": 0.808, "acc_norm_stderr,none": 0.024960691989171998, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.24, "acc_norm_stderr,none": 0.027065293652239003, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.136, "acc_norm_stderr,none": 0.02172334261705208, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.132, "acc_norm_stderr,none": 0.021450980824038096, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.28, "acc_norm_stderr,none": 0.028454148277832318, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.548, "acc_norm_stderr,none": 0.03153986449255662, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.3104026845637584, "acc_norm_stderr,none": 0.013409389307482606, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.3383838383838384, "acc_norm_stderr,none": 0.03371124142626303, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2948717948717949, "acc_norm_stderr,none": 0.01953225605335248, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.3169642857142857, "acc_norm_stderr,none": 0.022007621584824805, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.2476894639556377, "prompt_level_strict_acc_stderr,none": 0.018576139285185186, "inst_level_strict_acc,none": 0.381294964028777, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.2902033271719039, "prompt_level_loose_acc_stderr,none": 0.01953085669122253, "inst_level_loose_acc,none": 0.42685851318944845, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.20694864048338368, "exact_match_stderr,none": 0.010320240264084115, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.4201954397394137, "exact_match_stderr,none": 0.028216670555899662, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.13821138211382114, "exact_match_stderr,none": 0.03124585165489032, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.09090909090909091, "exact_match_stderr,none": 0.02511722563616079, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.04285714285714286, "exact_match_stderr,none": 0.012125450612513616, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.18181818181818182, "exact_match_stderr,none": 0.03118156093500157, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.35751295336787564, "exact_match_stderr,none": 0.03458816042181005, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.05185185185185185, "exact_match_stderr,none": 0.019154368449050517, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.3681848404255319, "acc_stderr,none": 0.00439720900920118, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.45634920634920634, "acc_norm_stderr,none": 0.017922847958440576, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223564, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.44140625, "acc_norm_stderr,none": 0.031095474260005376, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.368, "acc_norm_stderr,none": 0.030562070620993167, "alias": " - leaderboard_musr_team_allocation" } }, "leaderboard": { "acc,none": 0.3681848404255319, "acc_stderr,none": 0.00439720900920118, "exact_match,none": 0.20694864048338368, "exact_match_stderr,none": 0.010320240264084115, "prompt_level_loose_acc,none": 0.2902033271719039, "prompt_level_loose_acc_stderr,none": 0.01953085669122253, "inst_level_strict_acc,none": 0.381294964028777, "inst_level_strict_acc_stderr,none": "N/A", "acc_norm,none": 0.4563497211052017, "acc_norm_stderr,none": 0.00532499454536872, "inst_level_loose_acc,none": 0.42685851318944845, "inst_level_loose_acc_stderr,none": "N/A", "prompt_level_strict_acc,none": 0.2476894639556377, "prompt_level_strict_acc_stderr,none": 0.018576139285185186, "alias": "leaderboard" }, "leaderboard_bbh": { "acc_norm,none": 0.4865474743968061, "acc_norm_stderr,none": 0.006127359256794648, "alias": " - leaderboard_bbh" }, "leaderboard_bbh_boolean_expressions": { "acc_norm,none": 0.82, "acc_norm_stderr,none": 0.024346890650293523, "alias": " - leaderboard_bbh_boolean_expressions" }, "leaderboard_bbh_causal_judgement": { "acc_norm,none": 0.6042780748663101, "acc_norm_stderr,none": 0.03585560071592546, "alias": " - leaderboard_bbh_causal_judgement" }, "leaderboard_bbh_date_understanding": { "acc_norm,none": 0.372, "acc_norm_stderr,none": 0.03063032594455831, "alias": " - leaderboard_bbh_date_understanding" }, "leaderboard_bbh_disambiguation_qa": { "acc_norm,none": 0.72, "acc_norm_stderr,none": 0.02845414827783232, "alias": " - leaderboard_bbh_disambiguation_qa" }, "leaderboard_bbh_formal_fallacies": { "acc_norm,none": 0.532, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_formal_fallacies" }, "leaderboard_bbh_geometric_shapes": { "acc_norm,none": 0.304, "acc_norm_stderr,none": 0.029150213374159673, "alias": " - leaderboard_bbh_geometric_shapes" }, "leaderboard_bbh_hyperbaton": { "acc_norm,none": 0.6, "acc_norm_stderr,none": 0.031046021028253244, "alias": " - leaderboard_bbh_hyperbaton" }, "leaderboard_bbh_logical_deduction_five_objects": { "acc_norm,none": 0.46, "acc_norm_stderr,none": 0.03158465389149899, "alias": " - leaderboard_bbh_logical_deduction_five_objects" }, "leaderboard_bbh_logical_deduction_seven_objects": { "acc_norm,none": 0.468, "acc_norm_stderr,none": 0.031621252575725504, "alias": " - leaderboard_bbh_logical_deduction_seven_objects" }, "leaderboard_bbh_logical_deduction_three_objects": { "acc_norm,none": 0.652, "acc_norm_stderr,none": 0.030186568464511683, "alias": " - leaderboard_bbh_logical_deduction_three_objects" }, "leaderboard_bbh_movie_recommendation": { "acc_norm,none": 0.648, "acc_norm_stderr,none": 0.03026628805735993, "alias": " - leaderboard_bbh_movie_recommendation" }, "leaderboard_bbh_navigate": { "acc_norm,none": 0.584, "acc_norm_stderr,none": 0.031235856237014553, "alias": " - leaderboard_bbh_navigate" }, "leaderboard_bbh_object_counting": { "acc_norm,none": 0.36, "acc_norm_stderr,none": 0.030418764025174985, "alias": " - leaderboard_bbh_object_counting" }, "leaderboard_bbh_penguins_in_a_table": { "acc_norm,none": 0.5547945205479452, "acc_norm_stderr,none": 0.04127264774457449, "alias": " - leaderboard_bbh_penguins_in_a_table" }, "leaderboard_bbh_reasoning_about_colored_objects": { "acc_norm,none": 0.48, "acc_norm_stderr,none": 0.031660853408495185, "alias": " - leaderboard_bbh_reasoning_about_colored_objects" }, "leaderboard_bbh_ruin_names": { "acc_norm,none": 0.564, "acc_norm_stderr,none": 0.03142556706028129, "alias": " - leaderboard_bbh_ruin_names" }, "leaderboard_bbh_salient_translation_error_detection": { "acc_norm,none": 0.4, "acc_norm_stderr,none": 0.031046021028253244, "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": 0.808, "acc_norm_stderr,none": 0.024960691989171998, "alias": " - leaderboard_bbh_sports_understanding" }, "leaderboard_bbh_temporal_sequences": { "acc_norm,none": 0.24, "acc_norm_stderr,none": 0.027065293652239003, "alias": " - leaderboard_bbh_temporal_sequences" }, "leaderboard_bbh_tracking_shuffled_objects_five_objects": { "acc_norm,none": 0.136, "acc_norm_stderr,none": 0.02172334261705208, "alias": " - leaderboard_bbh_tracking_shuffled_objects_five_objects" }, "leaderboard_bbh_tracking_shuffled_objects_seven_objects": { "acc_norm,none": 0.132, "acc_norm_stderr,none": 0.021450980824038096, "alias": " - leaderboard_bbh_tracking_shuffled_objects_seven_objects" }, "leaderboard_bbh_tracking_shuffled_objects_three_objects": { "acc_norm,none": 0.28, "acc_norm_stderr,none": 0.028454148277832318, "alias": " - leaderboard_bbh_tracking_shuffled_objects_three_objects" }, "leaderboard_bbh_web_of_lies": { "acc_norm,none": 0.548, "acc_norm_stderr,none": 0.03153986449255662, "alias": " - leaderboard_bbh_web_of_lies" }, "leaderboard_gpqa": { "acc_norm,none": 0.3104026845637584, "acc_norm_stderr,none": 0.013409389307482606, "alias": " - leaderboard_gpqa" }, "leaderboard_gpqa_diamond": { "acc_norm,none": 0.3383838383838384, "acc_norm_stderr,none": 0.03371124142626303, "alias": " - leaderboard_gpqa_diamond" }, "leaderboard_gpqa_extended": { "acc_norm,none": 0.2948717948717949, "acc_norm_stderr,none": 0.01953225605335248, "alias": " - leaderboard_gpqa_extended" }, "leaderboard_gpqa_main": { "acc_norm,none": 0.3169642857142857, "acc_norm_stderr,none": 0.022007621584824805, "alias": " - leaderboard_gpqa_main" }, "leaderboard_ifeval": { "prompt_level_strict_acc,none": 0.2476894639556377, "prompt_level_strict_acc_stderr,none": 0.018576139285185186, "inst_level_strict_acc,none": 0.381294964028777, "inst_level_strict_acc_stderr,none": "N/A", "prompt_level_loose_acc,none": 0.2902033271719039, "prompt_level_loose_acc_stderr,none": 0.01953085669122253, "inst_level_loose_acc,none": 0.42685851318944845, "inst_level_loose_acc_stderr,none": "N/A", "alias": " - leaderboard_ifeval" }, "leaderboard_math_hard": { "exact_match,none": 0.20694864048338368, "exact_match_stderr,none": 0.010320240264084115, "alias": " - leaderboard_math_hard" }, "leaderboard_math_algebra_hard": { "exact_match,none": 0.4201954397394137, "exact_match_stderr,none": 0.028216670555899662, "alias": " - leaderboard_math_algebra_hard" }, "leaderboard_math_counting_and_prob_hard": { "exact_match,none": 0.13821138211382114, "exact_match_stderr,none": 0.03124585165489032, "alias": " - leaderboard_math_counting_and_prob_hard" }, "leaderboard_math_geometry_hard": { "exact_match,none": 0.09090909090909091, "exact_match_stderr,none": 0.02511722563616079, "alias": " - leaderboard_math_geometry_hard" }, "leaderboard_math_intermediate_algebra_hard": { "exact_match,none": 0.04285714285714286, "exact_match_stderr,none": 0.012125450612513616, "alias": " - leaderboard_math_intermediate_algebra_hard" }, "leaderboard_math_num_theory_hard": { "exact_match,none": 0.18181818181818182, "exact_match_stderr,none": 0.03118156093500157, "alias": " - leaderboard_math_num_theory_hard" }, "leaderboard_math_prealgebra_hard": { "exact_match,none": 0.35751295336787564, "exact_match_stderr,none": 0.03458816042181005, "alias": " - leaderboard_math_prealgebra_hard" }, "leaderboard_math_precalculus_hard": { "exact_match,none": 0.05185185185185185, "exact_match_stderr,none": 0.019154368449050517, "alias": " - leaderboard_math_precalculus_hard" }, "leaderboard_mmlu_pro": { "acc,none": 0.3681848404255319, "acc_stderr,none": 0.00439720900920118, "alias": " - leaderboard_mmlu_pro" }, "leaderboard_musr": { "acc_norm,none": 0.45634920634920634, "acc_norm_stderr,none": 0.017922847958440576, "alias": " - leaderboard_musr" }, "leaderboard_musr_murder_mysteries": { "acc_norm,none": 0.56, "acc_norm_stderr,none": 0.03145724452223564, "alias": " - leaderboard_musr_murder_mysteries" }, "leaderboard_musr_object_placements": { "acc_norm,none": 0.44140625, "acc_norm_stderr,none": 0.031095474260005376, "alias": " - leaderboard_musr_object_placements" }, "leaderboard_musr_team_allocation": { "acc_norm,none": 0.368, "acc_norm_stderr,none": 0.030562070620993167, "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]

itaylotan/previous_cycle_flow_artifacts__recreation_test__dataset

itaylotan

--- dataset_info: features: - name: id dtype: int64 - name: consult_input dtype: string - name: turing_output dtype: string - name: patient_info dtype: string - name: hospital_info dtype: string - name: case_info dtype: string - name: text_question dtype: string - name: difficulty_tags dtype: string - name: question_tag dtype: string - name: signals_present dtype: string - name: signals_not_present dtype: string - name: signals_present_id dtype: string - name: signals_not_present_id dtype: string - name: diagnosis_present dtype: string - name: diagnosis_not_present dtype: string - name: diagnosis_present_id dtype: string - name: diagnosis_not_present_id dtype: string - name: recommendations_present dtype: string - name: recommendations_not_present dtype: string - name: recommendations_present_id dtype: string - name: recommendations_not_present_id dtype: string splits: - name: train num_bytes: 133241595 num_examples: 9000 - name: test num_bytes: 14850635 num_examples: 1000 download_size: 32164893 dataset_size: 148092230 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

igandhi/20_times_dataset_picture_Hr_split

igandhi

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': train '1': val splits: - name: train num_bytes: 15228759.0 num_examples: 400 - name: validation num_bytes: 3220647.0 num_examples: 85 download_size: 18455477 dataset_size: 18449406.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

unfake/portufake

unfake

--- license: mit ---

aircrypto/English-French-Translations-Train-Large

aircrypto

--- dataset_info: features: - name: english dtype: string - name: label dtype: int64 - name: french dtype: string splits: - name: train num_bytes: 2170453 num_examples: 8000 download_size: 1478247 dataset_size: 2170453 configs: - config_name: default data_files: - split: train path: data/train-* ---

harshana95/center_color_psfs_02s0db_synthetic_Flickr2k_cropped_PCA_interp_file

harshana95

--- dataset_info: features: - name: gt dtype: image - name: blur dtype: image splits: - name: train num_bytes: 7515219917.32 num_examples: 3020 - name: validation num_bytes: 73036601.0 num_examples: 31 download_size: 6547196260 dataset_size: 7588256518.32 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

optimal-sampling/qwen-1.5-32B-K-100-test

optimal-sampling

--- dataset_info: features: - name: problem dtype: string - name: level dtype: string - name: type dtype: string - name: solution dtype: string - name: prompt dtype: string - name: inference_id dtype: int64 - name: response dtype: string splits: - name: train num_bytes: 1246259886 num_examples: 500000 download_size: 241676680 dataset_size: 1246259886 configs: - config_name: default data_files: - split: train path: data/train-* ---

eggie5-adyen/test-ds

eggie5-adyen

--- language: - en pretty_name: Adyen Data Agents Benchmark Dataset dataset_info: - config_name: answers features: - name: task_id dtype: int64 - name: level dtype: string - name: answer sequence: string - name: annotator_metadata dtype: string - name: file_ids sequence: int64 splits: - name: validation num_bytes: 6915 num_examples: 71 - name: test num_bytes: 12309 num_examples: 6 download_size: 23417 dataset_size: 19224 - config_name: context_files features: - name: file_path dtype: string - name: file_type dtype: string splits: - name: default num_bytes: 713 num_examples: 7 download_size: 27623566 dataset_size: 713 - config_name: questions features: - name: task_id dtype: int64 - name: question sequence: string - name: level dtype: string - name: file_ids sequence: int64 splits: - name: validation num_bytes: 7077 num_examples: 71 - name: test num_bytes: 2933 num_examples: 6 download_size: 12450 dataset_size: 10010 - config_name: submissions features: - name: agent_name dtype: string - name: task_id dtype: int64 - name: agent_answer sequence: string - name: prompt sequence: string - name: steps list: list: - name: content dtype: string - name: role dtype: string - name: tool_calls list: - name: function struct: - name: arguments struct: - name: code dtype: string - name: name dtype: string - name: type dtype: string splits: - name: validation num_bytes: 121308 num_examples: 71 - name: test num_bytes: 28093 num_examples: 6 download_size: 181685 dataset_size: 149401 - config_name: system_scores features: - name: agent_name dtype: string - name: level dtype: string - name: score dtype: float64 splits: - name: validation num_bytes: 77 num_examples: 3 - name: test num_bytes: 77 num_examples: 3 download_size: 207 dataset_size: 154 - config_name: task_scores features: - name: agent_name dtype: string - name: task_id dtype: int64 - name: agent_answer sequence: string - name: gold_answer sequence: string - name: partial_score sequence: bool - name: score dtype: float64 - name: level dtype: string splits: - name: validation num_bytes: 12536 num_examples: 71 - name: test num_bytes: 2737 num_examples: 6 download_size: 20367 dataset_size: 15273 --- # Adyen Data Agents Benchmark Dataset ## Data and leaderboard

HuggingFaceH4/10k_prompts_ranked

HuggingFaceH4

--- dataset_info: features: - name: prompt list: - name: content dtype: string - name: role dtype: string - name: quality list: - name: user_id dtype: string id: question - name: value dtype: string id: suggestion - name: status dtype: string id: question - name: metadata dtype: string id: metadata - name: avg_rating dtype: float64 - name: num_responses dtype: int64 - name: agreement_ratio dtype: float64 - name: raw_responses sequence: int64 - name: kind dtype: string - name: cluster_description dtype: string - name: topic dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 14700752.673603717 num_examples: 10231 - name: test num_bytes: 143688.32639628302 num_examples: 100 download_size: 6938601 dataset_size: 14844441.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

joelniklaus/SwissDecisionSummaryTranslations

joelniklaus

--- configs: - config_name: bge_level data_files: - split: train path: bge_level/train.jsonl.gz - split: validation path: bge_level/val.jsonl.gz - split: test path: bge_level/test.jsonl.gz - config_name: regeste_level data_files: - split: train path: regeste_level/train.jsonl.gz - split: validation path: regeste_level/val.jsonl.gz - split: test path: regeste_level/test.jsonl.gz - config_name: text_level data_files: - split: train path: text_level/train.jsonl.gz - split: validation path: text_level/val.jsonl.gz - split: test path: text_level/test.jsonl.gz task_categories: - translation language: - de - fr - it tags: - legal pretty_name: Swiss Decision Summary Translations size_categories: - 10K<n<100K --- # Dataset Card for Swiss Decision Summary Translations This dataset card aims to describe a dataset from summaries of Swiss leading court decisions (also known as "BGE" or "Bundesgerichtsentscheide") from the Swiss Supreme Court: [https://bger.ch](https://bger.ch). It is a parallel dataset that offers translations at three different levels: the entire summary (bge_level), the regeste level (regeste_level), and the text level (text_level). ## Dataset Details ### Dataset Description This dataset consists of summaries of leading Swiss Supreme Court decisions. These summaries are provided in three languages (German, French, Italian) and are available at three distinct levels of granularity: - **bge_level**: The entire summary of the court decision. - **regeste_level**: A summary focused on the core legal issue. - **text_level**: A further detailed extraction of specific legal statements. The dataset can be used for various natural language processing tasks such as multilingual text alignment, machine translation, and legal text analysis. - **Curated by:** Joel Niklaus - **Funded by [optional]:** Swiss Federal Supreme Court - **Shared by [optional]:** Joel Niklaus - **Language(s) (NLP):** German (de), French (fr), Italian (it) - **License:** [More Information Needed] ### Dataset Sources [optional] - **Repository:** https://github.com/JoelNiklaus/SwissLegalTranslations - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use This dataset can be used for: - Multilingual text alignment and translation tasks between German, French, and Italian. - Legal text analysis and summarization, with a focus on Swiss law. - Language model training or fine-tuning on legal domain-specific text. ### Out-of-Scope Use The dataset is not suitable for tasks unrelated to legal text processing or without consideration for the specific legal context of Swiss Supreme Court decisions. ## Dataset Structure The dataset is structured into three levels: 1. **bge_level**: Contains full summaries of court decisions in German, French, and Italian. - Fields: - `bge`: Case identifier. - `year`: Year of the decision. - `volume`: Volume number of the decision. - `pageNumber`: Page number of the decision. - `de_bgeText`: Full summary in German. - `fr_bgeText`: Full summary in French. - `it_bgeText`: Full summary in Italian. 2. **regeste_level**: Contains regeste summaries (core legal issues) in the three languages. - Fields: - `bge`: Case identifier. - `year`: Year of the decision. - `volume`: Volume number of the decision. - `pageNumber`: Page number of the decision. - `regesteNumber`: Number assigned to the regeste. - `de_regesteTitle`: Regeste title in German. - `fr_regesteTitle`: Regeste title in French. - `it_regesteTitle`: Regeste title in Italian. - `de_regesteText`: Regeste text in German. - `fr_regesteText`: Regeste text in French. - `it_regesteText`: Regeste text in Italian. 3. **text_level**: Contains more detailed text extracts from the decisions, available in all three languages. - Fields: - `bge`: Case identifier. - `year`: Year of the decision. - `volume`: Volume number of the decision. - `pageNumber`: Page number of the decision. - `regesteNumber`: Number assigned to the regeste. - `textNumber`: Number assigned to the specific text extract. - `de_text`: Text extract in German. - `fr_text`: Text extract in French. - `it_text`: Text extract in Italian. ### Example Code ```python from datasets import load_dataset # Load the datasets for each level bge_dataset = load_dataset('joelniklaus/SwissDecisionSummaryTranslations', name='bge_level', trust_remote_code=True) regeste_dataset = load_dataset('joelniklaus/SwissDecisionSummaryTranslations', name='regeste_level', trust_remote_code=True) text_dataset = load_dataset('joelniklaus/SwissDecisionSummaryTranslations', name='text_level', trust_remote_code=True) # Print datasets for inspection print(bge_dataset, regeste_dataset, text_dataset) ``` ## Dataset Creation ### Curation Rationale The dataset was created to enable the development of multilingual models for the legal domain, specifically focused on Swiss law. By providing translations at multiple levels of granularity, it supports a range of use cases from high-level summaries to detailed legal text analysis. ### Source Data The dataset is derived from official Swiss Supreme Court decision summaries, which are publicly available on [bger.ch](https://bger.ch). #### Data Collection and Processing The summaries were extracted and processed from official court records, normalized across the three languages (German, French, Italian), and structured into the different levels (bge_level, regeste_level, text_level). The dataset was cleaned and formatted into JSONL format for ease of use. #### Who are the source data producers? The source data is produced by the Swiss Federal Supreme Court, which publishes leading court decisions in multiple languages (German, French, and Italian). ### Annotations [optional] No additional annotations have been added beyond the original translations provided by the Swiss Supreme Court. #### Personal and Sensitive Information The dataset does not contain any personal, sensitive, or private information as it consists solely of legal summaries from public court decisions. ## Bias, Risks, and Limitations The dataset may reflect biases inherent in the Swiss legal system and judicial processes. Users should be aware that the dataset only represents leading decisions from the Swiss Supreme Court, which may not reflect the entirety of Swiss law or legal perspectives. ### Recommendations Users should consider the legal context and jurisdiction-specific nature of the dataset when applying models trained on this data. The dataset is best used for tasks related to legal language and multilingual processing in the legal domain. ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] - **BGE**: Bundesgerichtsentscheide (leading court decisions from the Swiss Supreme Court). - **Regeste**: A concise summary of the legal issue(s) in a court decision. ## More Information [optional] [More Information Needed] ## Dataset Card Authors Joel Niklaus ## Dataset Card Contact [Joel Niklaus](mailto:joel@niklaus.ai)

kongzym/gsm8k_merge

kongzym

--- license: mit configs: - config_name: default data_files: - split: test path: "main/gsm8k_debug.json" ---

pdf2dataset/8862ce00de9483194499e7734d02630f

pdf2dataset

--- dataset_info: features: - name: text dtype: string - name: source dtype: string splits: - name: train num_bytes: 275605 num_examples: 92 download_size: 106742 dataset_size: 275605 configs: - config_name: default data_files: - split: train path: data/train-* ---

tukey/documents_letter_1000

tukey

--- dataset_info: features: - name: image dtype: image - name: answer dtype: string splits: - name: train num_bytes: 211446671.0 num_examples: 1000 download_size: 210971552 dataset_size: 211446671.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Jonathan-Zhou/GameLabel-10k

Jonathan-Zhou

--- license: apache-2.0 language: - en size_categories: - 1K<n<10K --- This dataset contains was created in collaboration with the game developers of Armchair Commander. It contains 9800 human preferences over pairs of Flux-Schnell generated images, with over 6800 unique prompts. Image data is base64 encoded, and images with more votes are more preferred over their counterparts. Paper coming soon!

tukey/documents_scientific_publications_2000

tukey

--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 786751102.681199 num_examples: 2000 download_size: 789461685 dataset_size: 786751102.681199 configs: - config_name: default data_files: - split: train path: data/train-* ---

tukey/documents_scientific_report_2000

tukey

--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 401651678.6004804 num_examples: 2000 download_size: 405516606 dataset_size: 401651678.6004804 configs: - config_name: default data_files: - split: train path: data/train-* ---

tukey/documents_email_1000

tukey

--- dataset_info: features: - name: image dtype: image - name: answer dtype: string splits: - name: train num_bytes: 100916189.0 num_examples: 1000 download_size: 99678202 dataset_size: 100916189.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

tukey/documents_news_article_2000

tukey

--- dataset_info: features: - name: image dtype: image splits: - name: train num_bytes: 752552554.1015022 num_examples: 2000 download_size: 754240082 dataset_size: 752552554.1015022 configs: - config_name: default data_files: - split: train path: data/train-* ---

jayavibhav/text2sql-cleaned

jayavibhav

--- dataset_info: features: - name: source dtype: string - name: conversations list: - name: from dtype: string - name: value dtype: string splits: - name: train num_bytes: 328939238 num_examples: 262208 download_size: 83829798 dataset_size: 328939238 configs: - config_name: default data_files: - split: train path: data/train-* ---

tukey/sampled-arxiv-ocr001_2000

tukey

--- dataset_info: features: - name: id dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: images list: - name: bytes dtype: binary - name: path dtype: 'null' splits: - name: train num_bytes: 1629830361 num_examples: 2000 download_size: 1477730572 dataset_size: 1629830361 configs: - config_name: default data_files: - split: train path: data/train-* ---

tukey/documents_handwritten_2000

tukey

--- dataset_info: features: - name: image dtype: image - name: answer dtype: string splits: - name: train num_bytes: 463779958.9257504 num_examples: 2000 download_size: 456813078 dataset_size: 463779958.9257504 configs: - config_name: default data_files: - split: train path: data/train-* ---

HuggingFaceTB/mcf-qa-prompt-explanation

HuggingFaceTB

--- dataset_info: features: - name: topic dtype: string - name: subtopic dtype: string - name: subsubtopic dtype: string - name: full_topic dtype: string - name: prompt_everyday dtype: string - name: prompt_generic dtype: string - name: prompt_explanation dtype: string - name: llm_response dtype: string splits: - name: train_sft num_bytes: 7248720 num_examples: 2260 download_size: 1864577 dataset_size: 7248720 configs: - config_name: default data_files: - split: train_sft path: data/train_sft-* ---

Vipitis/Shadereval-results

Vipitis

--- license: apache-2.0 --- ## WIP eval results kinda motivated by the advice in https://huggingface.co/docs/leaderboards/leaderboards/building_page but also doing it myself some parts of the way. the task can be found here: https://github.com/bigcode-project/bigcode-evaluation-harness/pull/173 the associated dataset is here: https://huggingface.co/datasets/Vipitis/Shadereval-experiments-dev metric and likely leaderboard will be here (once updated): https://huggingface.co/spaces/Vipitis/shadermatch plenty of stuff to figure out here.