open-llm-leaderboard-old/details_uukuguy__speechless-tora-code-7b-v1.0

Name: open-llm-leaderboard-old/details_uukuguy__speechless-tora-code-7b-v1.0
Creator: open-llm-leaderboard-old
Published: 2023-10-29 00:51:29
License: 暂无描述

Hugging Face2023-10-29 更新2024-06-22 收录

下载链接：

https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_uukuguy__speechless-tora-code-7b-v1.0

下载链接

链接失效反馈

官方服务：

资源简介：

--- pretty_name: Evaluation run of uukuguy/speechless-tora-code-7b-v1.0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [uukuguy/speechless-tora-code-7b-v1.0](https://huggingface.co/uukuguy/speechless-tora-code-7b-v1.0)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 64 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 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 (and is used to compute and display the agregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\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(\"open-llm-leaderboard/details_uukuguy__speechless-tora-code-7b-v1.0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-29T00:51:17.507006](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-tora-code-7b-v1.0/blob/main/results_2023-10-29T00-51-17.507006.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 \"em\": 0.23468959731543623,\n\ \ \"em_stderr\": 0.004340156396807698,\n \"f1\": 0.2847546140939602,\n\ \ \"f1_stderr\": 0.004356308687759715,\n \"acc\": 0.31907139476284024,\n\ \ \"acc_stderr\": 0.00809586320650362\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.23468959731543623,\n \"em_stderr\": 0.004340156396807698,\n\ \ \"f1\": 0.2847546140939602,\n \"f1_stderr\": 0.004356308687759715\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.009097801364670205,\n \ \ \"acc_stderr\": 0.0026153265107756725\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6290449881610103,\n \"acc_stderr\": 0.013576399902231568\n\ \ }\n}\n```" repo_url: https://huggingface.co/uukuguy/speechless-tora-code-7b-v1.0 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|arc:challenge|25_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-10-10T14-11-59.032357.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_29T00_51_17.507006 path: - '**/details_harness|drop|3_2023-10-29T00-51-17.507006.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-29T00-51-17.507006.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_29T00_51_17.507006 path: - '**/details_harness|gsm8k|5_2023-10-29T00-51-17.507006.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-29T00-51-17.507006.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hellaswag|10_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-management|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-management|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-10-10T14-11-59.032357.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-management|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-virology|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-10-10T14-11-59.032357.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_10_10T14_11_59.032357 path: - '**/details_harness|truthfulqa:mc|0_2023-10-10T14-11-59.032357.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-10-10T14-11-59.032357.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_29T00_51_17.507006 path: - '**/details_harness|winogrande|5_2023-10-29T00-51-17.507006.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-29T00-51-17.507006.parquet' - config_name: results data_files: - split: 2023_10_10T14_11_59.032357 path: - results_2023-10-10T14-11-59.032357.parquet - split: 2023_10_29T00_51_17.507006 path: - results_2023-10-29T00-51-17.507006.parquet - split: latest path: - results_2023-10-29T00-51-17.507006.parquet --- # Dataset Card for Evaluation run of uukuguy/speechless-tora-code-7b-v1.0 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/uukuguy/speechless-tora-code-7b-v1.0 - **Paper:** - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard - **Point of Contact:** clementine@hf.co ### Dataset Summary Dataset automatically created during the evaluation run of model [uukuguy/speechless-tora-code-7b-v1.0](https://huggingface.co/uukuguy/speechless-tora-code-7b-v1.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 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 (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). 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/details_uukuguy__speechless-tora-code-7b-v1.0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-29T00:51:17.507006](https://huggingface.co/datasets/open-llm-leaderboard/details_uukuguy__speechless-tora-code-7b-v1.0/blob/main/results_2023-10-29T00-51-17.507006.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": { "em": 0.23468959731543623, "em_stderr": 0.004340156396807698, "f1": 0.2847546140939602, "f1_stderr": 0.004356308687759715, "acc": 0.31907139476284024, "acc_stderr": 0.00809586320650362 }, "harness|drop|3": { "em": 0.23468959731543623, "em_stderr": 0.004340156396807698, "f1": 0.2847546140939602, "f1_stderr": 0.004356308687759715 }, "harness|gsm8k|5": { "acc": 0.009097801364670205, "acc_stderr": 0.0026153265107756725 }, "harness|winogrande|5": { "acc": 0.6290449881610103, "acc_stderr": 0.013576399902231568 } } ``` ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]

提供机构：

open-llm-leaderboard-old

原始信息汇总

数据集概述

该数据集是在评估模型 uukuguy/speechless-tora-code-7b-v1.0 在 Open LLM Leaderboard 上的自动创建的。

数据集组成

数据集包含 64 个配置，每个配置对应一个评估任务。
数据集从 2 次运行中创建，每个运行可以在每个配置中作为一个特定的分割找到，分割名称使用运行的时间戳。
"train" 分割始终指向最新的结果。
一个额外的配置 "results" 存储所有运行的聚合结果，用于计算和显示在 Open LLM Leaderboard 上的聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_uukuguy__speechless-tora-code-7b-v1.0", "harness_winogrande_5", split="train")

配置详情

harness_arc_challenge_25
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|arc:challenge|25_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|arc:challenge|25_2023-10-10T14-11-59.032357.parquet
harness_drop_3
- 分割：2023_10_29T00_51_17.507006
  - 路径：**/details_harness|drop|3_2023-10-29T00-51-17.507006.parquet
- 分割：latest
  - 路径：**/details_harness|drop|3_2023-10-29T00-51-17.507006.parquet
harness_gsm8k_5
- 分割：2023_10_29T00_51_17.507006
  - 路径：**/details_harness|gsm8k|5_2023-10-29T00-51-17.507006.parquet
- 分割：latest
  - 路径：**/details_harness|gsm8k|5_2023-10-29T00-51-17.507006.parquet
harness_hellaswag_10
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hellaswag|10_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hellaswag|10_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：
    - **/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T14-11-59.032357.parquet
    - **/details_harness|hendrycksTest-anatomy|5_2023-10-10T14-11-59.032357.parquet
    - ...（其他路径省略）
- 分割：latest
  - 路径：
    - **/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T14-11-59.032357.parquet
    - **/details_harness|hendrycksTest-anatomy|5_2023-10-10T14-11-59.032357.parquet
    - ...（其他路径省略）
harness_hendrycksTest_abstract_algebra_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_anatomy_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-anatomy|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-anatomy|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_astronomy_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-astronomy|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-astronomy|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_business_ethics_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-business_ethics|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_clinical_knowledge_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_college_biology_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-college_biology|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-college_biology|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_college_chemistry_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-college_chemistry|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_college_computer_science_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-college_computer_science|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_college_mathematics_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-college_mathematics|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_college_medicine_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-college_medicine|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_college_physics_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-college_physics|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-college_physics|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_computer_security_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-computer_security|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-computer_security|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_conceptual_physics_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_econometrics_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：**/details_harness|hendrycksTest-econometrics|5_2023-10-10T14-11-59.032357.parquet
- 分割：latest
  - 路径：**/details_harness|hendrycksTest-econometrics|5_2023-10-10T14-11-59.032357.parquet
harness_hendrycksTest_electrical_engineering_5
- 分割：2023_10_10T14_11_59.032357
  - 路径：`**/details_harness|hendrycksTest

搜集汇总

数据集介绍

构建方式

该数据集是在Open LLM Leaderboard框架下，对模型uukuguy/speechless-tora-code-7b-v1.0进行自动化评估过程中生成的。数据集包含64个配置，每个配置对应一项评估任务，数据来源于两次独立的评估运行。每次运行的结果被存储为特定的分割，分割名称以时间戳标识，而'train'分割始终指向最新的评估结果。此外，还包含一个名为'results'的独立配置，用于汇总所有运行的聚合指标，这些指标被用于计算和展示排行榜上的综合得分。

特点

数据集的核心特点在于其结构化的多任务评估体系，覆盖了从常识推理（如ARC、HellaSwag）到数学推理（如GSM8K）、阅读理解（如DROP）以及多领域知识测试（如HendrycksTest）等多样化任务。每个任务配置均包含详细的评估指标，如准确率、F1分数和精确匹配率，并附有标准误差以反映统计可靠性。数据以Parquet格式存储，支持高效读取，且通过时间戳分割保留了历史评估轨迹，便于追踪模型性能的演化。

使用方法

用户可通过HuggingFace的datasets库便捷地加载该数据集。例如，使用load_dataset函数指定数据集名称和任务配置（如'harness_winogrande_5'），并通过split参数选择特定的运行结果（如'train'或时间戳分割）。对于需要聚合分析的应用，可以访问'results'配置获取整体指标。该数据集特别适合用于复现Open LLM Leaderboard的评估结果、对比不同模型的性能差异，或作为基准测试的参考数据源。

背景与挑战

背景概述

在大规模语言模型迅猛发展的浪潮中，如何系统性地评估模型在多样化自然语言理解与生成任务上的综合能力，成为推动该领域进步的关键命题。为此，Hugging Face团队于2023年构建了Open LLM Leaderboard评测体系，旨在为开放社区提供一个透明、可复现的模型性能比较平台。本数据集正是该评测体系针对uukuguy/speechless-tora-code-7b-v1.0模型运行结果的具体记录，由Hugging Face的核心研究人员Clémentine Fourrier等人主导创建。该数据集聚焦于揭示该代码增强型语言模型在ARC、DROP、GSM8K、Winogrande及HellaSwag等多项基准上的表现，其核心研究问题在于衡量模型在常识推理、数学求解与文本理解等维度的泛化能力。这一系统化的评估结果不仅为社区提供了模型优缺点的精细画像，也推动了开源大模型评测标准的规范化与透明化。

当前挑战

本数据集所承载的挑战首先体现在领域问题的复杂性上：语言模型需同时应对常识问答（ARC）、离散推理（DROP）、数学解题（GSM8K）及代词消解（Winogrande）等异质性任务，每个任务对逻辑链长度、符号操作与常识知识的要求截然不同，导致单一模型难以在所有维度上达到均衡表现。其次，在数据集构建过程中，评测流程面临多重技术难题：确保不同任务之间评测配置的一致性，避免因few-shot样例选择或解码参数差异而产生的偏差；管理多次运行结果的时间戳对齐与版本控制，以保证最新结果的可追溯性；以及高效存储和索引覆盖57个学科（如MMLU）的庞杂评测配置，这要求数据组织架构具备高度灵活性与可扩展性。这些挑战共同构成了对评测基础设施的严苛考验。

常用场景

经典使用场景

在自然语言处理与大规模语言模型的评估领域，该数据集扮演着标准化基准测试的关键角色。它专为HuggingFace Open LLM Leaderboard设计，通过集成如ARC挑战、DROP、GSM8K、HellaSwag及MMLU等多维度任务，系统性地衡量模型在推理、常识理解、数学求解与知识掌握方面的综合能力。研究者可通过加载特定配置，如harness_winogrande_5，复现模型在具体任务上的细粒度表现，从而洞察模型能力的优势与短板。

解决学术问题

该数据集的核心价值在于解决了大语言模型性能评估中缺乏统一、可复现基准的学术难题。通过结构化存储每次评估运行的详细结果与元数据，它使得不同模型间的横向比较成为可能，有效规避了因评估流程差异导致的偏差。其多任务设计覆盖了从基础语言理解到复杂推理的广泛能力谱系，为模型泛化能力的量化分析提供了坚实的数据基础，推动了模型诊断与改进研究的规范化进程。

衍生相关工作

该数据集衍生了一系列关于模型评估方法论与能力分析的开创性工作。例如，基于其细粒度评估结果，研究者提出了任务间能力迁移的分析框架，揭示了模型在推理与知识检索任务上的相关性。此外，该数据集还催生了针对评估噪声与统计显著性的研究，促进了更稳健的模型排名算法的开发。这些工作不仅深化了对大模型能力边界与内在机制的理解，也为后续公平、透明的模型基准测试体系奠定了方法论基础。

以上内容由遇见数据集搜集并总结生成

open-llm-leaderboard/details_uukuguy__speechless-tora-code-7b-v1.0

该数据集是在模型 uukuguy/speechless-tora-code-7b-v1.0 在 Open LLM Leaderboard 上的评估运行期间自动创建的。数据集由 64 个配置组成，每个配置对应一个特定的评估任务。它由 2 次运行生成，每次运行在每个配置中表示为特定的拆分。train 拆分始终指向最新的结果。一个名为 results 的额外配置存储了所有运行的聚合结果，这些结果用于计算

Hugging Face2023-10-29 更新150

open-llm-leaderboard-old/details_uukuguy__speechless-code-mistral-7b-v1.0

该数据集是在评估模型uukuguy/speechless-code-mistral-7b-v1.0时自动创建的，用于Open LLM Leaderboard的评估。数据集包含64个配置，每个配置对应一个评估任务。数据集由3次运行生成，每次运行的结果作为特定分割存储在配置中，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，还有一个名为results的配置，存储所有运行的聚合结果，用

Hugging Face2023-12-08 更新140

open-llm-leaderboard-old/details_uukuguy__speechless-thoughts-mistral-7b-v1.0

该数据集是在评估模型uukuguy/speechless-thoughts-mistral-7b-v1.0时自动生成的，评估是在Open LLM Leaderboard上进行的。数据集由63个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的，每次运行的结果都存储在一个特定的分割中，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，还有一个名为results的配置，存储

Hugging Face2024-02-15 更新190

open-llm-leaderboard-old/details_uukuguy__speechless-coding-7b-16k-tora

该数据集是在模型 uukuguy/speechless-coding-7b-16k-tora 在 Open LLM Leaderboard 上的评估运行期间自动创建的。它由 63 个配置组成，每个配置对应于一个被评估的任务。数据集包含 1 次运行的结果，每次运行在每个配置中表示为特定的分割。train 分割始终指向最新的结果。一个名为 results 的额外配置存储了所有运行的聚合结果，这些结果用

Hugging Face2023-12-09 更新100

open-llm-leaderboard-old/details_uukuguy__speechless-code-mistral-orca-7b-v1.0

该数据集是在Open LLM Leaderboard上对模型uukuguy/speechless-code-mistral-orca-7b-v1.0进行评估时自动创建的。数据集由64个配置组成，每个配置对应一个评估任务。数据集由2次运行创建，每次运行的结果作为特定配置中的一个分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，还有一个名为results的配置存储了所有运行的聚合

Hugging Face2023-10-24 更新90